CI/CD Platform Engineering

A book-shaped table of contents for CI/CD platform engineering: pipeline foundations, build/artifact/delivery platforms, GitHub Actions end to end (workflow mechanics through enterprise governance), Argo Workflows, Tekton, Jenkins, release engineering, platform security, observability, reliability, enterprise governance, and MAANG interview preparation — cross-linking existing tech/kubernetes/platform-engineering-fundamentals/system-design notes instead of duplicating them.

2 — Productivity Metrics

Productivity metrics, time to first deployment, lead time, developer wait time, deployment velocity, the platform is ultimately accountable for moving.

Internal Developer Platforms

A book-shaped table of contents for Internal Developer Platforms: IDP fundamentals, architecture, self-service, golden paths, software catalogs, Backstage, templates, platform APIs and automation, developer experience, governance, operations, success metrics, anti-patterns, enterprise scale, and MAANG interview preparation — cross-linking existing platform-engineering-fundamentals/sre/observability notes instead of duplicating them.

Platform Engineering Fundamentals

A book-shaped table of contents for platform engineering fundamentals: evolution and organizational foundations, platform-as-a-product thinking, core principles (self-service, golden paths, automation, APIs), design principles, the platform lifecycle, DORA/SPACE metrics, anti-patterns, enterprise governance, and MAANG interview prep — cross-linking existing sre/patterns/observability/projects notes instead of duplicating them.

1 — Developer Productivity

Covers flow efficiency, lead time, deployment frequency, and time to first deployment as developer productivity signals.

3 — SPACE Framework

Covers the SPACE framework's five dimensions — satisfaction, performance, activity, communication, and efficiency.

4 — Platform KPIs

Covers platform-specific KPIs: platform adoption, self-service success rate, platform reliability, and operational efficiency.

1 — The Evolution of Infrastructure Engineering

Traces infrastructure engineering from physical servers through virtualization, the rise of cloud computing, and infrastructure automation to the point where platform engineering became necessary.