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Microsoft Power Platform

Governance & ALM

Let makers move fast while IT keeps control: environments, data policies, monitoring and a disciplined release process.

Governance & application lifecycle management

Enterprise governance is critical for Power Platform success. Learn more about Power Platform governance.

Environment strategy

  • Development environments: Isolated environments for app builders
  • Test/QA environments: Validation and user acceptance testing
  • Production environments: Managed solutions with strict access control
  • Default environment: Trial apps and personal productivity solutions
  • Environment groups: Group Managed Environments and enforce rules centrally

Data loss prevention (DLP)

Protect organizational data with DLP policies:

A data loss prevention policy at work

Policy: Corporate dataapplies toDevTestProdDefault

Unclassified connectors

DataverseSharePointOutlookTeamsDropboxGmailXHTTPFTP

Business

Non-business

Blocked

Illustrative example

Connectors are classified once; from then on every flow and app is checked automatically, and mixing business data with personal services is stopped.
  • Connector classification: Business, non-business, and blocked connectors
  • Policy scope: Environment-level or tenant-wide policies
  • Custom connector control: Restrict custom connector creation
  • HTTP action blocking: Prevent direct API calls to sensitive endpoints

Center of Excellence (CoE)

Start from the inventory, usage, monitoring and actions in the Power Platform admin center; the CoE Starter Kit is no longer actively maintained, but its practices still apply:

  • Inventory & monitoring: Track all apps, flows, and resources
  • Usage analytics: Dashboards for adoption and user engagement
  • Compliance checks: Automated scanning for policy violations
  • Maker support: Self-service resources and training for citizen developers
  • Innovation pipeline: Formalize app idea submission and approval

ALM with solutions

Professional ALM practices for Power Platform:

  • Solution layers: Managed and unmanaged solutions for proper layering
  • Source control: Git integration with solution export/import
  • CI/CD pipelines: Azure DevOps or GitHub Actions for automated deployment
  • Environment variables: Externalize configuration for environment-specific settings
  • Connection references: Manage connector authentication across environments
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