LogicMonitor in Hybrid Environments: Observability with Edwin AI powered by AWS
As enterprises scale in complexity, the infrastructure landscape is no longer just cloud or on-premises, it’s both. Hybrid is the new normal and it’s here to stay. And with that shift comes a new demand: a unified, scalable observability solution that works across the entire tech stack, from legacy hardware to cloud-native workloads. That’s where […]
As enterprises scale in complexity, the infrastructure landscape is no longer just cloud or on-premises, it’s both. Hybrid is the new normal and it’s here to stay. And with that shift comes a new demand: a unified, scalable observability solution that works across the entire tech stack, from legacy hardware to cloud-native workloads.
That’s where LogicMonitor comes in. Designed to be cloud-native, but built with today’s hybrid reality in mind, LogicMonitor enables deep observability across public cloud, private cloud, and everything in between.
LogicMonitor is “Deployed on AWS” certified and has achieved the AWS Qualified Software badge. This designation not only reflects our seamless deployment in AWS environments but also enables customers to apply their AWS committed spend toward a unified observability platform, one that delivers actionable insights, performance optimization, and business value at scale.
With LogicMonitor’s AWS Qualified Software badge, enterprises benefit from a platform that meets AWS’s stringent security and compliance standards. Our partnership ensures that your observability and AI operations are protected by enterprise-grade security and governance, including robust identity management, encrypted agent communications, and continuous threat monitoring, ensuring you meet regulatory requirements and mitigate modern AI-driven risks.
And, spoiler alert, there’s more. Building on our deep integration with AWS, we’re proud to share that Edwin AI is now available in the AWS AI Agent Marketplace—advancing our strategic collaboration and reinforcing our commitment to delivering agentic AIOps within AWS-centric environments.
Elevating AI Capabilities with Edwin AI and Amazon Bedrock
Why it matters to you:
LogicMonitor is accelerating the future of AI-powered operations with the integration of Edwin AI, our agentic AIOps product, into Amazon Bedrock. This integration gives our team the flexibility to evaluate and deploy the best AI models for your unique operational challenges, ensuring Edwin AI evolves in step with your needs in a rapidly changing IT landscape.
What this means for your team:
Cut through noise: Reduce alert fatigue by 80–95%, so your teams stay focused on what matters most.
Resolve faster: Shrink Mean Time to Repair (MTTR) by up to 60%.
Operate smarter: Improve operational efficiency by 20%.
See value fast: Deploy in under 24 hours, no training required.
Designed for scalability and speed, Edwin AI– as part of the LogicMonitor Envision platform – and supports 3,000+ technologies, making it a powerful fit for complex hybrid environments. For Managed Service Providers, its built-in multi-tenancy ensures secure, efficient service delivery across customer portfolios.
Unlike traditional AIOps tools, Edwin AI merges agentic AI, generative AI, and machine learning in a single product, offering every team member, regardless of technical depth, access to conversational insights that accelerate decision-making and drive business results.
This integration with Amazon Bedrock reflects not just innovation, but a commitment to responsible, enterprise-grade AI, delivered in alignment with AWS, so you can scale AI with confidence.
Learn more by visiting the Edwin AI Marketplace listing
With the rise of hybrid IT, visibility challenges have exploded. Multiple monitoring tools often lead to silos, blind spots, and missed SLAs. LogicMonitor solves this by providing a single, unified observability platform, LM Envision that:
Discovers resources automatically with collector-based, zero-touch setup across data centers, cloud regions, and Kubernetes clusters.
Integrates seamlessly with both cloud-native and legacy systems, from EC2 and AWS Lambda to ESXi and Cisco switches.
Visualizes dependencies in real time with topology-aware observability and intelligent alert correlation.
Deploy fast, monitor everything, and operate smarter
LogicMonitor designed LM Envision for scale, performance, and simplicity, no matter where your workloads live.
Monitor consistently across multi-cloud and on-premises environments with cloud-native and cloud-agnostic architecture.
Gain deep visibility into container health and application performance through automatic discovery of Kubernetes clusters and microservices.
Leverage AI-powered intelligence to detect anomalies, anticipate issues, and reduce alert fatigue, enabling teams to focus on what matters most.
A Strategic Fit for AWS-First Enterprises
Now that LogicMonitor is a validated AWS Partner Solution, AWS customers can apply their Enterprise Discount Program (EDP) or committed spend toward LogicMonitor licenses, helping optimize both cost and performance.
Whether you’re migrating to AWS or already running mission-critical workloads in the cloud, LogicMonitor helps you:
Optimize committed AWS spend.
Maintain visibility across your entire technology stack.
Accelerate deployment and insights without adding operational complexity.
One Platform. Total Visibility
Observability shouldn’t stop at the cloud boundary. With LogicMonitor, you can:
Unify monitoring across hybrid and multi-cloud environments with a single, scalable platform.
Leverage hundreds of prebuilt integrations for infrastructure, applications, and services.
Gain real-time visibility and automation through powerful dashboards and AIOps-driven insights.
No more blind spots. No more context switching. Just total control of your environment, wherever it runs.
Start optimizing your AWS investment with full-stack observability
Nicholas is a seasoned subject matter expert with over 20 years of experience in IT operations and solution engineering. His core expertise spans AWS, hybrid cloud architectures and observability, data center and WAN network design, and cybersecurity. Originally from the San Francisco Bay Area, he studied Business, Computer Science, and Digital Arts at the University of Oregon.
Shan Kandaswamy
Senior Partner Solutions Architect – GenAI | Amazon Web Services
Shan is a Senior Partner Solutions Architect specializing in Generative AI at AWS, dedicated to solving complex customer challenges. He advocates for innovative AI solutions, distributed architecture, and serverless technologies, helping customers harness the power of Generative AI in their cloud journey.
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