You're reading from Cracking the Kubernetes Interview Discover expert tips and best practices to ace your Kubernetes technical interviews

Product type Paperback

Published in Oct 2025

Publisher Packt

ISBN-13 9781835460030

Length 560 pages

Edition 1st Edition

Tools

Kubernetes

Concepts

DevOps

Authors (2):

Viktor Vedmich

Alexander Dovnar

View More author details

Table of Contents (27) Chapters

Preface

1. Part 1: Introduction to Kubernetes

2. Understanding Kubernetes from Containers to Orchestration FREE CHAPTER

3. Kubernetes Key Components and Their Functions

4. Part 2: Schedulers, Workloads, and Scaling

5. Exploring Kubernetes Basics

6. Principles of Scaling: Horizontal vs Vertical

7. Autoscaling in Action

8. Part 3: Networking, Services, and Security

9. Essentials of Kubernetes Networking

10. Kubernetes Network Architecture: Services and Ingresses

11. Storage: Persistence and CSI Drivers

12. Security Best Practices in Kubernetes and RBAC

13. Part 4: Deployment, Application Management, and GitOps

14. Real-World Deployment Scenarios and Continuous Deployment

15. Understanding GitOps: Principles and Practices

16. Part 5: Reliability, Monitoring, and Maintenance

17. Custom Resource Definitions and Operators

18. Ensuring High Availability and Reliability

19. Monitoring Best Practices

20. Backup, Maintenance, and Disaster Recovery in Kubernetes

21. Part 6: Troubleshooting and Best Practices

22. Real-World Troubleshooting Scenarios

23. Common Mistakes and How to Avoid Them

24. Interview Stories from Authors

25. Other Books You May Enjoy

26. Index

Developing disaster recovery plans

Backups are essential, but they’re only half of the story. Having a copy of your data is one thing; knowing how to use it effectively when disaster strikes is another. A disaster recovery plan is the bridge between a backup sitting in storage and a fully restored, functional Kubernetes environment. Without a plan, even the best backups can leave you scrambling in the middle of an outage.

Kubernetes adds its own complexity to disaster recovery planning. It’s a distributed system, often running across multiple nodes and using a mix of stateless and stateful workloads. Recovery isn’t just about putting files back—it’s about restoring cluster state, re-deploying workloads, reconnecting storage, and getting services running in the right order, all under pressure.