See: Description
| Interface | Description |
|---|---|
| BatchAsyncClient |
Service client for accessing AWS Batch asynchronously.
|
| BatchAsyncClientBuilder |
A builder for creating an instance of
BatchAsyncClient. |
| BatchBaseClientBuilder<B extends BatchBaseClientBuilder<B,C>,C> |
This includes configuration specific to AWS Batch that is supported by both
BatchClientBuilder and
BatchAsyncClientBuilder. |
| BatchClient |
Service client for accessing AWS Batch.
|
| BatchClientBuilder |
A builder for creating an instance of
BatchClient. |
Using AWS Batch, you can run batch computing workloads on the AWS Cloud. Batch computing is a common means for developers, scientists, and engineers to access large amounts of compute resources. AWS Batch uses the advantages of this computing workload to remove the undifferentiated heavy lifting of configuring and managing required infrastructure. At the same time, it also adopts a familiar batch computing software approach. Given these advantages, AWS Batch can help you to efficiently provision resources in response to jobs submitted, thus effectively helping you to eliminate capacity constraints, reduce compute costs, and deliver your results more quickly.
As a fully managed service, AWS Batch can run batch computing workloads of any scale. AWS Batch automatically provisions compute resources and optimizes workload distribution based on the quantity and scale of your specific workloads. With AWS Batch, there's no need to install or manage batch computing software. This means that you can focus your time and energy on analyzing results and solving your specific problems.