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Published on Jun 20, 2014
A look at the elements required by Elasticsearch to turn a simple inverted index into an auto-clustering, horizontally scalable real time search and analytics engine. The talk will start from first principles, explaining how an inverted index works, how to make an inverted index suitable for real time search, how to scale that out, how to add reliability and failover to the cluster, and design patterns to use the cluster most efficiently.
Clinton Gormley was the first user of Elasticsearch and wrote the Perl API back in 2010. When Elasticsearch formed a company in 2012, he joined as a consultant and the maintainer of the Perl modules. Now Clinton spends a lot of his time designing the user interfaces and writing about Elasticsearch, and is currently working on a book about it with O'Reilly Publishers. He studied medicine at UCT in Cape Town and now lives in Barcelona.