# LogicMonitor > Proactively improve IT and prevent issues with SaaS-based automated monitoring that deploys in minutes with advanced features for infrastructure, applications and business services. Less remediation, more innovation. --- ## Pages - [LLM Observability](https://www.logicmonitor.com/llm-observability): Get full observability into LLM performance, cost, and risk. Detect issues fast, optimize user interactions, and ensure reliability across your AI pipeline. - [AI Agent for IT Operations Business Value Workshop](https://www.logicmonitor.com/edwin-ai/ai-agent-workshop): Discover where AI agents will drive ROI in IT Ops. Get a free, expert-led workshop with benchmarks, impact estimates, and a tailored roadmap. - [What IT Leaders Need to Know About The Future of AIOps](https://www.logicmonitor.com/agentic-aiops-guide): Discover how agentic AIOps is transforming IT operations from reactive to predictive, driving efficiency, uptime, and resilience through AI-driven automation. - [Dexda now EdwinAI](https://www.logicmonitor.com/logicmonitors-dexda-now-edwinai): Dexda is now Edwin AI—new name, same mission. We’re still committed to helping ITOps teams work smarter with agentic AIOps. - [Netzwerküberwachung](https://www.logicmonitor.com/de/netzwerkuberwachung): Überwachen Sie die Performance Ihrer gesamten Netzwerkinfrastruktur in einer Plattform. Reduzieren Sie Störungen im Netzwerk durch erhöhte Transparenz und nutzen Sie Netzwerkprotokolle sowie Metriken zur schnelleren Fehlerbehebung bei sämtlichen Netzwerk- und IT-Geräten. - [Observability for Generative AI Workloads](https://www.logicmonitor.com/ai-monitoring): Comprehensive observability solutions for Generative AI workloads. Monitor AI infrastructure, models, and applications with hybrid visibility. Optimize performance, reduce costs, and ensure high availability. - [Platform](https://www.logicmonitor.com/platform): Clarity for enterprise IT. LM Envision unites comprehensive monitoring and observability capabilities across your entire infrastructure. - [LM Logs](https://www.logicmonitor.com/logs): LogicMonitor's Log Intelligence Platform powered by LM Logs automatically analyze 100% of your log data to uncover root causes for your alerts and surface previously unknown issues predictively. - [LogicMonitor vs PRTG](https://www.logicmonitor.com/logicmonitor-vs-prtg): Discover why LogicMonitor is the #1 modern alternative to Paessler PRTG network and infrastructure monitoring. - [LogicMonitor vs Centreon](https://www.logicmonitor.com/logicmonitor-vs-centreon): Looking for faster, smarter monitoring? LogicMonitor is the AI-driven observability platform that replaces manual processes, limited automation, and complex setups with seamless, automated, and cloud-ready monitoring. - [LogicMonitor vs SolarWinds](https://www.logicmonitor.com/logicmonitor-vs-solarwinds): Discover why 80%+ of our customers have come from SolarWinds due to a lack of single-pane-of-glass visibility, alert fatigue, missing context in alerts, and problems with monitoring their growing presence in the cloud. - [Network Monitoring Guide](https://www.logicmonitor.com/blog/network-monitoring-guide): Master network monitoring with this complete guide, covering fundamentals, advanced techniques, and best practices to enhance security, reliability, and efficiency. - [LogicMonitor vs Datadog](https://www.logicmonitor.com/logicmonitor-vs-datadog): Compare LogicMonitor vs. Datadog: Discover which platform delivers better scalability, full-stack visibility, AI-driven insights, and transparent pricing for hybrid IT. - [Uptime monitoring](https://www.logicmonitor.com/uptime-monitoring): Ensure uninterrupted performance with LogicMonitor's uptime monitoring. Get real-time insights, proactive alerts, and comprehensive coverage for your IT systems. - [Network topology mapper](https://www.logicmonitor.com/network-topology-mapper): Visualize and optimize your network with LogicMonitor’s Network Topology Mapper. Generate dynamic maps, troubleshoot faster, and enhance collaboration effortlessly. - [Value Added Resellers (VARs)](https://www.logicmonitor.com/value-added-resellers-vars): Discover how the LogicMonitor Partner Program empowers Value Added Resellers (VARs) with tools, training, and resources to drive revenue growth, enhance customer satisfaction, and unlock exclusive incentives. Leverage a robust enablement program, co-brandable marketing assets, and industry-leading technology to scale your business and deliver unparalleled value. - [Cost Optimization Demo](https://www.logicmonitor.com/cost-optimization-demo): Loading demo... - [Global System Integrators Program](https://www.logicmonitor.com/global-system-integrators-program): The LogicMonitor Partner Program empowers Global System Integrators to drive your business growth by upgrading your clients’ legacy monitoring systems with LogicMonitor’s hybrid observability platform powered by AI. - [AI Agent](https://www.logicmonitor.com/edwin-ai/ai-agent): AI Agent by Edwin AI simplifies IT alerts, automates root cause analysis, and prevents disruptions for faster issue response and smarter ops. - [Event Intelligence](https://www.logicmonitor.com/edwin-ai/event-intelligence): Edwin AI’s Event Intelligence feature reduces alert noise, automates triage, and connects root causes across your tech stack. - [Azure Demo](https://www.logicmonitor.com/azure-demo): Loading demo... - [नेटवर्क मॉनिटरिंग | LogicMonitor (network)](https://www.logicmonitor.com/hi/network-monitoring): { "@context": "https://schema. org", "@type": "FAQPage", "mainEntity": } - [LogicMonitor | Observabilidad híbrida impulsada por IA - ES](https://www.logicmonitor.com/es-es): Mejore proactivamente el IT y prevenga problemas con la monitorización automatizada basada en SaaS, que se despliega en minutos y cuenta con características para la infraestructura, aplicaciones y servicios empresariales. - [Monitoreo de red | LogicMonitor - ES](https://www.logicmonitor.com/es-es/monitorizacion-de-red): Obtenga visibilidad sobre el estado y el rendimiento de todo su equipo de red y demás infraestructura de TI en una única plataforma de monitoreo unificada. - [Precios - LogicMonitor: Plataforma de monitoreo basada en SaaS](https://www.logicmonitor.com/es/precios): La estructura de precios de LogicMonitor es sencilla, predecible y está alineada con el valor empresarial, ofreciendo monitoreo moderno a cualquier escala. Extienda la visibilidad y disponibilidad en su entorno híbrido y multicloud con LogicMonitor. - [LogicMonitor | Observabilidad híbrida impulsada por IA](https://www.logicmonitor.com/es): Mejore proactivamente el IT y prevenga problemas con la monitorización automatizada basada en SaaS, que se despliega en minutos y cuenta con características para la infraestructura, aplicaciones y servicios empresariales. - [Monitoreo de red | LogicMonitor](https://www.logicmonitor.com/es/monitoreo-de-red): Obtenga visibilidad sobre el estado y el rendimiento de todo su equipo de red y demás infraestructura de TI en una única plataforma de monitoreo unificada. - [Precios - LogicMonitor: Plataforma de monitoreo basada en SaaS - ES](https://www.logicmonitor.com/es-es/precios): La estructura de precios de LogicMonitor es sencilla, predecible y está alineada con el valor empresarial, ofreciendo monitoreo moderno a cualquier escala. Extienda la visibilidad y disponibilidad en su entorno híbrido y multicloud con LogicMonitor. - [Public Sector IT Operations Assessment](https://www.logicmonitor.com/public-sector-it-operations-assessment): Assess the business value of your Public Sector IT. Overcome tool sprawl, legacy systems, and cloud complexities with our Hybrid Observability Workshop. - [Master Subscription Agreement v3 9/8/23](https://www.logicmonitor.com/msa): The terms of this Master Subscription Agreement (this “MSA” or this “Agreement”) govern your use of, and purchase of subscriptions... - [Edwin AI](https://www.logicmonitor.com/edwin-ai): Optimize incident response and reduce alert noise by 80% with Edwin AI–an AI agent for ITOps from LogicMonitor. - [Generative AI Workshop](https://www.logicmonitor.com/generative-ai-workshop): Request a complimentary Generative AI Workshop today to learn how you can accelerate business outcomes with AI for IT operations! - [Home Page - UK](https://www.logicmonitor.com/uk): Carrier improves visibility into hybrid infrastructure, reduces MTTR, and proactively pinpoints issues before they reach critical status through a single pane of glass view using LogicMonitor. - [Cloud Cost Optimization](https://www.logicmonitor.com/cost-optimization): Unlock the power of LogicMonitor's dynamic insights for cost optimization. Balance performance and cloud costs effortlessly with detailed multi-cloud billing visibility. Empower your Ops teams with AI-powered recommendations for streamlined resource provisioning and reduced operational costs. Optimize your cloud spending confidently with LogicMonitor. - [Cloudbasierte Plattform zur Infrastrukturüberwachung | LogicMonitor](https://www.logicmonitor.com/de): Carrier verbessert die Transparenz der Hybrid-Infrastruktur, reduziert die MTTR und lokalisiert proaktiv Probleme, bevor sie einen kritischen Status erreichen – über eine zentrale Ansicht mit LogicMonitor. - [Cookie Notice](https://www.logicmonitor.com/cookie-notice): // Set to the same value as the web property used on the site var gaProperty = 'UA-5684469-1'; // Disable... - [Product News](https://www.logicmonitor.com/product-updates): Stay up to date with LogicMonitor’s recent announcements and product updates - [Awards](https://www.logicmonitor.com/awards): Learn about LogicMonitor's latest accolades across the industry. - [re:Invent Thank You Confirmation Page](https://www.logicmonitor.com/thank-you-reinvent): Thank you! We have received your request, and a member of our team will be in touch to arrange your... - [LM Elevate Sydney 2023](https://www.logicmonitor.com/elevate-sydney): LogicMonitor’s inaugural Elevate Sydney event will bring our customers and prospects together to learn more about emerging trends to optimize... - [SaaS Monitoring](https://www.logicmonitor.com/saas-monitoring): Your business relies on SaaS solutions to communicate and stay productive every day. Using LogicMonitor, gain full visibility across all the tools you need to keep your business humming. - [SD-WAN Monitoring](https://www.logicmonitor.com/sd-wan-monitoring): Experience holistic SD-WAN monitoring and understand network traffic context alongside the rest of your operations to increase efficiency, reduce risk, and scale networks for customers and employees. - [LogicMonitor vs Zenoss](https://www.logicmonitor.com/logicmonitor-vs-zenoss): The LogicMonitor platform offers superior scalability, advanced automation capabilities, and an intuitive, user-centric interface for effortless monitoring, surpassing Zenoss in every way. See how. - [Candidate resources](https://www.logicmonitor.com/candidate-resources): LogicMonitor’s Candidate Resources Page is a dedicated space for you to gain insight into our interviewing process. - [LogicMonitor vs ScienceLogic](https://www.logicmonitor.com/logicmonitor-vs-sciencelogic): Experience unparalleled system insights and swift issue resolution with LogicMonitor, outshining ScienceLogic in efficiency, scalability, and user-friendly design. - [Customer Education](https://www.logicmonitor.com/customer-education): Upskill your team with LogicMonitor's comprehensive eLearning and training portfolio. Validate skills with certifications and badges. Self-paced, on-demand, and instructor-led training available. Take the next step today. - [CIO](https://www.logicmonitor.com/cio): LogicMonitor empowers CIOs with the ultimate platform to revolutionize the way IT infrastructure is managed; a partner to make sure the lights are staying on, so you can focus on innovation. - [The #1 priority for IT leaders in 2023: observability](https://www.logicmonitor.com/resource/it-observability-research-report): Achieving unified observability in the age of digital transformation and technological convergence - [IT Modernization](https://www.logicmonitor.com/modernization): LogicMonitor modernizes your monitoring, providing full visibility to de-silo your teams and data — and deliver superior across-the-board performance. - [Become a LogicMonitor Partner](https://www.logicmonitor.com/partners-signup): Become a LogicMonitor partner. Sign up today to get started! - [IT Process Automation](https://www.logicmonitor.com/automation): Streamline your IT operations with LogicMonitor's Automation solution. Discover new ways to improve your efficiency and reduce downtime with our powerful and user-friendly automation capabilities. - [Sitemap](https://www.logicmonitor.com/sitemap): The sitemap provides links to all the pages on the website. - [In the Press](https://www.logicmonitor.com/in-the-press): Check out press mentions of LogicMonitor. - [Customers](https://www.logicmonitor.com/customers): Over 2,000 customers trust LogicMonitor as their partner in unified observability . Learn why our customers love us. - [Customer Success at LogicMonitor](https://www.logicmonitor.com/customer-success): With 24/7 all-in support from our highly-trained team and an active community of LogicMonitor customers who are just as dedicated to innovation as you are. - [Virtual Machine Monitoring](https://www.logicmonitor.com/virtual-machine-monitoring): Automatic discovery of virtual machines, hypervisors, and hosts provides in-depth analysis and visualization within minutes. See how! - [ITOps](https://www.logicmonitor.com/itops): ITOps teams are overwhelmed with managing and maintaining increasingly complex infrastructures. A lack of sufficient visibility and control can lead to extended periods of downtime. With LogicMonitor's Hybrid Observability platform, IT teams can prevent and resolve problems quickly, focus on innovation... and get home on time. - [DevOps](https://www.logicmonitor.com/devops): Go beyond traditional resource level performance and availability data. LogicMonitor provides visibility into all of the components that potentially impact the health of your AWS-backed infrastructure and services. - [Solutions](https://www.logicmonitor.com/solutions): Whether you work in MSP, Enterprise IT or somewhere in between, the solution is clear.LogicMonitor is one hybrid observability superpower. Monitor everything, everywhere, from one platform, so you can manage your IT holistically—without the tool sprawl. - [CloudOps](https://www.logicmonitor.com/cloudops): Cloud with confidence. Empower CloudOps teams to monitor resources across multiple clouds to deliver better migrations, optimize cloud resources and spend, and quickly assess root cause of performance and availability issues. - [Cloud Migration](https://www.logicmonitor.com/cloud-migration): Whether public or private, partially on-premises or entirely in the cloud, LogicMonitor clears the way to hit your deadlines and meet performance requirements with cloud migration. - [LogicMonitor vs Dynatrace](https://www.logicmonitor.com/logicmonitor-vs-dynatrace): Learn why thousands of businesses are choosing LogicMonitor as their observability platform over Dynatrace. - [Digital Transformation](https://www.logicmonitor.com/digital-transformation): Digital transformation is an essential step for businesses of any size, helping you create a competitive advantage and deliver continuous value and improvements to your customers. While digital transformation may look different for each company, the outcomes are the same: to become more agile, enhance the customer experience, and increase revenue streams. - [Tool Consolidation](https://www.logicmonitor.com/tool-consolidation): Tool consolidation is the process of strategically combining relevant data, often from disparate sources, into one centralized repository. Learn more! - [Education](https://www.logicmonitor.com/education-sector): Improve the quality and reliability of digital learning environments with LogicMonitor’s Education & Schools IT Monitoring Solutions. Deliver a better experience for students and faculty across the globe. - [State & Local Government](https://www.logicmonitor.com/state-local-government): State and local governments can drive rapid change and continuous innovation with LogicMonitor's Government IT Monitoring Solutions. Harness hybrid observability to enhance efficiency and service delivery. - [Software](https://www.logicmonitor.com/software-companies): Software companies can drive rapid change and continuous innovation with LogicMonitor's Software Companies IT Monitoring Solutions. Utilize hybrid observability to enhance development efficiency and operational performance. - [RMM](https://www.logicmonitor.com/msp/rmm): LogicMonitor makes it possible for MSPs to move beyond break-fix services and offer enterprise-level solutions that match the growing needs of their customers. - [Early Careers/ Internships / Entry Level / New Graduate Careers](https://www.logicmonitor.com/early-careers): Start your professional career on the right foot with LogicMonitor's internships and entry level programs. - [Health and Life Sciences](https://www.logicmonitor.com/health-life-sciences): Improve healthcare efficiency by streamlining IT to ensure availability and improve uptime with LogicMonitor’s advanced monitoring platform. - [Retail](https://www.logicmonitor.com/retail): Optimize your retail operations with LogicMonitor’s hybrid IT monitoring and observability platform. Leverage AI-driven operations and inventory management to prevent downtime, enhance user experiences, and boost efficiency. - [Financial Services](https://www.logicmonitor.com/financial-services): Support fast, secure transactions, improve customer satisfaction, and accelerate development and innovation with LogicMonitor's IT monitoring and observability platform. - [Manufacturing](https://www.logicmonitor.com/manufacturing): Manage IT and OT holistically with LogicMonitor’s hybrid observability and IT monitoring platform to drive innovation and change for your business. - [Application Performance Monitoring](https://www.logicmonitor.com/application-performance-monitoring): Contextually bring together traces, logs and metrics with LogicMonitor's powerful Application Performance Monitoring platform. - [LogicMonitor for MSPs](https://www.logicmonitor.com/msp): Supercharge your managed services with AIOps, IT monitoring, and infrastructure solutions built for the modern age of MSPs. - [LogicMonitor for Enterprises](https://www.logicmonitor.com/enterprise): LogicMonitor provides global enterprises a path to observability in today’s complex and distributed infrastructure landscape. See how! - [Vista Equity Partners and LogicMonitor](https://www.logicmonitor.com/about-us/vista-equity-partners): LogicMonitor is partnered with investment firm Vista Equity Partners. Learn more about our history with Vista. - [Database Monitoring](https://www.logicmonitor.com/database-monitoring): LogicMonitor provides agentless monitoring of a variety of database metrics to operationalize multi-team visibility into infrastructure-level database issues. Experience a single pane of glass view to present database metrics side by side with infrastructure and other items in your technology stack. - [Airbrake: Error and Performance Monitoring](https://www.logicmonitor.com/airbrake-error-and-performance-monitoring): Acquired by LogicMonitor, Airbrake is a developer-centric application error and performance monitoring company. Airbrake was built by developers, for developers. Its cloud-based agentless platform detects errors in every stage of a software development lifecycle to increase speed of delivery while ensuring code quality and reliability. - [Diversity and Culture](https://www.logicmonitor.com/diversity-and-culture): LM supports LMers as we collectively pursue healing, improvement, hope, and ultimately push towards a society where there is justice... - [LogicMonitor Women in STEM Scholarship 2023](https://www.logicmonitor.com/scholarship): LogicMonitor is offering a scholarship for women pursuing careers in STEM for the 2023 school year, starting in the Fall 2023 semester. Apply now! - [Infrastructure Monitoring](https://www.logicmonitor.com/infrastructure-monitoring): Gain full-stack observability across cloud, on-premises, and hybrid environments with LogicMonitor's cloud-based infrastructure monitoring. - [Case Studies](https://www.logicmonitor.com/case-studies): Case studies to help IT managers benefit from our expertise in the IT infrastructure industry. - [Monitoring & Alerting Best Practices Guide](https://www.logicmonitor.com/monitoring-alerting-best-practices-guide): Alerting is an essential aspect of preventing downtime, but it can also be one of the most time-consuming parts of your job. See our best practices! - [IT Downtime & Mitigation Report](https://www.logicmonitor.com/it-downtime-mitigation-report): Is your company prepared for downtime? What steps are you taking to detect and mitigate downtime within your IT infrastructure. See our research results. - [Configuration Monitoring](https://www.logicmonitor.com/configuration-monitoring): Automatically detect changes, manage, and alert on configuration files for any device. Improve IT efficiency and reduce MTTR with configuration monitoring. - [LogicMonitor Platform Demo](https://www.logicmonitor.com/platform-demo): Interested in the LogicMonitor platform? Watch this introduction to our SaaS based technology and see how we can level up your monitoring. - [Integrations](https://www.logicmonitor.com/integrations): With 3000+ integrations out of the box, LogicMonitor helps you see across on-premisess, cloud and hybrid environments. Monitor your servers, networks, containers and more from a single pane of glass. - [LogicMonitor Ambassador Program](https://www.logicmonitor.com/ambassador): As a LogicMonitor Ambassador, you’ll have the chance to connect with, learn from, and influence the IT performance monitoring industry. - [LogicMonitor Security Overview](https://www.logicmonitor.com/resource/security-overview): Describes the security protections of Logicmonitor, as well as the controls implemented to ensure the integrity and availability of the platform. - [Professional Services](https://www.logicmonitor.com/professional-services): Our professional services team helps new clients deploy LogicMonitor as quickly and effectively as possible. From scoping through execution of a detailed project plan, you’ll work closely with our team to implement a monitoring solution tailored to your strategic goals. - [Release Notes](https://www.logicmonitor.com/release-notes): With LogicMonitor's SaaS based monitoring software platform, you always have access to new features as soon as they’re released. - [Press](https://www.logicmonitor.com/press): Get the latest news on releases and updates to the powerful server and infrastructure monitoring SaaS solution from LogicMonitor. - [Leadership](https://www.logicmonitor.com/leadership): At LogicMonitor, we collectively bring decades of experience as IT engineers and professionals, and we pride ourselves on understanding the needs of IT teams. - [Careers](https://www.logicmonitor.com/careers): Join a team of engaging, motivated, intelligent, and energized trouble-shooters who work hard, play hard, and are committed to making an impact. - [Contact](https://www.logicmonitor.com/contact): Get in touch with the LogicMonitor team today and find out how we can help! - [Support](https://www.logicmonitor.com/support): Learn, explore and troubleshoot with LogicMonitor's Support Center. - [About us](https://www.logicmonitor.com/about-us): The people behind LogicMonitor live and breathe network and datacenter operations. We understand the needs of IT teams. - [Homepage](https://www.logicmonitor.com/): LogicMonitor® delivers AI-powered hybrid observability with LM Envision, enabling visibility across on-prem and multi-cloud environments for streamlined IT operations. - [LogicMonitor Blog](https://www.logicmonitor.com/blog): Insights, news, tips and more for optimizing your IT infrastructure. Read the lastest from the LogicMonitor blog. - [Resources](https://www.logicmonitor.com/resources): Blogs, case studies, whitepapers, research reports and other helpful information to help you benefit from our expertise in the IT infrastructure industry. --- --- ## Posts - [Take Your Observability Skills to the Next Level: Introducing LogicMonitor's Badge and Certification Program](https://www.logicmonitor.com/blog/new-badge-certification-program): LogicMonitor's Badge & Certification Program delivers engaging & flexible learning focused on real-world observability skills through LM Envision. - [LogicMonitor eröffnet offiziell neues Rechenzentrum in Frankfurt am Main](https://www.logicmonitor.com/de/logicmonitor-frankfurt-deutsches-rechenzentrum): Mit dem neuen Rechenzentrum in Frankfurt setzt LogicMonitor ein starkes Zeichen. Es stärkt die lokale Compliance, sorgt für blitzschnelle Verbindungen und ist bestens gerüstet für die steigenden Anforderungen hybrider IT in der DACH-Region und ganz Europa. - [LogicMonitor Officially Opens New Data Center in Frankfurt, Germany](https://www.logicmonitor.com/blog/logicmonitor-frankfurt-germany-data-center): LogicMonitor’s new Frankfurt data center enhances local compliance, reduces latency, and supports growing hybrid IT needs across the DACH region and Europe. - [How the University of Western Australia Transformed Campus-Wide IT Operations with LogicMonitor](https://www.logicmonitor.com/case-study/how-the-university-of-western-australia-transformed-campus-wide-it-operations-with-logicmonitor): Discover how the University of Western Australia slashed alerts by 90%, empowered 200+ users with shared visibility, and transformed IT operations campus-wide with LogicMonitor—boosting resilience and enhancing student experiences. - [Presidio, Syngenta, Infosys, NTT Data and AWS Among Those Honored with LogicMonitor Elevate Awards for Excellence in AI-Driven Observability and Data Center Transformation](https://www.logicmonitor.com/press/presidio-syngenta-infosys-ntt-data-and-aws-among-those-honored-with-logicmonitor-elevate-awards-for-excellence-in-ai-driven-observability-and-data-center-transformation): Visionary Customers and Partners Recognized for Driving Operational Excellence and Transformation in the Data Center with LogicMonitor’s AI-Powered Hybrid Observability Platform - [Confused by Agentic AI? Us Too. Here’s the Guide We Wish We’d Had.](https://www.logicmonitor.com/resource/agentic-ai-explained): Confused by agentic AI? You're not alone. This guide explains what AI agents really are, how they differ from chatbots and automation, and what they can (and can’t) do for ITOps.. - [How One MSP Used AI to Cut Noise by 78% and Reclaim Engineering Time](https://www.logicmonitor.com/blog/ai-incident-management-msps): An inside look at how one of APAC’s largest MSPs used AI to reduce operational noise, improve incident resolution, and build a smarter ITOps workflow. - [LogicMonitor Earns 2025 Top Rated Award from TrustRadius](https://www.logicmonitor.com/press/logicmonitor-earns-2025-top-rated-award-from-trustradius): LogicMonitor recognized by customers across multiple categories including AIOps, observability, and IT infrastructure monitoring - [Edwin AI Turns One: What a Year of Agentic AIOps Looks Like](https://www.logicmonitor.com/blog/edwin-ai-turns-one-agentic-aiops-in-production): A look back at Edwin AI’s first year in production, highlighting real-world deployments, technical milestones, and how agentic AIOps is transforming IT operations at scale. - [Ops Explained: AIOps vs. DevOps vs. MLOps vs. Agentic AIOps](https://www.logicmonitor.com/blog/aiops-devops-mlops-and-agentic-aiops): Contrasting DevOps, MLOps, AIOps, and Agentic AIOps: Key differences in automation, technology, and the journey to autonomous IT. - [How Agentic AIOps Automates IT Incident Response](https://www.logicmonitor.com/resource/how-agentic-aiops-automates-it-incident-response): Edwin AI slashes alert noise, finds root causes fast, and automates incident response with agentic AIOps. Read the whitepaper. - [Built for Impact: What Happens When LogicMonitor Edwin AI Meets Infosys AIOps Insights](https://www.logicmonitor.com/blog/edwin-ai-integration-with-infosys-aiops-insights): A look at how LogicMonitor’s Edwin AI and Infosys AIOps Insights are reshaping enterprise observability with real-time intelligence, automation, and measurable results. - [You Can Build Your Own AI Agent for ITOps—But Should You?](https://www.logicmonitor.com/blog/build-vs-buy-ai-agent-itops): AI agents are reshaping IT operations—this piece breaks down the hidden costs of building in-house and why more teams are turning to proven, off-the-shelf platforms like Edwin AI. - [LogicMonitor Appoints Garth Fort as Chief Product Officer to Accelerate AI Platform and Agentic AI Growth](https://www.logicmonitor.com/press/logicmonitor-appoints-garth-fort-as-chief-product-officer-to-accelerate-ai-platform-and-agentic-ai-growth): LogicMonitor’s new Chief Product Officer Garth Fort will drive AI-powered observability growth as the company exceeds $300M ARR. - [Inside the Wins: Real Stories of Transforming Azure Observability into Business Value](https://www.logicmonitor.com/blog/real-it-teams-real-azure-monitoring-success-with-lm-envision): See how real IT teams use LogicMonitor Envision to improve visibility, reduce costs, and deliver stronger service performance. - [Cutting Through the Noise: How Chemist Warehouse Reduced Alerts by 88% with Edwin AI](https://www.logicmonitor.com/blog/cutting-through-the-noise-chemist-warehouse-edwin-ai): Discover how Chemist Warehouse reduced alert noise by 88% and transformed global ITOps with Edwin AI and LogicMonitor’s unified observability platform. - [How Tecala Transformed Onboarding and Operational Efficiency in 90 Days with LogicMonitor](https://www.logicmonitor.com/resource/tecala-fast-tracks-managed-services-transformation-with-logicmonitor-in-90-days): How Tecala Transformed Onboarding and Operational Efficiency in 90 Days with LogicMonitor - [How Migros Consolidated 38,000 Devices Into One Unified Observability Platform with LogicMonitor](https://www.logicmonitor.com/resource/how-migros-consolidated-38000-devices-into-one-unified-observability-platform-with-logicmonitor): Licensing costs reduced, engineering resources freed, and downtime minimized across a nationwide network. - [AIOps Benefits: 5 Core Ways Agentic AI Transforms IT](https://www.logicmonitor.com/blog/agentic-aiops-benefits): Discover the benefits of agentic AIOps—from faster incident resolution to smarter scaling—and how AI agents transform modern IT operations. - [Nexon Scales Managed Services with Edwin AI—67% Fewer Incidents, 91% Less Noise](https://www.logicmonitor.com/resource/nexon-scales-managed-services-with-edwin-ai): Agentic AIOps drives scalable, efficient IT operations. Discover how MSP Nexon cut IT incidents by 67% and reduced alert noise by 91% using Edwin AI. - [Edwin AI ROI Calculator](https://www.logicmonitor.com/edwin-ai/roi-calculator): Calculate your ROI with Edwin AI. See how advanced AIOps monitoring cuts incident costs, reduces MTTR, and saves millions annually. Try our free calculator. - [Surprised By Your AWS ELB Bill? Here’s What Happened](https://www.logicmonitor.com/blog/aws-elb-cost-spike-lm-envision-cost-optimization): A recent AWS fix exposed a long-standing ELB billing bug, causing unexpected cost spikes. Here's how LogicMonitor customers caught it fast. - [How to Troubleshoot Faster with LM Logs](https://www.logicmonitor.com/blog/troubleshoot-faster-lm-logs): Traditional troubleshooting wastes time and buries answers under endless log data. See how LM Logs connects metrics and logs automatically,... - [Infosys and LogicMonitor Collaborate to Transform Business Performance and Reliability of IT Operations](https://www.logicmonitor.com/press/infosys-and-logicmonitor-team-up-to-revolutionize-aiops-and-observability): Infosys and LogicMonitor Team Up to Revolutionize AIOps and Observability. The global partnership now harnesses LogicMonitor's Edwin AI to drive AI-based digital transformation for Infosys's AIOps and Observability clients - [What is AIOps? A Clear, Practical Guide for 2025](https://www.logicmonitor.com/blog/what-is-aiops): Learn what AIOps is, how it works, and why it matters. A practical guide to smarter, faster, AI-driven IT operations. - [LogicMonitor Named a Major Player in the IDC MarketScape: European Observability Market 2025](https://www.logicmonitor.com/resource/major-player-idc-marketscape-european-observability-market): Recognized in the IDC MarketScape for European Observability, LogicMonitor is noted for AI-powered insights, hybrid visibility, and a user-friendly platform designed for today’s evolving IT environments. - [Der Leitfaden für MSP-Führungskräfte: Wachstum im Jahr 2025 durch Serviceerweiterung und -differenzierung](https://www.logicmonitor.com/de/der-leitfaden-fuer-msps): Wachsen Sie 2025 als MSP durch gezielte Serviceerweiterung, KI-gestützte Angebote und profitable Co-Managed-Modelle. Der Leitfaden bietet praxisnahe Strategien für mehr Effizienz, stärkere Kundenbindung und nachhaltige Rentabilität. - [Your Incident Response Plan is Obsolete, Unless It Includes Agentic AIOps](https://www.logicmonitor.com/blog/incident-response-with-agentic-aiops): Manual triage can’t keep up. Learn how agentic AIOps and Edwin AI are transforming IT incident response. - [The Azure Metrics That Actually Reduce Cloud Costs](https://www.logicmonitor.com/blog/azure-metrics-cloud-costs): Cloud costs add up fast. Learn which Azure metrics help you cut waste, optimize performance, and keep budgets on track. - [Track These Azure Metrics to Protect Uptime and Stop Threats Early](https://www.logicmonitor.com/blog/azure-metrics-security-availability): Security gaps and silent failures don’t wait. Track the Azure metrics that keep your cloud environment safe, resilient, and always available. - [Azure Performance Metrics for CloudOps Teams That Want More Than “Uptime”](https://www.logicmonitor.com/blog/azure-metrics-cloudops-performance): Cut through Azure’s noise with metrics that drive performance, reduce downtime, and keep your cloud operations running smoothly. - [4 Common Azure Monitoring Pitfalls and How to Fix Them](https://www.logicmonitor.com/blog/4-azure-monitoring-pitfalls): Azure monitoring fails when it doesn't evolve with your infrastructure. From static alerts to disconnected metrics, these four critical pitfalls undermine cloud reliability—and how advanced observability resolves them before they impact your services. - [Advanced Azure Monitoring: How to Correlate Performance, Cost, and Security Metrics](https://www.logicmonitor.com/blog/azure-metrics-correlate-performance-cost-security): Correlating Azure metrics reveals what siloed dashboards miss—uncover root causes, cut through noise, and drive smarter decisions. - [5 Big Challenges You’ll Face When Monitoring Azure at Scale](https://www.logicmonitor.com/blog/5-challenges-monitoring-azure-at-scale): Cloud complexity exposes the cracks in traditional Azure monitoring. Learn how service-aware observability helps teams cut through alert noise, control costs, and stay ahead of failures at scale. - [What’s the Difference between Azure Monitoring and Cloud Observability?](https://www.logicmonitor.com/blog/azure-monitoring-vs-cloud-observability): Struggling to make sense of your Azure monitoring data? This blog breaks down why observability is the missing link—and how it helps CloudOps teams stay ahead of issues in dynamic environments. - [How to Control and Optimize Azure Costs Without Losing Visibility](https://www.logicmonitor.com/blog/control-optimize-azure-costs): Azure cost tools fall short. See how LogicMonitor delivers real-time insights and smarter savings without sacrificing performance or visibility. - [How to Consolidate Your Azure & Multi-Cloud Monitoring and Avoid Tool Sprawl](https://www.logicmonitor.com/blog/consolidate-azure-multi-cloud-monitoring-tool-sprawl): Eliminate monitoring tool chaos in your multi-cloud environment. Find out how consolidating your monitoring approach can reduce alert fatigue, speed up troubleshooting, and lower costs across Azure and beyond. - [Why Metrics Alone Don’t Cut It: What You Really Need for Azure Monitoring and Troubleshooting](https://www.logicmonitor.com/blog/metrics-events-logs-traces-essential-azure-monitoring-troubleshooting): Metrics show symptoms. Events, logs, and traces reveal the cause. Discover why complete observability is essential for Azure monitoring and faster issue resolution. - [Solving Azure Monitoring Limitations with LogicMonitor Envision](https://www.logicmonitor.com/blog/solving-azure-monitoring-limitations): Tired of alert overload and missed issues? See how LogicMonitor Envision solves Azure Monitor’s gaps with smarter visibility, cost control, and automation. - [8 Best Practices for Monitoring Azure Environments in LogicMonitor Envision](https://www.logicmonitor.com/blog/best-practices-azure-environments-lm-envision): Make Azure monitoring work smarter. Follow 8 proven best practices to improve visibility, reduce alert noise, cut costs, and stay... - [Smarter Azure Monitoring in 2025](https://www.logicmonitor.com/blog/monitoring-azure-guide): Most Azure monitoring tools miss the bigger picture. Learn how to move from siloed metrics to full-service observability with a modern, scalable approach to performance, cost, and security. - [AI Workload Observability: Hybrid visibility for scaling Enterprise AI](https://www.logicmonitor.com/resource/ai-workload-observability-hybrid-visibility-for-scaling-enterprise-ai): Learn how LogicMonitor delivers unified observability for AI workloads across hybrid environments. - [On-Demand Webinar: Cutting Through the Noise: A Retailer’s AI Journey to 88% Fewer