Databricks logs collection with Azure Monitor at a Workspace Scale

Databricks is an optimized data analytics platform based on Apache Spark. Monitoring Databricks plateform is crucial to ensure data quality, job performance, and security issues by limiting access to production workspaces.

Spark application metrics, logs, and events produced by a Databricks workspace can be customized, sent, and centralized to various monitoring platforms including Azure Monitor Logs. This tool, formerly called Log Analytics by Microsoft, is an Azure cloud service integrated into Azure Monitor that collects and stores logs from cloud and on-premises environments. It provide a mean for querying logs from data collected using a read-only query language named “Kusto”, for building “Workbooks” dashboards and setting up alerts on identified patterns.

This article focus on automating the export of Databricks logs to a Log Analytics workspace by using the Spark-monitoring library at a workspace scale.

Overview of Databricks log sending


Overview of Spark-monitoring library

This section is an overview of the architecture. More

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The collection’s site very significantly matches this concept. On browsing, an Award BIOS screen flashes up. From there, we get a Home windows 95-like interface comprehensive of back links to other websites that emulate a laptop desktop structure. There is even a 3D screensaver that pops up if you mouse away for too extensive.

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Rezilion was established by Liran Tancman (CEO) and Shlomi Boutnaru (CTO), who in 2013 co-founded CyActive, which was bought to PayPal for tens of thousands and thousands of bucks and functioned as an R&D heart for the fiscal huge. Both equally corporations built Israel’s southern city of Be’er Sheva their dwelling. &#13
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Rezilion CEO Liran Tancman. Photo: Rezilion Rezilion CEO Liran Tancman. Image: Rezilion

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Rezilion presently employs 50

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