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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

What this book covers

Chapter 1, Introduction to Kubernetes Anti-Patterns, lays the foundations by defining Kubernetes anti-patterns, their significance, and their impact on operations, guiding readers through the initial understanding necessary to navigate the complexities of Kubernetes.

Chapter 2, Recognizing Common Kubernetes Anti-Patterns, delves into the identification of prevalent anti-patterns, offering readers the tools to spot and understand the implications of these patterns in real-world Kubernetes environments.

Chapter 3, Causes and Consequences, explores the root causes of common anti-patterns and their broader effects on the Kubernetes ecosystem, equipping readers with the knowledge to address these issues at their source.

Chapter 4, Practical Solutions and Best Practices, provides actionable strategies and established best practices to effectively address and mitigate Kubernetes anti-patterns, ensuring optimized and resilient deployments.

Chapter 5, Real-World Case Studies, presents in-depth analyses of real-world scenarios where Kubernetes anti-patterns were successfully identified and resolved, illustrating the application of best practices and solutions in diverse environments.

Chapter 6, Performance Optimization Techniques, focuses on techniques to enhance the performance, efficiency, and scalability of Kubernetes deployments, offering insights into maximizing the potential of Kubernetes in various operational contexts.

Chapter 7, Embracing Continuous Improvement in Kubernetes, discusses the importance of an iterative, continuous improvement approach to Kubernetes deployment and management, highlighting strategies to adapt to the evolving Kubernetes ecosystem for sustained operational excellence.

Chapter 8, Proactive Assessment and Prevention, emphasizes the development of a proactive mindset for anticipating and mitigating potential pitfalls in Kubernetes environments, detailing assessment strategies and preventative measures.

Chapter 9, Bringing It All Together, concludes the book by synthesizing key insights, strategies, and lessons learned throughout the chapters, guiding readers on how to apply this knowledge to foster stable, efficient, and secure Kubernetes environments and encouraging a culture of continuous improvement.

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