Alerts](https://www.logicmonitor.com/resource/cutting-through-the-noise-a-retailers-ai-journey-to-88-fewer-alerts): Discover how Chemist Warehouse cut IT alert noise by 88% with AI-powered observability. Join their live webinar on May 1 to learn how they streamlined operations across 600+ stores using proactive monitoring and automation. - [On-Demand Webinar: Mission AI Possible: The Sequel - Less Noise, More Insight: AIOps in Action](https://www.logicmonitor.com/resources/mission-ai-possible-the-sequel): Your second mission–should you choose to accept it–is to see AI-driven observability live in action. You will watch how your very own AI agent goes to work cutting through alert noise, pinpointing root causes, making proactive recommendations, and beginning to take action on those recommendations–with your authorization, of course. - [One View, Smarter ITOps: The LogicMonitor + ServiceNow Integration](https://www.logicmonitor.com/blog/logicmonitor-servicenow-agentic-ai-ops-integration): LogicMonitor and ServiceNow work together to deliver a unified, AI-powered ITOps experience—linking observability with AI workflows for better operations. - [Edwin AI Demo Experience](https://www.logicmonitor.com/demo/edwin-ai-demo-experience): Less noise. Faster answers. Fewer fire drills.In about 4 minutes, you’ll see how Edwin pinpoints the problem and shows you exactly what to do next. - [How to Handle Sensitive Data in Your Logs Without Compromising Observability](https://www.logicmonitor.com/blog/how-to-handle-sensitive-data-lm-logs): A practical look at how to manage sensitive data like PII and PHI in LM Logs, with clear best practices for log sanitization, access control, and retention. - [Agentic AIOps: Why Agent-Driven Solutions Are Defining the Future of IT Operations](https://www.logicmonitor.com/blog/agent-driven-aiops-is-defining-future-of-it-operations): Agentic AIOps is redefining IT operations. Discover why modular, agent-driven architectures like Edwin AI are the future of ITOps. - [How to Create SNMP DataSources that Reduce Alert Noise](https://www.logicmonitor.com/blog/5-tips-for-creating-snmp-datasources-in-logicmonitor): Learn how to build custom LogicMonitor SNMP DataSources that cut alert fatigue, surface real issues, and give you clean, reliable visibility into your infrastructure. - [Dynamic Topology Explained: Real-Time Mapping for IT Environments](https://www.logicmonitor.com/blog/an-introduction-to-dynamic-topology-with-logicmonitor): LogicMonitor is proud to announce the addition of dynamic topology mapping to its core monitoring platform. Check out our latest blog post to learn more! - [3 Ways Ops Teams Benefit From LM Logs](https://www.logicmonitor.com/blog/3-ways-ops-teams-benefit-from-lm-logs): Understand the benefits that the LogicMonitor technical operations team has experienced with LM Logs and how it can directly apply to the log challenges facing today's greater ITOps and DevOps teams. - [ALB vs ELB: Which AWS Load Balancer Should You Use and Why?](https://www.logicmonitor.com/blog/alb-vs-elb): Learn about load balancers, as well as the key similarities and differences between ALB and ELB. - [Log Management Without Queries: How LM Logs Simplifies Troubleshooting](https://www.logicmonitor.com/blog/no-query-no-problem-how-lm-logs-is-built-for-everyone): How can your team effectively manage your log tool if you don’t know how to search and find the right data to analyze? Find out! - [Incident Management vs Event management](https://www.logicmonitor.com/blog/incident-management-vs-event-management): Recognizing the difference between incident management and event management ensures that your team can resolve issues faster. Learn more! - [Simplify Cisco Network Management: Top Solutions for Cloud and On-Premises](https://www.logicmonitor.com/blog/a-guide-to-on-premises-and-cloud-based-cisco-networks): Explore Cisco network management solutions for cloud and on-premises setups. Learn which Cisco tools simplify your IT tasks and help managing your infrastructure. - [Logic Success Stories: How LM Logs Cut MTTR and Boosted IT Clarity in 2024](https://www.logicmonitor.com/blog/ingesting-and-analyzing-2022-an-lm-logs-success-story): LogicMonitor reflects on several product innovations and accomplishments within LM Logs in 2022, along with how these helped customers. - [Track What Matters: Use LM Logs Query Tracking to Surface Hidden Trends](https://www.logicmonitor.com/blog/lm-logs-query-tracking-find-whats-relevant-now-to-prepare-for-tomorrow): Sift through log data to identify hidden trends and stay ahead of issues. Find out more about the power of Query Tracking from LM Logs. - [Ping Website Monitoring: Why Web Checks and Ping Checks Matter For Uptime](https://www.logicmonitor.com/blog/what-are-web-checks-and-ping-checks-why-are-they-important): Network monitoring via web checks and ping checks could improve website uptime and make everyone’s lives a little easier. Learn how! - [Observability benefits of Cisco Catalyst Center integration](https://www.logicmonitor.com/blog/observability-benefits-of-cisco-catalyst-center-integration): LogicMonitor's agentless collection has long provided customers with many benefits for collecting telemetry data directly from network devices. Recently, LogicMonitor added another feature, enabling the discovery of devices/sites and the collection of telemetry data from the Cisco Catalyst Center. Retaining options is essential due to the pros and cons associated with each approach. - [LogicMonitor Strengthens AI-Powered Observability Leadership with Agentic AIOps Innovations and Strategic Partnerships](https://www.logicmonitor.com/press/logicmonitor-strengthens-ai-powered-observability-leadership-with-agentic-aiops-innovations-and-strategic-partnerships): At Elevate Community Conference 2025, LogicMonitor Shares Recent Innovations in Agentic AIOps, Celebrates New Partnerships, and Highlights Industry Accolades that Cement Its Leadership in AI-Powered Observability - [LogicMonitor Named to Inc.’s 2025 List of the Fastest-Growing Private Companies in the Pacific](https://www.logicmonitor.com/press/logicmonitor-named-to-inc-s-2025-list-of-the-fastest-growing-private-companies-in-the-pacific): Companies on the Inc. Regionals: Pacific list had a median growth rate of 124 percent. - [Quarkus vs. Spring Boot](https://www.logicmonitor.com/blog/quarkus-vs-spring): Both Quarkus and Spring are big contenders as microservice application development tools, but which should you pick? See the key differences! - [What is Garbage Collection in Java?](https://www.logicmonitor.com/blog/garbage-collection-in-java): Garbage collection is the process of reclaiming unused run-time memory automatically. This means developers can create new objects without worrying about memory allocation and deallocation since unused objects are destroyed automatically. Learn more! - [How One Enterprise Reduced 1,600 Trap Alerts by 80% and Saved 26 Hours During Migration](https://www.logicmonitor.com/blog/one-enterprise-reduced-trap-alerts-saved-hours-during-migration): Too many trap alerts and not enough time? See how one enterprise cleaned up 1,600 noisy rules, saved 26 hours, and made their move to LogicMonitor way smoother. - [Advancing Patient Care with Resilient IT: A Healthcare Leader's Guide](https://www.logicmonitor.com/resource/healthcare-it-guide-leaders): Healthcare IT leaders face rising pressure to prevent downtime, protect patient care, and modernize complex systems. This guide breaks down how hybrid observability helps build more resilient, efficient, and trusted healthcare environments. - [What is an AI Agent? A Plain-English Guide We Wrote for Ourselves (and You).](https://www.logicmonitor.com/blog/what-is-an-ai-agent): AI agents help your teams move faster and work smarter, but only if you know what you're dealing with. Here's our guide to what they are and how they work. - [The Data-Driven Case for AIOps in 2025: EMA Insights for IT Leaders](https://www.logicmonitor.com/resource/the-data-driven-case-for-aiops-2025): If your ITOps aren’t using AI, you’re behind. Get data-driven insights from EMA on how AIOps optimizes costs, prevents downtime, and transforms IT. Download the infographic now. - [Mission: AI Possible—What Agentic AI Means for the Future of ITOps](https://www.logicmonitor.com/blog/decoding-agentic-ai-for-itops-excellence-with-openai-and-devoteam): Discover how agentic AI is transforming IT operations. Learn from OpenAI, LogicMonitor, and Devoteam executive briefing recap. - [How to Build an Agentic AIOps Business Case for Maximum ROI](https://www.logicmonitor.com/blog/roi-of-agentic-aiops): The best AIOps business case ties AI investments to measurable ROI. Here’s how to get ROI with AI. - [The Modern MSP Blueprint: Evaluating Your Business Evolution Readiness](https://www.logicmonitor.com/resource/msp-assessment): Transform your MSP from service provider to strategic powerhouse. This 5-dimension assessment pinpoints exactly where you're leaving money on the table and what to fix first. - [LogicMonitor Achieves FedRAMP® "In Process" Designation, Strengthening Commitment to Government Security and Compliance](https://www.logicmonitor.com/press/logicmonitor-achieves-fedramp-in-process-designation-strengthening-commitment-to-government-security-and-compliance): LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced that its Envision platform has achieved "In Process"... - [LogicMonitor Achieves FedRAMP “In Process” Status: AI-powered Hybrid Observability for Government Agencies](https://www.logicmonitor.com/blog/fedramp-in-process-designation): LogicMonitor achieves FedRAMP “In Process” status, bringing AI-powered hybrid observability to government agencies. Strengthen security, streamline compliance, and modernize IT with confidence. - [Container Monitoring](https://www.logicmonitor.com/resource/container-monitoring): Access a detailed PDF resource on container monitoring with LogicMonitor, covering metric collection, orchestration insights, alerting strategies, and performance optimization for hybrid Kubernetes environments. - [Agentic AIOps Use Cases: How AIOps Protects Your Revenue and Reduces Risk](https://www.logicmonitor.com/blog/agentic-aiops-use-cases): Explore agentic AIOps use cases to improve your IT operations and learn how agentic AI will protect revenue, reduce downtime, and mitigate risk. - [A Smarter Approach to AIOps Starts with this Checklist](https://www.logicmonitor.com/resource/agentic-aiops-strategy-checklist): Avoid common AIOps pitfalls with this must-have checklist from LogicMonitor. Discover how to plan smarter, align the right tools with your goals, and build a dependable, AI-powered IT operations strategy that delivers real results. - [LogicMonitor Earns 5-Star Rating in the 2025 CRN® Partner Program Guide](https://www.logicmonitor.com/awards/logicmonitor-earns-5-star-rating-in-the-2025-crn-partner-program-guide): LogicMonitor earns a 5-Star rating in the 2025 CRN® Partner Program Guide, highlighting its industry-leading support, resources, and commitment to partner success. Explore how LogicMonitor’s AI-powered platform is transforming data centers and driving growth for solution providers. - [Why IT Teams Are Switching from SolarWinds to LogicMonitor](https://www.logicmonitor.com/blog/why-it-teams-are-switching-from-solarwinds-to-logicmonitor): Worried about the SolarWinds acquisition? Learn why IT teams are switching to LogicMonitor for secure, scalable, and AI-powered monitoring. - [On-demand webinar: Level Up Your IT Universe: LogicMonitor’s Latest Innovations in AI-Powered Observability](https://www.logicmonitor.com/resources/level-up-your-it-universe-logicmonitors-latest-innovations-in-ai-powered-observability): Level up your IT superpowers with LogicMonitor’s latest AI-driven innovations to conquer complexity, slash downtime, and restore order to your... - [LogicMonitor Doubles Down on Data Center Transformation with New AI Enhancements](https://www.logicmonitor.com/press/logicmonitor-doubles-down-on-data-center-transformation-with-new-ai-enhancements): LogicMonitor unveils powerful AI enhancements to transform modern data centers, delivering smarter workload management, faster insights, and autonomous IT operations. Discover how AI-driven observability optimizes performance, reduces downtime, and enhances efficiency for IT teams managing complex hybrid environments. Learn more about the latest innovations in AI-powered ITOps. - [Modernizing Data Centers for AI: Bridging Observability, Cost Control, and Intelligent Automation](https://www.logicmonitor.com/blog/modernizing-data-centers-ai-observability-cost-automation): Our latest innovations for monitoring AI infrastructure while balancing performance and costs. - [Stratégies de croissance 2025: expansion et différenciation des services pour dirigeants MSP](https://www.logicmonitor.com/fr/strategies-de-croissance-2025-expansion-et-differenciation-des-services-pour-dirigeants-msp): Découvrez comment développer votre croissance grâce à l'expansion des services, l'optimisation technologique et la différenciation concurrentielle dans un marché en... - [LogicMonitor Named a Top Network Traffic Monitoring Solution in Expert Insights’ Best-Of Awards](https://www.logicmonitor.com/awards/logicmonitor-named-a-top-network-traffic-monitoring-solution-in-expert-insights-best-of-awards): LogicMonitor, a leading SaaS-based platform for AI-powered data center transformation, announced today that it has been officially recognized as a Top Network Traffic Monitoring Solution in Expert Insights’ Best-Of Awards - [LogicMonitor Signs Strategic Collaboration Agreement with AWS to Simplify VMware Migrations and Modernize Data Centers](https://www.logicmonitor.com/press/logicmonitor-signs-strategic-collaboration-agreement-with-aws-to-simplify-vmware-migrations-and-modernize-data-centers): Discover how LogicMonitor and AWS are transforming VMware migrations with AI-driven observability. This partnership streamlines cloud adoption, enhances performance, and reduces costs for enterprises navigating hybrid IT environments. Learn how to modernize your data center effortlessly. - [Hybrid Observability for AI Workloads](https://www.logicmonitor.com/resource/hybrid-observability-for-ai-workloads): Discover how LogicMonitor delivers deep observability for GenAI workloads, ensuring optimal performance, cost efficiency, and proactive management across hybrid environments. Download the solution brief to optimize your AI infrastructure. - [Edwin AI Kicks Off a New Era of ITOps, Powered by LogicMonitor and OpenAI](https://www.logicmonitor.com/blog/logicmonitor-edwin-ai-open-ai-collaboration): LogicMonitor and OpenAI have joined forces to power Edwin AI, bringing advanced reasoning and deep observability together. Discover what this means for IT teams. - [Beyond Monitoring: Takeaways for IT Leaders on Enterprise Observability](https://www.logicmonitor.com/resource/hybrid-observability-digital-resilience-transformation-key-takeaways): Learn how top CIOs reduce downtime, drive innovation, and stay ahead. - [How to Analyze Logs Using AI](https://www.logicmonitor.com/blog/how-to-analyze-logs-using-artificial-intelligence): Learn how AI-powered log analysis detects anomalies, cuts through noise, and transforms log management from reactive to proactive. - [Building an Agentic AIOps Strategy? Don’t Start Without this Checklist.](https://www.logicmonitor.com/blog/agentic-aiops-strategy): Building an agentic AIOps strategy? Start with a clear, outcome-driven plan—this guide will help you turn AIOps into a scalable, business-aligned success. - [LogicMonitor Expands Global Footprint to Latin America with Opening of Mexico City Office](https://www.logicmonitor.com/blog/expand-global-footprint-latin-america-mexico-city): LogicMonitor expands its global footprint to Latin America with the opening of their Mexico City office location, bringing AI-powered hybrid observability to leading brands across LATAM. - [Keeping the lights on for affordable housing: how NEH upgraded their tech and boosted security](https://www.logicmonitor.com/resource/keeping-the-lights-on-for-affordable-housing-how-neh-upgraded-their-tech-and-boosted-security): Learn how NEH revolutionized IT services for Dutch housing cooperatives with LogicMonitor. Discover how they enhanced security, ensured compliance with EU regulations, and optimized operations to support affordable housing across the Netherlands. - [How Edwin AI Solves ITOps Biggest Challenges with Agentic AI](https://www.logicmonitor.com/blog/how-edwin-ai-is-solving-itops-biggest-challenges): Edwin AI redefines ITOps with agentic AIOps, cutting through alert noise to pinpoint root causes, automate resolutions, and deliver real results where traditional AIOps falls short. Keep reading. - [The challenges of agent-based monitoring for cloud virtual machines and how to overcome them](https://www.logicmonitor.com/blog/challenges-agent-based-monitoring-cloud-virtual-machines): Explore the challenges of agent-based monitoring for virtual machines, including deployment complexities and scalability issues, and discover how agentless solutions simplify monitoring in dynamic IT environments. - [Agentless monitoring for cloud VMs: Simplify scaling and observability](https://www.logicmonitor.com/blog/agentless-monitoring-cloud-vms): Simplify cloud VM monitoring with agentless observability. Learn how automated resource discovery and detailed insights make agentless monitoring the best choice - [Transforming Data Center Operations in the AI Era](https://www.logicmonitor.com/resource/transform-data-center-operations-ai-era): Data centers power everything from restaurant orders to hotel check-ins, making outages devastatingly expensive. LogicMonitor CEO Christina Kosmowski reveals how to prevent outages while supporting new AI initiatives. - [Beyond Monitoring: An IT Leader's Guide to Enterprise Observability](https://www.logicmonitor.com/resource/beyond-monitoring-it-leaders-guide-enterprise-observability): Discover how hybrid observability powered by AI enhances digital resilience and transformation, addresses IT monitoring challenges, and drives innovation for IT leaders navigating complex environments. - [AIOps has Evolved: How Agentic AIOps Transforms IT from Reactive to Predictive](https://www.logicmonitor.com/resource/agentic-aiops-transforming-it): Discover how agentic AIOps leverages AI, automation, and real-time insights to transform IT operations from reactive to predictive. Download our white paper now. - [LogicMonitor Earns Spot on the CRN Data Center 50 List for 2025](https://www.logicmonitor.com/awards/logicmonitor-earns-spot-on-the-crn-data-center-50-list-for-2025): LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, announced today that it has been named to the 2025 Data Center 50 list by CRN®, a brand of The Channel Company. - [LogicMonitor Wins 2025 Tech Innovation CUBEd Awards by SiliconANGLE Media](https://www.logicmonitor.com/awards/logicmonitor-wins-2025-tech-innovation-cubed-awards-by-siliconangle-media): CEO Christina Kosmowski recognized in the Innovative Women in Tech Leadership category - [Agentic AIOps and Observability are the Keys to IT Resilience](https://www.logicmonitor.com/blog/agentic-aiops-and-observability): AIOps and observability work better together—turning data into clear insights, automating fixes, and keeping IT systems running smoothly with less... - [How SNMP monitoring works](https://www.logicmonitor.com/blog/how-snmp-monitoring-works): Learn how SNMP monitoring works, including key components like MIBs, OIDs, polling, and traps. Also discover best practices for optimizing SNMP for network performance - [What is Agentic AIOps, and Why is it Crucial for Modern IT?](https://www.logicmonitor.com/blog/what-is-agentic-aiops-and-why-is-it-crucial-for-modern-it): Learn how agentic AIOps minimizes downtime, automates issue resolution, and transforms IT operations—empowering your team to innovate instead of firefight. --- # # Detailed Content ## Pages > Überwachen Sie die Performance Ihrer gesamten Netzwerkinfrastruktur in einer Plattform. Reduzieren Sie Störungen im Netzwerk durch erhöhte Transparenz und nutzen Sie Netzwerkprotokolle sowie Metriken zur schnelleren Fehlerbehebung bei sämtlichen Netzwerk- und IT-Geräten. - Published: 2025-03-24 - Modified: 2025-06-09 - URL: https://www.logicmonitor.com/de/netzwerkuberwachung - Tags: solution { "@context": "https://schema. org", "@type": "FAQPage", "mainEntity": } --- > LogicMonitor's Log Intelligence Platform powered by LM Logs automatically analyze 100% of your log data to uncover root causes for your alerts and surface previously unknown issues predictively. - Published: 2025-03-13 - Modified: 2025-05-12 - URL: https://www.logicmonitor.com/logs LogicMonitor's Log Analysis Platform powered by LM Logs automatically analyze 100% of your log data to uncover root causes for your alerts and surface previously unknown issues predictively. . learnmore { border-bottom: 2px solid #1a31ff; padding-bottom: 2px; font-weight: 400; font-family: "Sharp Grotesk" ,sans-serif; } . learnmore:hover { text-decoration: none; font-weight: 500; } --- > Discover why LogicMonitor is the #1 modern alternative to Paessler PRTG network and infrastructure monitoring. - Published: 2025-03-13 - Modified: 2025-04-01 - URL: https://www.logicmonitor.com/logicmonitor-vs-prtg Discover why LogicMonitor is the #1 modern alternative to Paessler PRTG network and infrastructure monitoring. DISCLAIMER: Feature comparison is based on each vendor’s most recent version available as of March 2025. Information is based on data collected from public websites and forums, third party validated customer reviews, analyst papers, and product datasheets. --- > Looking for faster, smarter monitoring? LogicMonitor is the AI-driven observability platform that replaces manual processes, limited automation, and complex setups with seamless, automated, and cloud-ready monitoring. - Published: 2025-03-06 - Modified: 2025-05-12 - URL: https://www.logicmonitor.com/logicmonitor-vs-centreon Looking for faster, smarter monitoring? LogicMonitor is the AI-driven observability platform that replaces manual processes, limited automation, and complex setups with seamless, automated, and cloud-ready monitoring. DISCLAIMER: Feature comparison is based on each vendor’s most recent version available as of March 2025. Information is based on data collected from public websites and forums, third party validated customer reviews, analyst papers, and product datasheets. --- > Discover why 80%+ of our customers have come from SolarWinds due to a lack of single-pane-of-glass visibility, alert fatigue, missing context in alerts, and problems with monitoring their growing presence in the cloud. - Published: 2025-02-13 - Modified: 2025-05-12 - URL: https://www.logicmonitor.com/logicmonitor-vs-solarwinds Find out why LogicMonitor blows SolarWinds customers away! On average, customers who have switched to LogicMonitor have saved each employee who uses monitoring 4-6 hours per week! Join the happy customers who have switched from SolarWinds to LogicMonitor’s AI-powered hybrid observability platform. DISCLAIMER: Feature comparison is based on each vendor’s most recent version available as of March 2025. Information is based on data collected from public websites and forums, third party validated customer reviews, analyst papers, and product datasheets. --- > Compare LogicMonitor vs. Datadog: Discover which platform delivers better scalability, full-stack visibility, AI-driven insights, and transparent pricing for hybrid IT. - Published: 2025-01-30 - Modified: 2025-05-12 - URL: https://www.logicmonitor.com/logicmonitor-vs-datadog Compare LogicMonitor vs. Datadog: Discover which platform delivers better scalability, full-stack visibility, AI-driven insights, and transparent pricing for hybrid IT. DISCLAIMER: Feature comparison is based on each vendor’s most recent version available as of March 2025. Information is based on data collected from public websites and forums, third party validated customer reviews, analyst papers, and product datasheets. --- > Ensure uninterrupted performance with LogicMonitor's uptime monitoring. Get real-time insights, proactive alerts, and comprehensive coverage for your IT systems. - Published: 2025-01-29 - Modified: 2025-01-31 - URL: https://www.logicmonitor.com/uptime-monitoring Ensure uninterrupted performance with LogicMonitor's uptime monitoring. Get real-time insights, proactive alerts, and comprehensive coverage for your IT systems. . lm-trusted-by-logo-stripe, . single-cta-bar { background-color: white ! important; } . tri-column-content-with-icons-and-title-blog { padding-bottom: 65px ! important; } --- - Published: 2025-01-27 - Modified: 2025-01-31 - URL: https://www.logicmonitor.com/network-topology-mapper Visualize and optimize your network with LogicMonitor’s Network Topology Mapper. Generate dynamic maps, troubleshoot faster, and enhance collaboration effortlessly. . lm-trusted-by-logo-stripe, . single-cta-bar { background-color: white ! important; } . tri-column-content-with-icons-and-title-blog { padding-bottom: 65px ! important; } --- - Published: 2025-01-07 - Modified: 2025-01-07 - URL: https://www.logicmonitor.com/cost-optimization-demo Loading demo... --- - Published: 2024-11-12 - Modified: 2024-11-12 - URL: https://www.logicmonitor.com/azure-demo Loading demo... --- - Published: 2024-10-10 - Modified: 2025-05-15 - URL: https://www.logicmonitor.com/hi/network-monitoring { "@context": "https://schema. org", "@type": "FAQPage", "mainEntity": } --- > Obtenga visibilidad sobre el estado y el rendimiento de todo su equipo de red y demás infraestructura de TI en una única plataforma de monitoreo unificada. - Published: 2024-10-04 - Modified: 2025-05-15 - URL: https://www.logicmonitor.com/es-es/monitorizacion-de-red { "@context": "https://schema. org", "@type": "FAQPage", "mainEntity": } --- > Obtenga visibilidad sobre el estado y el rendimiento de todo su equipo de red y demás infraestructura de TI en una única plataforma de monitoreo unificada. - Published: 2024-10-04 - Modified: 2025-05-15 - URL: https://www.logicmonitor.com/es/monitoreo-de-red { "@context": "https://schema. org", "@type": "FAQPage", "mainEntity": } --- - Published: 2024-05-01 - Modified: 2024-05-07 - URL: https://www.logicmonitor.com/cookie-notice - Tags: Legal and Policies // Set to the same value as the web property used on the site var gaProperty = 'UA-5684469-1'; // Disable tracking if the opt-out cookie exists. var disableStr = 'ga-disable-' + gaProperty; if (document. cookie. indexOf(disableStr + '=true') > -1) { window = true; } // Opt-out function function gaOptout { document. cookie = disableStr + '=true; expires=Thu, 31 Dec 2099 23:59:59 UTC; path=/'; window = true; } --- > Your business relies on SaaS solutions to communicate and stay productive every day. Using LogicMonitor, gain full visibility across all the tools you need to keep your business humming. - Published: 2023-06-30 - Modified: 2025-04-15 - URL: https://www.logicmonitor.com/saas-monitoring Your business relies on SaaS solutions to communicate and stay productive every day. Using LogicMonitor, gain full visibility across all the tools you need to keep your business humming. { "@context": "https://schema. org", "@type": "FAQPage", "mainEntity": (https://www. logicmonitor. com/support). " } } ] } --- > LogicMonitor’s Candidate Resources Page is a dedicated space for you to gain insight into our interviewing process. - Published: 2023-05-24 - Modified: 2024-08-02 - URL: https://www.logicmonitor.com/candidate-resources LogicMonitor’s Candidate Resources Page is a dedicated space for you to gain insight into our interviewing process. Learn about LogicMonitor Interviewing @LM We differentiate our recruiting process by adding a HUMAN touch. We take pride in the candidate experience we deliver, so here’s what you should expect throughout the interview process: Interviewing tips --- > Achieving unified observability in the age of digital transformation and technological convergence - Published: 2023-01-27 - Modified: 2023-11-16 - URL: https://www.logicmonitor.com/resource/it-observability-research-report - Categories: Research and Reports, Resources - Tags: observability, reports, research Achieving unified observability in the age of digital transformation and technological convergence METHODOLOGY: LogicMonitor commissioned an independent research firm to survey 600 global professionals from North America, EMEA, and APAC to uncover how, in an era marked by IT modernization initiatives and technological convergence, IT operations teams work together to reduce downtime and drive business performance. --- > Start your professional career on the right foot with LogicMonitor's internships and entry level programs. - Published: 2022-01-11 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/early-careers Start your professional career on the right foot with LogicMonitor's internships and entry level programs. View this profile on Instagram LogicMonitor (@logicmonitor) • Instagram photos and videos North America Austin LogicMonitor 98 San Jacinto Blvd Suite 1300 Austin, TX 78701 USA Mexico City LogicMonitor Paseo De La Reforma 250 Piso 8 Torre A Col Juarez, Del Cuauhtemoc 06600, suite 809 Mexico Asia Singapore WeWork c/o LogicMonitor 9 Battery Rd Office 10-121 Singapore 049910 6817 7097 Pune LogicMonitor, India The Pavilion, IT Tower 4th Floor, SB Road next to J W Marriott Laxmi Society, Model Colony Shivaji Nagar, Pune - 411016 Europe London LogicMonitor Chadwick Court 15 Hatfields London, UK SE1 8DJ United Kingdom +44 (0) 20 3314 7957 Australia Sydney WeWork c/o LogicMonitor 161 Castlereagh Street Office 27-110 Sydney NSW 2000 Australia +61 283 206 751 Find us on these platforms --- > Contextually bring together traces, logs and metrics with LogicMonitor's powerful Application Performance Monitoring platform. - Published: 2021-06-24 - Modified: 2025-04-15 - URL: https://www.logicmonitor.com/application-performance-monitoring Intelligent insights for modern applications – contextually bring together traces, logs and metrics with LogicMonitor's Application Performance Monitoring. { "@context": "https://schema. org", "@type": "FAQPage", "mainEntity": } --- > LogicMonitor provides global enterprises a path to observability in today’s complex and distributed infrastructure landscape. See how! - Published: 2021-04-09 - Modified: 2025-05-12 - URL: https://www.logicmonitor.com/enterprise LogicMonitor provides global enterprises a path to observability in today’s complex and distributed infrastructure landscape. See how! (function(a,b,c,d){window. fetch("https://www. g2. com/products/logicmonitor/rating_schema. json"). then(e=>e. json). then(f=>{c=a. createElement(b);c. type="application/ld+json";c. text=JSON. stringify(f);d=a. getElementsByTagName(b);d. parentNode. insertBefore(c,d);});})(document,"script"); --- > LogicMonitor provides agentless monitoring of a variety of database metrics to operationalize multi-team visibility into infrastructure-level database issues. Experience a single pane of glass view to present database metrics side by side with infrastructure and other items in your technology stack. - Published: 2021-03-08 - Modified: 2025-04-15 - URL: https://www.logicmonitor.com/database-monitoring LogicMonitor provides agentless monitoring of a variety of database metrics to operationalize multi-team visibility into infrastructure-level database issues. Experience a single pane of glass view to present database metrics side by side with infrastructure and other items in your technology stack. { "@context": "https://schema. org", "@type": "FAQPage", "mainEntity": } --- - Published: 2021-02-02 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/diversity-and-culture LM supports LMers as we collectively pursue healing, improvement, hope, and ultimately push towards a society where there is justice for all and individuals can equally enjoy life, liberty, and the pursuit of happiness without that pursuit being tainted, derailed, or thwarted due to the color of one’s skin, one’s race, sex, gender identity, sexual orientation, religion, or other personal factors or beliefs. NORTH AMERICA Austin LogicMonitor 98 San Jacinto Blvd Suite 1300 Austin, TX 78701 USA Mexico City LogicMonitor Paseo De La Reforma 250 Piso 8 Torre A Col Juarez, Del Cuauhtemoc 06600, suite 809 Mexico Asia Singapore WeWork c/o LogicMonitor 9 Battery Rd Office 10-121 Singapore 049910 6817 7097 Pune LogicMonitor, India The Pavilion, IT Tower 4th Floor, SB Road next to J W Marriott Laxmi Society, Model Colony Shivaji Nagar, Pune - 411016 Europe London LogicMonitor Chadwick Court 15 Hatfields London, UK SE1 8DJ United Kingdom +44 (0) 20 3314 7957 Australia Sydney WeWork c/o LogicMonitor 161 Castlereagh Street Office 27-110 Sydney NSW 2000 Australia +61 283 206 751 --- > LogicMonitor is offering a scholarship for women pursuing careers in STEM for the 2023 school year, starting in the Fall 2023 semester. Apply now! - Published: 2020-10-29 - Modified: 2024-07-11 - URL: https://www.logicmonitor.com/scholarship LogicMonitor seeks to increase the percentage of women in the STEM workforce, and is announcing a scholarship for Women pursuing careers in STEM. Three recipients will be awarded a $6000 scholarship for the 2023 school year, starting in the Fall 2023 semester. Terms & Conditions --- > Gain full-stack observability across cloud, on-premises, and hybrid environments with LogicMonitor's cloud-based infrastructure monitoring. - Published: 2020-10-09 - Modified: 2025-04-15 - URL: https://www.logicmonitor.com/infrastructure-monitoring Gain full-stack observability across cloud, on-premises, and hybrid environments with LogicMonitor's cloud-based infrastructure monitoring. { "@context": "https://schema. org", "@type": "FAQPage", "mainEntity": } --- > Automatically detect changes, manage, and alert on configuration files for any device. Improve IT efficiency and reduce MTTR with configuration monitoring. - Published: 2020-01-27 - Modified: 2025-04-15 - URL: https://www.logicmonitor.com/configuration-monitoring Automatically detect changes, manage, and alert on configuration files for any device. Improve IT efficiency and reduce MTTR with configuration monitoring. { "@context": "https://schema. org", "@type": "FAQPage", "mainEntity": } --- > Join a team of engaging, motivated, intelligent, and energized trouble-shooters who work hard, play hard, and are committed to making an impact. - Published: 2015-05-13 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/careers Join a team of engaging, motivated, intelligent, and energized trouble-shooters who work hard, play hard, and are committed to making an impact. var element = document. getElementById("left-side-links"); element. classList. remove("col-lg-6"); element. classList. add("col-lg-3"); var elements = document. getElementById("#lm-vertical-link-list-with-images-block_a1d7fa69578a36967e8f6e1c811996f0__tabs"); elements. classList. remove("col-lg-6"); elements. classList. add("col-lg-9"); Our locations We have office locations around the globe. North America Austin LogicMonitor 98 San Jacinto Blvd Suite 1300 Austin, TX 78701 USA Mexico City LogicMonitor Paseo De La Reforma 250 Piso 8 Torre A Col Juarez, Del Cuauhtemoc 06600, suite 809 Mexico Asia Singapore WeWork c/o LogicMonitor 9 Battery Rd Office 10-121 Singapore 049910 6817 7097 Pune LogicMonitor, India The Pavilion, IT Tower 4th Floor, SB Road next to J W Marriott Laxmi Society, Model Colony Shivaji Nagar, Pune - 411016 Europe London LogicMonitor Chadwick Court 15 Hatfields London, UK SE1 8DJ United Kingdom +44 (0) 20 3314 7957 Australia Sydney WeWork c/o LogicMonitor 161 Castlereagh Street Office 27-110 Sydney NSW 2000 Australia +61 283 206 751 Find us on these platforms --- > As a company founded by data center operations experts, LogicMonitor has a strong commitment to the security standards of its applications operations and back office systems. - Published: 2015-04-09 - Modified: 2025-03-13 - URL: https://www.logicmonitor.com/security As a company founded by data center operations experts, LogicMonitor has a strong commitment to the security standards of its applications operations and back office systems. Security Whitepaper Download a deep-dive into our security controls. SOC3 Audit Report Review an independent, third-party security audit. The LogicMonitor platform is certified to: ISO/IEC 27001:2013 ISO/IEC 27017:2015 ISO/IEC 27018:2019 SOC2 Type 2 standards Trusted by the best, who need the best. --- --- --- ## Posts > LogicMonitor's Badge & Certification Program delivers engaging & flexible learning focused on real-world observability skills through LM Envision. - Published: 2025-06-30 - Modified: 2025-06-30 - URL: https://www.logicmonitor.com/blog/new-badge-certification-program - Categories: Blog, News and Development As IT professionals, your expertise keeps the digital world spinning. But even the best in the business know there's always room to sharpen skills and broaden expertise. That's why we're thrilled to introduce LogicMonitor's revamped Badge & Certification Program—an immersive, skills-based learning experience built to help IT teams deepen their expertise, master LM Envision, and drive measurable impact in real-world environments. Real Skills, Real Impact Gone are the days of one-size-fits-all certifications. Our new program breaks learning into bite-sized, practical experiences through LogicMonitor Badges, with each badge tailored to a specific capability with the LM Envision platform. Available now are the: Getting Started Badge: Ideal for newcomers, this badge ensures mastery of foundational concepts like monitoring basics, LM Envision fundamentals, and role-based workflows. It’s your perfect gateway into LM Envision. Collectors Badge: Build hands-on expertise in Collector operations, from deployment and management to ensuring resilience and scalability. Walk away confident in your Collector configurations. Logs Badge: Dive deep into LM Logs to learn advanced querying techniques, troubleshoot proactively, and leverage logs for alerting and operational excellence What's Coming Next With the launch of this updated program, our previous LogicMonitor Certified Associate (LMCA) Certification and LM Product Foundations training have officially sunsetted, making way for this more flexible and targeted learning experience. We’re continuing to roll out additional badges and full certifications throughout the second half of the year. Stay tuned for: AIOps Adoption Badge Dashboards Badge Alerts Badge Service Insights Badge Resource Management Badge Cloud Badge LogicModules Badge Monitoring Certification... --- > LogicMonitor’s new Frankfurt data center enhances local compliance, reduces latency, and supports growing hybrid IT needs across the DACH region and Europe. - Published: 2025-06-27 - Modified: 2025-06-27 - URL: https://www.logicmonitor.com/blog/logicmonitor-frankfurt-germany-data-center - Categories: Blog, Monitoring & Observability, News and Development, Security & Compliance LogicMonitor’s new Frankfurt data center enhances local compliance, reduces latency, and supports growing hybrid IT needs across the DACH region and Europe. As AI adoption accelerates across Europe, enterprises need infrastructure that’s powerful, trusted, compliant, and close to home. That’s why LogicMonitor is excited to announce the expansion of our global footprint with a new data center in Frankfurt, Germany - our seventh worldwide. This launch reflects surging demand for LogicMonitor’s AI-powered observability platform, particularly in compliance-driven industries across the EU and DACH region (Germany, Austria, Switzerland). It’s a key milestone in our commitment to helping European businesses monitor, optimize, and scale complex hybrid environments, on your terms.   