
AWS provides a serverless data lake monitoring solution using Lambda, Glue, EventBridge, and SNS to track ETL job states, capture failures in near-real time, and persist metrics for analysis.


<div><p>This article presents a serverless data lake monitoring solution using AWS services to track ETL pipeline health and performance.</p><ul><li>Capture state changes across all data lake steps and tasks in real-time</li><li>Uses Lambda Destinations and EventBridge to track Lambda and AWS Glue job states</li><li>SNS topic routes all state events to a monitoring Lambda function</li><li>Monitoring data persisted in Athena for historical analysis and reporting</li><li>Slack integration sends near-real-time failure notifications to operations teams</li><li>Solution deployed via AWS CDK in approximately 10 minutes</li><li>Extensible architecture supports monitoring additional AWS services beyond Lambda and Glue</li><li>Sample queries analyze service reliability and identify frequently failing components</li></ul><p>The solution provides a plug-and-play monitoring framework for serverless data lakes, enabling proactive failure detection and performance analysis without significant operational overhead.</p></div>


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