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DevOps Bootcamp · Lesson

Diagnosing Common Issues

Learn to identify and troubleshoot common problems related to Pods, Deployments, and Services.

Diagnosing Common Issues is a free DevOps Bootcamp lesson on CoddyKit — lesson 1 of 4. You can read the complete lesson below for free — then practise it hands-on in the browser with a built-in code editor and a 24/7 AI tutor. It is part of the DevOps Bootcamp learning path, one of 4 lessons in the course, and your progress syncs across the web and the CoddyKit app.

Why Troubleshoot Kubernetes?

Running applications in Kubernetes is powerful, but sometimes things don't go as planned. Pods might not start, services might not connect, or deployments could fail.

Learning to diagnose these issues quickly is a crucial skill for any Kubernetes user. It helps you keep your applications healthy and available.

Your Main Tool: kubectl

The primary command-line tool for interacting with your Kubernetes cluster is kubectl. It's your window into the cluster's state and the key to diagnosing problems.

We'll explore how to use kubectl to inspect different parts of your cluster and pinpoint issues.

Checking Pod Health

The first step in troubleshooting often involves checking the status of your Pods. The kubectl get pod command gives you a quick overview.

Look for Pods that are in states like Pending, Error, CrashLoopBackOff, or have an unexpected number of restarts.

kubectl get pod my-app-pod-xyz

Inspecting Pod Details

When kubectl get pod shows an issue, dive deeper with kubectl describe pod. This command provides a wealth of information about a specific Pod:

  • Status: Current state and conditions.
  • Events: A timeline of what happened to the Pod, crucial for understanding why it failed.
  • Containers: Details about each container in the Pod.
  • Volumes: Information about attached storage.
kubectl describe pod my-app-pod-xyz

Reading Pod Logs

If a Pod is running but your application isn't working, the next step is to check its logs. Application logs often contain error messages or warnings that explain the problem.

Use kubectl logs to fetch logs from a container within a Pod. You can also view previous logs if a container restarted.

kubectl logs my-app-pod-xyz -c my-container

Diagnosing Deployment Issues

Deployments manage groups of Pods. If your application isn't scaling or updating correctly, check the Deployment's status.

Use kubectl get deployment to see its current state and kubectl describe deployment for detailed events and conditions, including ReplicaSet information.

kubectl get deployment my-app-deployment
kubectl describe deployment my-app-deployment

Verifying Service Connectivity

Services ensure your Pods are reachable. If clients can't access your application, the Service might be misconfigured or not pointing to healthy Pods.

Check the Service's status and its associated endpoints:

  • Selector: Does it match your Pods' labels?
  • Endpoints: Are there healthy Pod IPs listed?
kubectl get service my-app-service
kubectl describe service my-app-service

Understanding Cluster Events

Kubernetes generates events for almost every action in the cluster. These events can be invaluable for understanding the timeline of an issue, especially for scheduling problems or resource constraints.

Use kubectl get events to see a chronological log of events that occurred in your namespace or across the cluster.

kubectl get events --sort-by='.metadata.creationTimestamp'

Common Pitfalls & Fixes

Here are some frequent issues and what to look for:

  • ImagePullBackOff: Incorrect image name/tag, private registry authentication issue.
  • CrashLoopBackOff: Application error (check logs!), misconfigured liveness probe, insufficient resources.
  • Pending Pods: Insufficient resources (CPU/memory), node taints/tolerations, node selector mismatch.
  • Service not connecting: Service selector doesn't match Pod labels, incorrect target port.
  • Readiness Probe Failure: Application not ready to serve traffic.

Troubleshooting Challenge

A Pod named web-server-789abc is stuck in a Pending state. Which kubectl command would you use first to understand why it's not scheduling?

Diagnosing Kubernetes: Summary

In this lesson, you've learned essential commands and techniques for diagnosing common Kubernetes issues:

  • Use kubectl get for a quick overview.
  • Dive deep with kubectl describe for detailed status and events.
  • Check kubectl logs for application-specific errors.
  • Monitor kubectl get events for cluster-wide activities.

These tools empower you to quickly identify and resolve problems, ensuring your applications run smoothly.

Frequently asked questions

Is the “Diagnosing Common Issues” lesson free?

Yes — the full text of “Diagnosing Common Issues” is free to read here on the web, and the DevOps Bootcamp course includes 4 lessons in total. To practise it interactively (a built-in code editor and a 24/7 AI tutor) and unlock the rest of the DevOps Bootcamp course, upgrade to CoddyKit PRO.

What will I learn in “Diagnosing Common Issues”?

Learn to identify and troubleshoot common problems related to Pods, Deployments, and Services. You practise DevOps Bootcamp with hands-on code you run directly in the browser, and a 24/7 AI tutor answers your questions as you work through the lesson.

Do I need any experience to start DevOps Bootcamp?

No prior experience is required. DevOps Bootcamp on CoddyKit is structured for beginners through advanced learners; this is — lesson 1 of 4, so you can start here or from the beginning and move at your own pace.

How long does the “Diagnosing Common Issues” lesson take?

Most CoddyKit lessons take about 5–10 minutes. Each one is bite-sized and interactive, so you make steady progress and pick up exactly where you left off across the web and the app.

Can I write and run code in this DevOps Bootcamp lesson?

Yes. Every DevOps Bootcamp lesson includes a built-in code editor, so you write and run real code right in your browser and get instant AI feedback — no local setup required.

All lessons in this course

  1. Diagnosing Common Issues
  2. Debugging Pods and Services
  3. Production Best Practices & Tips
  4. Resource Quotas and Limit Ranges
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