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Full Description
This book is your guide to a fresh approach to cloud platforms using continuous integration and continuous delivery (CI/CD) pipelines. Instead of treating DevOps and DevSecOps as a collection of tools or processes, this book teaches you to view software delivery as a control system.
As you progress through the chapters, you will learn to see pipelines as execution mechanisms, understand the insights provided by feedback telemetry, create policies that define constraints, and decide how much control should be automated versus where human intervention is necessary. You will understand why delivery systems become unstable, slow, or risky as they scale, and learn how to manage these issues at the enterprise level.
The book uses a practical, system‑oriented methodology. Each concept is explained using real engineering scenarios. Control‑system principles such as feedback loops, signal quality, latency, drift, and stability are directly mapped to CI/CD pipelines, observability data, security controls, and governance policies. The structure of the book takes you from foundational concepts to delivery‑system design and finally to enterprise‑scale patterns and common failure modes.
The concepts in this book are not tied to specific tools or vendors. Instead, they provide a reusable mental model that applies across cloud platforms, organizations, and technologies. This perspective is especially valuable for senior engineers, architects, and leaders who design and operate delivery platforms used by multiple teams.
What makes this book unique is its focus on decision‑making and control—not just automation. It shows you how to design delivery systems that remain stable while moving fast, and how to determine what should be automated, what should be constrained, and what should remain under direct human control. This makes the book relevant not only for today's DevOps challenges but also for the future evolution of software delivery.
What You Will Learn
Learn how to think about software delivery as a control system, and not only as CI/CD pipelines or automation scripts
Design DevOps and DevSecOps platforms using feedback loops, signals, and constraints
Identify and reduce common failure patterns in modern delivery systems, such as over-control, delayed feedback, and noisy signals
Apply a reusable systems-level mental model that works across different cloud providers, tools, and organizations, instead of depending on vendor-specific solutions
Who This Book is For
Senior DevOps engineers, DevSecOps engineers, platform engineers and cloud architects who design, build, and run CI/CD pipelines, cloud infrastructures and delivery platforms
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