AWS Batch launches new features for access control and management of AWS Batch on EKS workloads

AWS Batch on EKS has added several new features to improve workload isolation and data access control. These features include configurable Kubernetes namespaces, Persistent Volume Claims (PVCs), subPath to Kubernetes pod container volumes, and Kubernetes pod annotations. Using different Kubernetes namespaces, users can define job permission boundaries within the EKS cluster and for access to other AWS services. Kubernetes PVCs and subPath allow AWS Batch jobs to access specific data or subPaths within a data volume. EKS pod annotations enable integration with external tools and AWS services like AWS Secrets Manager by attaching metadata to AWS Batch jobs. These features can be configured when registering a new AWS Batch job definition or revising an existing one. Users can also override namespace and annotations when submitting a job. For more information, users can refer to the AWS Batch API reference and the AWS HPC Blog post. AWS Batch supports efficient batch processing for various workloads, including ML model training, simulations, and analysis, at any scale. These new features are available in all AWS Regions where AWS Batch is available.