AWS Batch
AWS Batch simplifies the process of running batch computing workloads in the cloud by automating the provisioning and scaling of compute resources. With AWS Batch, users can submit batch jobs, define job execution parameters, and let the service handle the rest. It uses container technologies and rapid scaling capabilities. AWS Batch ensures efficient resource utilization, cost optimization, and reliable job execution.
Typically, AWS Batch is extremely useful when you need many tasks to be run simultaneously, when you have dependencies that may control the order that the tasks are run, or if you require a centralized scheduling service that can coordinate jobs across a wide range of AWS services. Some typical use cases include the following:
- Data processing: AWS Batch is ideal for processing large volumes of data, such as ETL jobs, data validation, and log analysis. AWS Batch can control the provisioning of spot instances to ensure your jobs are run cost-efficiently...
