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AWS emr documentation change

Service: emr · 2026-06-13 · Documentation low

File: emr/latest/ReleaseGuide/spark-troubleshoot.md

Summary

Updated title to include AWS Glue and removed preview status label from MCP Server component

Security assessment

Changes expand product coverage to AWS Glue and remove preview designation without modifying security-related content. No evidence of security vulnerability fixes or security feature additions.

Diff

diff --git a/emr/latest/ReleaseGuide/spark-troubleshoot.md b/emr/latest/ReleaseGuide/spark-troubleshoot.md
index 5f8804c45..63cbaa7f5 100644
--- a//emr/latest/ReleaseGuide/spark-troubleshoot.md
+++ b//emr/latest/ReleaseGuide/spark-troubleshoot.md
@@ -9 +9 @@ IntroductionArchitecture Overview
-# What is Apache Spark Troubleshooting Agent for Amazon EMR
+# What is Apache Spark Troubleshooting Agent for Amazon EMR and AWS Glue
@@ -23 +23 @@ The Apache Spark Troubleshooting Agent is available at no additional cost as par
-The troubleshooting agent has three main components: an MCP-compatible AI Assistant in your development environment for interaction, the [MCP Proxy for AWS](https://github.com/aws/mcp-proxy-for-aws) that handles secure communication and authentication between your client and AWS services, and the Amazon SageMaker Unified Studio Remote MCP Server `(preview)` that provides specialized Spark troubleshooting tools for Amazon EMR, AWS Glue and Amazon SageMaker Notebooks. This diagram illustrates how you interact with the Amazon SageMaker Unified Studio Remote MCP Server through your AI Assistant.
+The troubleshooting agent has three main components: an MCP-compatible AI Assistant in your development environment for interaction, the [MCP Proxy for AWS](https://github.com/aws/mcp-proxy-for-aws) that handles secure communication and authentication between your client and AWS services, and the Amazon SageMaker Unified Studio Remote MCP Server that provides specialized Spark troubleshooting tools for Amazon EMR, AWS Glue and Amazon SageMaker Notebooks. This diagram illustrates how you interact with the Amazon SageMaker Unified Studio Remote MCP Server through your AI Assistant.