AWS Batch
User Guide

Document History

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

  • Current API version: 2016-08-10

  • Latest documentation update: April 5, 2018

Feature API Version Description Release Date

AWS Batch Job Timeouts


You can configure a timeout duration for your jobs so that if a job runs longer than that, AWS Batch terminates the job.

For more information, see Job Timeouts.

April 5, 2018

AWS Batch Jobs as CloudWatch Events Targets


AWS Batch jobs are available as CloudWatch Events targets. Using simple rules that you can quickly set up, you can match events and submit AWS Batch jobs in response to them.

For more information, see AWS Batch Jobs as CloudWatch Events Targets.

March 01, 2018

CloudTrail Auditing for AWS Batch


CloudTrail can audit calls made to AWS Batch APIs.

For more information, see Logging AWS Batch API Calls with AWS CloudTrail.

January 10, 2018

Array Jobs


AWS Batch supports array jobs, which are useful for parameter sweep and Monte Carlo workloads.

For more information, see Array Jobs.

November 28, 2017

Expanded AWS Batch Tagging


AWS Batch enables you to specify tags for the EC2 Spot instances launched within managed compute environments.

For more information, see Creating a Compute Environment.

October 26, 2017

AWS Batch Event Stream for CloudWatch Events


Use the AWS Batch event stream for CloudWatch Events to receive near real-time notifications regarding the current state of jobs that have been submitted to your job queues.

For more information, see AWS Batch Event Stream for CloudWatch Events.

October 24, 2017

Automated Job Retries


You can apply a retry strategy to your jobs and job definitions that allows your jobs to be automatically retried if they fail.

For more information, see Automated Job Retries.

March 28, 2017

AWS Batch General Availability


AWS Batch enables you to run batch computing workloads on the AWS Cloud.

January 5, 2017