Serving the Needs of the European Market Germany enforces some of the strictest data protection and residency requirements in the world, and continues to influence policy across the EU. With this new data center, LogicMonitor shows our ongoing commitment to aligning with key in-country regulations—including the Federal Data Protection Act (BDSG), GDPR, and internal mandates to keep operational data within national borders.   This launch directly supports LogicMonitor’s existing roster of DACH customers and further benefits sectors across the EU like banking, manufacturing, and the public sector, where infrastructure location is often non-negotiable. Half of Germany’s top 10 most valuable enterprises—spanning software, insurance, manufacturing, and healthcare—rely on LogicMonitor to power resilient, high-performance IT across complex hybrid environments. With the addition of the German data center, these leading LogicMonitor customers meet compliance requirements while also gaining faster performance, lower latency and more responsive hybrid observability across the region. Supporting Growth Across DACH and the Greater EU The DACH region is one of LogicMonitor’s fastest-growing... --- > Discover how the University of Western Australia slashed alerts by 90%, empowered 200+ users with shared visibility, and transformed IT operations campus-wide with LogicMonitor—boosting resilience and enhancing student experiences. - Published: 2025-06-27 - Modified: 2025-06-30 - URL: https://www.logicmonitor.com/case-study/how-the-university-of-western-australia-transformed-campus-wide-it-operations-with-logicmonitor - Categories: Case study - Tags: case study Discover how the University of Western Australia slashed alerts by 90%, empowered 200+ users with shared visibility, and transformed IT operations campus-wide with LogicMonitor—boosting resilience and enhancing student experiences. For a top-ranked university like UWA, uptime isn’t optional—it’s mission-critical. With more than 28,000 students and a reputation for world-class research and education, every IT system supports something essential: student enrollment, academic timetabling, research funding, and learning platforms. But behind the scenes, fragmented tools and siloed visibility were creating real problems. Disjointed monitoring. Too many alerts. Too few people with access to take action. These challenges slowed response times, drained focus, and put the university’s digital services—and reputation—at risk. From alert overload to proactive precisionUWA needed a smarter, more unified approach to observability. That’s when they turned to LogicMonitor. Here’s how LogicMonitor helped: 90%+ alert reductionCritical alerts dropped from 250 a day to as few as 10—giving IT teams clarity and control, not noise. 200+ users with shared visibilityOver 200 stakeholders now use LogicMonitor to monitor, respond, and collaborate across infrastructure, applications, and services. From firefighting to foresightThanks to historical trend analysis and intelligent alert tuning, UWA moved from reactive support to proactive system optimization. Cross-campus collaborationBy embedding observability into departments beyond IT, UWA created a more connected, efficient way to manage services at scale. “We now optimize systems and plan updates, rather than firefighting outages. ”— Steven Lim, Manager of System Administration, UWA The future of higher education runs on resilienceUniversities face growing pressure to deliver reliable services 24/7, support digital learning, and collaborate across decentralized teams—all without increasing headcount. UWA’s transformation shows how observability can help. With LogicMonitor, education institutions can: Ensure always-on learning platforms and student services... --- > Mit dem neuen Rechenzentrum in Frankfurt setzt LogicMonitor ein starkes Zeichen. Es stärkt die lokale Compliance, sorgt für blitzschnelle Verbindungen und ist bestens gerüstet für die steigenden Anforderungen hybrider IT in der DACH-Region und ganz Europa. - Published: 2025-06-27 - Modified: 2025-06-27 - URL: https://www.logicmonitor.com/de/logicmonitor-frankfurt-deutsches-rechenzentrum - Categories: Uncategorized Mit dem neuen Rechenzentrum in Frankfurt setzt LogicMonitor ein starkes Zeichen. Es stärkt die lokale Compliance, sorgt für blitzschnelle Verbindungen und ist bestens gerüstet für die steigenden Anforderungen hybrider IT in der DACH-Region und ganz Europa. Die Nachfrage nach leistungsstarker, vertrauenswürdiger und gesetzeskonformer IT-Infrastruktur wächst rasant. Vor allem seit KI in Europa auf dem Vormarsch ist, suchen Unternehmen nach Lösungen, die nicht nur technisch überzeugen, sondern auch lokal gehostet werden. Deshalb erweitert LogicMonitor sein globales Netzwerk um ein weiteres Rechenzentrum in Frankfurt am Main - bereits unser siebter Standort weltweit. Mit diesem Schritt reagieren wir auf das stark wachsende Interesse an unserer KI-gestützten Observability-Plattform. Besonders in regulierten Branchen in der EU und der DACH-Region (Deutschland, Österreich und Schweiz) ist der Bedarf enorm. Das neue Rechenzentrum ist ein wichtiger Meilenstein auf unserem Weg. Wir setzen alles daran, europäischen Unternehmen dabei zu helfen, ihre komplexen hybriden IT-Landschaften zuverlässig zu überwachen, gezielt zu optimieren und nachhaltig zu skalieren, ganz nach ihren eigenen Vorstellungen.   Maßgeschneidert für den europäischen Markt Deutschland stellt einige der strengsten Anforderungen an Datenschutz und Datenspeicherung weltweit. Gleichzeitig beeinflusst das Land maßgeblich die Entwicklung entsprechender Regelungen innerhalb der gesamten EU. Mit dem neuen Rechenzentrum unterstreicht LogicMonitor sein dauerhaftes Engagement, den wichtigsten nationalen Vorgaben gerecht zu werden. Dazu zählen unter anderem das Bundesdatenschutzgesetz (BDSG), die Datenschutz-Grundverordnung (DSGVO) sowie interne Richtlinien, die vorsehen, dass operative Daten innerhalb der Landesgrenzen verbleiben.   Mit dem neuen Standort stärkt LogicMonitor gezielt seine bestehenden Kunden in der DACH-Region. Gleichzeitig profitieren auch zahlreiche Branchen in der gesamten EU davon – darunter Banken, Industrieunternehmen und der öffentliche Sektor, in denen der Standort der Infrastruktur häufig strikt vorgeschrieben ist und keinerlei Spielraum lässt. Die Hälfte der zehn wertvollsten Unternehmen Deutschlands aus den Bereichen Software, Versicherungen,... --- > An inside look at how one of APAC’s largest MSPs used AI to reduce operational noise, improve incident resolution, and build a smarter ITOps workflow. - Published: 2025-06-25 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/ai-incident-management-msps - Categories: Blog - Tags: AI for ITOps, AI incident management, Edwin AI, Edwin AI customer stories, managed service provider automation An inside look at how one of APAC’s largest MSPs used AI to reduce operational noise, improve incident resolution, and build a smarter ITOps workflow. An operations team at one of the Asia-Pacific's largest managed service providers (MSPs) was drowning in their own success. Years of investment in monitoring tools and automation had created comprehensive visibility—and comprehensive chaos. Engineers opened dashboards each morning to find thousands of alerts waiting, with critical incidents buried somewhere inside. The scale of the problem was overwhelming their capacity to respond effectively. As the business grew, meeting SLAs became increasingly difficult, and service quality suffered under the weight of alert fatigue. The MSP needed a fundamental change in approach. That change came in the form of Edwin AI, an AI agent for ITOps. Implementing this AI-powered incident management product achieved measurable results within weeks. Alert noise dropped by 78%, incident volumes decreased dramatically, and the team shifted from reactive firefighting to strategic problem-solving. Here's how they transformed their IT operations. The Solution: Let Edwin AI Do the Sorting The MSP implemented Edwin AI, LogicMonitor's AI agent for ITOps, to process alert streams from their existing observability infrastructure. Edwin AI operates as an intelligence layer between their current tools, ingesting raw alerts from across the technology stack, identifying patterns, eliminating duplicate issues, and surfacing incidents that require human attention. Instead of engineers manually connecting related events across different systems, Edwin AI performs correlation work automatically and routes consolidated incidents directly into ServiceNow. The implementation created immediate operational changes: Alerts from multiple monitoring tools flow into a unified stream Redundant notifications are grouped together before ticket creation Related events from different systems... --- > Visionary Customers and Partners Recognized for Driving Operational Excellence and Transformation in the Data Center with LogicMonitor’s AI-Powered Hybrid Observability Platform - Published: 2025-06-25 - Modified: 2025-06-26 - URL: https://www.logicmonitor.com/press/presidio-syngenta-infosys-ntt-data-and-aws-among-those-honored-with-logicmonitor-elevate-awards-for-excellence-in-ai-driven-observability-and-data-center-transformation - Categories: Press, Press Release - Tags: press Visionary Customers and Partners Recognized for Driving Operational Excellence and Transformation in the Data Center with LogicMonitor’s AI-Powered Hybrid Observability Platform Visionary Customers and Partners Recognized for Driving Operational Excellence and Transformation in the Data Center with LogicMonitor’s AI-Powered Hybrid Observability Platform LONDON, United Kingdom, June 25, 2025 – LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced the winners of its 2025 Elevate Awards at the Elevate Community Conference in London.   The Elevate Awards recognize LogicMonitor customers and partners that are driving innovation, achieving transformative outcomes, and leading the industry through the strategic use of AI-powered observability in the modern data center. “With AI fundamentally reshaping how organizations monitor, manage, and optimize IT operations, our Elevate Award winners demonstrate what’s possible when innovation meets execution,” said Christina Kosmowski, CEO of LogicMonitor. “These standout customers and partners exemplify our shared mission to reimagine IT operations with the power of AI. This year’s winners are at the forefront of data center transformation, and show the incredible outcomes that can be achieved when teams are empowered with real-time data and AI-driven insights. ”  Uniting Community Around AI-Powered Observability and Data Center Modernization The 2025 Elevate Conference in London wrapped a series of community events bringing together LogicMonitor customers, partners, and industry leaders from around the globe for a day of thought leadership, technical deep dives, and strategic insight. The event marked a major milestone in LogicMonitor’s global community-building efforts, showcasing the company’s bold vision for AI-powered observability and data center modernization. 2025 Elevate Award Winners  Customer Award Winners: Agentic AIOps Trailblazer: Syngenta GroupSyngenta has emerged as a driving force... --- > LogicMonitor recognized by customers across multiple categories including AIOps, observability, and IT infrastructure monitoring - Published: 2025-06-17 - Modified: 2025-06-16 - URL: https://www.logicmonitor.com/press/logicmonitor-earns-2025-top-rated-award-from-trustradius - Categories: Press, Press Release - Tags: press LogicMonitor recognized by customers across multiple categories including AIOps, observability, and IT infrastructure monitoring LogicMonitor Recognized by Customers Across Multiple Categories Including AIOps, Observability, and IT Infrastructure Monitoring Santa Barbara, California – June 17, 2025 – LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced that TrustRadius has recognized LogicMonitor with a 2025 Top Rated Award. With a trScore of 8. 7 out of 10, LogicMonitor is recognized by its customers as a leader in AI Ops, Observability, IT Infrastructure Monitoring, and five other categories. LogicMonitor earned the 2025 Top Rated Award based entirely on reviews from its customers.   "At LogicMonitor, our customers are at the center of everything that we do, so the TrustRadius Top Rated Award is incredibly meaningful because it is based on direct customer feedback,” said Julie Solliday, Chief Customer Officer, LogicMonitor. “Our customers help guide our innovation, shape our roadmap, and fuel our commitment to delivering solutions that truly make a difference. We’re honored to earn this distinction as a trusted leader in hybrid observability and AIOps. ” “LogicMonitor earning a TrustRadius Top Rated award for LM Envision is a direct reflection of the positive sentiment in their customer reviews,” said Allyson Havener, Chief Marketing Officer at TrustRadius. “Customers consistently highlighted LM Envision’s scalability, ease of use, and proactive insights—showcasing how LogicMonitor helps organizations stay ahead of performance issues and drive smarter infrastructure decisions. ” Since 2016, the TrustRadius Top Rated Awards have become the B2B’s industry standard for unbiased recognition of excellent technology products. Based entirely on customer feedback, they have never been influenced... --- > A look back at Edwin AI’s first year in production, highlighting real-world deployments, technical milestones, and how agentic AIOps is transforming IT operations at scale. - Published: 2025-06-16 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/edwin-ai-turns-one-agentic-aiops-in-production - Categories: Blog, IT Operations, News and Development - Tags: agentic AIOps, ai agents, AI in IT, alert noise reduction, hybrid cloud observability, incident management, More Edwin AI, root cause analysis, ServiceNow integration A look back at Edwin AI’s first year in production, highlighting real-world deployments, technical milestones, and how agentic AIOps is transforming IT operations at scale. Twelve months ago, we shipped Edwin AI with a specific hypothesis that AI agents could handle the operational drudgery slowing down ITOps teams. It was a deliberate bet against the cautious consensus that AI should act only as a copilot, limited to offering suggestions. Most AIOps tools still follow that script. They’re stuck surfacing insights and stop short of action. Edwin was built differently. It was designed to make decisions, correlate events, and execute fixes. A year later, we know our bet paid off. Edwin is now running in production across global retailers, financial institutions, managed service providers, and more. The results validate something important about how AI can change ITOps work by eliminating the noise that buries it. Here's what Edwin AI accomplished in its first year. How Teams Transformed with Edwin AI Edwin's first year delivered results across remarkably diverse environments, each presenting unique operational challenges. Chemist Warehouse operates more than 600 retail locations around the globe with complex multi-datacenter infrastructure. With Edwin AI Event Intelligence, their ITOps team achieved an 88% reduction in alert noise while maintaining full visibility into critical systems. Engineers shifted from constant, reactive firefighting to strategic infrastructure improvements. The Capital Group, one of the world's largest investment management firms, processes over 30,000 alerts monthly across regulated financial systems. Edwin enabled their teams to move from volume-based triage to impact-based operations, focusing resources on business-critical issues while handling routine incidents automatically. Nexon, managing multi-tenant infrastructure for clients across ANZ, saw a 91% reduction in... --- > Contrasting DevOps, MLOps, AIOps, and Agentic AIOps: Key differences in automation, technology, and the journey to autonomous IT. - Published: 2025-06-12 - Modified: 2025-06-12 - URL: https://www.logicmonitor.com/blog/aiops-devops-mlops-and-agentic-aiops - Categories: Blog, Business Education - Tags: agentic AIOps, More Agentic AIOps DevOps, MLOps, AIOps, Agentic AIOps: Where do they overlap, and where do they diverge? Unpack the critical differences in automation levels, key technologies, and the path to fully autonomous IT. There’s a common misconception in IT operations that mastering DevOps, AIOps, or MLOps means you’re “fully modern. ”  But these aren’t checkpoints on a single journey to automation. DevOps, MLOps, and AIOps solve different problems for different teams—and they operate on different layers of the technology stack. They’re not stages of maturity. They’re parallel areas that sometimes interact, but serve separate needs. And now, a new frontier is emerging inside IT operations itself: Agentic AIOps. It’s not another dashboard or a new methodology. It’s a shift from detection to autonomous resolution—freeing teams to move faster, spend less time firefighting, and focus on what actually moves the business forward. In this article, we’ll break down: What DevOps, MLOps, AIOps, and agentic AIOps actually mean How they fit into modern IT (and where they don't overlap) Why agentic AIOps marks a transformational leap for IT operations Let’s start by understanding what each “Ops” term means on its own. Why “Ops” Matters in IT Today Modern IT environments are moving targets. More apps. More data. More users. More cloud. And behind it all is a patchwork of specialized teams working to keep everything running smoothly. Each "Ops" area—DevOps, MLOps, AIOps, and now agentic AIOps—emerged to solve a specific bottleneck in how systems are built, deployed, managed, and scaled and how different technology professionals interact with them. Notably, they aren't layers in a single stack. They aren't milestones on a maturity curve. They are different approaches, designed for different challenges, with different users in... --- > A look at how LogicMonitor’s Edwin AI and Infosys AIOps Insights are reshaping enterprise observability with real-time intelligence, automation, and measurable results. - Published: 2025-06-10 - Modified: 2025-06-10 - URL: https://www.logicmonitor.com/blog/edwin-ai-integration-with-infosys-aiops-insights - Categories: Blog, IT Operations, Monitoring & Observability, News and Development - Tags: accelerate root cause analysis, agentic AIOps, AI for IT operations, AI-powered observability, aiops use cases, edwin ai integration, enterprise it, enterprise it automation, hybrid observability platform, infosys aiops insights, infosys cobalt integration, intelligent incident response, logicmonitor aiops, logicmonitor infosys partnership, proactive it resolution, reduce alert noise A look at how LogicMonitor’s Edwin AI and Infosys AIOps Insights are reshaping enterprise observability with real-time intelligence, automation, and measurable results. Today’s IT environments span legacy infrastructure, multiple cloud platforms, and edge systems—each producing fragmented data, inconsistent signals, and hidden points of failure. This scale brings opportunity, but also operational strain: fragmented visibility, overwhelming alert noise, and slower time to resolution.   With good reason, public and private sector organizations alike are moving beyond basic visibility, demanding hybrid observability that’s context-aware and action-oriented. To meet this need, LogicMonitor and Infosys have partnered to integrate Edwin AI with Infosys AIOps Insights, part of the Infosys Cobalt suite. The collaboration combines LogicMonitor’s AI-driven hybrid observability platform with Infosys’ strength in automation and enterprise transformation. “The scale and complexity of today’s enterprise IT environments demand a unified, AI-powered observability platform that can intelligently monitor, analyze, and automate across hybrid infrastructures,” said Michael Tarbet, Global Vice President, MSP & Channel, LogicMonitor. “Our collaboration with Infosys reflects our shared goal of equipping organizations with the tools they need to anticipate problems, reduce downtime, and keep mission-critical systems performing at their peak. ” The Challenge of Complex IT Environments Enterprises today are operating in environments where no single system tells the whole story.   Critical infrastructure spans data centers, public and private clouds, and edge devices—all generating massive volumes of telemetry. But without a unified lens, teams are left stitching together siloed data, reacting to symptoms instead of solving root issues. Legacy monitoring tools weren’t built for this level of complexity. What’s needed is an observability platform that both spans these hybrid environments and applies AI to... --- > AI agents are reshaping IT operations—this piece breaks down the hidden costs of building in-house and why more teams are turning to proven, off-the-shelf platforms like Edwin AI. - Published: 2025-06-09 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/build-vs-buy-ai-agent-itops - Categories: Blog, IT Operations - Tags: agentic AIOps, AI for IT operations, AI observability, AIOps tools, Build vs buy AI agents, Edwin AI, More Agentic AIOps, MTTR improvement, reduce alert noise AI agents are reshaping IT operations—this piece breaks down the hidden costs of building in-house and why more teams are turning to proven, off-the-shelf platforms like Edwin AI. Most internal AI projects for IT operations next exit pilot. Budgets stretch, priorities shift, key hires fall through, and what started as a strategic initiative turns into a maintenance burden—or worse, shelfware. Not because the teams lacked vision. But because building a production-grade AI agent is an open-ended commitment. It’s not just model tuning or pipeline orchestration. It’s everything: architecture, integrations, testing frameworks, feedback loops, governance, compliance. And it never stops. The teams that do manage to launch often find themselves locked into supporting a brittle, aging system while the market moves forward. Agent capabilities improve weekly. New techniques emerge. Vendors with dedicated AI teams ship faster, learn faster, and compound value over time. Edwin AI, developed by LogicMonitor, reflects that compounding advantage. It’s live in production, integrated with real workflows, and delivering results for our customers. Built as part of a broader agentic AIOps strategy, it’s engineered to reduce alert noise, accelerate resolution, and handle the grunt work that slows teams down. What follows is a breakdown of what it actually takes to build an AI agent in-house—what gets overlooked, what it costs, and what’s gained when you deploy a product that’s already proven at scale. The Complexities and Costs of Building an AI Agent In-House Building an AI agent sounds like control. In reality, it's overhead. What starts as a way to customize quickly becomes a full-stack engineering program. You’re taking on a distributed system with fragile dependencies and fast-moving interfaces.   You’ll need infrastructure to run inference... --- > LogicMonitor’s new Chief Product Officer Garth Fort will drive AI-powered observability growth as the company exceeds $300M ARR. - Published: 2025-06-04 - Modified: 2025-06-03 - URL: https://www.logicmonitor.com/press/logicmonitor-appoints-garth-fort-as-chief-product-officer-to-accelerate-ai-platform-and-agentic-ai-growth - Categories: Press, Press Release - Tags: press LogicMonitor’s new Chief Product Officer Garth Fort will drive AI-powered observability growth as the company exceeds $300M ARR. Former Splunk and AWS executive joins as LogicMonitor surpasses $300M in ARR and scales its innovative AI capabilities SANTA BARBARA, Calif. —June 4, 2025—LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced the appointment of Garth Fort as Chief Product Officer. Fort will oversee LogicMonitor’s global product strategy and execution, accelerating development of its LM Envision platform and driving continued leadership in AI-powered observability and AIOps with its AI agent, Edwin AI. The announcement comes as LogicMonitor surpasses a key financial milestone—exceeding $300 million in annual recurring revenue (ARR)—fueled by strong momentum in up-market expansion and multi-product adoption. Customers generating over $100K in ARR have grown more than 25% year-over-year and now account for 80% of total ARR. Edwin AI, launched just one year ago, has already contributed meaningfully to top-line acceleration and broader platform adoption.   “Garth’s appointment represents our continued, strategic investment in product leadership at the intersection of Agentic AIOps and hybrid observability,” said Christina Kosmowski, CEO of LogicMonitor. “Garth brings the pedigree and operational excellence to accelerate and execute our roadmap and unlock more value for our customers and partners—our goal is to reduce unplanned downtime by 50% and empower customers with foresight, not hindsight. ” A former SVP and Chief Product Officer at Splunk, Fort led the company’s transition to the cloud, now a $4. 2 billion business. His expertise in product and technology has been key in shaping market-leading software and cloud services, including at Amazon Web Services (AWS) and Microsoft.... --- > See how real IT teams use LogicMonitor Envision to improve visibility, reduce costs, and deliver stronger service performance. - Published: 2025-06-04 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/real-it-teams-real-azure-monitoring-success-with-lm-envision - Categories: Blog, Engineering - Tags: Azure alert noise, Azure cost monitoring, Azure cost spike detection, Azure DR dashboards, Azure infrastructure monitoring, Azure Monitor vs LogicMonitor, Azure monitoring, Azure monitoring best practices, Azure monitoring dashboards, Azure monitoring tools, Azure observability, Azure onboarding automation, config monitoring Azure LogicMonitor, find idle Azure VMs, LogicMonitor Azure case study, LogicMonitor cost optimization Azure, LogicMonitor customer stories Azure, LogicMonitor Envision Azure, LogicMonitor onboarding NetScans, monitor Azure and AWS together, monitoring Azure environments, MTTR in Azure monitoring, reduce Azure alert noise See how real IT teams use LogicMonitor Envision to improve visibility, reduce costs, and deliver stronger service performance. Azure environments are growing fast, and so are the challenges of monitoring them at scale. In this blog, part of our Azure Monitoring series, we look at how real ITOps and CloudOps teams are moving beyond Azure Monitor to achieve hybrid visibility, faster troubleshooting, and better business outcomes. These real-life customer stories show what’s possible when observability becomes operational. Want the full picture? Explore the rest of the series. When you're managing critical infrastructure in Microsoft Azure, uptime isn't the finish line. It's the starting point. The IT teams making the biggest impact today aren't just "watching" their environments. They're using observability to drive real business results. Here's how a few teams across MSPs, transportation, healthcare, and financial services industries made it happen. From Alert Overload to 40% More Engineering Time A U. S. -based MSP hit a wall. Their engineers were buried in noisy alerts from Azure Monitor, most of them triggered by hard-coded thresholds that didn’t reflect actual performance risk. Every spike above 80% CPU usage was treated like a fire, regardless of context. Even low-priority virtual machines (VMs) were flooding their queue. The engineers risked missing acting upon critical alerts from customer environments as a result of the alert volume. They replaced static thresholds with dynamic alerting tuned to each environment's baseline behavior. They grouped resources by service tier (prod, dev, staging), applied tag-based routing, and built dashboards that surfaced only the issues tied to Service Level Agreements (SLAs). Alert noise dropped by 40%, and engineering teams... --- > Discover how Chemist Warehouse reduced alert noise by 88% and transformed global ITOps with Edwin AI and LogicMonitor’s unified observability platform. - Published: 2025-06-04 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/cutting-through-the-noise-chemist-warehouse-edwin-ai - Categories: Blog, IT Operations, Monitoring & Observability - Tags: AI for IT operations, aiops, Chemist, Edwin AI, Edwin AI customer stories, Warehouse Discover how Chemist Warehouse reduced alert noise by 88% and transformed global ITOps with Edwin AI and LogicMonitor’s unified observability platform. When you’re running IT for 600+ stores across Australia, New Zealand, Ireland, Dubai, and China, “complexity” doesn’t quite cover it. Every POS terminal, warehouse server, store router, and mobile device adds to the operational noise—and when something breaks, the ripple effect hits fast.   For Chemist Warehouse, reliable IT operations is about meeting community healthcare needs, staying compliant across regions, and keeping essential pharmacy services online 24/7. In this recent LogicMonitor webinar, Cutting Through the Noise, Jesse Cardinale, Infrastructure Lead at Chemist Warehouse, joined LogicMonitor’s Caerl Murray to walk through how they tackled alert fatigue, streamlined incident response, and shifted their IT team from reactive to proactive—with the help of Edwin AI. If you’re dealing with high alert volumes, fragmented monitoring tools, or the growing pressure to “do more with less,” this recap is for you. Meet Chemist Warehouse: Retail at Global Scale  Chemist Warehouse is Australia’s largest pharmacy retailer, but it’s also a global operation. With over 600 stores and a rapidly growing presence in New Zealand, Ireland, Dubai, and China, the company’s IT backbone has to support a 24/7 environment. That includes three major data centers, a cloud footprint spanning multiple providers, and an SD-WAN network connecting edge systems across every store and distribution center. Jesse Cardinale, who leads infrastructure at Chemist Warehouse, summed it up: “We’re responsible for the back end of everything that keeps the business running 24/7. There’s the technology, of course—but it’s the scale, the people, and the processes can make it a bit... --- > How Tecala Transformed Onboarding and Operational Efficiency in 90 Days with LogicMonitor - Published: 2025-06-03 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/resource/tecala-fast-tracks-managed-services-transformation-with-logicmonitor-in-90-days - Categories: Case study, Resources 20% more engineering capacity and 70% faster client onboarding—setting the stage for AI-driven operations. As one of Australia’s leading managed service providers, Tecala is trusted by a wide range of organizations to deliver IT services that drive performance, security, and innovation. But their ability to scale was hitting a wall. Manual workloads. Infrastructure bottlenecks. Slow onboarding that delayed client value. These legacy challenges were getting in the way of Tecala’s growth and service excellence. A fast, future-ready transformation Tecala knew they needed to modernize—fast. Their teams were stretched, and onboarding new customers was taking far too long. That’s when they turned to LogicMonitor. With LM Envision, Tecala transformed their monitoring strategy in just 90 days. Here’s how LogicMonitor helped:  70% faster onboarding. Tecala reduced new customer onboarding time by more than two-thirds—accelerating time-to-value and improving the customer experience. 20% more engineering capacity. With automation in place, Tecala reclaimed valuable engineering time and redirected it to innovation and high-impact initiatives.  Single-pane visibility across customers. LogicMonitor’s multi-tenant architecture allowed Tecala to monitor and manage all client environments through one unified platform—without compromising on data separation or security. Ready for the future with AI and automation. The LogicMonitor platform laid the foundation for agentic AIOps with Edwin AI and seamless ServiceNow integration, empowering Tecala to reduce alert fatigue, enable proactive incident response, and support usage-based billing. Why it matters for MSPs Managed service providers face constant pressure to scale efficiently, deliver faster results, and protect service quality across a growing portfolio. Tecala’s story proves that the right observability platform can unlock all three—while setting the stage for... --- - Published: 2025-06-03 - Modified: 2025-06-18 - URL: https://www.logicmonitor.com/resource/how-migros-consolidated-38000-devices-into-one-unified-observability-platform-with-logicmonitor - Categories: Case study, Resources Licensing costs reduced, engineering resources freed, and downtime minimized across a nationwide network. As Switzerland’s largest private employer, Migros operates everything from grocery stores and industrial plants to corporate offices—making uninterrupted operations mission-critical. With millions of daily transactions and a network of over 38,000 devices, even a moment of downtime can translate to lost revenue and production delays. But Migros’ legacy monitoring setup was struggling to keep up. Too many tools. Too many blind spots. Too much time spent firefighting incidents instead of focusing on innovation. From fragmented tools to streamlined operations Migros needed a single solution that could scale across its enterprise, support future growth, and reduce time-to-resolution for network incidents. They found it in LogicMonitor. Here’s how LogicMonitor helped: Reduced MTTR and downtime across business units. Incidents that once required manual coordination are now detected and diagnosed instantly—reducing store outages and improving uptime across manufacturing sites. Replaced multiple tools with one unified platform. By consolidating legacy systems, Migros lowered licensing costs, minimized maintenance, and eliminated alert silos—freeing engineers to focus on revenue-driving initiatives. Centralized observability across 38,000+ devices. From switches and access points to firewalls and IP proxies, LogicMonitor gave Migros real-time visibility into their entire hybrid infrastructure. Future-ready for cloud and automation. As Migros pursues its cloud-first strategy, LogicMonitor scales effortlessly while enabling automation—like rebooting failed access points to prevent store disruptions. Built for complexity, ready for the future For a retail and industrial powerhouse like Migros, observability isn’t just about IT—it’s about business continuity. From enabling real-time service at retail locations to safeguarding production lines, LogicMonitor helps Migros ensure... --- > Discover the benefits of agentic AIOps—from faster incident resolution to smarter scaling—and how AI agents transform modern IT operations. - Published: 2025-05-28 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/agentic-aiops-benefits - Categories: Blog, IT Operations - Tags: agentic AIOps, More Agentic AIOps Discover the benefits of agentic AIOps—from faster incident resolution to smarter scaling—and how AI agents transform modern IT operations. Your systems are getting faster. More complex. More distributed. But your tools are still waiting for something to go wrong before they do anything about it. That’s the real limitation of most AIOps platforms. They highlight issues. They suggest next steps. But they stop short of action—leaving your team to connect the dots, chase down context, and manually fix what broke. Agentic AIOps doesn’t wait. It acts.   