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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

Ten common anti-patterns in Kubernetes

Within Kubernetes environments, a set of prevalent anti-patterns can profoundly impact the efficiency and reliability of deployments. Recognizing these 10 common anti-patterns is a critical step for professionals seeking to proactively manage and enhance the performance and stability of their Kubernetes infrastructures.

1. Over-reliance on pod-level resources

Kubernetes heavily relies on the effective allocation and management of resources at the pod level to enhance application performance. However, an excessive dependency on these resources can lead to numerous adverse patterns that significantly influence the system’s overall health and stability.

One notable issue arising from over-reliance on pod-level resources is the lack of effective resource utilization patterns. Overemphasizing resource allocation within individual pods without considering inter-pod communication and resource sharing may result in inefficient use of available...

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