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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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1
Part 1: Understanding Kubernetes Anti-Patterns
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Part 2: Implementing Best Practices
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Part 3: Achieving Continuous Improvement
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Index
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Embracing Continuous Improvement in Kubernetes

This chapter focuses on embracing continuous improvement in Kubernetes, a key strategy for keeping up with the fast-paced evolution of technology. It addresses various topics, from foundational concepts of continuous improvement to integrating feedback effectively in iterative processes. The chapter also contrasts traditional approaches with modern continuous improvement methods, discusses how to measure success in such initiatives, and highlights the psychological aspects of fostering a growth mindset. It also covers practical aspects such as continuous learning, aligning improvement with DevOps practices, and managing risks iteratively. Moreover, the chapter offers a guide on adapting to changes in the Kubernetes ecosystem, including adopting new features and updates and understanding the role of community and collaboration.

We’ll cover the following topics in this chapter:

  • The concept of continuous improvement
  • ...

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