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