Container Monitoring

When your team can see inside every container, you fix issues faster, reduce noise, and keep services running smoothly

Solve problems faster without manual setup

Discover clusters, pods, and namespaces automatically with no YAML wrangling or guesswork required.

Stay ahead of slowdowns and outages

Monitor CPU, memory, and resource usage in real time to prevent disruptions before they impact services.

Troubleshoot in minutes, not hours

Correlate metrics, events, logs, and traces in one place—no more tab hopping or tool sprawl.

Get insights right out of the box

Use prebuilt dashboards for pods, nodes, and clusters so you can skip the setup and start optimizing immediately.

Focus on what actually needs fixing

Suppress noisy alerts and highlight the issues that matter, so your team stays focused and in control.

Keep up with containers that don’t stand still

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

Everything you need to monitor, troubleshoot, and optimize containers at scale

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.

Amazon

Azure

GCP

OpenShift

Full-context Amazon EKS monitoring

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.

Visibility without the control plane overhead Get deep insights into EKS workloads without owning or maintaining cluster components.
Stay synced with auto-discovery Track EKS changes as they happen—no reconfiguring, no blind spots.

Monitor AKS apps like they’re running in your IDE

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.

Unified view of app + infra health Connect infrastructure performance to application behavior across pods and services.
Auto-discovery for every namespace LM Envision automatically detects AKS resources, so you can skip manual setup and focus on performance.

Keep GKE healthy without logging into GCP

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.

Out-of-the-box GKE visibility No need to manage Prometheus exporters. LM Envision pulls native metrics and visualizes them fast.
Auto-discovery with every deploy LM Envision maps GKE infrastructure changes in real time, so you’re never behind.

Enterprise-ready observability for OpenShift

LM Envision gives you full visibility into OpenShift resources, performance, and pipelines, so you can operate confidently in regulated or complex environments.

Track what matters in OpenShift Monitor projects, deployments, and pods with Red Hat-native metrics and context.
CI/CD pipeline visibility, built in Surface build, deploy, and runtime issues with full lifecycle observability.

INTEGRATIONS

Fits right into your container ecosystem

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.

See integrations

100%

collector-based and API-friendly

3,000+

integrations and counting

AI AGENT FOR Cloud-Native Ops

Let Edwin AI handle the k8s headaches

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.

See Edwin in action Try Edwin today

67%

ITSM incident reduction

88%

noise reduction

Trusted by CloudOps Leaders

Top teams don’t just observe containers—they Envision continuous performance

See how CloudOps, DevOps, and platform teams are gaining real-time visibility, resolving issues faster, and scaling Kubernetes environments without complexity or guesswork.

See their success

“Edwin AI cut noise by 90% & ITSM incidents by 76%, enabling better customer service.”

Joshua Powell

Managed Services Lead of Nexon

“The single pane of glass across all of our regions enables us to act more proactively.”

Dominik Hunn

Systems Engineer of Franke Group

“Edwin AI delivered value within an hour of implementation.”

Kris Manning

Global Head of IT Networks of Syngenta

“Capital Group has 1,000+ alerts/ day. LogicMonitor will eliminate that noise.”

Shawn Landreth

VP of Networking and Reliability Engineering of Capital Group

“LogicMonitor is a valuable partner, constantly innovating and adapting to our business needs.”

Rafik Hanna

SVP, Topgolf Technologies of Topgolf

0 %

fewer tickets

0 %

fewer monitoring tools

0 %

faster MTTR

0 %

time savings

GET ANSWERS

FAQs

Get the answers to the top Container Monitoring and Kubernetes questions.

Have more? Ask our experts

Does LM Envision support multi-cloud container monitoring?

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.

How does LM Envision discover and monitor containers?

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.

Can I monitor logs and metrics together?

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.

Does LM Envision work with Helm, Terraform, and other DevOps 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.

What kind of dashboards and alerts can I create?

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.

It’s time for kubernetes & cloud-native observability in one unified view

Try it free See solution brief

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