Reduce AWS Batch costs with these tips
AWS Batch cost saving tips
Optimize your AWS Batch costs with these tips
Use Spot Instances
For batch workloads that can be interrupted, use Spot Instances. They offer upto 90% savings compared to On-Demand Instances. AWS Batch lets you specify your compute resources preference.
Optimize Images
Reduce storage costs by minimizing container images and AMIs. Consider caching and reusing images where possible to further reduce costs.
Right-size Compute
Ensure you match compute environments to workload requirements. Monitor CPU and memory utilization to avoid oversizing resources. Use AWS guidance for optimal compute resource sizing.
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Service information & pricing
About AWS Batch
- About AWS Batch
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AWS Batch is a service that performs containerized batch or machine learning tasks using AWS compute services like Amazon ECS, EKS, Fargate, and Spot/On-Demand Instances. It assists developers, scientists, and engineers in carrying out computing jobs efficiently while enhancing compute resources, allowing them to concentrate on problem-solving and analyzing results. AWS Batch is used in fields such as finance, life sciences, and digital media.
- AWS Batch pricing
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AWS Batch doesn't require any additional charges. Users must pay for AWS services like EC2 instances, AWS Lambda functions or AWS Fargate that are created to store and run the application. Users can use Reserved Instances, Savings Plan, EC2 Spot Instances, and Fargate with AWS Batch by defining their compute needs when setting up their AWS Batch compute environments. Any applicable discounts will be applied at billing.