IG’s shift to modern observability delivered deeper insight into trading infrastructure, streamlined compliance with DORA, and unlocked significant cost efficiencies.

Learn how MSP nicos uses LogicMonitor and ServiceNow to modernize monitoring, automate onboarding, and cut development time by 50% across global operations.

Devoteam demonstrates how AI-driven observability, event correlation, and automated remediation reshape managed services by improving efficiency, reducing noise, and strengthening service reliability.

SAP’s journey to modernize network monitoring highlights how greater visibility and control enabled the company to support innovation, scale globally, and drive lasting business transformation.

Febelco, Belgium’s largest pharmaceutical distributor, turned to LogicMonitor to eliminate costly outages, consolidate fragmented tools, and ensure critical medications reach 3,200+ pharmacies on time, every time.

How LogicMonitor Envision empowered Vertu Motors plc to unify hybrid infrastructure monitoring, accelerate performance insights, and deliver a seamless customer journey across nearly 200 dealerships.

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.

Licensing costs reduced, engineering resources freed, and downtime minimized across a nationwide network.

20% more engineering capacity and 70% faster client onboarding—setting the stage for AI-driven operations.

Explore how LogicMonitor’s CMO, Brooke Cunningham, and CPO, Garth Fort, unpack the 2026 Observability and AI Outlook—revealing what’s driving the rise of autonomous IT and why it’s closer to reality than you might think.

SCC’s journey to unified observability shows how MSPs can evolve beyond traditional monitoring to deliver faster, smarter, and more profitable service experiences with LogicMonitor in 2026.

Learn how MSPs can cut costs and drive profit with LM Logs. Join LogicMonitor’s webinar to see how Log Partitions simplify log management and boost efficiency.

Leaders from OpenAI, Tribe AI, and LogicMonitor explore how agentic AI is helping enterprises move beyond traditional automation toward truly intelligent, autonomous systems.

Be among the first to explore LogicMonitor’s latest advancements in hybrid observability, including new LM Envision capabilities and Edwin AI—our breakthrough in agentic AIOps—designed to help IT teams stay ahead of growing complexity.

Join LogicMonitor and Electricity Maps to explore how MSPs can respond to this shift with LogicMonitor’s new Sustainability Monitoring solution.

Join industry experts Justin Fessler (VP Public Sector Observability, LogicMonitor), Gerald Caron (VP for Cybersecurity, RIVA Solutions), and Zack Schwartz (CIO, Events DC), as they discuss how unified observability empowers IT teams to accelerate threat detection, reduce resolution time and maintain uninterrupted service across both cloud and on-premises environments.

Legacy monitoring tools are holding IT teams back. This webinar explores how modern observability platforms reduce complexity, improve performance visibility, and support scale in hybrid environments.

In this discussion, leaders from LogicMonitor and WWT unpack what Agentic AI means for the IT enterprise today—and how IT leaders can prepare. We’ll explore how to evaluate your organization’s Agentic AIOps maturity, assess the fit of AI partners, and implement agentic AI with the right balance of oversight and autonomy.

AI workloads introduce unpredictable cloud spend driven by GPU utilization, token-based pricing, and distributed infrastructure. Discover the hidden cost drivers behind AI initiatives and what it takes to gain unified visibility, forecast accurately, and establish sustainable cost control across cloud environments.

Unified observability brings together AI telemetry, infrastructure performance, and cloud billing data to expose what’s driving spend. See how integrated dashboards, forecasting, and data-driven recommendations enable continuous, operationalized cost control for AI workloads.

Reliability feels harder because expectations changed faster than systems did. This post explains why slowdowns persist and why it’s not a people problem.

Scale and flexibility meet blind spots. These six cloud-monitoring challenges explain why visibility, triage, and trust fail during incidents.

Agentic AIOps can reduce downtime, cut costs, and improve operational efficiency, but ROI is not automatic. This guide explains when AI makes sense and how to build a business case grounded in measurable business impact.

Incident response breaks down when context is lost between tools and teams. This post explains how agentic, autonomous ITOps carries reasoning from detection through resolution to reduce noise and speed recovery.

Too many alerts, not enough clarity. This blog breaks down how AIOps turns logs, metrics, and events into smarter decisions, faster root-cause insights, and even automated fixes, so your team can spend less time firefighting and more time improving reliability.

Agentic AI use cases show how autonomous systems analyze data and act independently to prevent revenue loss and reduce risk.

AIOps and observability work better together—turning telemetry into clear insights, automated fixes, and stronger IT resilience with agentic observability.