AWS Batch

AWS Batch now publishes job metrics to Amazon CloudWatch

, providing native observability for batch workloads. AWS Batch emits metrics throughout the job lifecycle, giving you visibility into job queue health, failure rates, and job durations.

AWS Batch now supports Amazon EKS access entry authentication

for compute environments. EKS access entries provide an API-driven approach to granting IAM principals access to Kubernetes clusters, complementing the existing aws-auth ConfigMap.

AWS Batch now supports bulk job cancellation and termination

, enabling you to cancel or terminate up to 50 jobs with a single API call. The new CancelJobs, TerminateJobs, and TerminateServiceJobs APIs reduce the operational complexity of managing large-scale batch workloads, letting you act on groups of jobs at once and receive per-job…

AWS Batch now supports Amazon ECS Managed Instances

(ECS MI) as a new compute option, enabling you to run GPU-accelerated and compute-intensive batch workloads on AWS-managed infrastructure.

AWS Batch now supports customer-ordered instance allocation strategies

AWS Batch now offers the Best Fit Progressive Ordered (BFPO) and Spot Capacity Optimized Prioritized (SCOP) allocation strategies, giving you more control over instance type prioritization in your compute environments.

AWS Batch now provides AMI status and supports AWS Health Planned Lifecycle Events

AWS Batch now provides enhanced visibility into your compute environments with two new capabilities that help you maintain operational best practices.

AWS Batch now supports quota management and preemption for SageMaker Training jobs

AWS Batch now supports quota management with job preemption for SageMaker Training jobs, enabling you to efficiently allocate and share compute resources across your teams and projects.

AWS Batch now supports configurable scale down delay

AWS Batch now allows you to configure a scale down delay for managed compute environments, helping reduce job processing delays for intermittent and periodic workloads.

AWS Batch now provides Job Queue and Share Utilization Visibility

AWS Batch now provides Queue and Share Utilization Visibility, giving you insights into how your workloads are distributed across compute resources.

AWS Batch now supports unmanaged compute environments for Amazon EKS

AWS Batch now extends its job scheduling capabilities to unmanaged compute environments on Amazon EKS.

AWS Batch now provides Array Job Status Summary in ListJobs API

AWS Batch now includes a status summary for Array Jobs in the ListJobs API response, giving you immediate visibility into the distribution of child job statuses without additional API calls. This enhancement helps you monitor large-scale workloads more efficiently.