Why ALM Matters for Power Platform
Application Lifecycle Management (ALM) replaces ad hoc, single-environment app building with a structured process: apps and flows are developed inside solutions, moved through separate environments, and version-controlled, so changes are tested before they ever reach the people relying on the app daily. Without ALM, makers risk editing production apps directly, with no rollback path and no record of what changed or why.
Cricket analogy: ALM for Power Platform is like a franchise's full player pathway — from academy trials through domestic cricket to international selection — a structured progression instead of a rookie walking straight onto the international pitch.
Solutions: Unmanaged vs Managed
Unmanaged solutions are fully editable and used for active development, letting makers add, remove, and modify components freely inside a Development environment. Managed solutions are the locked, packaged form exported for deployment into Test and Production, supporting clean uninstall and predictable version layering that unmanaged solutions don't provide.
Cricket analogy: An unmanaged solution is like a training net where players freely adjust their technique, while a managed solution is like the final, locked team sheet handed to the umpire before the match starts.
# Export an unmanaged solution from the dev environment
pac solution export --name PowerAppsCourse --path ./PowerAppsCourse_unmanaged.zip --managed false
# Unpack for source control
pac solution unpack --zipfile ./PowerAppsCourse_unmanaged.zip --folder ./src/PowerAppsCourse
# Later, export and import the managed version into Test/Prod
pac solution export --name PowerAppsCourse --path ./PowerAppsCourse_managed.zip --managed true
pac solution import --path ./PowerAppsCourse_managed.zip --environment https://contoso-test.crm.dynamics.comEnvironments and the Deployment Pipeline
A typical ALM setup uses at least three Dataverse environments — Development, Test/UAT, and Production — with solutions promoted through them in order rather than makers editing Production directly. The Power Platform pipelines feature, or a custom Azure DevOps/GitHub Actions pipeline built on the pac CLI, automates exporting, packing, and importing the solution at each stage, reducing manual error.
Cricket analogy: A dev-test-prod environment chain is like a bowler progressing through nets, then a warm-up match, before finally playing the actual international fixture — each stage catching issues before the real contest.
A recommended baseline is one Development environment per team or maker group, a shared Test/UAT environment, and one Production environment, each backed by Dataverse. Automate promotion with the built-in Power Platform pipelines feature, or with Azure DevOps/GitHub Actions calling the pac CLI, and use environment variables to hold per-environment configuration like API URLs or SharePoint site addresses.
Managing Dependencies and Connection References
Solution components can depend on each other — a flow depends on the connection references it uses, a canvas app depends on the flows and tables it calls — and the target environment must already contain any dependency or the import fails. Connection references decouple actual credentials from the solution package, defining a named role (like 'SharePoint connection') that's mapped to a real, authenticated connection separately in each environment after import.
Cricket analogy: A connection reference in a solution is like a squad list naming a role, say 'wicketkeeper', without hardcoding which specific player fills it — each environment (ground) assigns its own actual player at deployment time.
Editing a managed solution's components directly in a downstream environment creates unsupported customizations that complicate future updates and can conflict with the managed layer. Hard dependencies on components missing from the target environment will block import outright, and connection references never carry credentials — they must be re-mapped to a real, authenticated connection in every new environment after each import.
- Solutions package apps, flows, tables, and other components together as the unit of Power Platform ALM deployment.
- Unmanaged solutions stay editable for active development; managed solutions are the locked package deployed to test and production.
- A standard environment strategy separates Development, Test/UAT, and Production into distinct Dataverse environments.
- Connection references and environment variables decouple credentials and per-environment config from the solution package.
- pac CLI (or Power Platform pipelines/Azure DevOps) automates export, unpack, source control, pack, and import for repeatable deployments.
- Editing managed solution components directly in a downstream environment creates unsupported customizations.
- Solution component dependencies must already exist in the target environment or the import will fail.
Practice what you learned
1. What is the key difference between an unmanaged and a managed solution?
2. What Power Platform ALM component decouples an app's data source credentials from the solution package?
3. Which CLI is commonly used to export, unpack, pack, and import solutions for source control and automation?
4. What typically happens if you directly edit components of a managed solution in a downstream environment?
5. What is the recommended environment strategy for Power Platform ALM?
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