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Kubernetes Anti-Patterns: Overcome common pitfalls to achieve optimal deployments and a flawless Kubernetes ecosystem - Softcover

 
9781835460689: Kubernetes Anti-Patterns: Overcome common pitfalls to achieve optimal deployments and a flawless Kubernetes ecosystem

Synopsis

Discover practical insights for mastering Kubernetes problem-solving and efficient ecosystem management

Key Features

  • Learn to recognize common Kubernetes anti-patterns with the guidance of a community expert
  • Discover actionable strategies and best practices to address anti-patterns
  • Explore methods for fostering a culture of continuous improvement in Kubernetes
  • Purchase of the print or Kindle book includes a free PDF eBook

Book Description

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.

What you will learn

  • Get to grips with the nature and characteristics of Kubernetes anti-patterns
  • Find out how to achieve stable Kubernetes deployments
  • Extract insights from real-world use cases for informed decision-making
  • Cultivate a proactive mindset for anticipating and preventing potential problems
  • Optimize Kubernetes deployments for improved efficiency and performance
  • Discover actionable strategies for continuous improvement in your Kubernetes workflow

Who this book is for

Kubernetes Anti-Patterns is for anyone who is actively working with or planning to work with Kubernetes in their professional roles. DevOps engineers, system administrators, software developers, IT managers, or any other professional responsible for container orchestration and deployment will find this book useful. A foundational understanding of Kubernetes concepts, terminology, and basic operations is assumed. Familiarity with key components like pods, services, deployments, and how Kubernetes manages containerized applications is required.

Table of Contents

  1. Introduction to Kubernetes Anti-Patterns
  2. Recognizing Common Kubernetes Anti-Patterns
  3. Causes and Consequences
  4. Practical Solutions and Best Practices
  5. Real-World Case Studies
  6. Performance Optimization Techniques
  7. Embracing Continuous Improvement in Kubernetes
  8. Proactive Assessment and Prevention
  9. Bringing It All Together

"synopsis" may belong to another edition of this title.

About the Author

Govardhana is an AWS certified solutions architect with 16 years of professional experience in Cloud engineering, DevOps, and technical consulting. He is a seasoned expert in designing, implementing, and managing DevOps, Kubernetes and cloud-based solutions with a variety of tools and platforms. An effective communicator and go-to person in crucial situations, Govardhana has high business acumen skills and a passion for solving challenging business problems.

"About this title" may belong to another edition of this title.

  • PublisherPackt Publishing
  • Publication date2024
  • ISBN 10 1835460682
  • ISBN 13 9781835460689
  • BindingPaperback
  • LanguageEnglish
  • Number of pages256

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