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The Platform Engineer's Handbook

The Platform Engineer's Handbook

By : Ajay Chankramath
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The Platform Engineer's Handbook

The Platform Engineer's Handbook

By: Ajay Chankramath

Overview of this book

The Platform Engineer’s Handbook equips senior engineers and DevOps professionals to deliver developer-friendly infrastructure with automation, speed, AI acceleration, and intelligence. Starting with a blank slate, you’ll build a complete, modern platform that runs locally on your laptop, learning real-world patterns as you go. In this handbook, you’ll follow a structured, progressive journey, beginning with source control governance and branching strategies, then deploying a Kubernetes-based runtime, embedding observability, and securing platform access. You’ll implement self-service onboarding, CI/CD as a service, and developer portals with Backstage. Later chapters introduce infrastructure blueprints, policy as code, FinOps observability, and AI-augmented platform services such as agent-based onboarding and copilots for pipeline creation. Each chapter combines core concepts, lab-based exercises, and production-ready best practices to provide a comprehensive understanding of the subject matter. By the end, you'll have a working MVP platform and the skills to adapt and scale it for your team or organization.
Table of Contents (21 chapters)
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1
Part 1: Designing, Building, and Deploying the Core Engineering Platform
7
Part 2: Enhancing Productivity Through Self-Service Functions
13
Part 3: Scaling, Maturing, and Evolving Your Platform
20
Index

Custom onboarding services vs. cloud-native workflow tools

The onboarding API we've built in this chapter isn't the only path forward. As your platform matures, you'll face a classic build-vs-adopt decision: continue extending your custom service or migrate to cloud-native workflow engines designed for precisely this purpose.

Open-source workflow engines Argo Workflows and Tekton [4] offer DAG-based orchestration with native Kubernetes integration. Crossplane[5] enables declarative infrastructure provisioning through composable resources. Kratix[6] takes a "promise-based" approach where platform teams define what they offer, and the framework handles fulfillment. Each represents a different trade-off between control and maintenance burden.

ArgoCD vs Argo Workflows: These are sibling projects from the Argo ecosystem but serve distinct purposes. ArgoCD (used in Chapters 2, 5, and 6) is a GitOps continuous delivery tool. It reconciles a desired...

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The Platform Engineer's Handbook
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