Hi everyone, was comparing prefect vs prefect cloud vs airflow in perplexity ai and I got:
Prefect OSS vs. Prefect Cloud: Prefect OSS does not provide built-in system metrics, which are available in Prefect Cloud. These system metrics include performance indicators and health checks that help users monitor the overall state of their workflows and infrastructure. This means that while you can run workflows using Prefect OSS, you won't have access to advanced monitoring features without upgrading to Prefect Cloud. Apache Airflow's Capabilities: In contrast, Apache Airflow OSS offers a robust set of metrics and monitoring capabilities without requiring a paid subscription. Users can configure Airflow to collect and visualize system metrics through integration with tools like StatsD and OpenTelemetry.
Monitoring and Metrics in Apache Airflow
Metrics Collection:
Airflow can be configured to send metrics to StatsD or OpenTelemetry, allowing for real-time performance tracking.
Users can set up their airflow.cfg file to enable StatsD metrics collection, which can then be visualized using tools like Prometheus and Grafana.
Health Checks:
Airflow provides health checks via CLI and HTTP endpoints, enabling users to monitor the status of various components (e.g., Scheduler, Workers).
Detailed Logging:
Airflow logs detailed information about task execution, which can be crucial for debugging and performance analysis.
SLA Monitoring:
Users can define Service Level Agreements (SLAs) within their DAGs to monitor task completion times. If tasks exceed the defined SLA, notifications can be sent automatically.
Integration with External Tools:
Users can integrate Airflow with external observability tools (e.g., Grafana) for enhanced visualization of metrics, allowing for deeper insights into pipeline performance.
Is this true?