Introduction
As organizations scale their Power Platform adoption, managing changes across multiple teams and environments becomes increasingly complex. Source control and automated deployments provide the governance, traceability, and repeatability that growing organizations need.
Scenario
Zava's Power Platform environment has grown from a handful of apps to dozens of solutions maintained by multiple teams. The company's initial approach of using in-product pipelines for deployments worked well when a single admin managed everything. Now, however, the teams face challenges:
- Multiple developers modify the same solution components simultaneously, creating conflicts that are difficult to resolve without version history.
- Auditors require a complete record of who changed what and when, with the ability to review changes before they reach production.
- A recent failed deployment to production took hours to roll back because there was no automated way to revert to a known-good state.
- The compliance team requires solution checker validation on every deployment, but manual checks are inconsistently applied.
To address these challenges, Zava's platform team decides to extend their ALM practices beyond in-product pipelines by connecting their Dataverse environments to Git repositories and building automated CI/CD pipelines with quality gates.
What you learn
In this module, you learn how to connect Dataverse environments to Git for source control. You also build automated deployment pipelines using Azure DevOps or GitHub Actions, and manage complex deployment scenarios involving solution layers, connection references, and non-solution components.
By the end of this module, you'll be able to configure Git integration, build a CI/CD pipeline with quality gates, and manage advanced deployment scenarios for Power Platform solutions.