AWS Batch
Explore how AWS Batch simplifies running batch computing workloads by managing job scheduling, compute resource allocation, and execution. Understand key components like job definitions, job queues, and compute environments to optimize batch job processing and cost efficiency on AWS.
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AWS Batch is a fully managed service designed for running batch computing workloads on the AWS Cloud. It handles high-volume computing tasks by breaking them into smaller jobs that can be processed concurrently. AWS Batch automatically allocates the ideal amount and type of compute resources, such as CPU or memory-optimized instances, based on the needs of the submitted batch jobs.
AWS Batch effectively organizes, schedules, and executes batch workloads using various AWS resources such as Amazon ECS (Elastic Container Service), EKS (Elastic Kubernetes Service), and AWS Fargate. It offers the flexibility to use spot instances for cost optimization.
Key components of AWS Batch
The following are the key components of AWS Batch:
Job: It is a unit of work that you submit to the service to be run. Jobs are the fundamental building blocks of AWS Batch and can consist of a single command or script or an entire workflow of ...