AWS Glue announced that users can choose an “Auto” version for Apache Spark jobs. The service will then automatically move the job to the newest Glue runtime after checking compatibility and getting consent. Validation looks at output schema, data volume, latency and format before the switch. Jobs that need code changes stay on the old version and receive an upgrade analysis. The feature is live in all commercial AWS regions.
Why it matters
It lets data teams keep Spark jobs secure and fast without spending weeks on manual upgrades.
