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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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Summary

This chapter provided an in-depth exploration of continuous improvement in Kubernetes environments, emphasizing its critical role in adapting to the rapidly changing technology landscape. Foundational concepts of continuous improvement were examined, along with the significance of incorporating feedback into iterative processes. Traditional models were compared with modern continuous improvement methodologies. The importance of measuring the success of continuous improvement initiatives and the psychological aspects of fostering a growth mindset were discussed. Practical aspects such as continuous learning, aligning continuous improvement with DevOps practices, and effective risk management in iterative contexts were thoroughly explored. Also, guidance was offered on adapting to evolving changes in the Kubernetes ecosystem, including embracing new features, updates, and the essential role of community and collaboration.

In the next chapter, we will explore proactive assessment...

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