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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

Assessing and anticipating potential pitfalls

This section covers identifying and preparing for Kubernetes challenges, including risk assessments, predictive analytics, capacity planning, and scenario planning. It highlights stress testing, dependency management for stability, and advanced threat modeling for security.

Conducting thorough Kubernetes risk assessments

Conducting thorough risk assessments within Kubernetes environments is a crucial step in safeguarding the stability, security, and performance of the system. This process entails a methodical examination of the Kubernetes infrastructure, applications, and operational procedures to unearth potential vulnerabilities before they escalate into critical incidents.

To initiate a comprehensive risk assessment for Kubernetes, the first step involves mapping out the entire infrastructure. This includes delineating clusters, nodes, pods, and services to gain a holistic understanding of the system’s components and...

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