Cross-cluster search, ingest node, rollover API, shrink API, field collapsing, unified highlighter . . . there's lots to love in Elasticsearch these days. Get up to speed on 5.x and see how 6.x will address pain points around scale, upgrading, recovery, and sparse data and disk usage.
Learn more about NELO, a PaaS-type application logging system developed by Naver and built on top of Elasticsearch.
Learn more about Samsung SDS Chatbot Brity, a conversational AI, built on Elasticsearch.
In this session, NSHC demonstrates the process of how they collect, analyze, and secure data using Elasticsearch in the age of the Dark Web, a part of the World Wide Web that is only accessible by means of special software, allowing users and website operators to remain anonymous or untraceable.
Learn how to easily deploy and manage secure Elasticsearch clusters at scale and on the infrastructure of your choice using Elastic Cloud Enterprise.
Walk through all things ingest for Logstash 5.x, from dead letter and persistent queues to the Grok Debugger and new monitoring APIs. Then get caught up on new lightweight data shipper additions like Heartbeat and Metricbeat, as well as new modules that simplify the getting started process.
Vimeo engineers Chris Simpson and Khurshid Fayzullaev discuss the unique considerations required to build a scalable search product using Elasticsearch. They will explore some specific considerations vimeo.com has encountered when designing their new soon-to-launch search service, as well as themes relating to Elasticsearch's heritage as a scalable distributed search engine using Apache Lucene.
BAI Canada/Transit Wireless has built a public Wi-Fi offering in both the Toronto and NYC subway systems, where roughly 2 million unique devices totaling 14 million log-ons per month use the service. Their implementation of the Elastic Stack handles around 10 million new records per day and growing. Learn how BAI Canada/Transit Wireless has designed, architected, and run the Elastic Stack to help report on and monitor usage in one of the largest types of Wi-Fi deployments.
Helping fans find the perfect seat is a top priority for Ticketmaster. It's also a considerable challenge for their data system. In this presentation, Ticketmaster will demonstrate how they use search technology to solve for the difficult problem of helping users find seats, a volatile commodity as inventory changes. They will also highlight other areas, including marketing and abuse prevention, where they are leveraging search technology to help fans get tickets to the events they want to see.
The National Archives and Records Administration is building the next generation of electronic records archives. See how they're planning to use Elasticsearch to power discovery for millions of archived records from federal agencies, judicial proceedings, congressional work, and presidential administrations.
Perched is using Elastic's X-Pack to analyze intrusions as they progress through a campaign and exploring methods to push them back through the kill-chain.
BAI Canada has built a public Wi-Fi offering in both the Toronto and NYC subway systems, where there are roughly 2 million unique devices totaling 14 million logons per month using the service. BAI's implementation of the Elastic Stack handles around 10 million new records a day and growing. Learn how BAI Canada has designed, architected, and runs the Elastic Stack to help report on and monitor usage in one of the largest types of Wi-Fi deployments.
Chicago-based SaaS provider Paylocity underwent massive growth over the past several years, and keeping track of all their logs became a real challenge. Learn how they went from poring through individual logs to indexing and analyzing over 500 million logs per day with the Elastic Stack.