AWS Glue 5.1 Reaches Global Availability Across Commercial and GovCloud Regions

AWS Glue 5.1 has expanded its availability to include all AWS Commercial and AWS GovCloud (US) Regions. The final rollout adds support for the Asia Pacific (New Zealand), AWS GovCloud (US-West), and AWS GovCloud (US-East) regions, ensuring that the latest data integration features are accessible to developers globally. This version provides a serverless environment for scalable ETL tasks, allowing teams to move and transform data without managing underlying infrastructure. Teams operating in regulated or newly established regions can now standardize their data pipelines on the 5.1 runtime. This update includes updated support for modern data processing engines and libraries, which can improve execution efficiency and security for complex analytics workloads. Because the service is serverless, the scaling and provisioning are handled automatically based on the job requirements specified by the user. When transitioning to this latest version, engineers should evaluate their existing jobs for compatibility with the new runtime environment. It is recommended to test ETL scripts in development stages to catch potential issues with third-party dependencies or Spark-specific configurations. A phased migration strategy will help mitigate operational risks while allowing organizations to take advantage of the improved performance and expanded regional footprint provided by Glue 5.1.
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| Aspect | Before / Alternative | After / This |
|---|---|---|
| Regional Availability | Selected commercial regions only | All commercial and GovCloud (US) regions |
| Apache Spark Version | Spark 3.3 (Glue 4.0) or 3.4 (Glue 5.0) | Spark 3.5 support in Glue 5.1 |
| Python Support | Python 3.10 | Python 3.11 compatibility |
Action Checklist
- Identify existing ETL jobs utilizing Glue 4.0 or 5.0 runtimes Focus on jobs in newly supported regions like New Zealand or GovCloud
- Verify third-party library compatibility with Python 3.11 Some custom packages may require updates for the newer runtime
- Update infrastructure-as-code templates to reference Glue 5.1 Change the GlueVersion attribute in CloudFormation or Terraform
- Run performance benchmarks in a staging environment Compare execution time and DPU usage against previous versions
- Monitor job logs for Spark 3.5 specific deprecation warnings Address any deprecated API calls before final production cutoff
Source: AWS What's New
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