AI agents detect problems, understand what’s happening, and either fix it—or set the fix in motion. They learn from each incident and carry that knowledge forward. This is infrastructure that can think, respond, and improve in real time. In this piece, we’ll break down the five core benefit areas of agentic AIOps to show how it helps teams move faster, stay more stable, and scale without the tool sprawl. Let’s get into it. From automation to autonomy Traditional AIOps helped teams move faster by spotting patterns, detecting anomalies, and speeding up root cause analysis. But under the hood, most of these products still rely on brittle logic—thresholds, static rules, and manual tuning that can’t keep up with constantly changing systems. When those rules break or environments shift, teams are left scrambling to reconfigure alerts or intervene manually. This all means more noise, slower fixes, and growing maintenance overhead. Agentic AIOps is a shift from suggestion to action. Instead of surfacing problems and waiting, agentic solutions take the next step: evaluating context, choosing the right response, and executing it autonomously—within the boundaries you... --- > Agentic AIOps drives scalable, efficient IT operations. Discover how MSP Nexon cut IT incidents by 67% and reduced alert noise by 91% using Edwin AI. - Published: 2025-05-27 - Modified: 2025-05-28 - URL: https://www.logicmonitor.com/resource/nexon-scales-managed-services-with-edwin-ai - Categories: Case study, Resources - Tags: aiops, AIOps transformation, alert noise reduction, Edwin AI customer stories, itops, ITOps transformation, proactive monitoring, reducing alert noise Agentic AIOps drives scalable, efficient IT operations. Discover how MSP Nexon cut IT incidents by 67% and reduced alert noise by 91% using Edwin AI. Nexon faced over 10,000 alerts a day, slowing down response times and overwhelming engineers. Managing incidents across a growing multi-tenant environment was becoming unsustainable. To scale efficiently, Nexon deployed Edwin AI, LogicMonitor’s AI agent for ITOps. Within weeks, alert noise dropped by 91%, and ServiceNow incidents were reduced by 67%. With fewer tickets and faster triage, Nexon’s engineers now focus on delivering better outcomes for customers—not sorting through noise. Edwin AI also simplified onboarding and alert management across clients, helping Nexon scale without increasing overhead. “This is a game-changing solution that delivers real, measurable results. ” — Joshua Powell, Managed Services Lead, Nexon Key results 91% alert noise reduction 67% fewer ServiceNow incidents Faster triage and root cause analysis Scalable multi-tenant management --- > A recent AWS fix exposed a long-standing ELB billing bug, causing unexpected cost spikes. Here's how LogicMonitor customers caught it fast. - Published: 2025-05-23 - Modified: 2025-05-23 - URL: https://www.logicmonitor.com/blog/aws-elb-cost-spike-lm-envision-cost-optimization - Categories: Blog, IT Operations, News and Development - Tags: unexpected AWS charges A recent AWS fix exposed a long-standing ELB billing bug, causing unexpected cost spikes. Here's how LogicMonitor customers caught it fast. On May 1st, AWS corrected a long-standing billing bug tied to Elastic Load Balancer (ELB) data transfers between Availability Zones (AZs) and regions. That fix triggered a noticeable increase in charges for many users, especially for those with high traffic volumes or distributed architectures. The problem wasn’t new usage; it was a silent correction to an old error.   What Actually Changed ELBs are designed to distribute traffic across multiple AZs for high availability. For some time, AWS had been under-billing for data transfers across those zones due to a backend miscalculation. Once AWS patched the issue, affected traffic was billed at standard rates. Here’s what teams started to notice: A spike in cross-AZ data transfer costs Sudden increases in ELB charges, even without changes in usage patterns No official notice from AWS and no retroactive billing adjustments Without active monitoring, these increases could’ve gone undetected until the invoice hit. LogicMonitor's Cost Optimization dashboard shows a 49. 65% jump in networking spend from May 1–14, 2025—an increase (due to AWS's silent ELB billing fix) of $25. 8K compared to early April. Customers Using LogicMonitor’s Cost Optimization Could See It First Organizations using LogicMonitor’s Cost Optimization product quickly saw the impact through the billing widget, which provides real-time visibility into cloud spend across AWS, Azure, and GCP. On May 1st, ELB costs jumped, and LM Envision’s Cost Optimization dashboard in various customer instances could spot the change. Cost Optimization began showing noticeable increases. In several cases, including in our own LogicMonitor... --- - Published: 2025-05-22 - Modified: 2025-05-22 - URL: https://www.logicmonitor.com/blog/troubleshoot-faster-lm-logs - Categories: Best Practices, Blog, Business Education, IT Operations - Tags: accelerate incident resolution, automated log analysis, faster troubleshooting IT, find problems faster with logs, how to find root cause with logs, IT alert troubleshooting steps, LM Logs guide, log analysis for root cause, log anomalies detection, log patterns in monitoring, LogicMonitor log troubleshooting, reduce MTTR with logs, troubleshooting with logs, troubleshooting workflows LogicMonitor, using logs to fix IT issues Traditional troubleshooting wastes time and buries answers under endless log data. See how LM Logs connects metrics and logs automatically, so you can pinpoint root causes faster and slash MTTR. When an alert fires, your goal is clear: fix the problem—fast. But traditional troubleshooting rarely makes that easy. You’re immediately thrown into decision mode: Do I remote into the device? Reboot it? Restart services? Do I even have access? Are logs available in a tool or buried on the system? Do I know the query language? Do I log a ticket for another team to step in? All the while, the clock is ticking. The longer you’re stuck guessing what to do next, the longer your downtime drags on, and the more non-value-added engineering time you burn. LogicMonitor Logs changes this by automatically correlating your logs with the exact metrics, resources, and alerts that triggered the issue, so you’re not starting from scratch. You’ll see the logs in context, right where the problem occurred, alongside performance trends and system behavior. And instead of wading through noise, LM Logs surfaces what stands out: rare anomalies, sudden spikes, and machine-learned patterns that haven’t been seen before. It’s observability with built-in intelligence designed to show you why something happened, not just that it did. Once you’ve got the right data in front of you, the next step is knowing what to do with it. Let’s walk through a structured workflow designed to accelerate troubleshooting and improve Mean Time to Resolution (MTTR). Step 1: Quickly Access the Situation in the Overview Tab When an alert fires, your first task is to gather context fast. Start at the Overview tab in LogicMonitor to immediately grasp... --- > Infosys and LogicMonitor Team Up to Revolutionize AIOps and Observability. The global partnership now harnesses LogicMonitor's Edwin AI to drive AI-based digital transformation for Infosys's AIOps and Observability clients - Published: 2025-05-21 - Modified: 2025-05-20 - URL: https://www.logicmonitor.com/press/infosys-and-logicmonitor-team-up-to-revolutionize-aiops-and-observability - Categories: Press, Press Release - Tags: press The global partnership now harnesses LogicMonitor's Edwin AI to drive AI-based digital transformation for Infosys's AIOps and Observability clients Driving enhanced operational efficiency and observability with Infosys AIOps Insights and LogicMonitor’s Edwin AI Bengaluru, India and Santa Barbara, CA – May 21, 2025: Infosys (NSE, BSE, NYSE: INFY), a global leader in next generation digital services and consulting, today announced its strategic collaboration with LogicMonitor, a leading SaaS-based hybrid observability platform powered by artificial intelligence (AI). By combining Infosys AIOps Insights, part of Infosys Cobalt cloud offering, with LogicMonitor’s Edwin AI, the collaboration seeks to enhance the observability of IT operations, improving performance, reliability and customer experience across complex systems. Together, these offerings of Infosys and LogicMonitor aim to reduce problem diagnosis and resolution time by up to 30%, minimize redundant alerts by up to 70%, and provide comprehensive visibility across IT environments. They also deliver persona-based insights, improving forecasting and empowering proactive IT resolutions and business decisions. Michael Tarbet, Global Vice President, MSP & Channel, LogicMonitor, said, "As enterprises navigate increasingly complex IT environments that span on-premises, multi-cloud, and critical devices, the need for a unified, hybrid observability platform powered by AI has never been greater. Through our collaboration with Infosys, we aim to address these challenges and deliver transformative observability solutions to global enterprises. By integrating LogicMonitor’s Edwin AI with Infosys’ AIOps Insights, we are helping enterprises achieve operational excellence, reduce costs, and ensure IT resilience. Patrick Atkins, Director - IT Operations, Sally Beauty Holdings, Inc, said, “We are pleased with the progress we are making with the LogicMonitor platform. By increasing proactive issue detection capabilities and... --- > Learn what AIOps is, how it works, and why it matters. A practical guide to smarter, faster, AI-driven IT operations. - Published: 2025-05-20 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/what-is-aiops - Categories: Blog, IT Operations - Tags: aiops, Edwin AI, itops, More Agentic AIOps Modern IT is overloaded with data, alerts, and constant pressure to do more with less. AIOps helps by using AI to cut through the noise, spot issues early, and even fix them automatically. This guide breaks down what AIOps is, how it works, and why it matters—without the jargon. IT operations aren’t broken; they’re overloaded. Every alert, every outage, every ticket is a symptom of scale. Cloud sprawl, hybrid infrastructure, and tool overload have turned ops into a constant scramble. AIOps has been in the conversation for years, mostly as potential. In 2025, it’s showing signs of what it was always meant to be: a way to filter signals from noise, move faster than humans can alone, and set the stage for systems that can take the first step without waiting on you or your team to action the response. This guide breaks it down: what AIOps is, why it matters now, and how it’s evolving with the complexity of modern IT. What is AIOps? AIOps stands for artificial intelligence for IT operations. It uses machine learning and data science to help IT teams spot issues faster, understand what’s happening, and take action—sometimes automatically. Instead of digging through dashboards or chasing alerts across tools, AIOps brings data together from everywhere: metrics, events, logs, traces and even ITSM tickets. It analyzes that data in real time, looks for patterns in past incidents, and figures out what needs attention. Based on what it finds, it can recommend next steps or trigger them automatically. At its core, AIOps is about cutting through the noise, reducing manual effort, and helping teams stay ahead of performance and availability issues. It's not a single tool or product; it's an approach to running IT with more speed, context, and precision. You might also see it called... --- > Recognized in the IDC MarketScape for European Observability, LogicMonitor is noted for AI-powered insights, hybrid visibility, and a user-friendly platform designed for today’s evolving IT environments. - Published: 2025-05-15 - Modified: 2025-05-15 - URL: https://www.logicmonitor.com/resource/major-player-idc-marketscape-european-observability-market - Categories: Research and Reports, Resources - Tags: european it, european market, idc, research report Recognized in the IDC MarketScape for European Observability, LogicMonitor is noted for AI-powered insights, hybrid visibility, and a user-friendly platform designed for today’s evolving IT environments. “A rapidly adopted observability tool in EMEA. ” As hybrid environments and AI continue to reshape European IT, observability is critical for ensuring resilience and operational excellence. We believe LogicMonitor’s recognition as a Major Player in the IDC MarketScape European Observability Market 2025 Vendor Assessment demonstrates our ability to deliver innovative, AI-driven observability solutions across complex IT landscapes. The IDC MarketScape assessment highlights the following strengths for LogicMonitor: “A key differentiator for the vendor is its simple-to-use single-dashboard view, which is aimed at generalist users seeking to understand performance impacts across their IT environments for previously unmonitored or disconnected applications. ” “Notably, LogicMonitor is developing connectors for unstructured knowledge sources to provide tailormade recommendations in the customer environment. ” “Typically, Edwin AI compresses alert volumes by 97% and summarizes the actionable insights, enabling IT teams to focus on the most critical issues. Such capability is valued by managed service providers, who can use it to offer customers robust SLAs and SLOs and capture operational issues at scale more confidently. ”  The IDC MarketScape specifically notes, "LogicMonitor’s laser focus on hybrid environment observability, AI-driven insights, and extensive integrations have made its platform a rapidly adopted observability tool in EMEA. " Download the IDC MarketScape 2025 report excerpt to learn more. IDC MarketScape: European Observability Market 2025 Vendor Assessment, IDC #EUR152033324, March 2025. --- > Manual triage can’t keep up. Learn how agentic AIOps and Edwin AI are transforming IT incident response. - Published: 2025-05-13 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/incident-response-with-agentic-aiops - Categories: Blog, IT Operations - Tags: agentic AIOps, More Agentic AIOps Manual triage can’t keep up. Learn how agentic AIOps and Edwin AI are transforming IT incident response. Why are we still handling IT incident response like it’s 2014? Every day, ITOps teams are flooded with alerts, spread thin across hybrid systems, and stuck trying to stitch together visibility from solutions that don’t talk to each other. The incidents keep coming, but the tools aren’t getting smarter—and the humans are burned out. Even with best practices in place, response is often slow, inconsistent, and reactive. You chase symptoms instead of solving problems. You escalate what you can’t decode. And too often, the same issue reappears because the system didn’t learn anything from the last one. That’s not a people problem; it’s a process problem. And more importantly, it’s a tooling problem. Manual triage isn’t built for modern infrastructure. Neither are static playbooks or black-box monitoring platforms. What’s needed now is a system that can observe, analyze, and act—with enough context to actually help. Agentic AIOps makes that shift possible. Edwin AI puts it into practice. What is incident response? Incident response is the process ITOps teams follow to detect, investigate, and resolve issues that disrupt normal operations—like outages, performance slowdowns, system errors, or unexpected behavior. The goal is simple: restore service quickly and prevent the issue from happening again. But in practice, incident response often involves multiple steps and stakeholders, including alert monitoring, root cause analysis, ticketing, escalation, communication, and documentation. It’s a critical function for keeping systems stable, minimizing downtime, and protecting the business from costly disruptions. Traditionally, incident response is reactive and manual—driven by processes, playbooks,... --- > Cloud costs add up fast. Learn which Azure metrics help you cut waste, optimize performance, and keep budgets on track. - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/azure-metrics-cloud-costs - Categories: Blog, Cloud Computing - Tags: LM Envision Learn which Azure metrics help you cut waste, optimize performance, and keep budgets on track. This is the fourth blog in our Azure Monitoring series, and this time, we're digging into cost efficiency. Azure makes it easy to scale, but just as easy to overspend. Idle VMs, forgotten disks, and silent data transfer fees add up fast. The result is budget overruns that catch teams off guard and force reactive cuts. This blog breaks down the Azure metrics that actually help you reduce waste, improve visibility, and keep cloud spend aligned with business priorities. Missed our earlier posts? Catch up. Cloud costs scale fast. Compute, storage, networking, and API calls all add up, and without the right metrics, it's easy to lose track of where the money is going. Many teams monitor overall spend but miss the operational inefficiencies that drive waste. The key to cost efficiency is using data to pinpoint unnecessary expenses while keeping performance strong. In 2024, 80% of organizations overshot their cloud budgets by 20–50% without effective cost controls. Tracking the right cost metrics makes the difference between staying in control and scrambling to justify unexpected bills. Resource Utilization Metrics: Optimize Azure Costs Cloud costs add up fast, and it’s usually not because of one big mistake. It’s the slow creep of underused resources, oversized instances, and things no one remembers setting up. That’s why it pays to keep a close eye on how your infrastructure is actually being used. When you understand what’s pulling weight and what’s just pulling budget, it’s a lot easier to make smart decisions and stay... --- > Security gaps and silent failures don’t wait. Track the Azure metrics that keep your cloud environment safe, resilient, and always available. - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/azure-metrics-security-availability - Categories: Blog, Cloud Computing - Tags: Azure authentication patterns monitoring, Azure availability monitoring best practices, Azure compliance drift monitoring, Azure cross-service failure correlation, Azure degraded resource state monitoring, Azure disaster recovery metrics Azure, Azure failover readiness monitoring, Azure internal traffic anomalies, Azure multi-step WebChecks, Azure network security metrics, Azure policy enforcement metrics, Azure privileged access monitoring, Azure regional service availability monitoring, Azure resilience monitoring best practices, Azure resource access behavior monitoring, Azure RTO vs RPO tracking, Azure security metrics to monitor, Azure service dependency monitoring, Azure status transition tracking, Azure user-perceived availability monitoring, Azure vulnerability remediation tracking, cloud security and uptime monitoring Azure, LM Envision Azure security monitoring, LogicMonitor Azure availability metrics, suspicious login monitoring Azure Security gaps and silent failures don’t wait. Track the Azure metrics that keep your cloud environment safe, resilient, and always available. This is the fifth blog in our Azure Monitoring series, and we’re focusing on what’s most critical: keeping your environment secure and always available. Performance and cost mean nothing if your services go offline or your data is compromised. In this post, we’ll highlight the Azure metrics that help CloudOps teams detect threats early, build resilience into their stack, and stay ahead of outages before they impact users or compliance. Missed our earlier posts? Catch up. The success of cloud operations depends on security and availability. Your applications can run at lightning speed, and your costs can be optimized to the penny, but none of that matters if your services are compromised or unavailable. Many teams rely too heavily on surface-level metrics, such as basic uptime checks and firewall logs, rather than focusing on more comprehensive measures. These checks are important, but they often miss the deeper signals that can predict security incidents and outages. That’s why the most resilient teams don’t just monitor infrastructure—they track behavior. Because early signals don’t come from alerts. They come from patterns. Security Metrics: Spot Risks Before They Become Incidents Authentication and Access Patterns Many attacks begin with something simpler than an exploit: a compromised login. Once someone has valid credentials, they don’t need to break in. That’s why it’s so important to monitor authentication behavior, including not just failed attempts but also how, when, and where users sign in, particularly for high-privilege accounts. What to track: Failed login attempts by time and source:... --- > Cut through Azure’s noise with metrics that drive performance, reduce downtime, and keep your cloud operations running smoothly. - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/azure-metrics-cloudops-performance - Categories: Blog, Cloud Computing - Tags: Azure CPU monitoring best practices, Azure database performance metrics, Azure error rate monitoring, Azure infrastructure performance metrics, Azure IOPS vs latency, Azure latency monitoring best practices, Azure memory metrics for CloudOps, Azure metrics for user experience, Azure metrics that matter, Azure monitoring for CloudOps, Azure network performance monitoring, Azure performance metrics, Azure service health indicators, Azure service level indicators, Azure SLIs for CloudOps, Azure storage latency monitoring, Azure storage throttling detection, Azure TCP connection failures, Azure transaction success rates, Azure user experience metrics, LM Envision Azure metrics, LogicMonitor Azure performance monitoring, monitoring Azure application performance, network latency monitoring Azure, optimizing Azure application performance Cut through Azure’s noise with metrics that drive performance, reduce downtime, and keep your cloud operations running smoothly. This is the third post in our Azure Monitoring series, and this time, we’re focused on performance. As your Azure environment scales, uptime alone doesn’t cut it. You need to know which metrics actually reflect user experience, service health, and business impact. In this blog, we’ll break down the Azure metrics that matter most, so your team can stop firefighting and start optimizing for what truly moves the needle: speed, stability, and real-world performance. Check out the full series. Cloud architectures have evolved beyond basic IaaS deployments, and with thousands of available metrics, CloudOps teams face a familiar challenge: Which ones actually matter? The most effective teams don’t try to monitor everything; they focus on metrics that drive business outcomes. Success comes down to prioritizing performance, user experience, and cost efficiency over raw data collection. Critical Infrastructure Metrics: Beyond Basic Utilization Infrastructure performance is the foundation of any cloud environment. Even minor inefficiencies in CPU, memory, networking, or storage can cascade into larger performance problems that affect user experience and application reliability. Instead of tracking raw utilization numbers, teams need to look deeper at the patterns and bottlenecks that truly impact performance. CPU Performance: Why Context Matters More Than Percentages It’s easy to assume high CPU usage means trouble, but that’s not always true. In fact, keeping CPU artificially low can be a sign that you’re overpaying for underused capacity. What really matters is how CPU behaves over time and under load. Use percentile-based metrics (P95, P99) to spot sustained... --- > Azure monitoring fails when it doesn't evolve with your infrastructure. From static alerts to disconnected metrics, these four critical pitfalls undermine cloud reliability—and how advanced observability resolves them before they impact your services. - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/4-azure-monitoring-pitfalls - Categories: Blog, Cloud Computing - Tags: azure Azure monitoring fails when it doesn't evolve with your infrastructure. From static alerts to disconnected metrics, these four critical pitfalls undermine cloud reliability and how advanced observability resolves them before they impact your services. This is the seventh blog in our Azure Monitoring series, which focuses on common pitfalls that CloudOps teams encounter. Even with the right metrics and tools in place, monitoring strategies often fail due to oversight, static configurations, and alert fatigue. We'll explore the most frequent monitoring mistakes in Azure environments and practical solutions to address them before they lead to downtime, unnecessary costs, and security risks. Check out the full series. Azure environments don’t sit still. New services spin up, workloads shift, and dependencies evolve more often than monitoring strategies can keep pace. Even experienced CloudOps teams run into issues when configurations stay static, thresholds go stale, or alert fatigue sets in. The result is downtime, frustrated users, and missed opportunities to improve service health. In this blog, we’ll break down four of the most common Azure monitoring pitfalls and how to fix them before they impact performance, cost, or customer experience. Pitfall 1: Monitoring That Doesn’t Evolve with Your Environment “Set it and forget it” doesn’t work in the cloud. Many teams set monitoring during initial deployments but don’t evolve alerts, dashboards, or thresholds as environments scale, workloads shift, or new services appear. Over time, gaps silently expand, allowing unnoticed failures to occur. How to Fix It Good monitoring needs to evolve alongside your infrastructure: Automate discovery: Automatically monitor new resources as soon as they're deployed. Review coverage regularly: Continuously compare monitored resources against actual infrastructure inventories. Integrate monitoring with deployments: Embed monitoring checks within your Infrastructure as Code... --- > Correlating Azure metrics reveals what siloed dashboards miss—uncover root causes, cut through noise, and drive smarter decisions. - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/azure-metrics-correlate-performance-cost-security - Categories: Blog, Cloud Computing - Tags: azure Correlating Azure metrics reveals what siloed dashboards miss—uncover root causes, cut through noise, and drive smarter decisions. This is the sixth blog in our Azure Monitoring series, focusing on correlation strategies. Tracking individual metrics for performance, cost, and security is useful, but the real value comes from connecting them. We'll explore practical correlation techniques that elevate your Azure monitoring from basic data collection to true observability. Missed our earlier posts? Check out the full series. Tracking performance, cost, and security individually is helpful, but connecting them reveals what’s really happening. That’s where observability goes from noise to insight. I’ve worked with CloudOps teams across industries, and one thing holds true: correlation turns scattered metrics into clear, actionable stories. When teams connect the dots, they stop chasing isolated alerts and start solving problems faster, optimizing more effectively, and making smarter decisions that actually move the business forward. Cross-Metric Analysis: Finding Hidden Connections Monitoring performance, cost, and security separately only gets you so far. The real insights come from connecting these metrics to uncover patterns you wouldn’t see otherwise. When you correlate data across these areas, you can spot inefficiencies, predict issues before they escalate, and make smarter decisions about scaling, security, and spending. Performance-Cost Correlations Looking at performance and cost together can reveal opportunities to optimize your Azure environment that might not be obvious when viewed separately: Cost-per-performance unit: Measure how much you're paying for each unit of performance, whether it’s per transaction, per user, or API call. Platforms like LogicMonitor Envision can correlate resource performance with Azure billing data so teams can understand whether higher spend is... --- > Cloud complexity exposes the cracks in traditional Azure monitoring. Learn how service-aware observability helps teams cut through alert noise, control costs, and stay ahead of failures at scale. - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/5-challenges-monitoring-azure-at-scale - Categories: Blog, Cloud Computing - Tags: Azure alert fatigue solutions, Azure API monitoring strategies, Azure container monitoring best practices, Azure cross-environment visibility, Azure data volume monitoring problems, Azure monitoring and cloud costs, Azure monitoring cost management, Azure monitoring data retention strategies, Azure monitoring performance vs cost, Azure monitoring problems, Azure monitoring service sprawl, Azure multi-cloud monitoring challenges, Azure multi-region monitoring issues, Azure observability service context, Azure observability vs monitoring, Azure services monitoring at scale, Azure SQL monitoring challenges, challenges monitoring Azure at scale, cloud-native monitoring Azure, ephemeral workloads Azure monitoring, LM Envision Azure monitoring, LogicMonitor Azure observability, monitoring AKS clusters, monitoring Azure hybrid environments, monitoring ephemeral resources in Azure, service-aware observability Azure Cloud complexity exposes the cracks in traditional Azure monitoring. Learn how service-aware observability helps teams cut through alert noise, control costs, and stay ahead of failures at scale. This is the second post in our Azure Monitoring series. This time, we’re tackling what breaks when Azure scales and why traditional monitoring can’t keep up. From alert storms to ballooning data costs, we’ll show you what to watch for, where visibility falls apart, and how service-aware observability keeps your team ahead of the chaos. Read the full series. Most teams start their Azure journey with a handful of virtual machines and some basic dashboards. But cloud complexity doesn’t grow linearly—it compounds. Suddenly, you’re managing hundreds of interconnected services, spanning regions, clouds, and tools. And what used to be a straightforward monitoring setup starts to crack under pressure. You’re not just chasing metrics anymore. You’re trying to understand how one failing component ripples across services, impacts users, and drives up costs. The problem isn’t lack of data. It’s lack of context. Traditional tools weren’t built for this level of complexity. They can’t track ephemeral workloads. They miss cross-service dependencies. And they definitely don’t tell you which incident is going to hit your bottom line hardest. This is where modern observability steps in. It’s not about watching servers anymore. It’s about monitoring services. It’s about connecting metrics, events, logs, and traces to the outcomes that matter: uptime, performance, and cost efficiency. 1. Azure Services Multiply Faster Than Your Monitoring Can Keep Up Azure has over 200 services, and each one adds complexity. Everything is interconnected. A single application request can touch a dozen different services, and if your monitoring can’t automatically... --- > Struggling to make sense of your Azure monitoring data? This blog breaks down why observability is the missing link—and how it helps CloudOps teams stay ahead of issues in dynamic environments. - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/azure-monitoring-vs-cloud-observability - Categories: Blog, Cloud Computing - Tags: auto-remediation in Azure environments, Azure Active Directory security monitoring, Azure AD login monitoring, Azure alerting best practices, Azure anomaly detection monitoring, Azure backup and recovery monitoring, Azure backup coverage monitoring, Azure billing monitoring, Azure cost dashboards with LogicMonitor, Azure cost optimization monitoring, Azure environment monitoring strategies, Azure hybrid cloud monitoring, Azure monitoring alert tuning, Azure monitoring automation, Azure monitoring cost savings, Azure monitoring dashboards, Azure monitoring with LogicMonitor, Azure performance metrics to monitor, Azure resource discovery automation, Azure resource tagging for cost tracking, Azure SQL database monitoring, Azure VM monitoring best practices, best practices for Azure monitoring, hybrid cloud observability, LM Envision Azure setup, LogicMonitor Azure integration Struggling to make sense of your Azure monitoring data? This blog breaks down why observability is the missing link and how it helps CloudOps teams stay ahead of issues in dynamic environments. This is the first blog in our Azure Monitoring series. We’re kicking things off by breaking down the real difference between monitoring and observability—why it matters, where Azure Monitor falls short, and how CloudOps teams can close the gap to move faster, troubleshoot smarter, and stay ahead of issues at scale. Want more? Check out the full series. Imagine your critical application suddenly slowing down. You check your Azure monitoring dashboards, CPU utilization, memory usage, and network throughput, and they all appear normal. Yet, users report major latency issues. This is the reality of modern cloud operations: a flood of data but limited insights into the real root cause. Cloud environments generate millions of data points every minute. A microservices-based architecture with hundreds of services and metrics can quickly lead to what’s known as cardinality explosion, making traditional monitoring expensive and often ineffective. The Differences Between Monitoring and Observability Ever had that frustrating experience where your alerts show everything's fine, but users are complaining your application is crawling? That's the gap between monitoring and observability. Monitoring tells you something’s broken. Observability shows you why. FeatureMonitoringObservabilityPurposeWatching specific health metrics you already know aboutGiving you the full picture so you can figure out what's really going wrongData SourcesMostly metrics, some logsEverything: metrics, events, logs, traces all working togetherApproachSets static alarm thresholdsConnects signals to uncover root cause and contextReaction TimeAfter things break - "Hey, your site is down! "Before things break - "This pattern looks suspicious... "Example“Server XYZ is at 100% CPU! ""Your... --- - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/control-optimize-azure-costs - Categories: Blog, Cloud Computing Azure cost tools fall short. See how LogicMonitor delivers real-time insights and smarter savings without sacrificing performance or visibility. This is the ninth post in our Azure Monitoring series, and it’s all about taking control of your cloud costs without losing visibility. We’ll unpack why Azure bills tend to spiral, where native tools fall short, and what it really takes to cut spend while keeping performance on point. You’ll walk away with practical ways to spot waste early, act fast, and stay ahead of surprise invoices. Missed the earlier posts? You can catch up anytime. Cloud costs have a way of creeping up, often without warning. In fact, 69% of organizations exceeded their cloud budgets in 2023 . One month, spending looks predictable. The next, an unexpected charge appears, unused resources running 24/7, misconfigured instances scaling up unnecessarily, or storage costs ballooning due to poor tiering decisions. These issues make it harder for teams to invest in innovation. For many organizations, the challenge is reducing cloud costs without losing visibility into performance and security. Cutting the wrong resources or limiting monitoring to save money can create blind spots that lead to downtime, performance bottlenecks, and security risks. With Cost Optimization in LogicMonitor Envision, teams don’t have to choose between cost control and operational insight. Instead of reactive cost-cutting, LogicMonitor provides real-time intelligence, automated optimization, and proactive anomaly detection to reduce spending without sacrificing visibility. Why Azure Costs Are Hard to Control Azure includes native tools, like Cost Management and Advisor, to track spending, but they’re not designed for proper cost optimization. Azure’s goal isn’t to help you spend less.... --- > Eliminate monitoring tool chaos in your multi-cloud environment. Find out how consolidating your monitoring approach can reduce alert fatigue, speed up troubleshooting, and lower costs across Azure and beyond. - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/consolidate-azure-multi-cloud-monitoring-tool-sprawl - Categories: Blog, Cloud Computing Find out how consolidating your monitoring approach can reduce alert fatigue, speed up troubleshooting, and lower costs across Azure and beyond. This is the eighth blog in our Azure Monitoring series, focusing on monitoring tool sprawl. As your cloud footprint grows, you will likely end up with a patchwork of monitoring tools that create more problems than they solve. We'll explore why this happens, the headaches it causes, and practical ways to consolidate without sacrificing visibility. Missed our earlier posts? Catch up. The larger your cloud footprint becomes, the more monitoring tools start to accumulate. What starts as a quick fix—covering a blind spot here, adding visibility there—can quickly turn into chaos: disconnected dashboards, alert fatigue, and overlapping costs. In this blog, we’ll break down what causes tool sprawl, why it slows teams down, and how to consolidate your monitoring without losing visibility. Why Monitoring Tools Multiply and Why That’s a Problem Legacy Tools Can’t Keep Up Traditional monitoring solutions weren't built for today’s dynamic Azure and multi-cloud environments. These legacy tools struggle with: Integrating deeply with Azure’s APIs and ephemeral resources. Providing comprehensive visibility into Kubernetes clusters. Handling dynamic auto-scaling and containerized workloads. Capturing custom metrics and correlating them across diverse environments. As teams try to fill these gaps, new specialized tools pile up, each promising