AWS Batch raises Job Queue limit to 50
Today, AWS Batch has raised the the Job Queue limit to 50, up from 20. All users can now create additional job queues as needed for their workloads without additional configuration.
Today, AWS Batch has raised the the Job Queue limit to 50, up from 20. All users can now create additional job queues as needed for their workloads without additional configuration.
AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU, GPU, or memory-optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across AWS compute services and features, such as Amazon EC2, AWS Fargate, and EC2 Spot Instances.
AWS Batch Job Queues house your jobs while they are waiting to be processed. You can use them to assign users against specific compute by attaching them to an AWS Batch Compute Environment. With more job queues, it is now easier to isolate compute to certain users.
To get started, visit the AWS Batch guide.