Introduction Cloud Functions returning HTTP 500 errors means the function itself is failing - either due to unhandled exceptions, running out of memory, or failing to return a proper HTTP response.

Symptoms - HTTP response status 500 from function URL - Cloud Logging shows "finished with status code: 500" - Stack traces in logs showing uncaught exceptions - Memory usage hitting configured limit

Common Causes - Unhandled exceptions in function code (missing try/catch) - Memory limit exceeded (function OOM killed) - Missing dependencies in deployment package - Async function not returning a Promise - Timeout during execution

Step-by-Step Fix 1. **Check function logs**: ```bash gcloud functions logs read <function-name> --region <region> --limit=50 ```

  1. 1.Check memory usage and increase if needed:
  2. 2.```bash
  3. 3.gcloud functions describe <function-name> --region <region> --format="value(availableMemoryMb)"
  4. 4.gcloud functions deploy <function-name> --region <region> --memory=512MB --source=.
  5. 5.`
  6. 6.Add proper error handling:
  7. 7.```javascript
  8. 8.exports.myFunction = async (req, res) => {
  9. 9.try {
  10. 10.const result = await processRequest(req.body);
  11. 11.res.status(200).json(result);
  12. 12.} catch (error) {
  13. 13.console.error('Function failed:', error);
  14. 14.res.status(500).json({ error: 'Internal server error' });
  15. 15.}
  16. 16.};
  17. 17.`

Prevention - Wrap all function code in try/catch blocks - Set memory to 2x the observed peak usage - Use structured logging with error context - Monitor function error rate with Cloud Monitoring alerts