7.x Virtual Event with the Creators of the Elastic Stack

Learn about the many new features in 7.0 (and some of the big hitters in the 6.x series that you may have missed).  

Highlights Includes:

Elastic Stack 7.0 Overview

A whirlwind tour of all the goodies that landed in 7.0 — from a fully-revamped cluster coordination system in Elasticsearch to brand new design and navigation in Kibana. Fasten your seatbelts, it’ll be a wild ride. 

Kibana 7.0 Navigation & Design

The new design of Kibana 7.0 goes far beyond dark mode across the entire application. Based on a new reusable UI component library with simpler style sheets, the new design streamlines navigation for a simplified user experience, and lays the foundation for the elegant future of Kibana. But yes, dark mode is also here.Making Search Faster (and Easier)

Make Search Faster (and easier)

Learn how Elasticsearch 7.0 dramatically speeds up top hits queries with Block-Max WAND, how the new intervals query enables better proximity searching, and how the soon-to-come search_as_you_type field will make autocomplete easy.Cluster Resiliency and Scale

Cluster Resiliency and Scale

7.0 delivers a new cluster coordination model that makes growing or shrinking your cluster safe and simple. Meanwhile, the real-memory circuit breaker uses a new feature from the JVM to make your nodes resilient to OOMs. Oh yeah, and the feature we’ve all been waiting for — cross-cluster replication — is here to help you scale across the globe

Geo Gorgeous

Bkd trees have helped numeric, date, IP, and geopoint fields — and now they deliver again with smaller, lighter, and faster Bkd-backed geoshapes. The geotile_grid aggregation improves on the old geohash_grid aggregation, and the new Elastic Maps solution brings powerful mapping and geo visualization features to Kibana.

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Clinton Gormley

Clinton Gormley was the first user of Elasticsearch and wrote the Perl API back in 2010. He is a co-author of Elasticsearch: The Definitive Guide, and spends most of his time designing the user interface, specifying new features, and triaging GitHub issues. He studied medicine at UCT in Cape Town and now lives in Barcelona.

Steve Kearns

Steve is director of product management, focused on Elasticsearch and commercial products at Elastic. Prior to Elastic, he worked at DataGravity and Basis Technology, where he designed and deployed text analytics and search technologies to solve interesting problems for some of the world's most successful companies.

Dave Snider

Dave Snider manages product design for Kibana and maintains the Elastic UI framework. He thinks the title of webmaster sounds cooler.

Jim Ferenczi

Software Engineer

Jim Ferenczi is an Elasticsearch Engineer and a Lucene committer at The Apache Software Foundation. Before joining Elastic, Jim worked for Exalead on web search and for Rakuten on e-commerce search.

Jason Tedor

Jason Tedor is a Software Engineer for Elastic. Jason is an Elasticsearch core developer with a love for all things distributed. In roles prior to joining Elastic, Jason was a backend engineer using the Hadoop ecosystem to handle one of the largest clinical datasets in the world, and built Monte Carlo simulations to model commercial loan portfolios.

Yannick Welsch

Yannick Welsch is an Elasticsearch engineer based in Luxembourg. He works on the distributed bits of Elasticsearch, applying his experience in running large clusters as well as making use of his background in formal specification languages.

Nick Knize

Nick Knize has a Ph.D. in GIS (aka Tetris) and left the world of Defense contracting in November 2014 to join Elastic. He is a core Elasticsearch developer focused on improving all things Geo. Based in Rockwall, Texas, Nick enjoys wakeboarding and playing ice hockey on all the ice Texas has to offer.

Thomas Neirynck

Thomas Neirynck is an experienced software engineer, and has worked in the government, defense, and open source communities. As a contributor for Kibana, he currently helps users to get insights from their data.