Q34Design High-Performing Architectures
A weather forecasting company must process hundreds of gigabytes of data with sub-millisecond latency. The company has a high performance computing (HPC) environment in its data center and wants to expand its forecasting capabilities. A solutions architect needs to identify a highly available cloud storage solution that can support large amounts of sustained throughput. Files stored in the solution must be accessible to thousands of compute instances that will simultaneously access and process the entire dataset. What should the solutions architect do to meet these requirements?
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Community votes
Discussion · 6
B 9
Option A (Amazon FSx for Lustre scratch file systems) is designed for temporary data storage and does not provide the data persistence required for this scenario.
B 4
https://docs.aws.amazon.com/fsx/latest/LustreGuide/using-fsx-lustre.html
Both AB can handle the processing requirements but B is Highly Available which is also a requirement not met by A.
CD won't mee the performance requirements
B 3
high performance computing, highly available cloud storage solution = Amazon FSx for Lustre persistent file systems
B 1
HPC + the entire dataset -> FSx Lustre presistence
B 1
Amazon FSx for Lustre is a fully managed file system optimized for high-performance computing (HPC) workloads.
It provides sub-millisecond latency and high throughput, making it ideal for processing large datasets like weather forecasting data.
It supports thousands of compute instances accessing the file system simultaneously, ensuring scalability for the company's HPC environment.
1
A persistent file system is recommended because it provides high durability and availability.
Data is replicated within an Availability Zone (AZ) and automatically backed up to Amazon S3, ensuring data is not lost in case of failures.
This is critical for a weather forecasting company that needs to ensure data integrity and availability.