Forum Discussion
Git commit API endpoint issue - HTTP status code 500, 'GitProviderOperationFailed'
Hi sean_cochran,
Hope you're doing well!
your retry logic is compensating correctly for a real upstream instability. The fix is to slow down the commit cadence and/or upgrade to a GitHub App token for higher limits.
Try this step by step:
1. Add a delay between workspace commits (throttle proactively)
Even a 1–2 second time.sleep() between workspace iterations significantly reduces the chance of triggering GitHub's secondary limits.
2. Check GitHub rate limit headers
After each API response, inspect X-RateLimit-Remaining and X-RateLimit-Reset headers (if Fabric exposes them). If not, add a deliberate pause when you detect the 500.
3. Use a GitHub App token instead of a PAT
GitHub App installation tokens get higher rate limits that scale with the number of repositories, installations with more than 20 repos get an additional 50 requests/hour per repo, up to 12,500 requests/hour. (GitHub) A PAT is capped at the standard user limits.
4. Serialize commits, don't parallelize
If your notebook commits to multiple workspaces concurrently, switch to sequential processing with a small inter-commit delay.
5. Reduce backoff factor
A factor of 0.5 means waits of 0.5s, 1s, 2s, 4s, 8s... Try a factor of 1 or 2 with a max of 3 retries, this gives GitHub time to clear the secondary limit without being excessive.
Hope this helps! If that works, don't forget to mark as solution and thumbs up in order to help others.
Best regards,
Oussama (Data Consultant - Expert Fabric & Power BI)
Hi sean_cochran,
Hope you're doing well!
your retry logic is compensating correctly for a real upstream instability. The fix is to slow down the commit cadence and/or upgrade to a GitHub App token for higher limits.
Try this step by step:
1. Add a delay between workspace commits (throttle proactively)
Even a 1–2 second time.sleep() between workspace iterations significantly reduces the chance of triggering GitHub's secondary limits.
2. Check GitHub rate limit headers
After each API response, inspect X-RateLimit-Remaining and X-RateLimit-Reset headers (if Fabric exposes them). If not, add a deliberate pause when you detect the 500.
3. Use a GitHub App token instead of a PAT
GitHub App installation tokens get higher rate limits that scale with the number of repositories, installations with more than 20 repos get an additional 50 requests/hour per repo, up to 12,500 requests/hour. (GitHub) A PAT is capped at the standard user limits.
4. Serialize commits, don't parallelize
If your notebook commits to multiple workspaces concurrently, switch to sequential processing with a small inter-commit delay.
5. Reduce backoff factor
A factor of 0.5 means waits of 0.5s, 1s, 2s, 4s, 8s... Try a factor of 1 or 2 with a max of 3 retries, this gives GitHub time to clear the secondary limit without being excessive.
Hope this helps! If that works, don't forget to mark as solution and thumbs up in order to help others.
Best regards,
Oussama (Data Consultant - Expert Fabric & Power BI)
Thank you for your response! This was very helpful. I'm a little frustrated that Microsoft's wrapper around the Github API has these hidden constraints. Passing on another system's rate limiting behavior without documenting it is poor practice. Regardless, I appreciate your help! I'll add in delays between workspaces and handle things sequentially.
