Cloud Native Anti-Patterns
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Cloud Native  Anti-Patterns: Accelerate your cloud transformation journey by learning from common mistakes

Cloud Native Anti-Patterns: Accelerate your cloud transformation journey by learning from common mistakes

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About the Book

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 Identify common anti-patterns in agile cloud-native delivery and learn to adopt good habits Learn high-performing cloud-native delivery with expert strategies and real-world example Get prescriptive guidance on how to spot and remediate anti-patterns in your organization Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSuccessfully transitioning to a cloud native approach demands more than just new tools—it requires a change in mindset. Written by a group of experts—Gerald Bachlmayr, Aiden Ziegelaar, Alan Blockley, and Bojan Zivic—each with extensive experience in cloud transformation, AWS technologies, and DevOps practices, this guide isn’t just about avoiding mistakes, it teaches you how to identify cloud anti-patterns and remediate them as you transition your organization to become truly cloud native. 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 establish a solid strategy, implement a suitable governance model, adopt effective FinOps practices, foster a mature DevSecOps culture, and automate security and compliance measures. For each area, you’ll identify common anti-patterns, their disadvantages, and refactor them into best practices. The book then covers the application, data, and networking tiers, transforming mistakes to solutions that enhance business agility. You’ll also gain expert insights into observability, operations, migrations, and testing of cloud-native solutions. By the end, you'll be equipped to spot anti-patterns, develop remediation strategies, and lead your organization toward cloud-native best success.What you will learn Get to grips with the common anti-patterns of building on and migrating to the cloud Identify security pitfalls before they become insurmountable Acknowledge governance challenges before they become problematic Drive cultural change in your organization for cloud adoption Explore examples across the SDLC phases and technology layers Who this book is forThis book is for cloud professionals with any level of experience who want to deepen their knowledge and guide their organization toward cloud-native success. Ideal for cloud architects, engineers (cloud, software, data, or network), cloud security experts, technical leaders, and cloud operations personnel, this book assumes that you have experience architecture, software development, data, networks, operations, or governance.

Table of Contents:
Table of Contents The Benefits of Cloud Native and Common Misunderstandings Strategizing Your Shift to Cloud Native Rethinking Governance in a Cloud-Native Paradigm How to Avoid a Bill Shock Deliver Rapidly and Continuously without Compromising Security How to Meet Your Security and Compliance Goals Expressing Your Business Goals in Application Code Don't Get Lost in the Data Jungle Connecting It All Observing Your Architecture Running It without Breaking It Migrating from Old to New How Do You Know It All Works? How to Get Started with Your Cloud Native Improvement Journey Transitioning


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Product Details
  • ISBN-13: 9781836200598
  • Publisher: Packt Publishing Limited
  • Publisher Imprint: Packt Publishing Limited
  • Height: 235 mm
  • Sub Title: Accelerate your cloud transformation journey by learning from common mistakes
  • ISBN-10: 1836200595
  • Publisher Date: 21 Mar 2025
  • Binding: Paperback
  • Language: English
  • Width: 191 mm


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Cloud Native  Anti-Patterns: Accelerate your cloud transformation journey by learning from common mistakes
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Cloud Native Anti-Patterns: Accelerate your cloud transformation journey by learning from common mistakes
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