Cloud Native Anti-Patterns : Avoiding Common Mistakes and Driving Success with Best Practices and Real-World Cases
by Gerald Bachlmayr
English | 2025 | ISBN: 1836200595 | 443 pages | True PDF | 55.44 MB
by Gerald Bachlmayr
English | 2025 | ISBN: 1836200595 | 443 pages | True PDF | 55.44 MB
Build a resilient, cloud-native foundation by tackling common anti-patterns head on with practical strategies, cultural shifts, and technical fixes across AWS, Azure, and GCP Key Features
Book DescriptionSuccessfully transitioning to a cloud-native architecture demands more than just new tools—it requires a change in mindset. Written by cloud transformation experts Gerald Bachlmayr, Aiden Ziegelaar, Alan Blockley, and Bojan Zivic—this guide shows you how to identify and remediate cloud anti-patterns, manage FinOps, meet security goals, and understand cloud storage, thus steering your organization to become truly cloud native. You will develop the skills necessary to navigate the cloud native landscape, irrespective of the platform: AWS. Azure or GCP! You'll start by exploring the events that shaped our understanding of the modern cloud-native stack. Through practical examples, you'll learn how to implement a suitable governance model, adopt FinOps and DevSecOps best practices, and create an effective cloud native roadmap. You will identify common anti-patterns and refactor them into best practices. The book examines potential pitfalls and suggests solutions that enhance business agility. You'll also gain expert insights into observability, migrations, and testing of cloud native solutions.What you will learn
Who this book is for This book is for cloud professionals with any level of experience who want to deepen their knowledge and guide their organization toward cloud-native success. It is Ideal for cloud architects, engineers (cloud, software, data, or network), cloud security experts, technical leaders, and cloud operations personnel. While no specific expertise is required, a background in architecture, software development, data, networks, operations, or governance will be helpful.
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