Must Know Aws Batch 使い方 References

AWS Batch Implementation for Automation and Batch Processing from www.aws.ps

Introduction

AWS Batch is a cloud computing service that enables you to run batch computing workloads on the AWS Cloud. With AWS Batch, you can easily and efficiently run hundreds of thousands of batch computing jobs on AWS without having to worry about the underlying infrastructure. In this article, we will discuss how to use AWS Batch in 2023.

Setting Up AWS Batch

The first step in using AWS Batch is to set it up. You need to create an AWS Batch compute environment, which is a set of resources used to execute your batch computing workloads. You also need to create an AWS Batch job queue, which is a queue of jobs to be executed by your compute environment.

Creating Compute Environment

To create a compute environment, you need to specify the type of EC2 instances you want to use, the maximum number of instances that can be launched, and the VPC and subnets to launch the instances in. You can also specify the minimum and desired number of instances to maintain in the compute environment.

Creating Job Queue

To create a job queue, you need to specify the priority of the jobs in the queue, the compute environment to use to execute the jobs, and the maximum number of jobs that can be running at the same time.

Submitting Jobs to AWS Batch

Once you have set up AWS Batch, you can start submitting jobs to it. To submit a job, you need to create a job definition, which is a template that describes the parameters of the job. You can then submit the job to the job queue for execution.

Creating Job Definition

To create a job definition, you need to specify the Docker image to use as the container for the job, the command to run inside the container, and the environment variables to pass to the container.

Submitting Job

To submit a job, you need to specify the job definition to use, the job name, and any additional parameters required by the job definition. You can also specify dependencies between jobs, so that one job does not start until another job has completed.

Monitoring and Troubleshooting

AWS Batch provides several tools to monitor and troubleshoot your batch computing workloads. You can use the AWS Batch console to view the status of your jobs, compute environments, and job queues. You can also use CloudWatch to monitor the performance of your compute environment and job queue.

Viewing Job Status

To view the status of your jobs, you can use the AWS Batch console. The console provides a detailed view of each job, including its current status, start and end times, and any error messages.

Monitoring Performance

To monitor the performance of your compute environment and job queue, you can use CloudWatch. CloudWatch provides metrics on the utilization of your EC2 instances, the number of jobs running, and the number of jobs waiting in the queue.

Conclusion

AWS Batch is a powerful tool for running batch computing workloads on the AWS Cloud. With its easy-to-use interface and powerful monitoring tools, AWS Batch makes it easy to run hundreds of thousands of jobs on AWS. By following the steps outlined in this article, you can easily set up and use AWS Batch to run your batch computing workloads in 2023.