Introducing the Apache Spark troubleshooting agent for Amazon EMR and AWS Glue

This article introduces the Apache Spark troubleshooting agent for Amazon EMR and AWS Glue, an AI-powered tool that automates Spark application diagnostics using natural language.

• Eliminates hours of manual investigation by analyzing Spark failures through natural language prompts
• Operates as a managed MCP server with read-only operations backed by IAM permissions
• Automatically analyzes Spark History Server data, executor logs, and error stack traces
• Provides root cause analysis and actionable recommendations for failed applications
• Integrates with Apache Airflow callbacks for automatic failure notifications to Slack
• Integrates with Amazon EventBridge and Lambda for serverless failure analysis
• Supports Kiro CLI and Kiro IDE for conversational troubleshooting workflows
• Enables building comprehensive monitoring dashboards showing failures, root causes, and fixes
• All tool calls logged to CloudTrail for compliance and auditability

The agent transforms Spark troubleshooting from hours of manual work into minutes of conversational interaction, making advanced diagnostics accessible to all data engineers.