Friday, 18 October 2024

AWS Batch LAB

 AWS Batch is a fully managed compute service that makes it easy to run batch jobs at any scale. It eliminates the need to provision and manage EC2 instances, so you can focus on your workloads.

Prerequisites

  • An AWS account
  • Basic understanding of AWS services

Step-by-Step Guide

1. Create a Compute Environment

  • Launch Batch: In the AWS Management Console, search for "Batch" and launch the service.
  • Create Compute Environment: Click on "Create compute environment".
  • Provide Details: Enter a name for your compute environment and select the desired configuration settings (e.g., instance type, compute environment type).
  • Image of AWS Batch Create Compute Environment screen

2. Create a Job Queue

  • Create Job Queue: Click on "Create job queue".
  • Provide Details: Enter a name for your job queue and associate it with your compute environment.
  • Image of AWS Batch Create Job Queue screen

3. Create a Job Definition

  • Create Job Definition: Click on "Create job definition".
  • Provide Details: Specify the container image, command, and other parameters for your job.
  • Image of AWS Batch Create Job Definition screen

4. Submit a Job

  • Submit Job: Click on "Submit job".
  • Provide Details: Enter a name for your job, select the job queue, and specify the job definition.
  • Image of AWS Batch Submit Job screen

5. Monitor Job

  • Monitor Job: Track the status of your job and view the output.
  • Image of AWS Batch Monitor Job screen

Additional Considerations

  • Scheduling: Schedule jobs to run at specific times or intervals.
  • Dependency Management: Manage dependencies between jobs using job definitions.
  • Custom Compute Environments: Create custom compute environments to meet your specific requirements.
  • Integration: Integrate Batch with other AWS services like S3 and CloudWatch.

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