Introduction
A Power Platform solution can grow from a single contributor's project into a system that multiple people extend and multiple environments rely on. At that point, basic solution export and import no longer provide enough discipline. Without deliberate practices for managing dependencies, configuration, and deployment, even a well-built solution becomes fragile to update and risky to deploy.
Scenario: Contoso's equipment-provisioning solution
Contoso built a custom Dataverse solution that lets employees request replacement equipment. The solution's Employee, Device, Request, and Allowance tables work together. An employee submits a request, and the system checks the employee's allowance for eligibility. An external service reports current device availability, and an IT coordinator tracks approval and fulfillment through to delivery.
As more contributors extend this solution and it moves toward production use with real employee data, the Contoso Power Platform team needs more than manual deployments. They need to understand how components depend on each other, and manage customizations that layer on top of the same components.
They also need to move environment-specific values, like the external availability service endpoint, cleanly between environments. And they need to add an approval gate before changes reach production, and automate deployments so they're consistent and auditable.
In this module, you explore how solution dependencies and layers affect what you can safely change and deploy. You learn how environment variables keep configuration portable across environments. You examine how Microsoft Power Platform pipelines extend deployment with approval gates and custom steps. And you learn how Power Platform Build Tools automate CI/CD for your solutions.
By the end of this module, you're able to govern a Power Platform solution's deployment lifecycle through dependency and layer discipline, portable environment variables, extensible pipelines, and automated CI/CD.