Single-server, in-memory data stores like Redis®* play a vital role in many applications, but when it comes time to cluster Redis for scaling and high availability, you can face daunting challenges. Open-source Redis clusters need at least six servers for high availability, and system administrators need to learn how to manage arcane concepts like hash slots and shards. Check out our new video which explains how ScaleOut In-Memory Database™ (IMDB) automates Redis clustering so that you can add and remove servers with a single command — starting with just two servers. ScaleOut IMDB also ensures that the cluster implements strong consistency to keep stored data safe and IT costs low.
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Dr. William L. Bain is the founder and CEO of ScaleOut Software, which has been developing software products since 2003 designed to enhance operational intelligence within live systems using scalable, in-memory computing technology. Bill earned a Ph.D. in electrical engineering from Rice University. With over a 40-year career focused on parallel computing, he has contributed to advancements at Bell Labs Research, Intel, and Microsoft, and holds several patents in computer architecture and distributed computing.