Monitor Airflow with Datadog
Datadog | The Monitor blog

Monitor Airflow with Datadog


Summary

This article details how to effectively monitor Apache Airflow deployments for performance and troubleshooting. It emphasizes leveraging Airflow's built-in monitoring tools like the UI, logs, and recent task durations, while also suggesting integrations with external solutions like Prometheus, Grafana, and data lineage tools for deeper insights into DAG health and data dependencies. Ultimately, the goal is to proactively identify and resolve issues, ensuring reliable and efficient data pipelines.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
Datadog achieves ISO 42001 certification for responsible AI
Datadog achieves ISO 42001 certification for responsible AI

Datadog | The Monitor blog Mar 26, 2026 27 views

2
Understand session replays faster with AI summaries and smart chapters
Understand session replays faster with AI summaries and smart chapters

Datadog | The Monitor blog Apr 2, 2026 22 views

3
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 20 views

4
Integrate Recorded Future threat intelligence with Datadog Cloud SIEM
Integrate Recorded Future threat intelligence with Datadog Cloud SIEM

Datadog | The Monitor blog Apr 9, 2026 19 views

5
Platform engineering metrics: What to measure and what to ignore
Platform engineering metrics: What to measure and what to ignore

Datadog | The Monitor blog Apr 9, 2026 18 views