- TechOps Examples
- Posts
- Kubernetes POD Troubleshooting Tactics
Kubernetes POD Troubleshooting Tactics
TechOps Examples
Hey — It's Govardhana MK 👋
Along with a use case deep dive, we identify the remote job opportunities, top news, tools, and articles in the TechOps industry.
👋 Before we begin... a big thank you to today's sponsor PERFECTSCALE
🔥 DevOps is changing. Are your workflows keeping up?
Join us for a Live webinar with Adam Jacob, co-creator of Chef and CEO of System Initiative, as we explore the next era of DevOps automation.
You will learn:
Why traditional DevOps approaches are becoming a bottleneck—and what’s replacing them.
The role of AI and machine learning in automating workflows and improving collaboration.
How teams can overcome cultural and organizational hurdles when adopting new technologies.
IN TODAY'S EDITION
🧠 Use Case
Kubernetes POD Troubleshooting Tactics
🚀 Top News
👀 Remote Jobs
Horizen Labs is hiring a Senior Devops Engineer
Remote Location: Worldwide
Token Metrics is hiring a DevOps/Site Reliability Engineer
Remote Location: India
📚️ Resources
📢 Reddit Threads
👋 AI won't replace your job, but people who effectively use AI will.
Learn AI in 5 minutes a day
What’s the secret to staying ahead of the curve in the world of AI? Information. Luckily, you can join 1,000,000+ early adopters reading The Rundown AI — the free newsletter that makes you smarter on AI with just a 5-minute read per day.
🛠️ TOOL OF THE DAY
chaoskube - Periodically kills random pods in your Kubernetes cluster.
Allows to filter target pods by namespaces, labels as well as exclude certain weekdays, times of day and days of a year from chaos.
DO NOT TRY in live environments unless you are testing the chaos resistance of your system.
🧠 USE CASE
Kubernetes POD Troubleshooting Tactics
There’s a joke in the industry:
Debugged failed pods for 8 hours - No luck.
A random restart the next morning - all set!
If you’ve been there, you know the frustration.
But instead of hoping for a miraculous restart, here’s a structured way to troubleshoot Kubernetes pods effectively.

1. Check Logs
kubectl logs <pod_name>
If your pod has multiple containers, specify one:
kubectl logs <pod_name> -c <container_name>
2. Analyze Pod Status
kubectl get pod <pod_name>
Look at the STATUS column.
If it shows CrashLoopBackOff, ImagePullBackOff, or ErrImagePull, you have clear hints on what to check next.
3. Describe Pod
kubectl describe pod <pod_name>
Look for warning events, scheduling failures, and container state details.
4. Verify Pod Configuration
A misconfigured pod can cause all sorts of issues. Review its YAML configuration.
kubectl get pod <pod_name> -o yaml
Check environment variables, resource limits, image versions, and volumes.
5. Check Events
Kubernetes events provide historical context on failures.
kubectl get events --sort-by=.metadata.creationTimestamp
Pay attention to events like FailedScheduling, ImagePullBackOff, or OOMKilled
6. Validate Container Images
Ensure your container images are correct and available:
Check if the image tag exists.
kubectl get pod <pod_name> -o jsonpath='{.spec.containers[*].image}'
Try pulling the image manually.
docker pull <image_name>
7. Restart Pod
Sometimes, instead of deleting the pod, restarting the deployment helps.
kubectl rollout restart deployment/<deployment_name>
8. Review Service Dependencies
Pods may fail if dependent services are unavailable. Check the relevant services.
kubectl get svc
Ensure services are resolving correctly.
nslookup <service_name>
9. Check Network Connectivity
If your pod can’t communicate with another service, test connectivity.
kubectl exec -it <pod_name> -- sh
ping <target_host>
curl <target_url>
10. Inspect Resource Usage
If your pod is OOMKilled or throttled, check resource usage.
kubectl top pod <pod_name>
Compare with defined limits.
Following this structured approach, you save time, avoid frustration, and debug with confidence!
🔥 DevOps is changing and to give a glimpse of it, we are bringing a live webinar with Adam Jacob, co-creator of Chef and CEO of System Initiative, as we explore the next era of DevOps automation.
Don’t miss it !
I run a DevOps and Cloud consulting agency and have helped 17+ businesses, including Stanford, Hearst Corporation, CloudTruth, and more.
What people say after working with me: Genuine testimonials
I am just an email away when your business needs my services [email protected]