Redeploy A Past Solution Version To A Target Environment

Redeploy A Past Solution Version To A Target Environment Do you need to roll-back to a past solution version? This is possible using the Power Platform Pipel...

Published: Published Jun 1, 2024
Reading time: 2 min read

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Imported reference from Matthew Devaney's blog for learning purposes. Original: https://www.matthewdevaney.com/the-complete-power-platform-pipelines-alm-setup-guide/redeploy-a-past-solution-version-to-a-target-environment/. Author: Matthew Devaney.

Redeploy A Past Solution Version To A Target Environment

Do you need to roll-back to a past solution version? This is possible using the Power Platform Pipelines redeploy feature. It allows you to pick a solution and downgrade to an earlier version. Be careful though, if you are removing Dataverse tables or columns then the data in stored them will be lost. Table Of Contents: • < a

href = "#Open-The-Power-Platform-Pipelines-Run-History" > Open The Power Platform Pipelines Run History </ a > • < a

href = "#Redeploy-A-Solution-With-Power-Platform-Pipelines" > Redeploy A Solution With Power Platform Pipelines </ a > Code language: HTML, XML ( xml )

Open The Power Platform Pipelines Run History

In the development environment , go to the solution you want to rollback and open the Pipelines menu. Select the run history tab.

Redeploy A Solution With Power Platform Pipelines

The run history shows all past deployments to a target environment. To redeploy a past solution version, select the three dots beside it and press choose the redeploy option.

A redeployment will overwrite the current solution in the target environment. If that solution has a different set of Dataverse tables and columns it could result in data loss. Before you redeploy, take a moment to determine the differences between solutions and understand what will be deleted. Next Steps

Continue to the next steps in the Power Platform Pipelines & ALM Setup Guide.

Next: Perform A Delegated Deployment Using A Service Account >> Did You Enjoy This Article? 😺

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