Kubernetes Infrastructure Monitoring

Kubernetes Pod
Monitoring

OOMKilled Detection, CPU Throttling & CrashLoopBackOff Alerts

Stop flying blind at the microservice level. BigBell tracks the exact CPU and memory utilization of every Kubernetes pod, alerting you instantly to OOM kills and restart loops.

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Overview

What is Kubernetes Pod Monitoring?

Kubernetes Pod monitoring is the granular tracking of the smallest deployable compute units in K8s. It tracks the actual CPU and Memory utilized by the containers inside a pod, comparing those values against the pod's configured Resource Requests and Limits. It also closely tracks the pod's lifecycle phase (Pending, Running, Succeeded, Failed) and restart counts.

Why Kubernetes Pod Monitoring Matters

A pod might be 'Running', but its application could be completely broken. If a pod requests too little memory and hits its hard Limit, the Linux kernel will instantly kill it (OOMKilled). If it requests too little CPU, it will be silently throttled, causing massive latency. If it has a bad configuration, it will enter a CrashLoopBackOff. Pod monitoring allows developers to see exactly *why* their microservice is failing or running slowly in production.

✓Instantly identify containers terminated due to OOM (Out of Memory)
✓Detect silent CPU throttling causing high API latency
✓Stop deployment failures by catching CrashLoopBackOff states early
✓Right-size pod resource limits to save money without sacrificing stability

Core Use Cases

Used daily by software engineers to debug application crashes in production, and by DevOps teams to tune the resource Requests/Limits of third-party Helm charts.

Features

Complete Pods Monitoring Capabilities

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Usage vs Limits

Visually compare a pod's actual memory usage in real time against its hard Kubernetes Limit line.

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Restart Tracking

Monitor the restart count of every container. A steadily climbing restart count indicates a deep application issue.

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Pending Pod Alerts

Get notified if a pod is stuck in the 'Pending' state because the cluster has no available nodes to schedule it on.

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OOMKilled Alerts

Receive an instant, high-priority alert the moment a container is killed by the OOM killer.

FAQ

Frequently Asked Questions

OOMKilled (Exit Code 137) means the container tried to use more RAM than was allocated to it in its 'resources.limits.memory' configuration. The Linux kernel terminated the process to protect the system.

Unlike memory (which causes a kill), if a container tries to use more CPU than its limit, the CFS scheduler artificially pauses the process. The pod stays 'Running' but performs terribly.

This means the container starts, but the main application process exits immediately (usually due to a misconfiguration, missing secret, or code panic). K8s keeps trying to restart it, backing off the delay each time.

Master Your Pods Metrics Today

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