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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

Unpacking the root causes of Kubernetes anti-patterns

Understanding the root causes of anti-patterns in Kubernetes is key to mastering the platform’s complexities and optimizing its use. This exploration sheds light on the intricate factors that contribute to operational challenges, from the evolution of Kubernetes and its impact on current practices to the nuances of organizational dynamics, technical skills, and tool choices.

Defining root causes within Kubernetes

One critical aspect demands our attention: the root causes of anti-patterns. These are not just surface-level glitches, but rather the foundational issues that trigger a chain of operational challenges. To address these effectively, we must understand what exactly constitutes a root cause in the Kubernetes ecosystem.

Root causes in Kubernetes are often buried under layers of complexity. For instance, the overutilization of resources might initially appear as a straightforward issue of workload mismanagement...

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