Deploy Automation

MS Learn path: Design and implement a release strategy — deepen module 6.

Overview

Automates the deploy step as code: a validated build artifact moves through environments identically, is posted to PaaS/container/VM targets by pipeline or ansible-style config-driven tooling, and the shape of a deployment (its inputs, ordered steps, target state) is explicit and re-runnable.

Units

  • Pipeline-based deploy jobs (azure-pipelines, github-actions)
  • Ansible-style / config-driven deployments
  • The deployment’s structure: inputs, steps, expected target state

Concepts introduced

Key terms & commands

  • Deploy job — the pipeline stage that publishes an artifact to a target.
  • Ansible-style orchestration — an engine applies a defined config (image, region, role, env) to converge on target state.
  • Deploy grammar — a small formal notation for a deployment: inputs, ordered steps, target state.

Hands-on

⚠ verify — add an exercise automating an App Service slot deploy with Azure Pipelines or Bicep.

Exam focus

  • Automation = CI/CD pipeline + config-as-code applying a deployable to a target.
  • The same deploy must be idempotent (see pipeline-reliability) — automation and safety guards go together.

deployment-automation · release-definition · azure-pipelines · github-actions · deployment-gate · Path MOC