Introduction
Moving solutions between environments shouldn't feel like a high-stakes manual operation. Yet many organizations still export solution files manually, put them in a shared location or email them to colleagues, and import with crossed fingers. The result is often broken connections, missing configurations, or overwrites that damage production data.
Scenario: Zava's inconsistent deployments
Zava's Power Platform estate spans three tiers: development environments where makers build, test environments where QA validates, and production environments where business users depend on solutions daily. The problem isn't the structure. It's how solutions move between tiers.
Today, Zava's deployment process looks different depending on who's doing it:
- One maker exports unmanaged solutions from dev and imports directly to production - skipping test entirely.
- Another exports managed solutions but forgets to update connection references, leaving flows broken until someone notices.
- The Zava Pay team documents environment variables in a spreadsheet, but values drift as the team grows.
- Nobody runs solution checker before deploying, so performance issues only surface after users complain.
These inconsistencies create downtime, confusion, and risk - especially in Zava Pay's regulated environment where every deployment should be traceable and validated.
In this module, you learn how to package customizations into Dataverse solutions with proper publishers and layering. You configure environment variables and connection references for portable deployments. You also use Power Platform pipelines to automate consistent, validated deployments from development through production.
By the end of this module, you're able to set up and operate a pipeline-based deployment workflow. This workflow eliminates manual errors, enforces quality gates, and gives every deployment a traceable history.