better visibility but collectively causing fragmentation. Operational Chaos from Monitoring Fragmentation Even within the same organization, different technical teams gravitate toward specialized tools that address their specific domains. Infrastructure teams typically rely onDevOps teams focus on cloud-native monitoring approachesSpecialized teams bring their own monitoring requirements- A monitoring platform for network monitoring and topology mappingSNMP... --- > Metrics show symptoms. Events, logs, and traces reveal the cause. Discover why complete observability is essential for Azure monitoring and faster issue resolution. - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/metrics-events-logs-traces-essential-azure-monitoring-troubleshooting - Categories: Blog, Cloud Computing Metrics show symptoms. Events, logs, and traces reveal the cause. Discover why complete observability is essential for Azure monitoring and faster issue resolution. This is the tenth blog in our Azure Monitoring series, and it’s all about what metrics miss. We’ll break down why teams need more than CPU graphs to troubleshoot effectively and how events, logs, and traces work together to expose what’s really going on behind those “all green” dashboards. Missed our earlier posts? Check out the full series. "Everything’s green—so why isn’t it working? " If you’ve ever stared at a perfectly healthy Azure dashboard while users flood the help desk with complaints, you’re not alone. Metrics might say everything’s fine, but without the full picture, you’re left guessing. This is the tenth blog in our Azure Monitoring series. We’re digging into why metrics-only monitoring doesn’t cut it anymore, and what your team actually needs to troubleshoot complex environments faster and smarter. When Metrics Lie Let’s go back to that stuck dashboard. A financial services ops team saw normal CPU, memory, and network usage. But customers couldn’t complete transactions, and no one knew why. After three weeks of finger-pointing, they found it: a missing database index. That config change went live just before the failures started—but without logs, traces, or event context, it stayed invisible. Here’s the truth: metrics only tell you what’s happening. They rarely tell you why. And that’s a problem when the clock is ticking. According to 2024 data, 82% of IT teams reported an MTTR of over one hour for production incidents, up from 74% the year prior (and dramatically higher than 47% back in 2021)... --- > Tired of alert overload and missed issues? See how LogicMonitor Envision solves Azure Monitor’s gaps with smarter visibility, cost control, and automation. - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/solving-azure-monitoring-limitations - Categories: Blog, Cloud Computing Tired of alert overload and missed issues? See how LogicMonitor Envision solves Azure Monitor’s gaps with smarter visibility, cost control, and automation. This is the eleventh blog in our Azure Monitoring series. We'll show you how LogicMonitor Envision overcomes Azure Monitor's limitations that leave many CloudOps teams drowning in alerts, blind spots, and constant firefighting. We'll cover LogicMonitor's key capabilities and share real customer success stories. Missed our earlier posts? Check them out. CloudOps teams managing Azure environments frequently hit a wall with native monitoring tools. Last month, a network operations manager at a healthcare provider told me, This frustration reflects a common reality: basic monitoring metrics don't translate to actionable intelligence. While Azure Monitor provides fundamental visibility into resource health, growing organizations need more comprehensive capabilities to maintain performance, control costs, and ensure reliability across complex environments. LogicMonitor Envision fills these gaps without making you abandon your existing Azure investments. Our platform maps every alert, metric, and anomaly back to the service it impacts, so you can focus on fixing what matters, not chasing noise. We covered Azure Monitor's limitations in an earlier blog in this series. But now, let's look at how LogicMonitor provides the capabilities that CloudOps teams actually need to get their jobs done. Unified Monitoring That Maps to Business Impact LM Envision brings together metrics, events, logs, and traces from Azure, AWS, GCP, and on-prem systems—all in a single, normalized view. But more importantly, it binds that telemetry to the services those systems support. That means every alert is tied to a business outcome. Is your VM under pressure? Sure, but more importantly, is it supporting your... --- - Published: 2025-05-08 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/best-practices-azure-environments-lm-envision - Categories: Blog, Cloud Computing Make Azure monitoring work smarter. Follow 8 proven best practices to improve visibility, reduce alert noise, cut costs, and stay ahead of issues with LM Envision. This is the twelfth blog in our Azure Monitoring series, focusing on the practical implementation of LogicMonitor Envision. Having a powerful observability platform is just the first step; getting the most out of it means configuring it correctly. We’ll walk you through eight real-world best practices CloudOps teams use to master Azure monitoring, covering everything from automated discovery to alert tuning, cost optimization, and automation. Missed our earlier posts? Check out the full series. Cloud monitoring isn’t getting easier. As Azure environments grow, so does the complexity: new services, hybrid stacks, sprawling resource groups, security blind spots, runaway costs—you name it. And while LogicMonitor Envision gives you the right tools to stay on top of it all, success isn’t automatic. Smart teams take a service-oriented approach, aligning an observability strategy to the outcomes that actually matter: uptime, performance, security, and cost control. Here’s how to set yourself up for success—and skip the common pitfalls. 1. Automate Resource Discovery If you're still manually adding Azure resources to monitoring, you're already behind. LM Envision can auto-discover resources the moment they spin up, and map them directly to the services they support. Enable automated discovery: Configure LM Envision to find all Azure resources using the Azure API automatically. This way, new services get monitored as soon as they're provisioned. Use resource groups: Match LM Envision's monitoring with your existing Azure resource groups. Why reinvent the wheel when you can keep the same structure? Use tag-based monitoring: Configure LM Envision to inherit Azure resource... --- > Discover how Chemist Warehouse cut IT alert noise by 88% with AI-powered observability. Join their live webinar on May 1 to learn how they streamlined operations across 600+ stores using proactive monitoring and automation. - Published: 2025-05-07 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/resource/cutting-through-the-noise-a-retailers-ai-journey-to-88-fewer-alerts - Categories: On-demand Webinar, Resources - Tags: Edwin AI customer stories Discover how Chemist Warehouse cut IT alert noise by 88% with AI-powered observability. Join their live webinar on May 1 to learn how they streamlined operations across 600+ stores using proactive monitoring and automation. Discover how Chemist Warehouse transformed IT operations with AI-powered observability. Join Jesse Cardinale, IT Infrastructure Lead at Chemist Warehouse, and Caerl Murray, Regional VP at LogicMonitor, for a deep dive into how Australia’s largest pharmacy retailer tackled infrastructure complexity, eliminated alert noise, and unlocked faster incident resolution across a globally distributed retail environment. What you’re guaranteed to learn: The unique IT challenges of operating 600+ stores across Australia, New Zealand, Ireland, Dubai, and China How Chemist Warehouse achieved an 88% reduction in alert noise with Edwin AI, freeing engineers to focus on innovation instead of firefighting Why a single pane of glass transformed their service delivery, from point-of-sale to pharmacy compliance The cultural and operational shift to AI-assisted monitoring—and how Chemist Warehouse built team buy-in If you’re in IT operations, infrastructure, or retail technology, this event offers practical insight into adopting AI Ops—not as a silver bullet, but as a strategic enabler for your team. You’ll hear how proactive monitoring, correlation, and automation drove real-world results for one of APAC’s most recognizable brands. --- > Less noise. Faster answers. Fewer fire drills.In about 4 minutes, you’ll see how Edwin pinpoints the problem and shows you exactly what to do next. - Published: 2025-05-06 - Modified: 2025-05-06 - URL: https://www.logicmonitor.com/demo/edwin-ai-demo-experience - Categories: Demo, Resources - Tags: aiops Less noise. Faster answers. Fewer fire drills. In about 4 minutes, you’ll see how Edwin pinpoints the problem and shows you exactly what to do next. window. location. replace("https://www. logicmonitor. com/edwin-ai-demo-experience"); --- > LogicMonitor and ServiceNow work together to deliver a unified, AI-powered ITOps experience—linking observability with AI workflows for better operations. - Published: 2025-05-06 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/logicmonitor-servicenow-agentic-ai-ops-integration - Categories: Blog, IT Operations, Monitoring & Observability - Tags: Edwin AI, More Edwin AI LogicMonitor and ServiceNow work together to deliver a unified, AI-powered ITOps experience—linking observability with AI workflows for better operations. Modern ITOps leaders face rising pressure to resolve incidents faster, reduce manual toil, and meet ever-tighter SLAs. But too often, ITOps leaders are juggling numerous disconnected tools, each providing only a narrow slice of the operational picture. LogicMonitor and ServiceNow are tackling this challenge with a unified view of observability and workflows. Together, we bring AI agents into ITOps—Edwin AI on the observability side, Now Assist on the workflow side—designed to exchange information and drive action. Metrics, events, logs, and traces flow in from LogicMonitor; ServiceNow turns that context into tickets, tasks, or fully automated fixes.   The result is agentic AIOps in production: AI that links observability with service workflows to accelerate response and reduce manual effort. In this blog, we will: Expose the gaps in legacy ITOM and share how LogicMonitor + ServiceNow fills them Detail the integration as it exists today Outline the roadmap toward bidirectional AI and self-healing workflows Where Traditional ITOM Falls Short—and What LogicMonitor Adds There are four key gaps that the LogicMonitor + ServiceNow integration addresses. ServiceNow’s workflows move tickets from “open” to “done,” but they don’t always bring along the data that explains why the ticket exists. LogicMonitor supplies that missing context and adds a layer of AI tuned for operations. The result is a stack that covers four common pain points: First, there’s the observability gap. Troubleshooting needs metrics, events, logs, traces (MELT), and a live map of how systems connect. LogicMonitor streams MELT data and system topology directly into ServiceNow,... --- > Your second mission–should you choose to accept it–is to see AI-driven observability live in action. You will watch how your very own AI agent goes to work cutting through alert noise, pinpointing root causes, making proactive recommendations, and beginning to take action on those recommendations–with your authorization, of course. - Published: 2025-05-06 - Modified: 2025-06-27 - URL: https://www.logicmonitor.com/resources/mission-ai-possible-the-sequel - Categories: On-demand Webinar, Resources Your second mission–should you choose to accept it–is to see AI-driven observability live in action. You will watch how your very own AI agent goes to work cutting through alert noise, pinpointing root causes, making proactive recommendations, and beginning to take action on those recommendations–with your authorization, of course. Discover how AI powers faster incident response. Your mission briefing is now available, on demand. In this session, LogicMonitor’s Senior Solutions Engineer, James House and Edwin AI Consultant, Adam Jacobs demonstrate how LogicMonitor’s AI agent cuts through alert noise, pinpoints root causes, and guides IT teams toward faster, smarter resolutions. What you’ll see: How AI reduces alert fatigue and streamlines incident response A consultative approach for identifying inefficiencies in IT incident resolution How to access your complimentary AIOps business process consultation Whether you’re looking to sharpen your incident resolution practices or explore AI-driven observability, this session is packed with practical insights. --- > A practical look at how to manage sensitive data like PII and PHI in LM Logs, with clear best practices for log sanitization, access control, and retention. - Published: 2025-05-06 - Modified: 2025-05-08 - URL: https://www.logicmonitor.com/blog/how-to-handle-sensitive-data-lm-logs - Categories: Blog, IT Operations, Monitoring & Observability A practical look at how to manage sensitive data like PII and PHI in LM Logs, with clear best practices for log sanitization, access control, and retention. When things break, your logs should help you fix issues, not pile on a compliance headache. But if there’s user-specific data in the mix, especially in industries like healthcare or finance, things get complicated fast. The good news is that you can still get the visibility you need without compromising privacy. Let’s walk through how to handle Personally Identifiable Information (PII) and Protected Health Information (PHI) in LM Logs so your team can troubleshoot smarter and safely. What Kind of Logs Are We Talking About? Not all logs are equal when it comes to compliance risk. LM Logs is built to help you troubleshoot metric-based alerts. It automatically aligns relevant logs with alert timelines so you can get to the root cause faster. That’s why the most valuable logs for LM Logs are: System logs OS logs Device and application logs Syslog data These logs are typically used for performance monitoring and system diagnostics. For example, a system log might capture a configuration change right before an alert fired, giving you a clear trail to investigate. We've seen teams identify a misapplied patch or a service that restarted unexpectedly without needing to dig through unrelated user data. They rarely contain Personally Identifiable Information or Protected Health Information. Where things get tricky is with custom application logs. These can contain user-specific data (like login info, transaction IDs, or even health or financial information) depending on what your dev teams choose to log. How to Identify Personally Identifiable Information and Protected Health... --- > Agentic AIOps is redefining IT operations. Discover why modular, agent-driven architectures like Edwin AI are the future of ITOps. - Published: 2025-05-05 - Modified: 2025-05-05 - URL: https://www.logicmonitor.com/blog/agent-driven-aiops-is-defining-future-of-it-operations - Categories: Blog, IT Operations - Tags: Edwin AI, More Agentic AIOps Agentic AIOps is redefining IT operations. Discover why modular, agent-driven architectures like Edwin AI are the future of ITOps. AIOps is overdue for reinvention. The last decade promised faster resolution and smarter alerts—but most tools are still built on outdated assumptions: linear workflows and deterministic rules. Now, a new model is emerging. Not reactive. Not rule-based. Agentic. Agentic AIOps is about taking action. Products like LogicMonitor’s Edwin AI go beyond recommendations—they correlate, decide, and remediate in real time. Yet major voices reflect the industry’s lag, still framing AIOps maturity around deterministic automation and tool consolidation. These voices treat checklist functionality as innovation, and overlook what actually matters: whether a system can reason, act, and evolve. That’s a view rooted in outdated assumptions and legacy thinking. Where others measure breadth, Agentic AIOps is defined by architecture. It moves beyond consolidation to enable real-time coordination, using modular, task-specific agents that adapt and learn from every outcome. Here are five shifts that define Agentic AIOps and explain why legacy systems can’t fake it: Embedded Intelligence: Autonomy is built into the system’s core architecture. Modular Agents: Lightweight, task-specific agents replace heavyweight, monolithic AIOps platforms.   Workflow-Level Integration: Insights trigger actions directly inside existing products. Operational Autonomy: These systems remediate, escalate, and learn from every outcome to improve next time. Natural Interaction: Users interact conversationally and start with context, not a blank slate. Let’s look at why agentic AIOps is the architecture that finally delivers on the promises AIOps has made for years. 1. Designed to alert → Built for autonomy Legacy AIOps platforms were never designed to act. Most of these older AIOps... --- > How can your team effectively manage your log tool if you don’t know how to search and find the right data to analyze? Find out! - Published: 2025-05-01 - Modified: 2025-05-29 - URL: https://www.logicmonitor.com/blog/no-query-no-problem-how-lm-logs-is-built-for-everyone - Categories: Best Practices, Blog, News and Development - Tags: log monitoring, logs, logs, reduce mttr How can your team effectively manage your log tool if you don’t know how to search and find the right data to analyze? Find out! When you’re staring down 180GB of logs a day across dozens of servers, trying to figure out what went wrong and where, the last thing you want to do is spend hours decoding or understanding a query language you barely know. Getting answers like when a config changed or why a server hit capacity last month, shouldn’t feel like a guessing game. A logging tool isn’t helpful if it assumes you’re a query expert. In fact, most don’t collect logs; they bury the insights in syntax. On the contrary, LM Logs gives you the answers without any queries or delays. Why Traditional Log Tools Fall Short Most log tools were built for engineers fluent in query syntax. But when you’re under pressure to fix a performance issue or trace a misconfiguration, you don’t want to waste time writing queries; you need answers. If your team can’t easily search logs, detect log anomalies, or build meaningful alert rules, you’re flying blind. And when only one person knows the query language, what happens when they’re out? Progress stalls. Knowledge stays siloed. And your team’s effectiveness takes a hit. That’s the problem with traditional log management. It gates insights behind technical know-how. LM Logs removes the gate. Anyone on your team can search, filter, and troubleshoot with zero queries required. LM Logs: Log Analysis That Works for Everyone on Your Team Not everyone has time to master a query language and with LM Logs, they don’t have to. If you’re a seasoned engineer... --- > Learn how to build custom LogicMonitor SNMP DataSources that cut alert fatigue, surface real issues, and give you clean, reliable visibility into your infrastructure. - Published: 2025-05-01 - Modified: 2025-05-15 - URL: https://www.logicmonitor.com/blog/5-tips-for-creating-snmp-datasources-in-logicmonitor - Categories: Best Practices, Blog, Business Education - Tags: datasources, snmp A practical guide to building custom SNMP DataSources in LogicMonitor—without the noise, confusion, or guesswork. LogicMonitor comes with a robust library of pre-built DataSources that automatically monitors hundreds of devices without any manual setup. Just add the device, and you’re up and running. But what if you’re working with something that’s not covered in the LogicMonitor Exchange? If it supports SNMP versions, you can build a custom DataSource to collect exactly the metrics you care about. There’s no one-size-fits-all blueprint here. Every device and every environment is different. But with the right process, you can build SNMP DataSources that are reliable and reduce alert noise instead of adding to it. So let’s see how you can go from “I need visibility into this device” to “I’ve built a reliable, low-noise DataSource that works. ” 1. Figure Out What You Need To Monitor Every custom DataSource starts with a problem you want to catch earlier. Maybe a server’s running out of memory. Maybe a switch port keeps flapping and no one knows until users complain. Your goal is to surface that issue before it turns into an outage. For this, use SNMP DataSources. They let you track what actually matters in your environment, even if it’s not covered. Start by asking: What’s gone wrong (or keeps going wrong)? Could it have been caught earlier? What would I want to be alerted on next time? Some issues give you early signs such as rising CPU temps, repeated error counts, or slow performance. Others, like sudden drive failures, don’t. Either way, knowing the problem helps you build a... --- > Recognizing the difference between incident management and event management ensures that your team can resolve issues faster. Learn more! - Published: 2025-05-01 - Modified: 2025-06-20 - URL: https://www.logicmonitor.com/blog/incident-management-vs-event-management - Categories: Best Practices, Blog, Business Education - Tags: itops Not every IT alert is a crisis. Learn how to separate signal from noise — and why mastering event vs. incident management keeps your systems (and sanity) intact. As you navigate IT event vs incident management, the terms might sound similar, but knowing the difference is key. Your IT teams need to spot the right signals early, whether it’s a harmless event or a red flag that needs immediate attention, so they can keep systems running smoothly. Why does this matter? Understanding when an event becomes an incident helps you respond faster, avoid downtime, and prevent small issues from turning into big problems. It also keeps your team focused on what really matters: delivering a reliable service and a better experience for your customers. In simple terms, IT event management is about monitoring and logging what’s happening across your systems. It’s a passive process that helps you track events and spot patterns over time. Incident management, on the other hand, is active. It kicks in when something breaks unexpectedly, requiring immediate investigation and action to fix the issue and prevent it from happening again. Let’s break these terms down further. What Is an Event? In IT operations, an event is any observable change or occurrence within your systems. It could be something routine, like a user login or an API call, or more technical, like a spike in CPU utilization that doesn’t yet affect performance. By detecting and logging these events, you build a historical record that helps you spot patterns and potential issues before they escalate. Over time, this data becomes critical for identifying trends that could impact system reliability or customer experience. Based on the criticality... --- > Explore Cisco network management solutions for cloud and on-premises setups. Learn which Cisco tools simplify your IT tasks and help managing your infrastructure. - Published: 2025-05-01 - Modified: 2025-05-15 - URL: https://www.logicmonitor.com/blog/a-guide-to-on-premises-and-cloud-based-cisco-networks - Categories: Best Practices, Blog, Business Education - Tags: cisco, Cloud Monitoring, network monitoring, server monitoring, virtual machine monitoring Discover practical guidance, real-world examples, and clear comparisons to simplify managing your Cisco environment—on-prem, cloud-based, or hybrid. Your network does more than move packets — it backs every service your business depends on. And with hybrid environments now the norm, unified visibility is essential. Cisco offers a wide range of infrastructure solutions, but keeping them running smoothly across on-prem and cloud environments requires more than hardware — it requires observability. That’s where LogicMonitor comes in. By integrating with popular Cisco tools, LogicMonitor gives IT teams deeper insight, faster troubleshooting, and smarter automation across their networks — no matter where infrastructure lives. What Are On-Prem Cisco Networks? On-premises infrastructure is built and run inside your own data centers, giving you direct control over hardware, software, and data. While 55% of IT workloads have shifted off-prem, many industries still rely on on-prem solutions for strict data governance, compliance, or low-latency requirements. That’s why Cisco continues to introduce high-performance on-prem tools that support hybrid cloud networks without compromise. Its on-prem lineup includes platforms like ASA for security, ISR for branch connectivity, and UCS for scalable compute (more on these later). Each solution gives IT teams the control and performance they need in hybrid environments. But visibility and control across those systems can still be a challenge. That’s why many IT teams use LogicMonitor alongside Cisco infrastructure to: Get unified observability across cloud, on-prem, and hybrid networks Detect performance issues faster with intelligent alerting and correlation Simplify operations with integrations into Catalyst Center, UCS, UC, and more What Are Top Cloud-Based Cisco Networks? Cloud-based networks host IT infrastructure in remote data... --- > LogicMonitor reflects on several product innovations and accomplishments within LM Logs in 2022, along with how these helped customers. - Published: 2025-05-01 - Modified: 2025-05-23 - URL: https://www.logicmonitor.com/blog/ingesting-and-analyzing-2022-an-lm-logs-success-story - Categories: Blog, News and Development, Opinion - Tags: log ingestion, log monitoring, logs, logs, reduce mttr LogicMonitor reflects on several product innovations and accomplishments within LM Logs in 2022, along with how these helped customers. In just two years, LM Logs has evolved from a foundational observability tool into a powerful engine for faster troubleshooting, smarter alerting, and clearer IT visibility. What began in 2022 as a way to unify logs and metrics inside LogicMonitor’s hybrid observability platform has grown into a key driver of reduced MTTR and operational clarity across hybrid environments. In 2024, we took that vision even further, doubling down on usability, precision, and performance. We introduced behavior-based anomaly detection, expanded log ingestion options, and delivered usage insights to help teams get even more value from their data. But don’t just take our word for it. Real teams are already seeing the results. By cutting through log noise and correlating metrics in context, LM Logs helped organizations reduce time-to-resolution and respond to issues before users were impacted. Here’s what success looks like when logs and metrics work together, without the tab-switching. Where We’ve Come From: LM Logs in 2022 → 2024 Back in 2022, we launched LM Logs with a clear mission: reduce the time it takes Ops teams to find answers. That meant unifying logs and metrics in one platform, surfacing anomalies automatically, and streamlining the messy middle of incident response. We started with the essentials: Unified observability in LM Envision, connecting logs directly to performance metrics Out-of-the-box anomaly detection that flagged deviations in real time Contextual log views that tied alerts to root cause faster In 2023, we built on that momentum with enhancements that made analysis faster and more... --- > Sift through log data to identify hidden trends and stay ahead of issues. Find out more about the power of Query Tracking from LM Logs. - Published: 2025-05-01 - Modified: 2025-06-03 - URL: https://www.logicmonitor.com/blog/lm-logs-query-tracking-find-whats-relevant-now-to-prepare-for-tomorrow - Categories: Best Practices, Blog - Tags: log monitoring, logs, logs24 Sift through log data to identify hidden trends and stay ahead of issues. Find out more about the power of Query Tracking from LM Logs. Log data should provide insights, not bury them. But when you’re overwhelmed by a mountain of messages and noise, it feels impossible to find what matters the most. That’s what LM Logs Query Tracking helps with. Instead of guessing what to look for, or running the same queries over and over, you can now track key log patterns that predict issues before they happen and take action fast. Because when you see clearly, you can lead confidently. This means, you can focus on what’s changing in your environment and act accordingly to reduce the risk.   Query Tracking is now available for all LM Logs customers, making it easier than ever to access the insights that matter most. What Is Query Tracking in LM Logs? Query Tracking in LogicMonitor Logs is like adding a spotlight on the signals that matter most in your log data. Instead of sifting through endless log lines manually or re-running the same searches, you can now track key queries automatically. Each tracked query becomes a metric, visible in your dashboards and ready to trigger alerts the moment something changes. Simply put, it’s a way to shift your team from reactive log analysis (reacting to issues after they appear) to monitoring early change signals, fast and with full confidence. Why Log Spikes (Not Just Messages) Deserve Your Attention Most log messages don’t tell you much on their own. What matters is the sudden surge in how often the pattern shows up. Suppose you usually get a handful... --- > LogicMonitor is proud to announce the addition of dynamic topology mapping to its core monitoring platform. Check out our latest blog post to learn more! - Published: 2025-05-01 - Modified: 2025-05-22 - URL: https://www.logicmonitor.com/blog/an-introduction-to-dynamic-topology-with-logicmonitor - Categories: Best Practices, Blog, Business Education - Tags: itops, topology Explore how dynamic topology helps teams troubleshoot faster, see dependencies clearly, and replace static maps with live, always-updated infrastructure views. Modern infrastructure is anything but static. Between hybrid clouds, containerized apps, and changing service layers, it’s hard to know what’s connected to what or what crashes when something goes down. That’s where dynamic topology comes in. Instead of relying on static diagrams, it maps your infrastructure relationships in real time. This way, IT teams can visualize dependencies and maintain service continuity across complex, distributed environments. In this guide, we’ll break down how dynamic topology works, what to look for in a solution, and where it delivers the most value in daily operations. What Is Dynamic Topology (And Why It Matters) Dynamic topology automatically discovers devices, services, and their relationships across your infrastructure. As resources scale or spin up temporarily, the map updates in real time, giving you full visibility without manual effort. Apart from showing what’s connected, dynamic topology helps understand how systems interact: Which switch sits upstream from that alerting server? How does a failed VM ripple through the storage or application layer? What’s the fastest path to trace a dependency chain? Dynamic network maps answer these questions instantly without you having to jump across dashboards. Compared to static mapping, this real-time infrastructure mapping reduces errors and gives clear insights into what’s really happening in your hybrid or distributed environments. Where It Delivers the Most Value (Use Cases) The idea of dynamic topology isn’t limited to one field. It’s a flexible concept that can be applied across multiple fields. So let’s see major areas where it really pays off:... --- > Network monitoring via web checks and ping checks could improve website uptime and make everyone’s lives a little easier. Learn how! - Published: 2025-05-01 - Modified: 2025-05-15 - URL: https://www.logicmonitor.com/blog/what-are-web-checks-and-ping-checks-why-are-they-important - Categories: Best Practices, Blog, Business Education - Tags: network monitoring, Synthetics Monitoring, website monitoring A ping website test shows if a site is online, but web checks uncover performance problems. See why both are key for seamless user experiences. If your website is slow or down, users don’t wait: they bounce. And with 2 billion websites just a click away, you don’t get many second chances. The same goes for internal systems. When network performance drags, so does productivity. To keep services responsive and prevent downtime, IT teams need more than just alerts after something crashes. That’s where web and ping website checks come in. They give you the visibility to spot issues early, isolate the root cause fast, and keep users from ever noticing there was a problem. What are Web Checks? Web checks simulate real-world interactions with your website to see how it performs both for users on the internet and inside your network. We have two types of web checks: external and internal.   External web checks mimic what a customer or end user would experience. They test whether web services respond correctly and how long that response takes. These checks are run from multiple global locations either set by your team or a third-party monitoring provider like LogicMonitor to measure availability and performance from the outside in. This can include automated HTTP GET, POST, or HEAD requests that run on a schedule. Internal web checks, on the other hand, focus on how your services respond to internal traffic. They’re run by data collectors inside your network to confirm that systems are accessible and performing well for employees or internal users. When used together, internal and external web checks give IT teams a complete view of... --- > LogicMonitor's agentless collection has long provided customers with many benefits for collecting telemetry data directly from network devices. Recently, LogicMonitor added another feature, enabling the discovery of devices/sites and the collection of telemetry data from the Cisco Catalyst Center. Retaining options is essential due to the pros and cons associated with each approach. - Published: 2025-05-01 - Modified: 2025-05-15 - URL: https://www.logicmonitor.com/blog/observability-benefits-of-cisco-catalyst-center-integration - Categories: Blog - Tags: cisco, integrations LogicMonitor's agentless collection has long provided customers with many benefits for collecting telemetry data directly from network devices. Recently, LogicMonitor added another feature, enabling the discovery of devices/sites and the collection of telemetry data from the Cisco Catalyst Center. Retaining options is essential due to the pros and cons associated with each approach. Network teams have never had more devices to manage or more ways to monitor them. In 2024, the number of IoT devices worldwide surpassed 15 billion and it’s projected to double by 2030. As networks grow in scale and complexity, traditional monitoring methods can quickly become inefficient. That’s why LogicMonitor helps simplify device management through agentless collection, pulling telemetry directly from network devices without the overhead of installing agents on each one. Now, there’s an even smarter option: LogicMonitor can also collect data directly from Cisco Catalyst Center. For teams that already rely on Catalyst Center as their source of truth, this integration offers faster discovery, fewer redundant SNMP polls, and reduced strain on devices that weren’t designed for constant polling. In this post, we’ll explore how the integration works, how streaming telemetry fits in, and why it’s a major improvement for monitoring modern, cloud-managed networks. What is Cisco Catalyst Center? Cisco Catalyst Center (formerly DNA Center) is an intent-based network controller designed to centralize configuration, automation, and visibility across Cisco networks. Think of it as mission control for switches, routers, access points, and wireless controllers—especially in enterprise environments.   Instead of touching every device individually, teams use Catalyst Center to manage and monitor everything from a single interface.  Why Streaming Telemetry Beats Traditional Polling SNMP polling has long been the standard for collecting device metrics for decades. But it comes with trade-offs. Polling too frequently adds overhead and stress to devices; polling too slowly means delayed insights. Streaming telemetry... --- > Understand the benefits that the LogicMonitor technical operations team has experienced with LM Logs and how it can directly apply to the log challenges facing today's greater ITOps and DevOps teams. - Published: 2025-05-01 - Modified: 2025-06-20 - URL: https://www.logicmonitor.com/blog/3-ways-ops-teams-benefit-from-lm-logs - Categories: Blog, News and Development - Tags: logs Understand the benefits that the LogicMonitor technical operations team has experienced with LM Logs and how it can directly apply to the log challenges facing today's greater ITOps and DevOps teams. You’ve probably come across the term LM Ops before. Across the web, it’s often tied to machine learning operations or large language model operations (LLMOps). Think model deployment, prompt tuning, and pipeline management. But here at LogicMonitor, LM Ops means something different. It’s about how IT operations teams use our observability platform, specifically LM Logs, to streamline monitoring, speed up troubleshooting, and reduce downtime. So if you're part of an ITOps, DevOps, or SRE team, trying to get better at spotting issues before they snowball? You’re absolutely in the right place. With LM Logs, you don’t have to sift through data blindly. This article digs into how LM Ops helps ITOps, DevOps, or SRE pro cut through noise, identify anomalies in real time, and answer the critical questions: What’s happening, where is it happening, and why? Meet LogicMonitor’s TechOps Team The mission of the TechOps team at LogicMonitor is to build, scale, and maintain a reliable computing platform that provides LogicMonitor service to customers. Their work focuses on two priorities: #1 - Making the customer experience better by improving service availability #2 - Making their co-workers’ jobs easier by scaling or automating processes, actively tuning alerts, and fulfilling requests from other departments The goal is to deliver a reliable LogicMonitor experience for customers, identify potential disruptions before they escalate, stay proactive instead of reactive, and prevent technical debt from piling up. The team also uses LogicMonitor itself to monitor and ensure the smooth operation of LM’s own servers. LM Logs... --- - Published: 2025-05-01 - Modified: 2025-06-20 - URL: https://www.logicmonitor.com/blog/alb-vs-elb - Categories: Best Practices, Blog, Business Education - Tags: AWS, container monitoring, network monitoring Learn about load balancers, as well as the key similarities and differences between ALB and ELB. Choosing between Application Load Balancer (ALB) and Elastic Load Balancer (ELB) can feel confusing when you're trying to balance modern app demands with cloud simplicity. Why? Because ELB is both a general term and a legacy option, while ALB is purpose-built for scalable, microservice-driven environments. Organizations that switch to ALB see improved routing efficiency and better resource utilization across distributed workloads.   