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Docker & Kubernetes Troubleshooting

Beginner's Guide

Something is broken. The clock is ticking. Where do you even start?

Every engineer who works with containers knows that moment — the deployment is down, the logs are cryptic, and docker ps is showing something you didn't expect. You know the tools. You just need a clear head and a logical path forward.

That's exactly what this book is.

The Practitioner's Guide to Docker & Kubernetes Troubleshooting skips the introductory fluff and gets straight to the part where things are on fire. It's organized around symptoms — what you're actually seeing — not around how Docker or Kubernetes happens to be architected. Every chapter gives you a decision tree: here's the status, here's what it means, here's the command, here's the fix.

Whether you're chasing a CrashLoopBackOff at midnight, trying to figure out why two containers can't talk to each other, or untangling a Kubernetes node that just went NotReady — this guide has the exact path through it.

Covers Docker Engine · Docker Swarm · Kubernetes From single containers to multi-node clusters. From image pull failures to PVC stuck in Terminating.

No padding. No prerequisites lecture. Just the guide you wish you'd had the last time something broke.

Tight, benefit-led, and speaks directly to the frustration your readers already feel. Works well as Leanpub's "About This Book" blurb.

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About

About

About the Book

About This Book

Containers fail at the worst possible times — and when they do, you need answers fast, not a 300-page manual.

The Practitioner's Guide to Docker & Kubernetes Troubleshooting is a field guide for engineers who already know how to run containers but need a reliable, logical path through the mess when something breaks. It combines Docker container debugging, Docker Swarm cluster operations, and Kubernetes troubleshooting into a single, unified resource — organized the way your brain actually works under pressure: by symptom, not by system component.

Each chapter follows a consistent pattern: here's what you're seeing, here's what it most likely means, here's the exact command to confirm it, and here's the fix. No filler, no theory for theory's sake.

What's inside:

Across 10 chapters and a practical cheatsheet appendix, the book walks you through container status and health checks, log analysis, network connectivity debugging, volume and storage issues, resource pressure, image and registry failures, Docker Swarm service and node management, and the full Kubernetes troubleshooting workflow — covering pods, services, nodes, ingress, PVCs, and the control plane. Advanced techniques like ephemeral debug containers and host-level inspection round out the guide for the trickier situations.

Who it's for:

This book is written for developers and platform engineers who work with containerized workloads day to day — whether you're debugging a single Docker container on your laptop or chasing down a scheduling failure in a multi-node Kubernetes cluster at 2am.

The guiding philosophy:

Most container problems are configuration issues, not bugs. Start simple, gather evidence, then go deeper. This book helps you do exactly that — calmly and systematically, every time.

Feel free to trim or adjust the tone for wherever you're publishing it — whether that's a README, a landing page, or a book store listing.

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Author

About the Author

Sudhanshu Jaiswal

DevOps Visionary | Cloud Architect | Automation Specialist.

I simplify complex infrastructure with Kubernetes, IaC, and robust CI/CD. Proficient in GCP/AWS and a pioneer in n8n workflow automation. Open-Source Advocate and a seasoned engineer dedicated to building resilient, scalable systems.

During my leisure time , I'm writing Hindi poetry or supporting my wife's @deepasoni6261's cooking youtube channel.

Contents

Table of Contents

  • Introduction — How to Use This Guide
  • Docker
    • Chapter 1 — Is My Container Actually Running?
    • Chapter 2 — Logs: Your First Source of Truth
    • Chapter 3 — Networking — When Things Can't Talk
    • Chapter 4 — Storage & Volumes
    • Chapter 5 — Resource Pressure: CPU, Memory & Disk
    • Chapter 6 — Images & Registry Problems
    • Chapter 7 — Docker Swarm — Cluster Troubleshooting
  • Kubernetes
    • Chapter 8 — Kubernetes — The Full Workflow
  • Advanced & Reference
    • Chapter 9 — Advanced Debugging Techniques
    • Chapter 10 — Preventive Monitoring
    • Appendix — Cheatsheet — One-Liners You'll Actually Use

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