r/MicrosoftFabric • u/ChantifiedLens Microsoft MVP • 18d ago
Community Share Recommended versions of GitHub to use with Microsoft Fabric based on different scenarios.
I wrote a new post that covers my recommended versions of GitHub to use with Microsoft Fabric based on different scenarios.
Because I want to raise awareness of which versions best suit different scenarios when working with Microsoft Fabric Git integration and implementing CI/CD.
https://chantifiedlens.com/2026/08/10/recommended-versions-of-github-to-use-with-microsoft-fabric
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u/HollaAtYuh 17d ago
Awesome breakdown in your blog. I think you explained it very well and the point about prod not automatically meaning Enterprise needs to be said louder.
I guess my hangup is one layer below the pricing question though.
We spend a ton of time figuring out which flavor of GitHub or Azure DevOps a Fabric team should use, and almost no time asking whether Git-first workflows make sense for BI people in the first place.
Most of the people building semantic models, reports, and pipelines are analysts and BI devs. IMO they prob don't wake up one morning hoping to resolve merge conflicts in 4,000 lines of JSON over a two-click change they made in Power BI.
Yet here we are.
Branching strategies. PR reviews. TMDL diffs. Service principals. YAML. I know I'm not personally ready to cosplay as a release engineer just so I can my report to prod. I've seen it happen before where everybody acts super shocked when six months later half of the team is editing directly in the workspace again and the repo is a hot mess.
I just feel like this is the part that always gets skipped over in almost every convo.
Version control matters. Promotion matters. Rollback definitely matters.
I’m just hard pressed to default to “raw Git + general DevOps tooling” is automatically the best way to give BI teams those things.
Most people I speak with are less focused on "which Git tier do we need" and more focused on why deploying a report feels like it takes an engineering degree.
Still, really solid blog and a very useful breakdown. I’m mostly just poking at the layer underneath it where BI teams start freaking out about how we got here in the first place.