Monitor Databricks with Datadog

The Datadog integration for Databricks provides end-to-end visibility into analytics, data engineering, and AI/ML workloads by consolidating metrics from clusters, jobs, and model serving endpoints. This allows users to optimize performance, maintain data quality through observability, and troubleshoot infrastructure issues within a single platform. Additionally, the integration helps organizations manage expenses by tracking and attributing Databricks usage and cloud spend.