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# Amazon EMR on EKS now supports Apache Spark troubleshooting agent

**[AWS](https://daily.dev/sources/aws)** · 2 min read · 2 upvotes · 0 comments

## Summary

Amazon EMR on EKS now includes an Apache Spark troubleshooting agent that lets data engineers diagnose job failures using natural language. The agent analyzes Spark History Server data, executor logs, and cluster configurations to identify issues like memory errors, data skew, resource contention, and connectivity failures, then provides automated root cause analysis and PySpark code recommendations. This extends the agent's coverage to all EMR deployment options (EC2, Serverless, and EKS). It is accessible via the EMR on EKS console's 'Troubleshoot with AI' button or through MCP-compatible AI coding agents such as Kiro, Claude Code, and Cursor. All operations are read-only, IAM-authenticated, and logged in AWS CloudTrail.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://aws.amazon.com/about-aws/whats-new/2026/07/amazon-emr-eks-spark-troubleshooting>

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Tags: [#aws](https://daily.dev/tags/aws), [#kubernetes](https://daily.dev/tags/kubernetes), [#ai-agents](https://daily.dev/tags/ai-agents), [#mcp](https://daily.dev/tags/mcp), [#apache-spark](https://daily.dev/tags/apache-spark)

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