AWS Batch: 7 Things You HAVE To Know 🎯

AWS Batch lets you run hundreds of thousands of batch and machine learning jobs without installing software or servers.

Hi Guys, this is Abi from Gokce DB and in this video, you are going to learn 7 things about the AWS Batch service. Let's get into it.

1. With AWS Batch, you package the code, specify dependencies, and then submit your batch job using the AWS Management Console, CLI, or SDKs.

2. The service dynamically provisions the optimal quantity and type of compute resources based on the volume and resource requirements of the batch jobs submitted.

3. AWS Batch plans, schedules, and executes your batch computing workloads using Amazon ECS, EKS, and AWS Fargate with an option to utilize spot instances.

4. AWS Batch is optimized for batch computing and applications that scale through the execution of multiple jobs in parallel. Examples include Deep learning, financial risk models, and image processing.

5. AWS Batch supports any job that can be executed as a Docker container. Jobs specify their memory requirements and the number of virtual CPUs.

6. AWS Batch also provides the ability to submit jobs that are part of a pipeline. This enables you to express any interdependencies that might exist between jobs.

7. There is no additional charge for AWS Batch. You only pay for AWS resources you create to store and run your application.

In summary, AWS Batch is a set of batch management capabilities that enables engineers to easily run batch computing jobs at any scale.