![]() ![]() ![]() Pass context about job runs into job tasks.Share information between tasks in a Databricks job.# For a correct indentation, paste snippets copied from Grafana Cloud at the beginning of the line. # Add here any snippet that belongs to the `integrations` section. Regex: (prometheus_target_.*|prometheus_sd_discovered_targets|agent_build.*|agent_wal_samples_appended_total|process_start_time_seconds) This example also includes metrics that are sent to monitor your Grafana Agent instance. Refer to the following Grafana Agent configuration for a complete example that contains all the snippets used for the Apache Airflow integration. Format should be like ''įirstline: '\'įull example configuration for Grafana Agent Replacement: 'integrations/apache-airflow' Ensure that the instance under the agent statsd_exporter matches the instance labels under the logs static_configs as well as the pipeline_stages match selector. instance label must be set to a value that uniquely identifies your Apache Airflow system.Ensure that the job under the agent relabel_configs matches the job labels under the logs static_configs as well as the pipeline_stages match selector. job must be set to integrations/apache-airflow.job and instance label values must match for the Apache Airflow integration and logs scrape config in your agent configuration file.If you want to show logs and metrics signals correlated in your dashboards as a single pane of glass, ensure the following: Make sure to change listen_udp in the snippet according to your environment. Post-install configuration for the Apache Airflow integrationĪfter enabling the metrics generation, instruct the Grafana Agent to scrape your Apache Airflow system. Click Install to add this integration’s pre-built dashboard and alerts to your Grafana Cloud instance, and you can start monitoring your Apache Airflow setup.Review the prerequisites in the Configuration Details tab and set up Grafana Agent to send Apache Airflow metrics and logs to your Grafana Cloud instance.Find Apache Airflow and click its tile to open the integration.In your Grafana Cloud stack, click Connections in the left-hand menu.Install Apache Airflow integration for Grafana Cloud Setup Airflow to send metrics to StatsDįirst you must install the StatsD requirement: pip install 'apache-airflow'Īlso, the following lines must be added to your airflow.cfg: In order for the integration to properly work, Airflow must be setup to send metrics to StatsD. This integration includes 4 useful alerts and 1 pre-built dashboard to help monitor and visualize Apache Airflow metrics and logs. This integration supports Apache Airflow versions 2.5.0+. Metrics include DAG (Directed Acyclic Graph) failures, DAG durations, task failures, task durations, scheduler details, executor tasks, and pool task slots for an Apache Airflow system. This integration for Grafana Cloud allows users to collect metrics, scheduler logs, and task logs for monitoring an Apache Airflow system. Grafana Cloud Apache Airflow integration for Grafana CloudĪpache Airflow is an open-source platform for programmatically authoring, scheduling, and monitoring workflows, enabling the orchestration of complex data pipelines and task dependencies. ![]()
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