Document history - AWS Batch

Document history

The following table describes the important changes to the documentation since the initial release of AWS Batch. We also update the documentation frequently to address the feedback that you send us.

Change Description Date

Amazon EFS

AWS Batch adds support for adding Amazon EFS file systems to you job definitions.

April 1, 2021

Added service-linked role

AWS Batch adds the AWSServiceRoleForBatch service-linked role.

March 10, 2021

AWS Fargate support

AWS Batch adds support for running jobs on Fargate resources.

December 3, 2020

Amazon Linux 2 support

AWS Batch adds support for automatic selection of Amazon Linux 2 AMIs in the compute environment using the EC2 Configuration parameters.

November 24, 2020

Enhanced retry strategy

AWS Batch enhances the retry strategy for jobs. Now jobs can be retried or stop further retries by matching the ExitCode, Reason, or StatusReason of a job with patterns.

October 20, 2020

Resource tagging

AWS Batch adds support for adding metadata tags to your compute environments, job definitions, job queues, and jobs.

October 7, 2020

Secrets

AWS Batch adds support for passing secrets to jobs.

October 1, 2020

Logging

AWS Batch adds support for specifying additional log drivers for jobs.

October 1, 2020

Allocation strategies

AWS Batch adds support for multiple strategies to choose instance types.

October 16, 2019

EFA support

AWS Batch adds support for Elastic Fabric Adapter (EFA) devices.

August 2, 2019

GPU scheduling

AWS Batch adds GPU scheduling. With this feature, you can specify the number of GPUs each job requires, and AWS Batch scales up instances accordingly.

April 4, 2019

Multi-node parallel jobs

AWS Batch adds support for multi-node parallel jobs. You can use this feature run single jobs that span over multiple Amazon EC2 instances.

November 19, 2018

Resource-level permissions

AWS Batch supports resource-level permissions on several API operations.

November 12, 2018

Amazon EC2 Launch template support

AWS Batch adds support for using launch templates with compute environments.

November 12, 2018

AWS Batch job timeouts

AWS Batch adds support for job timeout. With this support, you can configure a specific timeout duration for your jobs so that if a job runs longer than they should, AWS Batch terminates the job.

April 5, 2018

AWS Batch jobs as CloudWatch Events targets

AWS Batch jobs are made available as CloudWatch Events targets. By creating simple rules, you can match events and submit AWS Batch jobs in response to them.

March 1, 2018

CloudTrail auditing for AWS Batch

CloudTrail can audit calls made to AWS Batch API actions.

January 10, 2018

Array jobs

AWS Batch adds support for array jobs. You can use array jobs for parameter sweep and Monte Carlo workloads.

November 28, 2017

Expanded AWS Batch tagging

AWS Batch expands support for the tagging function. You can use this function to specify tags for Amazon EC2 Spot Instances launched within managed compute environments.

October 26, 2017

AWS Batch event stream for CloudWatch Events

AWS Batch adds the event stream for CloudWatch Events. You can use AWS Batch event stream to receive near real-time notifications regarding the state of jobs that are submitted to your job queues.

October 24, 2017

Automated job retries

AWS Batch adds support for job retries. With this update, you can apply a retry strategy to your jobs and job definitions that allows your jobs to be automatically retried if they fail.

March 28, 2017

AWS Batch general availability

AWS Batch is introduced, designed as a means for you to run batch computing workloads on the AWS Cloud.

January 5, 2017