Most teams grow fast, then stall at deployment. This session gives you an end‑to‑end ALM playbook for Power Platform that works for both makers and pro‑devs—without manual-export chaos.

We’ll design Solution structure for reliability (Core vs. App vs. Data layers; managed vs. unmanaged), map environment variables and connection references, and walk through application users/service principals so deployments don’t depend on one person’s account. Then we’ll wire up Pipelines for Power Platform with GitHub or Azure DevOps: approvals, gates, rollback, and auditable release notes.

We’ll cover how to retrofit existing “wild” apps/flows into Solutions, how to handle Dataverse schema changes safely, and how to package custom connectors and API endpoints.

Finally, we’ll add observability and value tracking so every release is measurable, repeatable, and fundable.

You’ll learn:
✅ Solution segmentation patterns (Core/App/Data) and when to go managed
✅ How to convert non‑solution assets cleanly and avoid “works‑on‑my‑tenant” moments
✅ Environment variables, connection references, and secrets without human bottlenecks
✅ Pipelines patterns (GitHub/Azure DevOps) with approvals, gates, and rollback plans
✅ Handling Dataverse changes, dependencies, and layered updates confidently
✅ Packaging custom connectors and API Management endpoints with governance baked in

Additional Details:
- Audience: Platform admins, senior makers, release/DevOps engineers, solution architects
- Level / Duration: Intermediate; 60 minutes (also available as a 90‑minute deep dive)
- Demos / Artifacts: Pipeline template (GitHub or ADO), ALM checklist, rollback playbook, Solution segmentation map, sample connection reference matrix
- Prereqs: Basic familiarity with Solutions and Power Apps/Power Automate