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Kubernetes Anti-Patterns

Kubernetes Anti-Patterns

By : Govardhana Miriyala Kannaiah
3.3 (3)
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Kubernetes Anti-Patterns

Kubernetes Anti-Patterns

3.3 (3)
By: Govardhana Miriyala Kannaiah

Overview of this book

As the popularity of Kubernetes continues to grow, it’s essential to understand and navigate the potential challenges of scalability, resource optimization, troubleshooting, and security. Kubernetes Anti-Patterns offers vital insights and strategies tailored to the current needs of practitioners and enthusiasts navigating the complexities of Kubernetes. Penned by an AWS-certified solutions architect with 16+ years of experience, this book will teach you the essential Kubernetes anti-patterns, their types, causes, and consequences. You’ll find practical solutions for each of the challenges and uncover real-world examples and case studies to enhance your Kubernetes expertise. Beyond technical details, you’ll delve into optimization, proactive assessment, and prevention strategies, ensuring your Kubernetes endeavors are marked by success and efficiency. Experienced or beginner, this book will equip you with the right knowledge to deploy and maintain a robust Kubernetes environment. By the end of this book, you’ll gain a holistic understanding of Kubernetes anti-patterns and develop the expertise to identify and address issues in various Kubernetes contexts. This knowledge will enable you to optimize your container orchestration environments and ensure the reliability, scalability, and security of your applications.
Table of Contents (15 chapters)
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Free Chapter
1
Part 1: Understanding Kubernetes Anti-Patterns
5
Part 2: Implementing Best Practices
9
Part 3: Achieving Continuous Improvement

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

anti-patterns and solutions

case studies 92-114

anti-patterns, in real-world scenarios 25

analysis of service-to-service resource sharing 30

assessment strategies, for containerization practices 26, 27

audit and compliance tools, for Secrets and configurations 26

audit tools, for PV management 29

health probe monitoring and alerting mechanisms 28

image optimization techniques, for efficient containerization 28, 29

metrics and triggers, for autoscaling opportunities 31

monitoring and metrics, for resource overutilization 25

network analysis tools, for identifying complex configurations 30, 31

visibility, into resource limitation and quota management 27, 28

anti-patterns, Kubernetes 20

architectural and design pitfalls 44, 45

bloated container images 23

...

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