To set up monitoring and logging for Apache Superset, follow these steps:
1. Configure Superset’s logging settings in the superset_config.py file by setting appropriate log levels (DEBUG, INFO, WARNING, ERROR) and specifying log handlers (StreamHandler, RotatingFileHandler).
2. Use a centralized logging system like ELK Stack (Elasticsearch, Logstash, Kibana) or Graylog to aggregate logs from multiple instances of Superset.
3. Integrate with external monitoring tools such as Prometheus and Grafana to collect metrics on performance, resource usage, and error rates. Export metrics using Flask middleware and expose them via an endpoint (/metrics).
4. Set up alerting rules in your monitoring tool to notify you when specific thresholds are breached, indicating potential issues.
5. Utilize distributed tracing tools like Jaeger or Zipkin to trace requests across services and identify bottlenecks or failures.
6. Regularly review logs and metrics to proactively detect anomalies, optimize performance, and troubleshoot issues.
