Previously, I have been working on demonstrating how in an enterprise, Platform Engineering Team can provide curated, compliant templates that provides deployment strategies out of the box for workload teams. You can read all about that here: https://moimhossain.com/2026/01/06/blueprints-for-unified-azure-pipelines-governing-rolling-blue-green-and-canary-deployments/
I have put a bit more work on top of that concept to make it more easy to discover in an enterprise, manage life-time of these templates, tracking usage in workload pipelines etc. The concept is demonstrated into this short demo-video.
In this video, I show how to design a single, governed Azure DevOps YAML pipeline that supports:
- Rolling deployments
- Canary releases
- Blue-green deployments
…without duplicating pipelines, stages, or jobs.
We’ll walk through a real-world platform-engineering pattern using:
✔ YAML templates
✔ extends vs includes
✔ deployment jobs & environments
✔ compile-time strategy selection (Simple | Canary | Blue-Green)
✔ multi-level template inheritance
This approach lets platform teams enforce structure (CI, CD, traffic shifting, approvals),
while application teams only provide the intent — not the plumbing.
📌 What you’ll learn:
- How to structure base and abstract Azure Pipeline templates
- How to let teams pick a deployment strategy via parameters
- How to centralize governance without blocking teams
- How to scale pipelines across dozens (or hundreds) of workloads
📖 Related article:
https://moimhossain.com/2026/01/06/blueprints-for-unified-azure-pipelines-governing-rolling-blue-green-and-canary-deployments/
If you’re doing platform engineering, DevOps at scale, or trying to stop YAML sprawl — this one’s for you.
Reverse Engineering 