Issue link: https://read.uberflip.com/i/1187300
Amazon Web Services – HPC Lens AWS Well-Architected Framework Page 3 It's different in the cloud. A cloud infrastructure can grow as the project grows, allowing for a continuously optimized capability. In the cloud, the capability to automate and test on demand lowers the risk of impact from infrastructure design changes. This allows systems to evolve over time so that projects can take advantage of innovations as a standard practice. The Well-Architected Framework proposes a set of general design principles to facilitate good design in the cloud with high-performance computing: • Dynamic architectures: Avoid frozen, static architectures and cost estimates that use a steady-state model. Your architecture should be dynamic: growing and shrinking to match your demands for HPC over time. Match your architecture design and cost analysis explicitly to the natural cycles of HPC activity. For example, a period of intense simulation efforts might be followed by a reduction in demand as the work moves from the design phase to the lab. Or a long and steady data accumulation phase might be followed by a large-scale analysis and data reduction phase. Unlike many traditional supercomputing centers, the AWS Cloud helps you avoid long queues, lengthy quota applications, and restrictions on customization and software installation. Many HPC endeavors are intrinsically bursty and well-matched to the cloud paradigms of elasticity and pay-as-you-go. The elasticity and pay-as- you-go model of AWS eliminates the painful choice between oversubscribed systems (waiting in queues) or idle systems (wasted money). • Align the procurement model to the workload: AWS makes a range of compute procurement models available for the various HPC usage patterns. Selecting the correct model will ensure that you are only paying for what you need. For example, a research institute might run the same weather forecast application in different ways: o An academic research project investigates the role of a weather variable with a large number of parameter sweeps and ensembles. These simulations are not urgent, and cost is a primary concern. Hence, they are a great match for Amazon EC2 Spot Instances. Spot Instances are often available at a discount compared to On-Demand pricing. o During the wildfire season, up-to-the-minute local wind forecasts ensure the safety of firefighters. Every minute of delay in the