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Kubernetes Anti-Patterns

You're reading from   Kubernetes Anti-Patterns Overcome common pitfalls to achieve optimal deployments and a flawless Kubernetes ecosystem

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781835460689
Length 256 pages
Edition 1st Edition
Concepts
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Author (1):
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Govardhana Miriyala Kannaiah Govardhana Miriyala Kannaiah
Author Profile Icon Govardhana Miriyala Kannaiah
Govardhana Miriyala Kannaiah
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Table of Contents (15) Chapters Close

Preface 1. Part 1: Understanding Kubernetes Anti-Patterns FREE CHAPTER
2. Chapter 1: Introduction to Kubernetes Anti-Patterns 3. Chapter 2: Recognizing Common Kubernetes Anti-Patterns 4. Chapter 3: Causes and Consequences 5. Part 2: Implementing Best Practices
6. Chapter 4: Practical Solutions and Best Practices 7. Chapter 5: Real-World Case Studies 8. Chapter 6: Performance Optimization Techniques 9. Part 3: Achieving Continuous Improvement
10. Chapter 7: Embracing Continuous Improvement in Kubernetes 11. Chapter 8: Proactive Assessment and Prevention 12. Chapter 9: Bringing It All Together 13. Index 14. Other Books You May Enjoy

Summary

This chapter unfolded the complexities of Kubernetes anti-patterns through real-world case studies, providing a window into the practical challenges and innovative solutions that are deployed by various organizations. It illustrated the significance of customized strategies to address unique operational issues, from resource allocation to security vulnerabilities. It even underlined Kubernetes’ adaptability to diverse operational needs when wielded with expertise. It showcased the value of precise issue identification and the application of best practices tailored to specific industry demands. By offering a panoramic view of these case studies, it reinforced the concept that Kubernetes is not just a tool but a versatile platform that, when mastered, can significantly enhance system operations and efficiency.

In the next chapter, we’ll explore the diverse techniques for optimizing Kubernetes performance and cover cluster resource allocation, image management...

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