You can now do better
profiling and debug the ETL jobs with the addition of Apache Spark metrics.
With the latest update, the customers can now easily keep a record of the
running metrics such as memory usage, CPU load of the driver and executors,
data shuffles among executors and bytes read and written from the AWS Glue
Console. The additional ETL job metrics added by the AWS Glue will help plan
CPU capacity, debug code and identify data issues. In Amazon CloudWatch you can
set up alarms on certain job conditions. From the AWS Glue jobs you can collect
the metrics and visualize them on the Amazon CloudWatch and AWS Glue console to
identify and fix issues.
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