Life Sciences

HPC Lens for the AWS Well-Architected Framework

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Amazon Web Services – HPC Lens AWS Well-Architected Framework Page 27 are important because they support objectives such as preventing data loss or complying with regulatory obligations. In addition to the level of sensitivity and regulatory obligations, HPC data can also be categorized according to when and how the data will next be used. Final results are often retained while intermediate results, which can be recreated if necessary, may not need to be retained. Careful evaluation and categorization of data allows for programmatic data migration of important data to more resilient storage solutions, such as Amazon S3 and Amazon EFS. HPCSEC 3: How does your architecture address data requirements for storage availability and durability through the lifecycle of your results? An understanding of data longevity combined with programmatic handling of the data offers the minimum exposure and maximum protection for a well- architected infrastructure. Incident Response Even with extremely mature preventive and detective controls, organizations should still put processes in place to respond to and mitigate the potential impact of security incidents. The architecture of your workload will strongly affect the ability of your teams to operate effectively during an incident to isolate or contain systems and to restore operations to a known-good state. Putting in place the tools and access ahead of a security incident, then routinely practicing incident response, will make sure the architecture is updated to accommodate timely investigation and recovery. Reliability Pillar The reliability pillar includes the ability of a system to recover from infrastructure or service disruptions, dynamically acquire computing resources to meet demand, and mitigate disruptions such as misconfigurations or transient network issues.

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