Optimize Spark and Databricks jobs with Datadog
Summary
Datadog’s new Jobs Monitoring feature in its Data Observability platform helps data engineers proactively and reactively optimize expensive Spark and Databricks jobs by identifying high-impact opportunities for cost and duration savings. By leveraging AI tools like Bits Code and the Datadog MCP Server, the feature enables engineers to diagnose performance bottlenecks and implement automated code fixes directly within their existing AI-assisted development workflows.
Read the Original Article
This article originally appeared on Datadog | The Monitor blog.
Read Full Article on Original Site
