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HPC Lens for the AWS Well-Architected Framework

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Amazon Web Services – HPC Lens AWS Well-Architected Framework Page 41 A well-architected system will use the most cost-effective resources. You can also reduce costs by using managed services for pre-processing and post- processing. For example, rather than maintaining servers to store and post- process completed run data, data can be stored on Amazon S3 and then post- processed with Amazon EMR. It is important to note that HPC workloads that are sensitive to low network latency or high network throughput should be run in a cluster placement group to minimize run times and reduce overall costs. HPCCOST 1: Have you evaluated different instance types and storage options for your workload to assess optimal cost? HPCCOST 2: Have you considered the trade-off between job turnaround time and cost? Experimenting with different instance types, storage requirements, and architectures can minimize costs while maintaining desirable performance. Matching Supply and Demand Optimally matching supply to demand delivers the lowest costs for an HPC system. Demand can be fixed or variable, requiring metrics and automation to ensure optimization. With AWS, you can automatically provision resources to match demand with Auto Scaling. Auto Scaling allows you to add and remove resources as needed. Expenditure Awareness The increased flexibility and agility that the cloud enables encourages innovation and fast-paced development and deployment. It eliminates the manual processes and time associated with provisioning on-premises infrastructure, including identifying hardware specifications, negotiating price quotations, managing purchase orders, scheduling shipments, and then deploying the resources. However, the ease of use and virtually unlimited on- demand capacity may require a new way of thinking about expenditures. Optimizing Over Time As AWS releases new services and features, it is a best practice to review your existing architectural decisions to ensure they continue to be the most cost-

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