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Cracking the Kubernetes Interview

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

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Product type Paperback
Published in Oct 2025
Publisher Packt
ISBN-13 9781835460030
Length 560 pages
Edition 1st Edition
Concepts
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Authors (2):
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Viktor Vedmich Viktor Vedmich
Author Profile Icon Viktor Vedmich
Viktor Vedmich
Alexander Dovnar Alexander Dovnar
Author Profile Icon Alexander Dovnar
Alexander Dovnar
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Toc

Table of Contents (27) Chapters Close

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

How can effective monitoring, visualization, and alerting be set up?

Setting up effective monitoring, visualization, and alerting for your Kubernetes environment ensures you can quickly detect, diagnose, and resolve issues, maintain system performance, and optimize resource usage. But how do you separate which alerts you should be notified of as soon as possible (critical severity) and which you can treat as warnings and read about once a week? We will start by looking at the four golden signals and how they can be used in the actual implementation, as well as their best practices.

What are the four golden signals?

The four golden signals concept provides a robust framework for monitoring distributed systems such as Kubernetes. These signals are crucial metrics that offer a comprehensive view of the system’s health and performance. The four golden signals are latency, traffic, errors, and saturation. Understanding and measuring these signals can help you identify issues...

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