blog_posts: 2fb3bda065
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#60-612 | 2021-11-04 15:30:06 | Scaling a read-intensive, low-latency file system to 10M+ IOPs | https://aws.amazon.com/blogs/hpc/scaling-a-read-intensive-low-latency-file-system-to-10m-iops/ | Many shared file systems are used in supporting read-intensive applications, like financial backtesting. These applications typically exploit copies of datasets whose authoritative copy resides somewhere else. For small datasets, in-memory databases and caching techniques can yield impressive results. However, low latency flash-based scalable shared file systems can provide both massive IOPs and bandwidth. They’re also easy to adopt because of their use of a file-level abstraction. In this post, I’ll share how to easily create and scale a shared, distributed POSIX compatible file system that performs at local NVMe speeds for files opened read-only. | https://d2908q01vomqb2.cloudfront.net/e6c3dd630428fd54834172b8fd2735fed9416da4/2021/11/02/scaling-read-fs-f1-300x174.png | 2fb3bda065 | Randy Seamans | 2022-11-23 15:16:22 | 04 Nov 2021 |
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