Amazon EMR Serverless now makes it easier to specify fine grained log configurations
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This article announces fine-grained log configuration capabilities for Amazon EMR Serverless, enabling better troubleshooting of Apache Spark jobs.
- Custom Log4j2 settings now configurable per EMR Serverless job run
- Set different log levels for Spark, application code, and libraries independently
- Reduces log verbosity to help identify relevant entries more easily
- Available for EMR release versions 6.8.0 and above in all regions
- Improves monitoring and debugging capabilities for data engineers
EMR Serverless users can now optimize logging for better job troubleshooting without managing infrastructure.
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