Accelerate Apache Spark debugging on Amazon EMR with AWS DevOps Agent

This article demonstrates how to extend AWS DevOps Agent with Apache Spark troubleshooting capabilities by registering a managed MCP server to investigate failing Spark workloads on Amazon EMR.

• AWS DevOps Agent connects to Apache Spark Troubleshooting Agent through AWS PrivateLink, keeping traffic on AWS network
• MCP server analyzes Spark History Server event logs, query plans, and application source code to identify root causes
• Agent automatically discovers MCP tools and interleaves them with native AWS API calls during investigations
• CloudFormation template provisions VPC, Interface VPC Endpoint, IAM roles, and demo EMR Serverless application
• Demo shows agent identifying Python memory exhaustion bug in PySpark code with line-level precision
• Investigation chains CloudWatch alarms, EMR job metadata, and Spark internals analysis in single chat session

Integrating the Apache Spark Troubleshooting Agent enables AWS DevOps Agent to diagnose complex Spark failures autonomously without manual log analysis.