Many customers prefer to use Docker images with AWS Batch and AWS Cloudformation for cost-effective and faster processing of complex jobs. To run batch workloads in the cloud, customers have to consider various orchestration needs, such as queueing workloads, submitting to a compute resource, prioritizing jobs, handling dependencies and retries, scaling compute, and tracking utilization and resource management. While AWS Batch simplifies all the queuing, scheduling, and lifecycle management for customers, and even provisions and manages compute in the customer account, customers continue to look for even more time-efficient and simpler workflows to get their application jobs up and running in minutes.
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