Overview

A practitioner’s playbook of automation practices that are treated as best practice across IT — from CI/CD and infrastructure as code to incident response, security, and AI-assisted operations.

Foundations

Deciding what to automate, how far to take it, and which failure modes to avoid before writing any code.

CI/CD Pipelines

The delivery path from commit to production: pipeline design, test strategy, deployment patterns, and safe rollback.

Infrastructure as Code

Describing infrastructure in version-controlled code: module design, state and drift, immutability, and policy as code.

GitOps & Platform Engineering

Git as the control plane for running systems, and internal platforms that make the automated path the easiest path.

Observability & Incident Response

Automated instrumentation, alerting that respects on-call humans, executable runbooks, and self-healing systems.

Security & Compliance Automation

Security controls that run in the pipeline: scanning, secrets, supply chain integrity, and compliance as code.

AI-Assisted Automation

Where language models genuinely help operations work, and the guardrails that keep them from making things worse.

Measurement & Governance

Proving automation works, automating change control, controlling cost, and scaling practice across teams.

Case Studies

Well-documented industry patterns examined for what genuinely transfers to other organizations — and what does not.