AWS Batch Description
AWS Batch provides a streamlined platform for developers, scientists, and engineers to efficiently execute vast numbers of batch computing jobs on the AWS cloud infrastructure. It automatically allocates the ideal quantity and types of compute resources, such as CPU or memory-optimized instances, tailored to the demands and specifications of the submitted batch jobs. By utilizing AWS Batch, users are spared from the hassle of installing and managing batch computing software or server clusters, enabling them to concentrate on result analysis and problem-solving. The service organizes, schedules, and manages batch workloads across a comprehensive suite of AWS compute offerings, including AWS Fargate, Amazon EC2, and Spot Instances. Importantly, there are no extra fees associated with AWS Batch itself; users only incur costs for the AWS resources, such as EC2 instances or Fargate jobs, that they deploy for executing and storing their batch jobs. This makes AWS Batch not only efficient but also cost-effective for handling large-scale computing tasks. As a result, organizations can optimize their workflows and improve productivity without being burdened by complex infrastructure management.
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AWS Batch User Reviews
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Likelihood to Recommend to Others1 2 3 4 5 6 7 8 9 10
Not the best Date: Dec 23 2020
Summary: AWS batch lets users efficiently run millions of computing jobs on the AWS platform. Eliminates the requirement of additional batch management software. Take care of small requirements dynamically and allows users to focus on analyzing and solving problems.
Positive: Dynamically allows sufficient quantity and optimal computing resources. Eradicates the need to download additional software for batch management.
Negative: AWS batch to some extent is slow, unresponsive, and lacks functions to change those. The startup time of instances often crosses 10-15 minutes.
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