In this article, we’ll compare ALB vs ELB, when to use each, and how to avoid Quick Comparison Table – ALB vs ELB at a Glance FeatureALBELB (Classic)OSI LayerLayer 7 (Application)Layer 4 (Transport)Routing MethodsHost, Path, Query StringIP Address, Port OnlyProtocol SupportHTTP, HTTPS, WebSockets, HTTP/2TCP, SSLTarget TypesEC2, Containers, Lambda, IPEC2, IPSecurity FeaturesAWS WAF, Shield, SNISSL Termination OnlyMonitoringDetailed Access Logs, CloudWatchBasic Metrics, CloudWatchUse CasesMicroservices, APIs, Modern AppsLegacy Applications What Is a Load Balancer and Why Does It Matter? Let’s say you’re running a growing e-commerce website. You have a homepage, product listings, a checkout service, and an admin dashboard—all hosted across multiple servers. A sudden traffic spike during a flash sale could overload your checkout service while your homepage remains fine.   In AWS environments, the right load balancers manage this chaos by routing each request to the appropriate server group to avoid delays and downtime. To do so, they use algorithms—like round-robin or least response time—which helps decide where each request should go. But without a load balancer, even a small surge in user requests could cause bottlenecks and poor user experience like customers getting stuck at the checkout... --- > At Elevate Community Conference 2025, LogicMonitor Shares Recent Innovations in Agentic AIOps, Celebrates New Partnerships, and Highlights Industry Accolades that Cement Its Leadership in AI-Powered Observability - Published: 2025-04-30 - Modified: 2025-04-30 - URL: https://www.logicmonitor.com/press/logicmonitor-strengthens-ai-powered-observability-leadership-with-agentic-aiops-innovations-and-strategic-partnerships - Categories: Press, Press Release - Tags: agentic AIOps, AI, Business innovation, observability for AI, press, strategic service provider At Elevate Community Conference 2025, LogicMonitor Shares Recent Innovations in Agentic AIOps, Celebrates New Partnerships, and Highlights Industry Accolades that Cement Its Leadership in AI-Powered Observability At Elevate Community Conference 2025, LogicMonitor Shares Recent Innovations in Agentic AIOps, Celebrates New Partnerships, and Highlights Industry Accolades that Cement Its Leadership in AI-Powered Observability DALLAS, Texas – April 30, 2025 – LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today shared from its annual Elevate Community Conference a series of significant milestones achieved in the first half of 2025. Together with customers, partners, IT leaders, and industry analysts at its Elevate Community Conference 2025, LogicMonitor is showcasing the latest innovations in Agentic AIOps, new strategic partnerships, and insights on the future of AI-Powered Observability.   Driving Data Center Transformation with AI Innovation LogicMonitor recently introduced new AI-driven enhancements to its platform, including important advances in Agentic AIOps within Edwin AI, the AI Agent for IT Ops. These recent innovations empower IT teams with full visibility into AI workloads and applications, enhancing automation, intelligence, and insights for seamless performance across complex modern data centers.   Expanding Global Partnerships LogicMonitor significantly expanded its strategic partner ecosystem in the first half of 2025 with several partnerships and an enhanced global partner program. Amazon Web Services (AWS): LogicMonitor signed a Strategic Collaboration Agreement with AWS to simplify VMware migration journeys and accelerate data center modernization for enterprises. OpenAI: Through a strategic collaboration with OpenAI, LogicMonitor supercharged its platform with cutting-edge AI models, delivering smarter automation and unlocking next-level operational efficiency. GIEOM: LogicMonitor partnered with GIEOM, a leader in digital governance solutions, to bolster operational resilience within the highly regulated financial... --- > Companies on the Inc. Regionals: Pacific list had a median growth rate of 124 percent. - Published: 2025-04-25 - Modified: 2025-05-22 - URL: https://www.logicmonitor.com/press/logicmonitor-named-to-inc-s-2025-list-of-the-fastest-growing-private-companies-in-the-pacific - Categories: Press, Press Release Companies on the Inc. Regionals: Pacific list had a median growth rate of 124 percent. Companies on the Inc. Regionals: Pacific list had a median growth rate of 124 percent. Santa Barbara, CA, April 25, 2025 – LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced that it has been named to the fifth annual Inc. Regionals: Pacific list, the most prestigious ranking of the fastest-growing private companies in the Pacific, which includes California, Oregon, Washington, Hawaii, and Alaska. An extension of the national Inc. 5000 list, the Regionals offer a unique look at the most successful private companies within the Pacific economy. “It is an honor to be recognized by Inc. for LogicMonitor’s contributions as a high-growth private company based in the Pacific US,” said Brooke Cunningham, Chief Marketing Officer LogicMonitor. “As recent investments, partnerships, and innovations have shown, LogicMonitor has become a trusted, strategic partner of CIOs around the world who are challenged with navigating the increased complexity of the modern data center. We are uniquely positioned with our AI-powered hybrid observability solution to deliver the performance, cost savings, and sustainability that drive business outcomes for our customers. ” The companies on this list show a remarkable rate of growth across all industries in the Pacific. Between 2021 and 2023, these 142 private companies had a median growth rate of 124 percent; by 2023, they’d also added 7,947 jobs and $5. 6 billion to the region’s economy. Complete results of the Inc. Regionals: Pacific, including company profiles, can be found at https://www. inc. com/regionals/pacific. You’ll also find an interactive database... --- > Both Quarkus and Spring are big contenders as microservice application development tools, but which should you pick? See the key differences! - Published: 2025-04-23 - Modified: 2025-05-15 - URL: https://www.logicmonitor.com/blog/quarkus-vs-spring - Categories: Best Practices, Blog, Business Education, Engineering - Tags: container monitoring, engineering, kafka, kubernetes, quarkus, server monitoring Both Quarkus and Spring are big contenders as microservice application development tools, but which should you pick? In modern application development and architecture, there has been a big push from monolithic, large applications that can do everything a product needs to many smaller services with a specific purpose. This onset has brought on the age of microservice frameworks (micro-frameworks) to make it easier to prototype, build, and design applications in this paradigm. When looking at Quarkus vs. Spring Boot, each offers unique strengths to help you accomplish your goals as a microservice application developer, but which should you pick? Quarkus vs. Spring Boot: What’s the Difference? If you're weighing up Quarkus vs. Spring Boot, it really comes down to what you're building and where it's running. Quarkus is built for cloud-native environments with fast startup times, low memory footprint, and smooth Kubernetes integration. Spring Boot is the tried-and-true workhorse for enterprise apps. It gives you a ton of out-of-the-box functionality, strong community support, and an easier ramp-up if you're already in the Spring ecosystem. What is Quarkus? Quarkus is a Kubernetes-Native Java framework tailored for GraalVM and HotSpot, crafted from best-of-breed Java libraries and standards. The goal of Quarkus is to make Java a leading platform in Kubernetes and serverless environments. It also offers developers a unified reactive and imperative programming model to address a wider range of distributed application architectures optimally. Some notable features of Quarkus include: Live coding: Quarkus offers a development mode that enables live coding, allowing developers to change their code and see the results instantly without restarting the application. This feature significantly... --- > Garbage collection is the process of reclaiming unused run-time memory automatically. This means developers can create new objects without worrying about memory allocation and deallocation since unused objects are destroyed automatically. Learn more! - Published: 2025-04-23 - Modified: 2025-05-15 - URL: https://www.logicmonitor.com/blog/garbage-collection-in-java - Categories: Best Practices, Blog, Business Education - Tags: APM, automation, Digital Transformation, logs Garbage collection is the process of reclaiming unused run-time memory automatically. This means developers can create new objects without worrying about memory allocation and deallocation since unused objects are destroyed automatically. Learn more! Garbage collection in Java automatically reclaims memory by removing objects no longer used by a program. This process helps prevent memory leaks, improves performance, and frees developers from managing memory manually.   Garbage collection is a familiar term in the coding world. You will come across it when learning the Java programming language. Because it’s built into Java memory management, the garbage collector is one of Java’s crucial features. It helps prevent serious errors and allows programmers to create new objects without worrying about unwanted objects. However, since the background thread that performs garbage collection (GC) runs at unpredictable times, it can reduce an application's performance or slow it down, causing unnecessary delays. Because of this impact on performance, developers need to clearly understand the right garbage collector to use to avoid being held back when executing a program. This article gives an in-depth description of what garbage collection in Java entails. It also includes the major benefits of garbage collection and a simple explanation of how it works to help developers and administrators have an easier time using it in their applications. Contents What Is Garbage Collection? What Are the Advantages of Garbage Collection? How Does Garbage Collection Work in Java? Generational Garbage Collection Garbage Collection Activities Unreferenced Objects How Can an Object Be Unreferenced? Garbage Collection Roots Types of Garbage Collectors in the Java Virtual Machine Java Memory Management What Is JVM Memory Structure? Conclusion What is Garbage Collection? Garbage collection is the automated process of reclaiming unused... --- > Too many trap alerts and not enough time? See how one enterprise cleaned up 1,600 noisy rules, saved 26 hours, and made their move to LogicMonitor way smoother. - Published: 2025-04-22 - Modified: 2025-04-22 - URL: https://www.logicmonitor.com/blog/one-enterprise-reduced-trap-alerts-saved-hours-during-migration - Categories: Blog, Monitoring & Observability - Tags: alert fatigue, alert noise reduction, alert rule consolidation, enterprise monitoring, IT alert management, legacy monitoring cleanup, log monitoring, LogicMonitor migration, monitoring strategy, network operations, observability best practices, onboarding optimization, root cause analysis, ServiceNow integration, SNMP trap alerts, trap and log correlation Too many trap alerts and not enough time? See how one enterprise cleaned up 1,600 noisy rules, saved 26 hours, and made their move to LogicMonitor way smoother. For large-scale IT organizations, SNMP traps and log alerts are critical, but they can also be a hidden source of technical debt. Over time, alerting systems balloon with noise like redundant conditions, alerts from decommissioned tools, and logic that no longer maps to today’s hybrid infrastructure. One LogicMonitor customer, a global enterprise managing over 5,000 devices, found themselves here: more than 1,600 SNMP trap and log alert conditions in their production environment, many of which had long outlived their purpose. Instead of dragging that noise into a new platform, they used the migration to LogicMonitor Envision as a moment to reset, simplify, and modernize. The Problem: Decades of Alert Bloat This enterprise relied on an SNMP trap and log monitoring setup, which quietly accumulated a massive number of alert conditions over time. The signs of trouble were familiar: Rules tied to legacy systems that had been sunset years ago Conditions that had never once triggered due to misconfigured thresholds Alerts that lacked context or actionable insights A growing burden on engineers to maintain and sort through the noise Each of these 1,600+ alert rules would require manual onboarding into LM Envision—taking 1 to 2 minutes per rule. That’s up to 53 hours of migration time to replicate outdated logic that no longer served their business. They made a strategic decision: optimize first, then migrate. The Strategy: Clean House Before You Move We encourage teams to use migration as a clean-slate opportunity. So, guided by our alerting cleanup best practices, the... --- > AI agents help your teams move faster and work smarter, but only if you know what you're dealing with. Here's our guide to what they are and how they work. - Published: 2025-04-15 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/what-is-an-ai-agent - Categories: Best Practices, Blog - Tags: AI, aiops, best practices, Edwin AI, More Agentic AIOps AI agents help your teams move faster and work smarter, but only if you know what you're dealing with. Here's our guide to what they are and how they work. AI agents are everywhere in the headlines—and yet no one seems to agree on what they actually are. Ask five companies what it means, and you’ll get five different answers: OpenAI says agents can work for you independently. Microsoft talks about agents as collaborative partners. Google emphasizes reasoning and memory. Salesforce includes everything from chatbots to full automation. Anthropic just comes out and says it: “Agent” means a lot of things. So yeah—no wonder people are confused. At the highest level, everyone agrees on this: AI agents are systems designed to act on behalf of a user. But that’s where the agreement ends. The big differences come down to how independent they are, how intelligent they really seem, and what kind of work they can do. That’s why we wrote this guide—for ourselves as much as for you. We wanted a clear, real deal breakdown of what AI agents actually are, how they differ from chatbots and automation, what’s legitimate (and what’s just marketing), and how to think about using them at work. In this blog, we’ll get you answers to key questions: What is an AI agent? How are AI agents different from chatbots and scripts? What are the different levels of AI agents? How do AI agents work? What are the key features of AI agents? What types of AI agents exist today? What are the risks of using AI agents? Why should you care about AI agents? What even is an AI agent? An AI agent is... --- > Discover how agentic AI is transforming IT operations. Learn from OpenAI, LogicMonitor, and Devoteam executive briefing recap. - Published: 2025-04-11 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/decoding-agentic-ai-for-itops-excellence-with-openai-and-devoteam - Categories: Best Practices, Blog, IT Operations - Tags: aiops, Edwin AI customer stories Discover how agentic AI is transforming IT operations. Learn from OpenAI, LogicMonitor, and Devoteam executive briefing recap. If 2023 was the year AI entered the enterprise conversation and 2024 was the year of AI overhype, 2025 is the year it takes action.   “Agentic AI” has quickly become the banner term for next-gen systems that aren’t limited to generating responses—they operate, decide, and resolve. The shift from passive chatbots to autonomous agents is underway, and for IT operations teams, the implications are massive. In our recent executive briefing, Decoding Agentic AI for ITOps Excellence, LogicMonitor brought together a powerhouse lineup: Jason Lee, Head of Digital Natives at OpenAI; Karthik SJ, General Manager, AI, at LogicMonitor; and Gaël Grootaert, Group Director Devoteam Managed Services, one of Europe’s leading Managed Service Providers (MSP). This formidable group came together to unpack what agentic AI really means—and more importantly, how it's already reshaping the way enterprises and service providers manage complex, high-stakes infrastructure. From reducing 3,000 monthly incidents to under 400, to eliminating overnight escalations by 60%, the conversation spotlighted how AI agents are delivering real operational impact today. Whether you're deep in ITOps, exploring AIOps, or rethinking how your teams scale, here’s what you need to know from the frontlines. Breaking down agentic AI AI agents are quickly becoming the next major leap in how we interact with—and delegate work to—machines. But as Jason Lee, Head of Digital Natives at OpenAI, explained during the webinar, not all “agents” are created equal. The term is everywhere, but few are defining it with precision. At OpenAI, they’ve drawn a clear line in the... --- > The best AIOps business case ties AI investments to measurable ROI. Here’s how to get ROI with AI. - Published: 2025-04-07 - Modified: 2025-06-04 - URL: https://www.logicmonitor.com/blog/roi-of-agentic-aiops - Categories: Best Practices, Blog - Tags: AI, aiops, best practices, Edwin AI, More Agentic AIOps The best AIOps business case ties AI investments to measurable ROI. Here’s how to get ROI with AI. The mandate is clear: Do more with less. But in IT, that’s often an impossible equation. Engineers are expected to deliver near-perfect uptime, resolve incidents instantly, and manage an increasingly complex tech stack—all while budgets tighten. Yet, despite your best efforts, you—or your team—are still chasing outages, drowning in alerts, and reacting instead of preventing. The problem isn’t effort; it’s approach. Every 3 a. m. outage, every system slowdown, every escalation that pulls your engineers away from strategic work stems from the same fundamental issue: legacy operational models weren’t built for today’s scale, speed, or complexity. Businesses move faster, digital experiences are more critical, and expectations keep rising. Yet, despite your best efforts, your IT teams remain stuck in a reactive cycle. AIOps promises a way out. Specifically, agentic AIOps—AI that doesn’t just detect problems but actively resolves them. No more dashboards flooded with alerts. No waiting for human intervention. Just real-time, autonomous issue resolution. But here’s the catch: AI alone won’t fix IT. Without a clear strategy, measurable impact, and the right execution, AIOps is an expensive experiment. So the real question isn’t “Should we invest in AIOps? ”—it’s “Will AIOps deliver meaningful ROI for our specific challenges? ” In this post, we’ll break down exactly how to build a business case for agentic AIOps—one that ties AI investments to cost savings, efficiency gains, and IT performance—turning operations from a cost center into a competitive advantage. When is AI the right answer? Not every problem needs AI. In fact,... --- - Published: 2025-04-02 - Modified: 2025-04-02 - URL: https://www.logicmonitor.com/press/logicmonitor-achieves-fedramp-in-process-designation-strengthening-commitment-to-government-security-and-compliance - Categories: Press, Press Release - Tags: press LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced that its Envision platform has achieved "In Process" designation under the Federal Risk and Authorization Management Program (FedRAMP®). Santa Barbara, California – April 2, 2025 – LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced that its Envision platform has achieved "In Process" designation under the Federal Risk and Authorization Management Program (FedRAMP®). This designation signifies LogicMonitor’s active participation in the rigorous FedRAMP authorization process, reinforcing its commitment to delivering a highly secure, scalable, and AI-powered observability platform that meets stringent security and compliance standards for federal government agencies. AI-Powered Hybrid Observability for Government IT LogicMonitor’s Envision platform empowers government agencies to modernize IT operations by consolidating legacy monitoring tools and gaining real-time visibility across on-premises, cloud, and hybrid environments. By leveraging AI-powered insights, agencies can optimize costs, reduce operational complexity, and proactively address issues before they impact mission-critical operations—freeing up resources to focus on their core mission. With LogicMonitor, agencies can: Monitor complex IT environments in real-time, including AWS GovCloud, Microsoft Azure Government, and on-premises infrastructure. Leverage AI-powered analytics to identify performance bottlenecks and optimize resource allocation. Enhance security and compliance by consolidating monitoring tools and aligning with FedRAMP, FISMA, and HIPAA standards. Ensure uptime for mission-critical systems with predictive analytics and proactive issue resolution. "Achieving the FedRAMP ‘In Process’ designation is a significant step forward in our goal to empower government agencies with the most secure, scalable, and intelligent observability solutions available so they can focus on their missions," said Will Corkery, Chief Revenue Officer, LogicMonitor. "With LM Envision, government agencies can enhance operational resilience, improve service delivery, and ensure the security of... --- > LogicMonitor achieves FedRAMP “In Process” status, bringing AI-powered hybrid observability to government agencies. Strengthen security, streamline compliance, and modernize IT with confidence. - Published: 2025-04-02 - Modified: 2025-06-26 - URL: https://www.logicmonitor.com/blog/fedramp-in-process-designation - Categories: Blog, News and Development - Tags: AI-powered observability, compliance frameworks, compliance monitoring, cybersecutiy compliance, Digital Transformation, federal IT security, FedRamp In Process, government IT monitoring, Hybrid Cloud Monitoring, Infrastructure monitoring, IT Modernization, performance analytics, risk reductions Advancing federal IT security and modernization with compliant, AI-powered monitoring built for mission-critical environments. Throughout my career working with government agencies, I’ve seen firsthand how critical it is to have monitoring solutions that meet federal security requirements while delivering the visibility needed to manage complex IT environments. That’s why I’m particularly proud to announce that LogicMonitor has reached a significant milestone in its commitment to serving government agencies and public sector organizations. Today, the LogicMonitor Envision platform has achieved the Federal Risk and Authorization Management Program (FedRAMP) “In Process” designation. My years of helping federal organizations modernize their IT infrastructure affords me a deep understanding of the unique challenges agencies face. Agencies need solutions that can monitor both legacy systems and cloud environments while maintaining the highest security standards. The FedRAMP "In Process" designation demonstrates our dedication at LogicMonitor to meeting these requirements and validates our approach to government IT monitoring. What is FedRAMP, and Why Does It Matter? FedRAMP emerged as a direct response to a significant challenge: federal agencies were spending millions of dollars conducting redundant security assessments on cloud services, each following different standards and processes. FedRAMP transformed this approach by establishing a unified security framework for cloud technologies across the federal government. The program sets specific security controls and assessment processes that every cloud service provider must meet before hosting federal data or supporting federal operations. LogicMonitor has now reached the "In Process" phase of the FedRAMP authorization process, with an expected completion in late Spring/Summer 2025. This status means we've partnered with a federal agency sponsor who will use... --- > Explore agentic AIOps use cases to improve your IT operations and learn how agentic AI will protect revenue, reduce downtime, and mitigate risk. - Published: 2025-04-01 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/agentic-aiops-use-cases - Categories: Blog, IT Operations - Tags: agentic AIOps, aiops, AIOps transformation, Autonomous IT, Digital Transformation, incident resolution, IT Automation, IT operations, More Agentic AIOps Explore agentic AIOps use cases to improve your IT operations and learn how agentic AI will protect revenue, reduce downtime, and mitigate risk. Real problems need real solutions. We’ve all heard the same lofty claims about AI in IT operations: “Reduce alert noise” and “Detect anomalies. ” While these sound great on paper, they often fall flat when critical systems fail during peak buying seasons or a major security threat goes undetected.   E-commerce businesses lose revenue by the second when their sites go down, telecom companies juggle 100,000+ daily alerts, and managed service providers handle hundreds of client environments with unique configurations—none of which can afford protracted downtime or failures. Conventional AIOps has undoubtedly brought some intelligence to IT operations, offering event correlation, anomaly detection, and root cause analysis. But most AIOps tools still stop short of autonomous resolution. By the time IT teams sift through alerts, interpret data, and propose fixes, the damage may already be done—transactions are lost, customers are frustrated, and reputations take a hit. Where to start? In the following sections, we'll explore why AI autonomy has become essential for IT. If you're already convinced and want to see agentic AIOps in action, feel free to skip ahead to “Key use cases of agentic AI in IT operations. ” Otherwise, keep reading as we explore the critical differences between conventional and agentic AIOps and why this shift is a necessary evolution for IT operations. Moving beyond conventional AIOps Conventional AIOps excels in event correlation, anomaly detection, and root cause analysis, but it stops short of resolving issues. Most AIOps solutions operate reactively, identifying problems but leaving IT teams... --- > LogicMonitor earns a 5-Star rating in the 2025 CRN® Partner Program Guide, highlighting its industry-leading support, resources, and commitment to partner success. Explore how LogicMonitor’s AI-powered platform is transforming data centers and driving growth for solution providers. - Published: 2025-03-24 - Modified: 2025-03-12 - URL: https://www.logicmonitor.com/awards/logicmonitor-earns-5-star-rating-in-the-2025-crn-partner-program-guide - Categories: Awards - Tags: Award, Awards LogicMonitor earns a 5-Star rating in the 2025 CRN® Partner Program Guide, highlighting its industry-leading support, resources, and commitment to partner success. Explore how LogicMonitor’s AI-powered platform is transforming data centers and driving growth for solution providers. Santa Barbara, California – March 24, 2025 – LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, has been honored by CRN®, a brand of The Channel Company, with a 5-Star Award in the 2025 CRN Partner Program Guide. This annual guide is an essential resource for solution providers seeking vendor partner programs that match their business goals and deliver high partner value. The extensive support and resources technology vendors offer through their partner programs are a critical consideration for solution providers assessing which IT vendors, service providers, and distributors to team with in building world-class technology solutions. Program elements such as financial incentives, sales and marketing assistance, training and certification, technical support and more can set vendors apart and play a key role in boosting their partners’ long-term growth and profitability. The 5-Star Award is an elite recognition given to companies that have built their partner programs on the key elements needed to nurture lasting, profitable, and successful channel partnerships. For the 2025 Partner Program Guide, the CRN research team evaluated vendors based on program requirements and offerings such as partner training and education, pre- and post-sales support, marketing programs and resources, technical support, and communication. “Being featured on the 2025 CRN Partner Program Guide highlights the dedication these technology vendors have to evolving with solution providers, driving innovation, and supporting mutual success,” said Jennifer Follett, VP, U. S. Content and Executive Editor, CRN, at The Channel Company. “This critical annual project empowers solution providers to identify vendors... --- > Worried about the SolarWinds acquisition? Learn why IT teams are switching to LogicMonitor for secure, scalable, and AI-powered monitoring. - Published: 2025-03-21 - Modified: 2025-03-24 - URL: https://www.logicmonitor.com/blog/why-it-teams-are-switching-from-solarwinds-to-logicmonitor - Categories: Blog Worried about the SolarWinds acquisition? Learn why IT teams are switching to LogicMonitor for secure, scalable, and AI-powered monitoring. On February 7, 2025, SolarWinds announced that they will be acquired by Turn/River for $4. 4 billion and go private as soon as Q2 2025. This development has left customers questioning what’s next. Acquisitions often promise innovation, but Turn/River’s track record with similar purchases, like Paessler PRTG, has raised concerns. Following that acquisition, customers experienced significant price increases, with some reporting jumps from $4,800 to $14,000 annually, or increases of 330% after discounts. The acquisition raises several critical concerns, including: Potential price hikes: Turn/River has previously implemented aggressive pricing increases on acquired companies, as mentioned above Product stability and innovation risks: Uncertainties about whether SolarWinds will continue evolving its products or if budget cuts will slow development Reduced transparency: Going private may limit visibility into the company's roadmap and strategy Customer support challenges: Customer support may decline post-acquisition, with longer response times, reduced service quality, and unclear issue resolution Security and compliance concerns: SolarWinds' history of vulnerabilities has prompted many customers to reassess their trust in the platform As a result, businesses that require a more proactive and tailored approach to IT monitoring are re-evaluating their tools and looking for alternatives. Enter LogicMonitor, a cloud-native monitoring platform designed to scale with today’s IT infrastructure needs. If you’re exploring alternatives to SolarWinds or considering a change, here’s why many former SolarWinds customers are happy with their decision to switch to LogicMonitor. Why IT Teams Are Evaluating SolarWinds Alternatives Diving deeper into SolarWinds' history, there have been several challenges over the years... --- - Published: 2025-03-19 - Modified: 2025-05-07 - URL: https://www.logicmonitor.com/resources/level-up-your-it-universe-logicmonitors-latest-innovations-in-ai-powered-observability - Categories: On-demand Webinar, Resources, Video Level up your IT superpowers with LogicMonitor’s latest AI-driven innovations to conquer complexity, slash downtime, and restore order to your hybrid IT universe. Join the webinar to see how LogicMonitor equips IT teams with the ultimate tools to conquer tech chaos. Every IT hero needs the right tools to battle complexity, crush downtime, and maintain order in an ever-expanding hybrid universe. Between AI workloads, multi-cloud environments, and an explosion of data sources, IT operations are pushing teams to their limits. No need to fear! It’s time to suit up and level up with LogicMonitor’s latest innovations, designed to help you conquer tech chaos and restore balance to your digital world. Prepare to unleash your IT superpowers with: X-Ray Vision for Your IT Stack – Gain full observability across on-prem, cloud, and AI-powered environments with expanded monitoring coverage for AI workloads, Kubernetes clusters, and cost optimization tools.   Super-Speed Troubleshooting – Slash MTTR with AI-powered log intelligence and root cause analysis. IT teams can reduce downtime and decrease log storage costs with improved log visualizations, query tracking, and automated log ingestion . AI Sidekick at Your Service – Let GenAI Agent predict, automate, and resolve issues before they strike. Using AI-driven event intelligence, this powerful assistant filters noisy alerts, surfaces critical incidents, and provides dynamic troubleshooting recommendations. . No capes required—just agentic AI, automation, and the ultimate IT observability platform to keep your systems running at peak performance. Whether you're battling alert overload, hybrid complexity, or IT villains like downtime, LogicMonitor is your secret weapon. --- > LogicMonitor unveils powerful AI enhancements to transform modern data centers, delivering smarter workload management, faster insights, and autonomous IT operations. Discover how AI-driven observability optimizes performance, reduces downtime, and enhances efficiency for IT teams managing complex hybrid environments. Learn more about the latest innovations in AI-powered ITOps. - Published: 2025-03-19 - Modified: 2025-03-25 - URL: https://www.logicmonitor.com/press/logicmonitor-doubles-down-on-data-center-transformation-with-new-ai-enhancements - Categories: Press, Press Release - Tags: AI, AI data centers, alert, cost optimization, data center, data center transformation, kubernetes, press, root cause analysis LogicMonitor unveils powerful AI enhancements to transform modern data centers, delivering smarter workload management, faster insights, and autonomous IT operations. Discover how AI-driven observability optimizes performance, reduces downtime, and enhances efficiency for IT teams managing complex hybrid environments. Learn more about the latest innovations in AI-powered ITOps. Smarter workloads, faster insights, and autonomous IT operations deliver unparalleled observability across complex technology environments Santa Barbara, California – March 19, 2025 – LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today unveiled its latest features to transform modern data centers and drive operational efficiency for IT operations (ITOps). Enhancing performance, reliability, and cost efficiency, this release empowers IT teams with full visibility into AI workloads and applications, and introduces upgrades to LogicMonitor’s flagship GenAI Agent, Edwin AI. As enterprises scale AI workloads across complex IT environments spanning on premises and multiple cloud infrastructures, unified observability is crucial. Recent research from EMA shows 63% of organizations have achieved "proactive" or “dynamic" operations through AI-powered ITOps. By enabling teams to anticipate and resolve issues before they escalate, AI-powered automation drives efficiency. LogicMonitor’s latest innovations build on this momentum with innovations that enhance automation, intelligence, and insights for seamless performance across modern data centers. Expanding Best-in-Class AI-Powered Observability The latest enhancements to LogicMonitor Envision platform enable IT teams to keep pace with rapid technological growth and transformation while ensuring maximum reliability and performance in their IT environments. New enhancements include: Comprehensive AI Workload Monitoring – Expanded support for Amazon Q Business and Nvidia GPUs, allowing IT teams to monitor and optimize AI-driven applications with confidence from a single pane of glass. Hybrid Kubernetes Observability – New EKS and AKS support ensures seamless visibility into AI workloads deployed in cloud-based containerized environments, enhancing AI workload reliability. New Cost Optimization Dashboards –... --- - Published: 2025-03-19 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/modernizing-data-centers-ai-observability-cost-automation - Categories: Blog, News and Development - Tags: Edwin AI, More Edwin AI Our latest innovations for monitoring AI infrastructure while balancing performance and costs. IT Operations are more complex than ever, with modern data centers spanning on-premises, containers, multi-cloud environments, and AI-powered infrastructure. The rapid expansion of data sources has created an overwhelming volume of information, making manual monitoring across multiple tools impractical. Visibility gaps slow down troubleshooting and delay critical decisions, impacting business performance.   