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Watch “x86-less ScyllaDB: Exploring an All-ARM Cluster”
In This NoSQL Presentation
In this session, we explore an all-ARM ScyllaDB cluster with Ampere ARM-powered servers and fast NVMe SSD storage from ScaleFlux. We describe the hardware setup and evaluate ScyllaDB performance and efficiency to uncover what’s possible in a completely x86-less cluster.
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I love memory and solid-state storage. My obsession started nearly 20 years ago in AMD’s memory group and has since spanned memory design engineering roles at Spansion and SanDisk and SSD applications engineering roles at SandForce, LSI, and Seagate. Today, I’m most excited about helping engineers build efficient, high performance systems using computational storage technology.
StorageReview has a podcast with ScaleFlux about Computational Storage. I’m actually impressed with some of the key questions they ask about scale, pitfalls, and where the computation actually occur.
‘Composable’ and ‘computational’ are often said in the same breath, but how exactly are they related — or not? While there are differences, a combination could serve enterprises.
Computational storage embeds processors in a drive to offload the server CPU from burdensome tasks such as compression and encryption.