Implement detailed logging and monitoring to track usage, errors, and performance of the PDF generation API.
Details
-
Log each request with metadata:
- User ID
- Input type (HTML/Markdown)
- Input size
- Timestamp
- Processing duration
- Success/failure status
-
Log detailed error info on failures:
- Stack traces
- Input snippets (if safe)
-
Integrate with centralized logging system (e.g., ELK stack, Datadog, or similar).
-
Set up monitoring dashboards and alerts for:
- Error rate spikes
- Latency issues
- Throughput drops
-
Ensure logs respect user privacy and avoid logging sensitive info.
Subtasks
- Implement structured logging for API and service layers.
- Configure monitoring and alerting tools.
- Test logging under normal and failure conditions.
Acceptance Criteria
- Logs capture detailed info per request.
- Monitoring dashboards display key metrics and alerts.
- Logs and metrics help diagnose production issues.
Implement detailed logging and monitoring to track usage, errors, and performance of the PDF generation API.
Details
Log each request with metadata:
Log detailed error info on failures:
Integrate with centralized logging system (e.g., ELK stack, Datadog, or similar).
Set up monitoring dashboards and alerts for:
Ensure logs respect user privacy and avoid logging sensitive info.
Subtasks
Acceptance Criteria