LogicMonitor’s latest innovations give IT teams the solutions they need to modernize their data center observability strategies and meet their business goals in the AI Era with expanded hybrid resource visibility, embedded troubleshooting workflows, and AI-driven insights. With reduced MTTR, cost savings, and greater efficiency, IT can enhance customer satisfaction, accelerate transformation, and rapidly implement AI initiatives. Expanding Best-in-Class Hybrid Observability LogicMonitor delivers comprehensive visibility across on-premises infrastructure and multi-cloud environments, providing IT teams with a unified approach to monitoring modern data centers. Our latest hybrid visibility enhancements—rolling out in the coming months—enable deeper insight into how AI services, cloud costs, container visibility, and network monitoring interact. With this expanded coverage, IT teams can pinpoint inefficiencies, optimize system performance, and eliminate operational blind spots before they create problems. Expanded Monitoring for AI Services As AI adoption accelerates, IT teams require observability that can keep pace. LogicMonitor has expanded AI monitoring coverage to include Amazon Q Business and NVIDIA GPUs, complementing existing monitoring for Amazon Bedrock, Amazon SageMaker, and Microsoft Cognitive Services. Monitoring Amazon Q Business provides IT and CloudOps teams with real-time visibility into AI-driven internal processes. By integrating directly with enterprise data sources, Amazon Q Business enables... --- > LogicMonitor, a leading SaaS-based platform for AI-powered data center transformation, announced today that it has been officially recognized as a Top Network Traffic Monitoring Solution in Expert Insights’ Best-Of Awards - Published: 2025-03-18 - Modified: 2025-03-11 - URL: https://www.logicmonitor.com/awards/logicmonitor-named-a-top-network-traffic-monitoring-solution-in-expert-insights-best-of-awards - Categories: Awards LogicMonitor, a leading SaaS-based platform for AI-powered data center transformation, announced today that it has been officially recognized as a Top Network Traffic Monitoring Solution in Expert Insights’ Best-Of Awards Santa Barbara, California – March 18, 2025 – LogicMonitor, a leading SaaS-based platform for AI-powered data center transformation, announced today that it has been officially recognized as a Top Network Traffic Monitoring Solution in Expert Insights’ Best-Of Awards. This recognition showcases our commitment to delivering industry-leading cybersecurity solutions, IT management tools, and innovative technology solutions that empower businesses to succeed in today’s digital landscape. About the Expert Insights Best-Of Awards Expert Insights is a leading B2B tech review platform that evaluates and recognises the best software solutions across a variety of categories, including cybersecurity, compliance, data protection, and IT management. Their own independent software evaluations are based on key criteria such each product’s features, customer satisfaction, market perception, and product heritage. The Network Traffic Monitoring Solutions shortlist can be viewed here. Discover LogicMonitor in Action To explore the full potential of the LogicMonitor Envision platform, visit https://www. logicmonitor. com/. About LogicMonitorLogicMonitor® offers AI-powered data center transformation. The company’s SaaS-based platform, LM Envision, enables observability across on-prem and multi-cloud environments. A Visionary on the 2024 Gartner Magic Quadrant for Observability, LogicMonitor provides IT and business teams operational visibility and predictability across their technologies and applications to focus less on troubleshooting and more on delivering extraordinary employee and customer experiences. For more information, visit  www. logicmonitor. com and our blog, or follow us on LinkedIn, X, Facebook, and YouTube. Press contact Roxanne HeshLogicMonitorpress@logicmonitor. com About Expert Insights Expert Insights saves you time and hassle by rigorously analyzing cybersecurity solutions and cutting through... --- > Discover how LogicMonitor and AWS are transforming VMware migrations with AI-driven observability. This partnership streamlines cloud adoption, enhances performance, and reduces costs for enterprises navigating hybrid IT environments. Learn how to modernize your data center effortlessly. - Published: 2025-03-18 - Modified: 2025-03-13 - URL: https://www.logicmonitor.com/press/logicmonitor-signs-strategic-collaboration-agreement-with-aws-to-simplify-vmware-migrations-and-modernize-data-centers - Categories: Press, Press Release - Tags: AWS, data center, IT Modernization, modern data center infrastructure, modernization, press Discover how LogicMonitor and AWS are transforming VMware migrations with AI-driven observability. This partnership streamlines cloud adoption, enhances performance, and reduces costs for enterprises navigating hybrid IT environments. Learn how to modernize your data center effortlessly. LogicMontor’s AI-powered observability capabilities help enterprises seamlessly transition VMware workloads and optimize cloud performance in complex IT environments Santa Barbara, California – March 18, 2025 – LogicMonitor, a leading SaaS-based platform for AI-powered data center transformation, announced today that it has signed a strategic collaboration agreement (SCA) with Amazon Web Services, Inc. (AWS) to offer enhanced solutions that help global enterprises accelerate migrations to AWS. Powering the Future of Data Centers with AI-Powered Observability LogicMonitor’s hybrid observability platform, which itself is powered by AWS, allows organizations to de-risk and accelerate their migration journeys to AWS in response to significant changes in VMware’s licensing and pricing models. With LogicMonitor’s real-time insights into on-premises and cloud environments, enterprises can seamlessly transition their VMware workloads to AWS with confidence while maintaining operational continuity and optimizing costs. Additionally, LogicMonitor has achieved the AWS Cloud Operations Competency. This designation differentiates LogicMonitor as an AWS Partner Network (APN) member with demonstrated expertise in helping clients build a strong and scalable observability foundation for their end-to-end cloud operations.   "Enterprises navigating the complexities of data center transformation need seamless visibility across hybrid environments to make informed decisions and mitigate risk," said Will Corkery, CRO, LogicMonitor. "Through this collaboration with AWS, we’re empowering organizations to streamline their VMware migrations with confidence—optimizing performance, reducing costs, and unlocking the next level of observability that modern IT operations demand. " “As organizations continue to accelerate their move to AWS, observability is key," said Alan Braun, Managing Director, Technology Partnerships at AWS.... --- > LogicMonitor and OpenAI have joined forces to power Edwin AI, bringing advanced reasoning and deep observability together. Discover what this means for IT teams. - Published: 2025-03-14 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/logicmonitor-edwin-ai-open-ai-collaboration - Categories: Blog, News and Development - Tags: agentic AIOps, AI, AI in IT, aiops, automation, Digital Transformation, enterprise it, genAI agent, incident management, IT Automation, IT operations, itops, monitoring, More Edwin AI, observability, open AI, proactive monitoring, root cause analysis Redefining IT operations by moving teams from reactive firefighting to proactive problem-solving. I know you’ve been there: a critical system goes down, and suddenly, you’re in a war room, staring at a blizzard of alerts, conflicting logs, and a dozen theories pointing in different directions. Time slips by as you sift through fragmented data, chasing symptoms instead of solutions. Hours of digging later, all you have are more questions and a cup of lukewarm coffee. This isn’t just frustrating—it’s draining. The real challenge isn’t the sheer volume of alerts; it’s finding the real problem before it spirals further. LogicMonitor’s recently-announced strategic collaboration with OpenAI is designed to tackle these challenges head-on. By integrating OpenAI’s advanced reasoning with LogicMonitor’s deep observability, LogicMonitor Edwin AI takes IT operations beyond reactive firefighting and into the realm of proactive problem-solving. But what makes this collaboration different from the countless AI promises IT teams have heard over the last decade? More than just AI hype: Why Edwin AI stands out I’ve seen plenty of AI hype in IT ops. Promises of automation, intelligence, and “next-gen” solutions too often amount to little more than flashy dashboards and minor efficiency gains. Edwin AI is different. It doesn’t just observe problems—it actively helps solve them. Unlike traditional AIOps tools that detect anomalies but leave root cause analysis to ITOps teams, Edwin AI will now be able to leverage OpenAI’s ability to process massive amounts of unstructured data, identify patterns across complex environments, and provide human-like reasoning. All this innovation makes Edwin AI the most advanced AI agent for IT operations.... --- > Learn how AI-powered log analysis detects anomalies, cuts through noise, and transforms log management from reactive to proactive. - Published: 2025-03-07 - Modified: 2025-03-13 - URL: https://www.logicmonitor.com/blog/how-to-analyze-logs-using-artificial-intelligence - Categories: Best Practices, Blog, Business Education - Tags: aiops, log monitoring, logs, logs Learn how AI-powered log analysis detects anomalies, cuts through noise, and transforms log management from reactive to proactive. Your tech stack is growing, and with it, the endless stream of log data from every device, application, and system you manage. It’s a flood—one growing 50 times faster than traditional business data—and hidden within it are the patterns and anomalies that hold the key to the performance of your applications and infrastructure. But here’s the challenge you know well: with every log, the noise grows louder, and manually sifting through it is no longer sustainable. Miss a critical anomaly, and you’re facing costly downtime or cascading failures. That’s why log analysis has evolved. AI-powered log intelligence isn’t just a way to keep up—it’s a way to get ahead. By detecting issues early, cutting through the clutter, and surfacing actionable insights, it’s transforming how fast-moving teams operate. The stakes are high. The question is simple: are you ready to leave outdated log management behind and embrace the future of observability? Why traditional log analysis falls short Traditional log analysis methods struggle to keep pace with the complexities of modern IT environments. As organizations scale, outdated approaches relying on manual processes and static rules create major challenges: Overwhelming log volumes: Exponential growth in log data makes manual analysis slow and inefficient, delaying issue detection and resolution. Inflexible static rules: Predefined rules cannot adapt to dynamic workloads or detect previously unknown anomalies, leading to blind spots. Resource-intensive and prone to errors: Manual query matching requires significant time and effort, increasing the likelihood of human error. These limitations become even more pronounced in... --- > Building an agentic AIOps strategy? Start with a clear, outcome-driven plan—this guide will help you turn AIOps into a scalable, business-aligned success. - Published: 2025-03-06 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/agentic-aiops-strategy - Categories: Best Practices, Blog - Tags: aiops, Edwin AI, More Agentic AIOps Building an agentic AIOps strategy? Start with a clear, outcome-driven plan—this guide will help you turn AIOps into a scalable, business-aligned success. Most IT leaders know they need AIOps. Few have a strategy for making it work. The problem isn’t a lack of AI-powered tools; it’s the absence of a clear, outcome-driven plan. Especially given the rapid adoption of ChatGPT and LLMs in general, organizations are spending billions on AI. But without a defined strategy, AIOps quickly turns into a patchwork of disconnected tools, rising costs, and disappointing ROI. Of course, slapping “agentic” onto AIOps won’t change that—without a strategy, it’s just more automation without direction. The solution shouldn’t be another AI buzzword but a structured, scalable plan that actually works for your business. This blog provides a practical framework for building an effective, scalable, and adaptable agentic AIOps strategy. You’ll learn how to prioritize quick wins, integrate AI-driven decision-making, and create a roadmap that evolves with your IT environment—so your AIOps investment actually pays off. And to make it even easier, we’ve included a step-by-step checklist to guide you through the process. You need a strategic approach to AIOps. AI-powered operations promise efficiency, but without a strategy, they often deliver the opposite—more complexity, more noise, and more frustration. Instead of streamlining IT, organizations end up managing a tangle of tools and runaway automation costs. AIOps doesn’t fail because the technology is flawed—it fails because it’s deployed without a plan. Without a clear strategy, AI-driven operations become another layer of chaos rather than a solution to it. Why IT operations are breaking Modern IT infrastructure was never a controlled environment—and it’s only... --- > LogicMonitor expands its global footprint to Latin America with the opening of their Mexico City office location, bringing AI-powered hybrid observability to leading brands across LATAM. - Published: 2025-03-06 - Modified: 2025-03-06 - URL: https://www.logicmonitor.com/blog/expand-global-footprint-latin-america-mexico-city - Categories: Blog, News and Development LogicMonitor expands its global footprint to Latin America with the opening of their Mexico City office location, bringing AI-powered hybrid observability to leading brands across LATAM. Bringing AI-Powered Hybrid Observability to Latin America LogicMonitor is excited to announce our expansion into Latin America with the opening of our new office in Mexico City. This marks a significant milestone as we continue our mission to deliver AI-powered hybrid observability to organizations across the globe. With our presence now established in Mexico City, we are poised to better serve the region’s rapidly growing market of forward-thinking companies that are embracing the future of IT operations. We’re Thrilled to Serve the Latin American Market Latin America is a hub of innovation, with enterprises across industries rapidly evolving their IT infrastructures to stay ahead in a competitive global market. Companies in the region are investing heavily in digital transformation, cloud migration, and AI-driven operations—key areas where LogicMonitor provides unmatched value. By establishing a local presence, we are now delivering more direct support, faster response times, and deeper collaboration with our customers and partners in the region. "LogicMonitor’s growth in Mexico City reinforces our commitment to world-class observability solutions and deepening our presence in the region," said Alyene Schneidewind, Chief Performance Officer at LogicMonitor. "Our Mexico City Center of Energy embodies our culture of connection, collaboration, and innovation, and we’re excited to see it thrive. " A New Center of Energy and Celebration of Growth LogicMonitor made the first Mexico City based hires in August 2024, marking the beginning of the company’s presence in Latin America. Since then, we have successfully onboarded our initial team, which includes professionals across Sales, Customer... --- > Learn how NEH revolutionized IT services for Dutch housing cooperatives with LogicMonitor. Discover how they enhanced security, ensured compliance with EU regulations, and optimized operations to support affordable housing across the Netherlands. - Published: 2025-03-03 - Modified: 2025-05-22 - URL: https://www.logicmonitor.com/resource/keeping-the-lights-on-for-affordable-housing-how-neh-upgraded-their-tech-and-boosted-security - Categories: Case study, Resources - Tags: case study, resource, security Learn how NEH revolutionized IT services for Dutch housing cooperatives with LogicMonitor. Discover how they enhanced security, ensured compliance with EU regulations, and optimized operations to support affordable housing across the Netherlands. In the Netherlands, safe and affordable housing is a big deal. Housing cooperatives work hard to provide homes for millions of people, and they rely on companies like NEH to keep their technology running smoothly. NEH makes sure the systems behind these housing cooperatives are always working. They provide critical IT support to over 80 different organizations, impacting the lives of countless individuals and families. But NEH had a problem: their old tech setup was messy and hard to use. They were juggling up to 6 different tools that didn't work well together, making it tough to spot problems before they became big headaches. On top of that, new cybersecurity rules from the European Union called the NIS2 Directive, meant NEH needed even stronger protection for their systems to prevent hackers and keep sensitive information safe. Finding a Simpler, Safer Solution NEH knew they needed a better way to manage their technology. They needed one tool that could do it all, give them a clear picture of what was happening, and keep everything secure. That's where LogicMonitor came in. Here's how LogicMonitor helped: Simplified Everything: LogicMonitor replaced four of NEH's old tools, combining everything into one easy-to-use platform. No more jumping between different systems. Crystal-Clear Visibility: LogicMonitor gave NEH a crystal-clear view of its entire technology setup, making it easier to spot and fix problems before they impacted housing cooperatives. Boosted Security: LogicMonitor helped NEH find and fix hidden security risks, ensuring their systems were protected and met the strict... --- > Edwin AI redefines ITOps with agentic AIOps, cutting through alert noise to pinpoint root causes, automate resolutions, and deliver real results where traditional AIOps falls short. Keep reading. - Published: 2025-02-27 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/how-edwin-ai-is-solving-itops-biggest-challenges - Categories: Blog, IT Operations - Tags: AI, aiops, AIOps transformation, Edwin AI, IT operations, More Edwin AI Edwin AI redefines ITOps with agentic AIOps, cutting through alert noise to pinpoint root causes, automate resolutions, and deliver real results where traditional AIOps falls short. Keep reading. For years, the term "AIOps" has been tossed around, but for IT teams, it hasn’t really brought the change it promised. Gartner coined the term, promising that machine learning and AI would forever change how we manage IT operations. Yet, the reality has been underwhelming. For most teams, traditional AIOps has amounted to little more than event management with a shiny new label. The problem isn’t just unmet expectations. IT environments have become increasingly complex, with data sources multiplying exponentially. Today, only a tiny percentage of alerts are critical, but the sheer volume of noncritical alerts has skyrocketed. Teams are drowning in noise, tied to outdated, rules-based systems requiring constant upkeep. The promised automation and efficiency never materialized. Instead, IT teams are left grappling with missed SLAs, delayed resolutions, and burned-out employees. But this isn't another story about AIOps falling short. This is about what happens when we take a step back and fundamentally rethink the approach. The future of ITOps isn't about managing every alert—it's about regaining control of your IT operations.   With Edwin AI, we’re not just rebranding old ideas; we’re delivering proven results through autonomous operations, intelligent event processing, and comprehensive data integration. In this article, we'll explore: Why traditional AIOps failed to deliver on its promises What makes the next generation of ITOps—agentic AIOps—fundamentally different How Edwin AI is transforming IT operations today Real results that teams are achieving without the usual overhead Successful IT operations aren't about reacting faster—they're about working smarter. Let's dive... --- > Explore the challenges of agent-based monitoring for virtual machines, including deployment complexities and scalability issues, and discover how agentless solutions simplify monitoring in dynamic IT environments. - Published: 2025-02-26 - Modified: 2025-02-28 - URL: https://www.logicmonitor.com/blog/challenges-agent-based-monitoring-cloud-virtual-machines - Categories: Blog Learn why agent-based monitoring falls short for cloud VMs and how agentless solutions offer a more effective alternative. Imagine discovering that 40% of your cloud infrastructure went unmonitored for a week because monitoring agents failed to deploy during an auto-scaling event. This scenario isn't just hypothetical—it's a growing reality for organizations relying on traditional agent-based monitoring in dynamic cloud environments.   Virtual machines (VMs) power mission-critical applications and services across enterprises, so keeping them running smoothly is critical. Monitoring provides the visibility needed to maintain performance, troubleshoot issues, and deliver a seamless user experience. Yet, traditional agent-based monitoring solutions often struggle to keep pace with the dynamic nature of the cloud. This creates monitoring gaps, adds complexity, and consumes resources while potentially impacting VM performance. In this article, we'll look at the challenges of agent-based monitoring and present a better alternative approach: agentless monitoring. In a follow-up article, we'll discuss how agentless monitoring addresses many issues introduced here. Agent-based monitoring and its issues Traditional agent-based monitoring involves installing software agents on each machine or application you want to monitor. These agents collect data locally and send it back to a central monitoring system for analysis. While this method offers benefits, such as real-time monitoring and granular insights, it also poses significant challenges, particularly in highly dynamic cloud environments. Current agent-based monitoring approaches Before we discuss the issues with agent-based monitoring, let's quickly review the most common approaches. Depending on your specific monitoring needs or the solution used, agent-based monitoring can be categorized into the following types: system performance monitoring, application performance monitoring, security monitoring, log monitoring, and database... --- > Simplify cloud VM monitoring with agentless observability. Learn how automated resource discovery and detailed insights make agentless monitoring the best choice - Published: 2025-02-26 - Modified: 2025-02-28 - URL: https://www.logicmonitor.com/blog/agentless-monitoring-cloud-vms - Categories: Blog, Cloud Computing, DevOps, IT Operations, Monitoring & Observability, Security & Compliance Learn how automated resource discovery and detailed insights make agentless monitoring the best choice for monitoring cloud VMs. Managing cloud infrastructure is challenging enough without adding the burden of deploying and maintaining monitoring agents. What if there was a simpler, more efficient way to monitor your virtual machines (VMs)? In the first part of this series, we looked at the (link) and presented a better solution: agentless monitoring.   Agentless monitoring is an efficient approach to observability that eliminates the need to install and manage software agents on each monitored device. Instead, it leverages existing communication protocols and APIs to collect performance data from your VMs and applications. This simplified method reduces the overhead of traditional agent-based solutions, making it particularly well-suited for dynamic cloud environments. In the second part of this series, you'll learn what agentless monitoring is all about and why it's better for cloud-based VMs. You'll also learn how to automate cloud VM monitoring to simplify operations and improve visibility. Why agentless collection is better for cloud-based VMs While agent-based monitoring works well in certain scenarios, like small-scale environments with a limited and predictable number of nodes, agentless monitoring is better at managing dynamic multi-cloud environments. Automated resource discovery With traditional agent-based approaches, teams must manually deploy and configure monitoring for each new resource. This becomes increasingly challenging as environments scale and change rapidly. In contrast, an automated approach continuously discovers and monitors new resources as your environment evolves. This automated discovery provides several key advantages: Immediate visibility: New resources are automatically detected and monitored as soon as they're provisioned, ensuring no blind spots in... --- > Data centers power everything from restaurant orders to hotel check-ins, making outages devastatingly expensive. LogicMonitor CEO Christina Kosmowski reveals how to prevent outages while supporting new AI initiatives. - Published: 2025-02-26 - Modified: 2025-02-26 - URL: https://www.logicmonitor.com/resource/transform-data-center-operations-ai-era - Categories: Resources, Video - Tags: AI initiatives, AI-powered monitoring, business continuity, Christina Kosmowski, CIO insights, cloud infrastructure, cost optimization, customer experience, data center costs, data center operations, data center transformation, Davos, digital infrastructure, infrastructure management, Infrastructure monitoring, IT Automation, IT infrastructure, IT leadership, IT monitoring, IT observability, IT operations, IT resilience, IT Strategy, on-premises infrastructure, preventing downtime, reducing alert noise, sustainability, World Economic Forum Data centers power everything from restaurant orders to hotel check-ins, making outages devastatingly expensive. Our CEO reveals how to prevent outages while supporting new AI initiatives. Data centers now power everything from fast food ordering to hotel check-ins. As AI adoption accelerates, modern enterprises depend on these infrastructures to support increasingly complex workloads. Any failure can cost businesses thousands of dollars per minute, making reliability and efficiency critical. To meet these demands, IT teams must move beyond traditional maintenance and adopt proactive, data-driven strategies that improve system reliability, reduce costs, and support AI-driven growth. At the 2025 World Economic Forum (WEF), global leaders gathered under the theme 'Collaboration for the Intelligent Age' to address the intersection of AI, sustainability, and digital transformation. As one of the world’s most strategic forums, WEF convenes industry experts and policymakers to tackle critical challenges shaping the future. Discussions underscored the growing energy demands of AI, the need for sustainable digital infrastructure, and the urgency of an inclusive energy transition to ensure economic resilience and environmental responsibility. IT leaders are reshaping their data center strategies to contend with these dynamics. Watch as LogicMonitor CEO Christina Kosmowski explores how organizations can harness AI-powered observability to prevent costly outages, streamline data center management, and align with the fast-changing digital landscape. Key Topics Covered The modern data center is the foundation for AI adoption, supporting high-demand workloads while ensuring scalability and efficiency With AI-powered observability, organizations can prevent multi-million dollar outages by predicting failures and maintaining continuous uptime As AI generates massive data volumes, cutting through alert noise is essential for IT teams to focus on mission-critical issues and improve response times Making informed... --- > LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, announced today that it has been named to the 2025 Data Center 50 list by CRN®, a brand of The Channel Company. - Published: 2025-02-24 - Modified: 2025-02-24 - URL: https://www.logicmonitor.com/awards/logicmonitor-earns-spot-on-the-crn-data-center-50-list-for-2025 - Categories: Awards LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, announced today that it has been named to the 2025 Data Center 50 list by CRN®, a brand of The Channel Company. SANTA BARBARA, Calif. , February 24, 2025 — LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, announced today that it has been named to the 2025 Data Center 50 list by CRN®, a brand of The Channel Company. The annual CRN Data Center 50 list spotlights data center suppliers who go above-and-beyond to support partners, enhance the performance and security of data centers, and help solution providers and their clients thrive. These are the vendors known for their dedication to transformative data center advances. Data centers are entering an era of innovation as demand for artificial intelligence capabilities grows exponentially. In today’s landscape, modernized data centers are pivotal for solution providers and their clients navigating this fast-changing AI landscape. This recognition by an expert panel of CRN editors is based upon the market influence and positive impact seen in these vendors’ ranges of data center products and services provided through IT solution providers. Each company on the Data Center 50 list is carefully selected from the industry’s leaders in areas such as servers, storage, power management, network infrastructure, colocation, and public cloud. The list is a vital tool for solution providers seeking to build outstanding data center solutions. "The pivotal role data centers solutions play for modern businesses is only accelerating in this era of artificial intelligence, making data center technology suppliers even more critical to the success of solution providers and their clients,” said Jennifer Follett, VP, U. S. Content, and Executive Editor at CRN. “Congratulations to... --- > CEO Christina Kosmowski recognized in the Innovative Women in Tech Leadership category - Published: 2025-02-18 - Modified: 2025-02-18 - URL: https://www.logicmonitor.com/awards/logicmonitor-wins-2025-tech-innovation-cubed-awards-by-siliconangle-media - Categories: Awards CEO Christina Kosmowski recognized in the Innovative Women in Tech Leadership category Santa Barbara, California – February 18, 2025 – LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced its CEO, Christina Kosmowski, has been named a winner of SilconANGLE Media’s 2025 Tech Innovation CUBEd Awards in the Innovative Women in Tech Leadership category.   The Tech Innovation CUBEd Awards recognize exceptional achievements in technological advancement, highlighting the diverse contributions of the companies and individuals shaping the future of B2B and B2B2C technology. This technology awards program recognizes the most innovative companies (public, private and startups), visionary leaders and groundbreaking products that are pushing the boundaries of what’s possible. Kosmowski was selected from a competitive field of nominees by a panel of industry experts and technology leaders. The Innovative Women in Tech Leadership category honors three outstanding women in the B2B tech industry who have made remarkable contributions through exceptional technical innovation or visionary organizational leadership. This award celebrates women who have broken barriers, driven significant advancements and inspired others with their exceptional achievements and impact in the tech sector. "Today, we honor excellence across the full spectrum of innovation—from the visionary leaders who inspire us, to groundbreaking products that transform industries, to the companies that make it all possible,” said John Furrier, co-founder and co-CEO of SiliconANGLE Media. “Our awards program celebrates the courage to think differently, the persistence to overcome obstacles, and the vision to transform bold ideas into real-world impact. ” "The winners of our inaugural Tech Innovation CUBEd Awards represent some of the boldest thinkers... --- - Published: 2025-02-18 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/agentic-aiops-and-observability - Categories: Blog, Monitoring & Observability - Tags: More Agentic AIOps AIOps and observability work better together—turning data into clear insights, automating fixes, and keeping IT systems running smoothly with less effort. Observability is the backbone of effective IT operations—but what happens when that backbone starts to collapse under the weight of complexity? Every new layer of infrastructure piles onto an already fragile web of interconnected challenges, making it painfully clear: traditional monitoring can’t keep up. You're drowning in alerts, buried in data, and yet somehow still flying blind when real issues arise. More notifications don’t mean more insight, and more data doesn’t guarantee better decisions. It doesn’t matter how many signals you can capture; it’s how intelligently you can connect the dots from symptom to source. AIOps shouldn’t just add to the noise; it should transform raw data from countless sources into a clear diagnostic story that pinpoints the real root cause. By bridging the gap between data collection and meaningful action, (agentic) AIOps isn’t a technological upgrade—it’s a complete reimagining of IT operations. In this article, we’ll explore how AIOps and observability work together to cut through the chaos, turning complexity into clarity—and shifting IT operations from reactive firefighting to strategic, intelligent management. Observability alone isn’t enough: The challenge of tool sprawl and data overload Observability is the foundation of modern IT operations. Its goal is to help IT teams have the data points they need to make sense of the internal state of their systems. And in theory, this should empower those teams to diagnose issues faster, reduce downtime, and improve performance.   But in practice, traditional observability often creates as many challenges as it solves. Why? More data... --- > Learn how SNMP monitoring works, including key components like MIBs, OIDs, polling, and traps. Also discover best practices for optimizing SNMP for network performance - Published: 2025-02-18 - Modified: 2025-02-24 - URL: https://www.logicmonitor.com/blog/how-snmp-monitoring-works - Categories: Blog, Monitoring & Observability - Tags: Network Fault Detection See how SNMP works, covering key components like MIBs and OIDs, data collection methods, and best practices for effective network monitoring. Modern network management requires administrators to gather information about live network performance, detect faults as they are happening, and provide assurance of overall operations. Simple Network Management Protocol (SNMP) is a protocol commonly implemented for monitoring network infrastructure that satisfies each requirement. Network administrators have long used SNMP to monitor network health because it provides real-time alerts and useful data about devices, which can help to identify critical network events and reduce downtime quickly. In this article, you'll learn how SNMP monitoring works, looking specifically at key SNMP components like management information bases (MIBs) and object identifiers (OIDs). You'll also learn about the methods SNMP uses to gather device information and some best practices you can implement when using SNMP to monitor your network. What is SNMP? SNMP is a network protocol used by monitoring systems for infrastructure monitoring and alerting. SNMP was first defined in 1988 as SNMPv1 (version 1) and has undergone multiple iterations over the years, with SNMPv3 (version 3) being the latest version introducing encryption and authentication for secure environments. For many years, vendors have standardized support for SNMP in network devices, including routers, switches, firewalls, and load balancers. In some cases, servers, storage devices, and software applications have SNMP built into them. SNMP's widespread use stems from its reliance on standardized data structures, known as MIBs and OIDs, which are universally understood by devices. Its simplicity and ubiquity have led to the development of numerous monitoring tools. While often viewed as a passive protocol for... --- > Learn how agentic AIOps minimizes downtime, automates issue resolution, and transforms IT operations—empowering your team to innovate instead of firefight. - Published: 2025-02-14 - Modified: 2025-06-25 - URL: https://www.logicmonitor.com/blog/what-is-agentic-aiops-and-why-is-it-crucial-for-modern-it - Categories: Blog, Business Education - Tags: More Agentic AIOps Read on to learn how agentic AIOps minimizes downtime, automates issue resolution, and transforms IT operations—empowering your team to innovate instead of firefight. Every minute of system downtime costs enterprises a minimum of $5,000. With IT infrastructure growing more complex by the day, companies are put at risk of even greater losses.   