What Is Amazon Batch? - Amazon Batch
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What Is Amazon Batch?

Amazon Batch helps you to run batch computing workloads on the Amazon Web Services Cloud. Batch computing is a common way for developers, scientists, and engineers to access large amounts of compute resources. Amazon Batch removes the undifferentiated heavy lifting of configuring and managing the required infrastructure, similar to traditional batch computing software. This service can efficiently provision resources in response to jobs submitted in order to eliminate capacity constraints, reduce compute costs, and deliver results quickly.

As a fully managed service, Amazon Batch helps you to run batch computing workloads of any scale. Amazon Batch automatically provisions compute resources and optimizes the workload distribution based on the quantity and scale of the workloads. With Amazon Batch, there's no need to install or manage batch computing software, so you can focus your time on analyzing results and solving problems.

Components of Amazon Batch

Amazon Batch simplifies running batch jobs across multiple Availability Zones within a Region. You can create Amazon Batch compute environments within a new or existing VPC. After a compute environment is up and associated with a job queue, you can define job definitions that specify which Docker container images to run your jobs. Container images are stored in and pulled from container registries, which may exist within or outside of your Amazon infrastructure.


A unit of work (such as a shell script, a Linux executable, or a Docker container image) that you submit to Amazon Batch. It has a name, and runs as a containerized application on Amazon Fargate or Amazon EC2 resources in your compute environment, using parameters that you specify in a job definition. Jobs can reference other jobs by name or by ID, and can be dependent on the successful completion of other jobs. For more information, see Jobs.

Job Definitions

A job definition specifies how jobs are to be run. You can think of a job definition as a blueprint for the resources in your job. You can supply your job with an IAM role to provide access to other Amazon resources. You also specify both memory and CPU requirements. The job definition can also control container properties, environment variables, and mount points for persistent storage. Many of the specifications in a job definition can be overridden by specifying new values when submitting individual Jobs. For more information, see Job definitions

Job Queues

When you submit an Amazon Batch job, you submit it to a particular job queue, where the job resides until it's scheduled onto a compute environment. You associate one or more compute environments with a job queue. You can also assign priority values for these compute environments and even across job queues themselves. For example, you can have a high priority queue that you submit time-sensitive jobs to, and a low priority queue for jobs that can run anytime when compute resources are cheaper.

Compute Environment

A compute environment is a set of managed or unmanaged compute resources that are used to run jobs. With managed compute environments, you can specify desired compute type (Fargate or EC2) at several levels of detail. You can set up compute environments that use a particular type of EC2 instance, a particular model such as c5.2xlarge or m5.10xlarge. Or, you can choose only to specify that you want to use the newest instance types. You can also specify the minimum, desired, and maximum number of vCPUs for the environment, along with the amount that you're willing to pay for a Spot Instance as a percentage of the On-Demand Instance price and a target set of VPC subnets. Amazon Batch efficiently launches, manages, and terminates compute types as needed. You can also manage your own compute environments. As such, you're responsible for setting up and scaling the instances in an Amazon ECS cluster that Amazon Batch creates for you. For more information, see Compute environment.

Getting Started

Get started with Amazon Batch by creating a job definition, compute environment, and a job queue in the Amazon Batch console.

The Amazon Batch first-run wizard gives you the option of creating a compute environment and a job queue and submitting a sample Hello World job. If you already have a Docker image you want to launch in Amazon Batch, you can create a job definition with that image and submit that to your queue instead. For more information, see Getting Started with Amazon Batch.