Performing batch operations provides significant advantages in handling large-scale computing tasks efficiently. AWS Batch is a service provided by AWS that allows you to perform large-scale batch operations to streamline and automate complex computing workloads seamlessly. With AWS Batch, you can efficiently process massive datasets, run scientific simulations, perform ETL tasks, and execute various compute-intensive jobs across distributed resources.
In this Cloud Lab, you’ll create a private repository with Elastic Container Registry (ECR) for a Python script that removes personal information from files in your storage (S3 bucket). Using AWS Batch, you’ll efficiently handle multiple tasks at once. A Lambda function will start multiple jobs simultaneously with your AWS Batch setup.
After completing this Cloud Lab, you can use AWS Batch to perform multiple jobs simultaneously, making your workflow smoother and more optimized without worrying about resource allocation
A high-level architecture diagram for this Cloud Lab is given below:
