AWS Batch

Overview

AWS Batch enables you to run batch computing workloads on the AWS Cloud. It dynamically provisions compute resources based on the volume and requirements of submitted jobs.

Real-life Use Cases

• Cloud Architect: Design scalable scientific computing pipelines.

• DevOps Engineer: Automate nightly ETL jobs for data warehouses.

Terraform Example

resource "aws_batch_compute_environment" "example" {
  compute_environment_name = "example"
  compute_resources {
    instance_role = aws_iam_instance_profile.ecs_instance.arn
    instance_type = ["m4.large"]
    max_vcpus     = 16
    min_vcpus     = 0
    type          = "EC2"
    subnets       = [aws_subnet.example.id]
    security_group_ids = [aws_security_group.example.id]
  }
  service_role = aws_iam_role.aws_batch_service.arn
  type         = "MANAGED"
}

AWS CLI Example

aws batch create-compute-environment --compute-environment-name example --type MANAGED --state ENABLED --compute-resources ...

Best Practices

• Use managed compute environments for flexibility.

• Monitor job queues for stuck jobs.

Common Pitfalls

• Insufficient IAM permissions for job roles.

• Not scaling compute resources appropriately.

Joke: Why did the batch job go to AWS? It heard it could process its feelings in parallel!