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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
5
Part 2: Implementing Best Practices
9
Part 3: Achieving Continuous Improvement

Ten common anti-patterns in Kubernetes

Within Kubernetes environments, a set of prevalent anti-patterns can profoundly impact the efficiency and reliability of deployments. Recognizing these 10 common anti-patterns is a critical step for professionals seeking to proactively manage and enhance the performance and stability of their Kubernetes infrastructures.

1. Over-reliance on pod-level resources

Kubernetes heavily relies on the effective allocation and management of resources at the pod level to enhance application performance. However, an excessive dependency on these resources can lead to numerous adverse patterns that significantly influence the system’s overall health and stability.

One notable issue arising from over-reliance on pod-level resources is the lack of effective resource utilization patterns. Overemphasizing resource allocation within individual pods without considering inter-pod communication and resource sharing may result in inefficient use of available...

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