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Power Platform ALM: from development to production

A complete guide to Application Lifecycle Management in Power Platform. From environments and solutions to CI/CD pipelines and governance.

February 28, 20269 minMiquel van Dongen
AI Summary

 

Why ALM matters

Many organizations start with Power Platform in a single environment. Apps are built, flows are created and Dataverse tables are added. That works fine as a proof-of-concept, but once solutions become business-critical, you run into problems: how do you deploy changes without disrupting production? How do you maintain version control? How do you prevent someone from accidentally breaking a production flow?

Application Lifecycle Management (ALM) answers these questions. It's the set of processes, tools and best practices for managing the lifecycle of your Power Platform solutions.

Setting up environments

The foundation of good ALM is a clear environment strategy. At minimum, you need three environments:

  • Development — Where makers and developers build new functionality. Each developer or team ideally has their own dev environment
  • Test/UAT — Where changes are tested before going to production. Users perform acceptance tests
  • Production — The live environment where end users work. Changes are never made directly here

Optionally, you can add a sandbox environment for experiments and a staging environment for final validation.

Solutions and version control

In Power Platform, you package your components (apps, flows, tables, security roles) into solutions. Solutions are the deployable units — the mechanism by which you move changes from one environment to another.

Best practices for solutions:

  • Use managed solutions for deployment to test and production
  • Keep solutions modular — split large solutions into logical units
  • Use solution layering — a base solution with core components and separate solutions for customizations
  • Export solutions to source control (Azure DevOps or GitHub) for version management and code review

Setting up CI/CD pipelines

With Power Platform Pipelines (built-in) or Azure DevOps/GitHub Actions, you can automate the deployment process:

  1. A developer completes a change in the development environment
  2. The solution is automatically exported and saved in source control
  3. A pipeline imports the solution into the test environment
  4. After approval, the same solution is imported into production

This eliminates manual import/export steps and ensures a reliable, repeatable deployment process.

Governance and best practices

ALM is more than tooling — it's also about agreements and processes:

  • Naming conventions — Consistent naming for apps, flows, tables and solutions
  • Environment security — Restrict who can edit production environments and who can import solutions
  • Change management — Document changes and communicate releases to users
  • DLP policies — Data Loss Prevention policies to control which connectors can be used in which environments
  • Monitoring — Use the Power Platform Admin Center and CoE Toolkit to monitor usage and performance

A good ALM strategy saves you a lot of time in the long run, prevents production disruptions and makes your Power Platform investment scalable.

Want to learn more about Power Platform governance? Breathbase helps you set up a professional ALM strategy. Also check out our Power Platform training to teach your team ALM skills.

Tags

Power PlatformALMDevOpsSolutionsGovernance
Miquel van Dongen

Miquel van Dongen

Founder & Consultant @ Breathbase

Specialist in Microsoft Dynamics 365, Power Platform and AI-driven software development. Helps organizations get the most out of their digital transformation.

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