AWS Batch, integrated with AWS Fargate, provides a powerful serverless batch computing solution with support for Graviton, Windows containers, larger task sizes up to 16 vCPUs and 120 GiB memory, configurable local storage up to 200 GiB, job-level cost allocation, Spot discounts, and shared storage using Amazon EFS.

<div>
<p>The article discusses the benefits of using AWS Fargate with AWS Batch for serverless batch architectures, highlighting recent features and advancements that make Fargate a compelling choice.</p>
<p>Specifically, the article covers:</p>
<ul>
<li>Support for Graviton (Arm64) and Windows containers on Fargate</li>
<li>Larger task sizes up to 16 vCPUs and 120GB memory</li>
<li>Configurable local storage up to 200GB</li>
<li>Job-level cost allocation and using EC2 Spot capacity</li>
<li>Shared storage across jobs using Amazon EFS</li>
<li>Considerations for scale and throughput needs</li>
</ul>
</div>


Why you should use Fargate with AWS Batch for your serverless batch architectures

Related articles