Amazon Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on Amazon Web Services. Amazon Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With Amazon Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. Amazon Batch plans, schedules, and executes your batch computing workloads across the full range of Amazon Web Services compute services and features, such as Amazon EC2 and Spot Instances.
There is no additional charge for Amazon Batch. You only pay for the Amazon Web Services resources (e.g. EC2 instances) you create to store and run your batch jobs.
Amazon Batch eliminates the need to operate third-party commercial or open source batch processing solutions. There is no batch software or servers to install or manage. Amazon Batch manages all the infrastructure for you, avoiding the complexities of provisioning, managing, monitoring, and scaling your batch computing jobs.
Integrated with Amazon Web Services
Amazon Batch is natively integrated with the Amazon Web Services platform, allowing you to leverage the scaling, networking, and access management capabilities of Amazon Web Services. This makes it easy to run jobs that safely and securely retrieve and write data to and from Amazon Web Services data stores such as Amazon S3 or Amazon DynamoDB.
Cost optimized resource provisioning
Amazon Batch provisions compute resources and optimizes the job distribution based on the volume and resource requirements of the submitted batch jobs. Batch dynamically scales compute resources to any quantity required to run your batch jobs, freeing you from the constraints of fixed-capacity clusters. Amazon Batch will utilize Spot Instances on your behalf, reducing the cost of running your batch jobs further.
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