Adding insult to injury, traditional operations tools are woefully out of date. They can't predict failures fast enough. They can't scale with growing infrastructure. And they certainly can't prevent that inevitable 3 AM crisis—the one where 47 engineers and product managers flood the war room, scrambling through calls and documentation to resolve a critical production issue. Agentic AIOps flips the script. Unlike passive monitoring tools, it actively hunts down potential failures before they impact your business. It learns. It adapts. And most importantly, it acts—without waiting for human intervention. This blog will show you how agentic AIOps transforms IT from reactive to predictive, why delaying implementation could cost millions, and how platforms like LogicMonitor Envision—the core observability platform—and Edwin AI can facilitate this transformation. You’ll learn: What agentic AIOps is The core components driving agentic AIOps How agentic AIOps works A step-by-step guide to implementing agentic AIOps How agentic AIOps compares to traditional AIOps and related concepts Real-world use cases where agentic AIOps delivers measurable value The key benefits of agentic AIOps How LogicMonitor enables agentic AIOps success What is agentic AIOps? Agentic AIOps redefines IT operations by combining generative AI and agentic AI with cross-domain observability to autonomously detect, diagnose, and resolve infrastructure issues. For IT teams floundering in alerts, juggling tools, and scrambling during incidents, this shift is... --- > AI is transforming data center infrastructure, driving the need for hybrid architectures, high-density computing, and full-stack observability. Discover how modern enterprises are optimizing cost, sustainability, and performance to support AI workloads. - Published: 2025-02-12 - Modified: 2025-02-12 - URL: https://www.logicmonitor.com/blog/modern-data-center-ai-reshaping-infrastructure - Categories: Blog, News and Development - Tags: AI, AI data centers, AI workload management, AI-driven digital transformation, AI-powered monitoring, cloud and edge computing, containerized AI applications, cost management in data centers, data center, data center scalability, Digital Transformation, energy-efficient data centers, enterprise IT strategy, GPU clusters, high-density computing, hybrid cloud architecture, IT infrastructure monitoring, IT monitoring, Kubernetes in data centers, modern data center infrastructure, observability for AI, resource, sustainability in IT, workload optimization AI-driven workloads are transforming data centers, requiring new strategies for scalability, efficiency, and observability. The traditional data center is undergoing a dramatic transformation. As artificial intelligence reshapes industries from healthcare to financial services, it's not just the applications that are changing—the very infrastructure powering these innovations requires a fundamental rethinking. Today's data center bears little resemblance to the server rooms of the past. The world is seeing a convergence of high-density computing, specialized networks, and hybrid architectures designed specifically to handle the demands of AI workloads. Source: Gartner (November 2024) This transformation comes at a critical time. With analyst projections indicating that over 90% of organizations will adopt hybrid cloud by 2027, CIOs face mounting pressure to balance innovation with operational stability. AI workloads demand unprecedented computing power, driving a surge in data center capacity requirements and forcing organizations to rethink their approach to sustainability, cost management, and infrastructure design. The New Data Center Architecture At the heart of this evolution is a more complex and distributed infrastructure. Modern data centers span public clouds, private environments, edge locations, and on-premises hardware–all orchestrated to support increasingly sophisticated AI applications. The technical requirements are substantial. High-density GPU clusters, previously the domain of scientific computing, are becoming standard components. These systems require specialized cooling solutions and power distribution units to manage thermal output effectively. Storage systems must deliver microsecond-level access to massive datasets, while networks need to handle the increased traffic between distributed components. This distributed architecture necessarily creates hybrid environments where workloads and resources are spread across multiple locations and platforms. While this hybrid approach provides... --- - Published: 2025-02-11 - Modified: 2025-02-20 - URL: https://www.logicmonitor.com/blog/network-monitoring-metrics-protocols - Categories: Blog Effective network monitoring tracks crucial metrics like latency, throughput, and errors, and uses protocols such as SNMP and NetFlow to collect data, helping ensure network performance and reliability to support business goals. Network monitoring metrics act as the vital signs of your IT infrastructure, providing key insights into network health, performance, and efficiency. By tracking these metrics, IT teams can detect issues early, prevent disruptions, and ensure smooth operations. However, effective network monitoring isn’t just about collecting data—it’s about understanding it. Some metrics ensure network stability and functionality, while others optimize performance for a better user experience. Striking the right balance is crucial. With so many metrics to consider, where should you start? Let’s break down the essentials. 10 Essential Network Monitoring Metrics 1. Latency Latency measures the time it takes for data to travel across your network. Think of it as the "ping" time – the lower the latency, the faster the response. It's a critical metric for assessing network performance, especially for real-time applications like video conferencing, online gaming, and financial trading platforms. High latency can lead to frustrating delays and performance issues for users. So, by monitoring latency across different network segments, you can pinpoint the source of delays–whether it's network congestion, physical distance, or misconfigured routing protocols (like BGP or OSPF). 2. Throughput Throughput measures the amount of data that can be transferred across your network in a given time. It's like measuring the capacity of a pipeline – the higher the throughput, the more data can flow through. Monitoring throughput helps you ensure that your network has enough capacity to handle the demands of your users and applications. It's crucial to monitor throughput in both directions (ingress... --- > Network monitoring tracks and manages network performance, reliability, and security. Learn its key components, tools, and practical examples for effective implementation. - Published: 2025-02-11 - Modified: 2025-03-20 - URL: https://www.logicmonitor.com/blog/network-monitoring-explained - Categories: Blog - Tags: alerting, availability monitoring, discovery, fault monitoring, mapping, network monitoring, performance monitoring From traffic control to cybersecurity, learn how network monitoring keeps your IT infrastructure running smoothly in today's hybrid environments. Think about running a city without a traffic control system—chaos, delays, and gridlock everywhere. That’s basically what happens to IT infrastructure without network monitoring. It’s the control center that keeps everything running smoothly, securely, and efficiently. Network monitoring is all about keeping an eye on data flow, device performance, and system security to ensure everything works seamlessly. But as hybrid networks and cloud-based services become the norm, IT environments are getting more complicated. That’s why network monitoring has gone from being a "nice to have" to a must-have for keeping operations on track. Without it, businesses risk blind spots that lead to slow performance, disruptions, and security threats, all of which can create bigger problems. How Network Monitoring Works Network monitoring works through a simple cycle of data collection, analysis, reporting, and alerting. Each step is key to keeping your network running smoothly and securely: Data Collection: Monitoring begins with capturing real-time metrics from devices and endpoints using standardized protocols. This gives you the raw information you need to get a clear picture of what’s happening across your network. Analysis: Raw data gets turned into valuable insights by spotting trends, identifying anomalies, and using advanced analytics. These insights help you track performance and catch potential security threats before they become bigger problems. Reporting: Clear, actionable reports make complex data easy to understand and use. Whether it’s a simple dashboard or detailed performance metrics, these reports help teams evaluate strategies and make smarter decisions. Alerting: Automated alerts catch issues early, so... --- > Learn how network monitoring helps IT teams resolve issues, enhance security, reduce downtime, and optimize costs in today’s complex environments. - Published: 2025-02-11 - Modified: 2025-02-26 - URL: https://www.logicmonitor.com/blog/network-monitoring-benefits - Categories: Blog Network monitoring enables IT teams to manage complex environments by proactively resolving issues, improving security, reducing downtime, increasing visibility, optimizing costs, planning for future capacity, and ensuring compliance. Your network is the backbone of your business. Every application, every transaction, every customer interaction relies on a stable and high-performing network infrastructure. But as networks grow more complex, spanning on-premises systems, cloud services, and remote locations, maintaining optimal performance and security becomes increasingly challenging. That's where network monitoring comes in. A robust network monitoring strategy provides the visibility and insights you need to ensure the smooth operation of your business-critical applications and services. Here are seven reasons why network monitoring is crucial for your organization. Here are seven business benefits that show why network monitoring is crucial for your organization. Core Business Benefits of Network Monitoring The benefits go far beyond just "keeping the lights on. " Let's explore how effective network monitoring can unlock significant business value. 1. Proactive Issue Resolution You can proactively identify and resolve issues before they cause bottlenecks, improving device performance and overall network reliability. (Side note: A common issue I’ve seen in many organizations is that bottlenecks aren’t always related to traffic spikes. For example, I had a case where inefficient routing in a multi-site network caused latency, and monitoring helped us identify this as the root cause before it escalated. ) Real-world example: A manufacturing company uses network monitoring to track the performance of its production line equipment. By setting alerts for unusual activity or error messages, the IT team can identify and address potential equipment failures before they disrupt production, saving valuable time and resources. 2. Enhanced Security You can monitor... --- - Published: 2025-02-11 - Modified: 2025-02-20 - URL: https://www.logicmonitor.com/blog/network-monitoring-key-concepts - Categories: Blog Network monitoring involves discovering devices, mapping their connections, tracking performance, reporting on trends, and alerting to issues, enabling visibility and control over complex networks. Network monitoring isn't just about having the right tools; it's about implementing a comprehensive strategy built on core concepts. Think of these concepts as the posts that support your entire monitoring infrastructure, ensuring you gain the visibility and control needed to keep your network running smoothly. 1. Discovery: Network Fundamentals Before you can effectively monitor your network, you need to know exactly what's on it. you need a clear understanding of what’s on it. Discovery is the essential first step, involving the identification of every device connected to your network. This process covers everything—from key infrastructure components like routers, switches, and firewalls to often-overlooked endpoints such as workstations, printers, servers, and IoT devices. Think of it as creating an inventory of your entire digital ecosystem. Initial Identification to Understand your Digital Environment The foundation of network monitoring begins with a comprehensive inventory of all devices within your network. This initial identification lays the groundwork for understanding how these devices interconnect, ensuring you gain full visibility into your ecosystem. Building a Comprehensive Device Inventory An inventory isn’t just a simple device list; it’s a detailed catalog that includes servers, routers, switches, IoT devices, and endpoints. This detailed approach minimizes blind spots and provides clarity across your network. Automated protocols such as SNMP, ICMP, and NetFlow simplify this process, continuously scanning and updating the inventory as your network evolves. Securing Connected Devices and Endpoints Every connected device, whether it’s a laptop, smartphone, printer, or security camera, represents a potential vulnerability. Identifying and... --- - Published: 2025-02-11 - Modified: 2025-02-24 - URL: https://www.logicmonitor.com/blog/network-monitoring-three-pillars - Categories: Blog Effective network monitoring relies on fault detection, performance optimization, and availability tracking, ensuring a comprehensive view and proactive issue resolution. To truly safeguard your infrastructure, it’s crucial to adopt a holistic strategy that covers every aspect of your network’s health and performance. This means integrating fault monitoring, performance monitoring, and availability monitoring into a comprehensive strategy. Lets discuss how a well-rounded approach to network monitoring can help you maintain resilience, optimize performance, and prevent downtime. Think of network monitoring as a three-legged stool supported by the following essential pillars. First Pillar: Fault Monitoring Fault monitoring is like having a smoke detector for your network. It's your first line of defense against potential issues, focusing on detecting errors and anomalies that could lead to disruptions or outages. Error Detection Continuously monitor error logs and SNMP traps: These are your network's vital signs, providing valuable clues about potential issues, such as hardware failures, connectivity problems, or misconfigurations. Stay ahead of firmware bugs: Don't underestimate the impact of firmware bugs in network devices. Faulty firmware can cause unexpected performance degradation or even crashes. Regularly updating firmware is like giving your network devices a health checkup. Alerts and notifications Automated alerts: When an error is detected, automated alerts should notify the appropriate teams, ensuring a swift response. Role-based notifications: Make sure the right people receive the right alerts. For example, an alert about high CPU usage on a core switch should be routed to network engineers, while security-related alerts should go to the security operations center (SOC). Dependency mapping Identify the root cause: Once an issue is detected, it's crucial to identify the root... --- > Reduce alert fatigue with smart strategies like dynamic thresholds, AI filtering, and role-based routing so IT teams can focus on critical issues. - Published: 2025-02-11 - Modified: 2025-02-20 - URL: https://www.logicmonitor.com/blog/network-monitoring-avoid-alert-fatigue - Categories: Blog Reduce alert fatigue with smart strategies like dynamic thresholds, AI filtering, and role-based routing so IT teams can focus on critical issues. Alert fatigue is the silent productivity killer in IT operations, and its impact is more significant than you might think. A 2023 survey by CloudHealth Technologies found that 63% of organizations deal with over 1,000 cloud infrastructure alerts every single day. 22% report receiving more than 10,000 alerts each day. This highlights the critical need to minimize alert fatigue. With constant notifications, critical issues often get lost in the noise, leading to missed incidents and slower response times. On top of that, most security analysts spend a third of their workday investigating false alarms or low-priority threats. When combined with desensitization to alerts and inefficient review and escalation processes, the result is a breakdown in the people, process, and technology trifecta, and potentially, a successful attack. Here are five proven strategies to keep your monitoring efficient without overwhelming your IT team. 1. Implement dynamic thresholding Static thresholds are a recipe for alert overload in networks where traffic naturally fluctuates throughout the day. Dynamic thresholding offers a smarter approach by automatically adjusting alert thresholds based on your network's behavior patterns, adapting to expected fluctuations and reducing unnecessary noise. This saves your team time and helps you focus on truly anomalous activity. For example, CPU usage might spike during a scheduled workload, but with dynamic thresholds, your system won’t trigger unnecessary alerts because it recognizes that this is normal behavior for that time. By prioritizing high-impact alerts and responding faster to genuine threats, dynamic thresholding minimizes the risk of missing critical incidents.... --- > Find the right network monitoring tool by evaluating scalability, security, compatibility, and ease of use to ensure seamless performance and reliability. - Published: 2025-02-11 - Modified: 2025-02-20 - URL: https://www.logicmonitor.com/blog/essential-factors-the-right-network-monitoring-tool - Categories: Blog Find the right network monitoring tool by evaluating scalability, security, compatibility, and ease of use to ensure seamless performance and reliability. Half of all server failures lead to staff working overtime, driving up costs and highlighting the critical need for effective monitoring. This underscores the importance of choosing the right network monitoring tool. It is a critical decision that impacts not only how well your infrastructure performs today but also how easily it can scale and adapt in the future. A comprehensive monitoring solution needs to balance deep technical capabilities with ease of use and scalability.   Here's what you need to consider when making this crucial choice. 1. Device compatibility At its core, a network monitoring solution must be able to support the entire range of devices in your environment, whether it's traditional routers and switches, cloud instances, or specialized devices like firewalls and load balancers. This is especially true in hybrid or multi-cloud environments, where a lack of compatibility could result in blind spots. Look for a solution that doesn't just detect devices but provides deep integrations with devices from major manufacturers (like Cisco, Juniper, or Palo Alto) and can adapt to custom API endpoints or SNMP OIDs for specialized hardware. This will give you the flexibility to evolve your infrastructure without worrying about whether your monitoring tool can keep up. 2. Protocol support Monitoring protocols form the foundation of how data is collected, so it's essential that your tool can speak the same language as your network. The bare minimum should include support for SNMP, NetFlow, jFlow, and sFlow. A tool with flow-based monitoring is critical for understanding... --- > See how LogicMonitor delivers full-stack visibility, automated discovery, and AI-driven insights to streamline network monitoring across hybrid and cloud environments - Published: 2025-02-11 - Modified: 2025-02-25 - URL: https://www.logicmonitor.com/blog/why-logicmonitor-network-monitoring - Categories: Blog See how LogicMonitor delivers full-stack visibility, automated discovery, and AI-driven insights to streamline network monitoring across hybrid and cloud environments As modern networks evolve into intricate ecosystems spanning on-premises, cloud, and hybrid environments, the need for a robust, scalable monitoring solution has never been greater. Organizations face the challenge of maintaining performance, minimizing downtime, and managing ever-increasing complexity.   The LogicMonitor Envision platform rises to meet these demands, offering comprehensive network visibility paired with advanced analytics to empower IT teams to monitor, optimize, and proactively manage their infrastructure. By integrating cutting-edge features with ease of use, LogicMonitor enables businesses to stay ahead in an increasingly dynamic digital landscape.   Let’s go through what sets LogicMonitor apart as the ultimate solution for network monitoring. Five key capabilities that set LogicMonitor apart 1. Multi-Vendor Network Monitoring with Full Protocol Support LM Envision provides full-stack, real-time visibility across routers, switches, firewalls, load balancers, SD-WAN appliances, and more, regardless of vendor. It supports SNMP (v1, v2c, v3), APIs, NetFlow/jFlow/sFlow/IPFIX, NBAR2, WMI, and Syslog ingestion, giving you granular performance insights and ensuring no blind spots in performance monitoring. 2. Automated Device Discovery and Topology Mapping The platform automatically discovers network devices and their interfaces, building real-time topology maps and dependency-aware monitoring. It dynamically adjusts to infrastructure changes, reducing manual configuration and blind spots. 3. Logs and Metrics in One Place Instead of switching between tools, engineers can view logs alongside performance metrics in a single platform. This makes it easier to correlate events, detect trends, and diagnose issues before they escalate. 4. Intelligent Alerting and Predictive Insights Instead of static thresholds that generate noise, LM... --- > The event unifies innovation, expertise, and connection to accelerate IT modernization with AI-powered insights - Published: 2025-02-11 - Modified: 2025-02-07 - URL: https://www.logicmonitor.com/press/logicmonitor-announces-elevate-community-conference-2025-to-empower-enterprises-to-own-the-modern-data-center-in-the-ai-era - Categories: Press, Press Release The event unifies innovation, expertise, and connection to accelerate IT modernization with AI-powered insights Santa Barbara, California – February 10, 2025 – LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, is bringing together business and IT leaders, customers, and partners for its annual Elevate Community Conference 2025, a premier event designed to provide strategic insights, hands-on product experiences, and exclusive networking opportunities. Hosted globally in Dallas, Texas (April 30), Sydney, Australia (May 29), and London, United Kingdom (June 25), Elevate will showcase LogicMonitor’s latest innovations and highlight how enterprises can leverage AI-powered observability to optimize the modern data center. Own the Modern Data Center in the AI Era AI needs data centers, and data centers need LogicMonitor. As enterprises accelerate digital transformation, observability is critical to ensuring seamless operations. Elevate 2025 will demonstrate how LogicMonitor’s industry-leading platform is uniquely positioned to help businesses optimize performance, improve reliability, and drive efficiency in an AI-driven world. The event is an opportunity to engage directly with LogicMonitor’s experts, hear from industry leaders, and experience the future of AI-powered observability firsthand. Each event will offer tailored sessions that unlock the full potential of LogicMonitor’s AI-powered platform for CIOs, IT leaders, infrastructure managers, and managed service providers. By reimagining how work gets done through intelligent automation and AI-powered insights, Elevate will empower IT teams to drive scale, efficiency, and growth—fueling the ITOps revolution. Attendees will benefit from: Exclusive product innovations – Get hands-on with the latest advancements in observability and Agentic AIOps. Thought leadership & keynotes – Hear from industry experts on the future of the modern... --- > Explore how different industries leverage network monitoring - from healthcare and financial services to manufacturing and government. See real-world examples of monitoring strategies across sectors. - Published: 2025-02-11 - Modified: 2025-02-20 - URL: https://www.logicmonitor.com/blog/network-monitoring-use-cases - Categories: Blog Network monitoring isn't one-size-fits-all. Get practical insights into industry-specific monitoring approaches. A hospital's patient monitoring system fails during emergency surgery. A bank loses millions when its trading platform slows down by 50 milliseconds. A manufacturer's production line halts due to a network bottleneck. A retailer's point-of-sale system crashes during Black Friday. These aren't hypothetical scenarios—they're real examples of what happens when network monitoring falls short. While keeping systems online is still fundamental, network monitoring now protects billions in assets, maintains data security, and prevents service disruptions across every major industry. Each industry faces unique monitoring challenges: Healthcare providers need to track everything from patient data to medical devices. Banks require microsecond precision for trading platforms. Government agencies must maintain both service uptime and ironclad security. Manufacturers need to monitor industrial control systems and IoT devices. Retailers track point-of-sale (POS) systems and inventory management. Managed service providers (MSPs) handle monitoring for multiple clients simultaneously. Let's break down specific network monitoring use cases across these sectors. Healthcare Monitoring: When Every Second Counts If you're managing IT in healthcare, you know network issues aren't just technical problems–they're potential patient care problems. Here's what you need to monitor to keep critical systems running: Real-time Patient Data Systems You're responsible for monitoring vitals monitors, bedside devices, and patient alert systems. When a nurse needs to check a patient's heart rate or O2 levels, those readings need to show up immediately. A 30-second delay isn't acceptable when dealing with critical care patients. Telemedicine Infrastructure Remote consultations can't have video freezing mid-diagnosis. You need to watch video quality,... --- > LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced that CRN®, a brand of The Channel Company, has named Michael Tarbet, Global Vice President, MSP and Channel, and Cynthia Penrod, Channel Strategy Director, to the prestigious 2025 CRN® Channel Chiefs list, which recognizes the IT vendor and distribution executives who are driving strategy and setting the channel agenda for their companies. - Published: 2025-02-03 - Modified: 2025-02-03 - URL: https://www.logicmonitor.com/press/michael-tarbet-and-cynthia-penrod-of-logicmonitor-recognized-on-the-prestigious-2025-crn-channel-chiefs-list - Categories: Awards LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced that CRN®, a brand of The Channel Company, has named Michael Tarbet, Global Vice President, MSP and Channel, and Cynthia Penrod, Channel Strategy Director, to the prestigious 2025 CRN® Channel Chiefs list, which recognizes the IT vendor and distribution executives who are driving strategy and setting the channel agenda for their companies. SANTA BARBARA, Calif. , February 3, 2025  – LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced that CRN®, a brand of The Channel Company, has named Michael Tarbet, Global Vice President, MSP and Channel, and Cynthia Penrod, Channel Strategy Director, to the prestigious 2025 CRN® Channel Chiefs list, which recognizes the IT vendor and distribution executives who are driving strategy and setting the channel agenda for their companies. Tarbet oversees LogicMonitor's global hyperscaler, GSI, MSP, and reseller business, demonstrating a strong passion for the critical role channel partners play in driving rapid growth and scaling successful companies. This marks his sixth consecutive year being recognized as a Channel Chief. With more than 18 years of global channel experience, Penrod specializes in channel strategy, building scalable infrastructure, and aligning resources to drive efficiency and meet high-growth objectives. This is her first year being recognized as a Channel Chief.   The Channel Chiefs list, released annually by CRN, showcases the top leaders throughout the IT channel ecosystem who work tirelessly to ensure mutual success with their partners and customers. “This year’s honorees exemplify dedication, innovation, and leadership that supports solution provider success and fosters growth across the channel,” said Jennifer Follett, VP, U. S. Content, and Executive Editor, CRN, at The Channel Company. “Each of these exceptional leaders has made a lasting channel impact by championing partnerships and designing creative strategies that get results. They’ve set a high bar in the channel, and we’re thrilled to recognize their... --- - Published: 2025-01-27 - Modified: 2025-01-27 - URL: https://www.logicmonitor.com/resources/mastering-a-vmware-to-aws-migration-optimize-performance-cut-costs-and-minimize-risks - Categories: On-demand Webinar, Resources, Video LogicMonitor and AWS experts share actionable insights to make your VMware migration seamless, cost-effective, and optimized for performance. Featuring Alex Pylnev from AWS Migrating VMware workloads to AWS offers significant benefits like increased agility, scalability, and cost efficiency, but navigating the complexities of cloud migration can be challenging. Whether you’re considering a lift-and-shift strategy or refactoring your infrastructure, it’s crucial to maintain performance, reduce downtime, and keep critical business services running smoothly throughout the process. Join LogicMonitor and AWS experts for a webinar where you’ll gain actionable insights to make your VMware migration seamless, cost-effective, and optimized for performance. Discover how a hybrid observability platform like LogicMonitor Envision helps CloudOps teams manage VMware migrations, mitigate risks, and optimize on-prem and cloud environments for maximum efficiency. Key takeaways for CloudOps engineers: Ensure uninterrupted service availability and gain better control over migration timelines while optimizing cloud costs with detailed billing and utilization insights Compare lift-and-shift vs. refactoring strategies for VMware workloads and see how LogicMonitor Envision automates VM configuration detection and cost optimization Improve cost visibility and ensure migrated resources deliver optimal performance, avoiding common pitfalls in on-prem to cloud transitions Automate performance optimization by identifying over-provisioned VMs and streamlining workflows through integrations with tools like ServiceNow and PagerDuty Don't miss out on this opportunity to learn from industry leaders about how to overcome common cloud migration challenges, optimize resource management, and ensure a smooth, risk-free transition to AWS. --- > Learn how to monitor Kubernetes effectively by tracking essential metrics across cluster, pod, and application levels. Optimize performance and prevent outages in your K8s environment. - Published: 2025-01-22 - Modified: 2025-01-22 - URL: https://www.logicmonitor.com/blog/kubernetes-monitoring - Categories: Blog, Engineering Learn how to monitor Kubernetes effectively with this comprehensive guide that covers essential metrics across cluster, pod, and application levels, helping CloudOps teams prevent outages and optimize performance in complex containerized environments. Your Kubernetes environment feels perpetually sluggish. Applications that once met performance benchmarks and service-level agreements are now struggling to keep up and operating costs continue to rise. With no clear indicators, you're left sifting through application logs and dependencies for a root cause. For modern CloudOps teams, this scenario is all too familiar and it's happening with increasing frequency as containerized applications become more complex. At the heart of this challenge lies the very nature of Kubernetes itself: an inherently dynamic system where resources like pods, nodes, and containers are constantly being created, scaled, and destroyed. In this environment, even a single pod failure can cascade into application-wide outages. Robust monitoring isn't just helpful—it’s critical for maintaining visibility across the Kubernetes ecosystem. Proactive management of these dynamic resources ensures smooth operations and prevents issues before they disrupt your users.   In this guide, you’ll learn about Kubernetes monitoring by exploring its role in maintaining the health and performance of your hybrid cloud applications. Understanding Kubernetes monitoring Kubernetes monitoring involves tracking and analyzing the applications and infrastructure running within your Kubernetes cluster. It uses logs, metrics, and events to monitor health and performance, helping you identify potential issues, optimize workloads, and maintain high availability. In addition, Kubernetes deployments are often spread across development teams where limited visibility can lead to forms of cloud sprawl and infrastructure inefficiencies. A comprehensive view of a Kubernetes cluster architecture showing key monitoring points across the control plane and worker nodes. Red indicators represent critical monitoring... --- > Together with OpenAI, LogicMonitor advances its mission to enable seamless, scalable, and intelligent IT operations (ITOps) that benefit the management of AI and the shaping of the future workforce. - Published: 2025-01-21 - Modified: 2025-01-20 - URL: https://www.logicmonitor.com/press/logicmonitor-and-openai-supercharge-data-center-operations - Categories: Press, Press Release - Tags: data center, openai, press Together with OpenAI, LogicMonitor advances its mission to enable seamless, scalable, and intelligent IT operations (ITOps) that benefit the management of AI and the shaping of the future workforce. The collaboration will transform ITOps and empower the workforce of tomorrow with cutting-edge AI technologies Santa Barbara, Calif. – January 21, 2025 – LogicMonitor, the leading SaaS-based platform for AI-powered data center transformation, today announced its strategic collaboration with OpenAI, solidifying its leadership in AI-powered innovation and data center transformation. Together with OpenAI, LogicMonitor advances its mission to enable seamless, scalable, and intelligent IT operations (ITOps) that benefit the management of AI and the shaping of the future workforce. Powering the Future of AI LogicMonitor has leveraged its own robust data sets gathered from over a decade of monitoring data centers to create LLMs purpose-built for ITOps and the teams driving AI innovation. This collaboration underscores LogicMonitor’s commitment to transform data centers by enabling enterprises to future-proof their IT environments through AI-powered insights, automation, and operational resilience. By integrating with OpenAI’s cutting-edge technologies, including o1, LogicMonitor enhances its platform intelligence - delivering smarter and more actionable data, intelligent automation, and unmatched scalability and efficiency for enterprise IT teams. “LogicMonitor has long been the trusted, strategic partner to CIOs, helping them build resilient, scalable businesses ready for the Agentic AI era,” said Christina Kosmowski, CEO, LogicMonitor. “This integration with OpenAI’s technology accelerates our AI leadership, enabling us to deliver the most advanced reasoning technologies that transform data centers and ITOps. By embedding OpenAI’s advanced reasoning technologies into our platform and workflows, we’re empowering IT teams with agentic interfaces and intelligent automation to stay ahead in a complex landscape—while driving faster innovation... --- > The LogicMonitor Partner Program delivers AI-powered tools and resources that scale alongside the evolving tech landscape - Published: 2025-01-15 - Modified: 2025-01-14 - URL: https://www.logicmonitor.com/press/logicmonitor-ignites-partner-success-with-revamped-program-built-for-growth - Categories: Press, Press Release - Tags: partner The LogicMonitor Partner Program delivers AI-powered tools and resources that scale alongside the evolving tech landscape Santa Barbara, California – January 15, 2025 – LogicMonitor, the leading SaaS-based hybrid observability platform powered by artificial intelligence (AI), today unveiled its revitalized LogicMonitor Partner Program, enhanced to empower global partners to support their customers in harnessing AI and transforming data centers. Rooted in simplicity, trust, and innovation, the program underscores LogicMonitor’s commitment to its channel ecosystem, which touches over 80% of its global business. The leading partner program in the observability space delivers streamlined processes, flexible incentives, and tiered benefits enabling partners to scale their impact and help their customers rapidly adopt AI while modernizing complex IT environments. “LogicMonitor’s partners are critical to driving AI adoption and data center transformation,” said Will Corkery, Chief Revenue Officer, LogicMonitor. “With the LogicMonitor Partner Program, we’re empowering our partners to be the strategic advisors their customers need, helping them navigate this rapidly evolving IT landscape. Whether you’re a reseller, managed service provider (MSP), or global systems integrator (GSI), this program sets a new standard for collaboration and value creation. ” Key benefits of the LogicMonitor Partner Program The program helps partners grow faster, work smarter, and deliver exceptional value to their customers with: A tier-based structure – Partners achieve tailored benefits at the Bronze, Silver, or Gold levels based on their performance, certifications, and business goals. Enhanced sales and marketing support – Including co-branded collateral, demand-generation campaigns, and proposal-based Market Development Funds (MDF) to accelerate go-to-market success. Flexible incentives – Competitive upfront discounts, referral fees, and deal protection ensuring strong, profitable... --- ---