Get real-time visibility into clusters, pods, and services without juggling tools or writing custom queries. Spot issues faster, eliminate blind spots, and keep performance on track in any environment.
Discover clusters, pods, and namespaces automatically with no YAML wrangling or guesswork required.
Monitor CPU, memory, and resource usage in real time to prevent disruptions before they impact services.
Correlate metrics, events, logs, and traces in one place—no more tab hopping or tool sprawl.
Use prebuilt dashboards for pods, nodes, and clusters so you can skip the setup and start optimizing immediately.
Suppress noisy alerts and highlight the issues that matter, so your team stays focused and in control.
Track short-lived pods and services automatically, so you don’t lose visibility as workloads scale, shift, or disappear.
OBSERVABILITY POWERED BY LOGICMONITOR ENVISION AND EDWIN AI
Automatically discover clusters, pods, and services. Monitor CPU, memory, and resource usage in real time. Correlate metrics, logs, traces, and events across every containerized environment.
Monitor pods, nodes, and services across Amazon EKS without managing your own infrastructure. LM Envision auto-discovers clusters and delivers real-time performance insights with zero manual setup.
See everything from pod health to app behavior inside your AKS clusters. LM Envision integrates with Azure Monitor to surface telemetry, events, and resource metrics in one place.
Get deep insights into your GKE environment without relying on GCP-native tools. LM Envision auto-discovers clusters and visualizes node and pod performance instantly.
LM Envision gives you full visibility into OpenShift resources, performance, and pipelines, so you can operate confidently in regulated or complex environments.
INTEGRATIONS
LM Envision integrates with your entire DevOps pipeline—from AWS, Azure, and GCP to Helm, Terraform, and Prometheus. Automate monitoring at deploy, correlate data at runtime, and get deep container insights without retooling your workflow.
100%
collector-based and API-friendly
3,000+
integrations and counting
AI AGENT FOR Cloud-Native Ops
Troubleshooting doesn’t have to mean pivoting between dashboards or writing log queries. Just ask Edwin about it and get instant, human-readable answers that help you fix it fast.
67%
ITSM incident reduction
88%
noise reduction
GET ANSWERS
Get the answers to the top Container Monitoring and Kubernetes questions.
Yes. LogicMonitor supports Amazon EKS, Azure AKS, Google GKE, OpenShift, and on-prem Kubernetes, including EKS Anywhere. You get unified visibility across every environment, no matter where your containers run.
We automatically detect clusters, nodes, pods, and services using built-in integrations and Kubernetes-native methods, so you don’t have to manually configure each resource. It just works.
Absolutely. LM Envision brings logs, metrics, traces, and events into one correlated view, making it easy to troubleshoot container issues fast without jumping between tools.
Yes. LM Envision integrates with popular DevOps workflows and deployment tools, including Helm charts, Terraform modules, and CI/CD pipelines, so you can automate monitoring as you scale.
Start with out-of-the-box dashboards for Kubernetes, or build custom views for your specific clusters, namespaces, or teams. LM Envision also gives you intelligent, contextual alerts that cut through the noise.
