Kubernetes Monitoring

Analyze and proactively monitor your entire Kubernetes cluster, correlating metrics, traces and logs.

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Kubernetes Monitoring Tool

Monitor, Detect & Resolve Kubernetes Performance Issues

  • Get Started

  • Interactive Dashboards

  • Faster Root Cause Analysis

  • Proactive Monitoring with Alerts

  • Auto Fix with Ops AI

One-Step Kubernetes Setup

One-Step Kubernetes Setup

  • Set up Kubernetes monitoring with a single script to get started.
  • Auto-instrumented application performance monitoring for apps running in a cluster, without additional setup.
  • Analyze workload performance across all your clusters in a single, curated UI.
Interactive Dashboards

Interactive Dashboards

  • Pre-built dashboards for Kubernetes clusters, Pods, Nodes, Containers, Namespaces, Deployments, Workloads Configs, and Networks.
  • Customize dashboards to your business metrics using the data that matters most to you.
  • Easy drill-down into related metrics from the dashboard to identify the issue.
Faster Root Cause Analysis

Faster Root Cause Analysis

  • Understand how your Kubernetes pods, nodes, containers and applications impact each other.
  • Faster debugging by mapping and correlating infrastructure metrics with application logs and traces.
  • Quickly diagnose cluster problems such as OOMKilled errors, failed image pulls, and crash loops.
Proactive Monitoring with Alerts

Proactive Monitoring with Alerts

  • Get real-time alerts with an activity stream for K8s events and critical issues.
  • Set up customized alerts for any Kubernetes performance metrics.
  • Drill down to alert to find relative details to resolve issues.
Auto Fix with Ops AI

Auto Fix with Ops AI

  • View all Kubernetes issues in one place with all details.
  • Get an RCA on the issue to determine the exact cause.
  • Auto-fix an issue inside your cluster with the solution provided by Ops AI.
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Support For All Major Kubernetes Platforms

Middleware supports all major Kubernetes distributions, including, but not limited to, self-managed Kubernetes, Amazon Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), Google Kubernetes Service (GKE), Red Hat OpenShift.

Kubernetes Platforms Support

Turn the Chaos of Kubernetes into Effortless Control! Start Monitoring

Why us

Why Developers Trust the Middleware & Kubernetes Combo

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Deep visibility of Kubernetes clusters

Get real-time, end-to-end visibility into your clusters, nodes, pods, and containers from a single pane of glass. Built-in dashboards and live maps help you quickly understand performance, resource usage, and health across your entire Kubernetes environment.

Auto-detect and fix issues across Kubernetes

Automatically detect anomalies, failures, and performance regressions using OpsAI and alerts. Auto-fix issues before they impact your applications.

Correlate infrastructure data with logs and traces

Seamlessly connect metrics, logs, and traces to understand the full story behind every request and workload. Jump from a spike in CPU to the exact container logs or trace causing it—no guesswork, just faster resolution.

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    FAQs

    Everything you want to know about the Kubernetes Monitoring

    How does auto-instrumentation work in Kubernetes?

    With auto-instrumentation, you can monitor application performance and Kubernetes without any additional setup. All applications running in the cluster will be automatically monitored, and you can view APM for them.

    What are the key metrics to monitor for Kubernetes health?

    Some key metrics include CPU utilization, memory utilization, pods by namespace, number of Kubernetes objects, container restarts, and node resource consumption. All these metrics (and many more) can be seen in our default dashboard for a Kubernetes cluster.

    Which application languages are supported for auto-instrumentation?

    We support .NET, Java, Node.js, Python, and Go applications for auto-instrumentation.

    How to take a proactive approach to fixing issues?

    We provide prebuilt alerts for all Kubernetes issues and events so you can monitor them, and you can automatically fix issues with Ops AI before they impact a large set of customers.

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