Topical cluster · for Power Platform Admins, Solution Architects, CoE Leads, and IT directors with Power Platform under their org
Power Platform Governance & Operations
Field-tested patterns for running Power Automate, Power Apps, and Dataverse at scale. Naming standards, ALM, environment strategy, flow inventory, source control, and Center of Excellence frameworks. Written for Power Platform Admins, Solution Architects, and CoE Leads who have to ship a working program, not slideware.
Articles
21
Latest in this cluster
What this cluster covers
Subtopics in power platform governance & operations
- Power Automate naming, ALM, and source control
- Environment strategy: dev / test / prod separation
- Flow inventory and CoE Starter Kit operations
- Solution-aware flow patterns and pipeline ALM
- Dataverse schema, ERD, and solution ZIP automation
- Spec-driven Power Automate development
More in this cluster (20)
Common questions
Power Platform Governance & Operations FAQ
The questions that come up most often in power platform governance & operations engagements. Answers grounded in Microsoft documentation and field experience.
Do I need the CoE Starter Kit, or can I build my own governance?
Start with CoE Starter Kit. It gives you flow inventory, app inventory, maker analytics, and admin alerts in one weekend of deployment work versus six months of custom build. Most organizations need to extend CoE rather than replace it: add custom inventory queries, alerting wired to ITSM, and per-environment reporting. The kit is the floor, not the ceiling.
What is the right environment strategy for Power Platform?
Three environments per business unit minimum: developer (per-maker isolated), test (shared, pipeline target), production (managed, restricted). Default Environment is for personal/shadow use only. Solution-aware everything in dev/test/prod. Power Platform Pipelines or Azure DevOps for promotion. Avoid the anti-pattern of "all makers in Default Environment", which creates an ungovernable mess that costs more to clean up than it saved on day one.
Should Power Automate flows be in solutions or loose?
Solutions, always, in production. Loose flows cannot move between environments cleanly, cannot be source-controlled, and cannot be promoted via pipelines. The only acceptable use of loose flows is one-off personal automation in the maker's personal environment. Anything that touches production data or business-critical workflows must live in a solution.
How do I source-control Power Automate flows?
Export the solution as unmanaged, unpack it with Solution Packager (`pac solution unpack`), commit the unpacked artifacts to git. Each flow becomes a JSON file. Repack on import. Power Platform CLI plus a small bash wrapper handles the round-trip. The mistake teams make is committing the .zip directly: it is opaque to git diff and merges destructively.
Other clusters
AI Cost & ROI
For ctos.
AI Governance & Risk
For it directors.
AI Strategy & Readiness
For ctos.
AI Architecture
For it directors.
Microsoft Copilot Governance
For it directors.
Copilot Adoption & Recovery
For it directors and execs running copilot programs that are not converting to value.
Architecture Documentation & Diagramming
For solution architects and senior engineers who own architecture documentation.