Use this guide to debug production 500 errors. You'll identify the problem, trace it to a root cause, and deploy a verified fix.

Use this block when you already know what you're doing and want the full command sequence. Use the steps below for context and checks.

# 1. Find 500 errors in production
vercel logs --environment production --status-code 5xx --since 1h
 
# 2. Get structured data to filter programmatically
vercel logs --environment production --status-code 500 --json --since 1h \
  | jq '{path: .path, message: .message, timestamp: .timestamp}'
 
# 3. Narrow the time range once you know when errors started
vercel logs --environment production --status-code 500 --since 2h --until 1h
 
# 4. Identify the failing deployment
vercel list --prod
vercel inspect <deployment-url>
vercel inspect <deployment-url> --logs    # build logs
 
# 5. Correlate with source code
git log --oneline -10
git show <commit-sha> --stat
 
# 6. Fix locally, then deploy a preview
vercel deploy
 
# 7. Verify the fix against the preview
vercel curl /api/failing-route --deployment <preview-url>
vercel logs --deployment <preview-deployment-id> --level error
 
# 8. Ship to production
vercel deploy --prod
 
# 9. Confirm the fix
vercel logs --environment production --status-code 500 --since 5m
 
# IF you cannot identify the failing deployment from logs:
vercel bisect --good <good-deployment-url> --bad <bad-deployment-url> --path /api/failing-route
 
# IF errors are severe and you need to restore service before debugging:
vercel rollback <previous-deployment-url-or-id>
vercel rollback status

Start by pulling production error logs from the last hour. The --status-code 5xx filter catches all server errors, not just 500s, so you get the full picture:

vercel logs --environment production --status-code 5xx --since 1h

If the output is noisy, narrow it down to a specific status code:

vercel logs --environment production --status-code 500 --since 1h

At this point, you're looking for patterns: are the errors concentrated on one route, or spread across many? Is there a common error message?

Switch to JSON output so you can filter and search programmatically. Pipe through jq to extract the fields you need:

vercel logs --environment production --status-code 500 --json --since 1h \
  | jq '{path: .path, message: .message, timestamp: .timestamp}'

If you spot a recurring error message, search for it directly:

vercel logs --environment production --query "Cannot read properties of undefined" --since 1h --expand

The --expand flag shows full log messages instead of truncating them, which is important when error stack traces get cut off.

Once you identify when the errors started, use --since and --until to zoom into that window. This reduces noise and helps you spot the exact trigger:

vercel logs --environment production --status-code 500 --since 2h --until 1h

If you have a specific request ID from an error report or alert, pull the full details for that request:

vercel logs --request-id req_xxxxx --expand

Check which deployment is currently serving production traffic. If errors started recently, compare the current deployment against earlier ones:

vercel list --prod

To see full details about the current production deployment, including the git commit that triggered it:

vercel inspect <deployment-url>

If you need the build logs to check for warnings or errors during the build:

vercel inspect <deployment-url> --logs

At this point, you know the failing route, the error message, and which deployment introduced the problem. Use the git commit from vercel inspect to find the relevant code change:

git log --oneline -10
git show <commit-sha> --stat

Read the source code for the failing route and identify the bug. Common causes of 500 errors include:

• Unhandled null or undefined values from API responses
• Missing environment variables
• Database connection failures
• Type mismatches after a dependency update

After making the fix locally, deploy a preview to test it without affecting production:

vercel deploy

This outputs a preview URL. Save it for the next step.

Test the specific route that was failing using vercel curl, which automatically handles deployment protection:

vercel curl /api/failing-route --deployment <preview-url>

Check the response status and body. If you need timing details to confirm the fix didn't introduce latency:

vercel httpstat /api/failing-route --deployment <preview-url>

Check the preview deployment's logs to confirm no new errors:

vercel logs --deployment <preview-deployment-id> --level error

Once the preview passes verification, deploy to production:

vercel deploy --prod

After the production deployment completes, verify that the errors have stopped:

vercel logs --environment production --status-code 500 --since 5m

If the output is empty, the fix is working.

If the error started between two deployments and you can't pinpoint the change, use vercel bisect to binary-search through your deployment history:

vercel bisect --good <good-deployment-url> --bad <bad-deployment-url> --path /api/failing-route

This steps through deployments between the good and bad ones, letting you identify exactly which deployment introduced the regression.

If the errors are severe and you need to restore service while you investigate, roll back to a previous production deployment. Pass the URL or deployment ID you want to roll back to:

vercel rollback <previous-deployment-url-or-id>

This points production traffic to the deployment you specify. You can then debug at your own pace and deploy the fix when it's ready.

To check the rollback status:

vercel rollback status

• vercel logs
• vercel inspect
• vercel curl
• vercel bisect
• vercel rollback
• Observability