Power Solr: Performance, Scaling, and Relevancy
RWX / CDX
Fort Lauderdale · November 27 - 30, 2012
About this Presentation
Make the most out of Solr by leveraging these tips and tricks to increase performance, scale Solr to your needs, and tune search results. This talk will discuss Solr architecture decisions, performance and scaling best practices, and considerations and techniques for adjusting search results for your application.
Solr can generally handle your “big data” needs, if deployed and utilized properly. But there are some devilish details to scale up and out. We'll discuss Solr's caches and general best practices for configuring the, how Solr's distributed architecture works and how it's being deployed in production environments, and we'll delve into the voodoo of Lucene search result scoring and how to incorporate application/domain-specific factors.
co-author of "Lucene in Action"
Erik advocates for Atlas Search at MongoDB, these days. Prior to this, he co-founded Lucidworks, innovating solutions for customers with Solr and Lucene. He has been a committer on various ASF projects, sits on the Lucene and Solr PMC, and a Member of the ASF.
Erik has spoken at conferences, events, and meetups around the world, entirely on open source projects. He has spoken at JavaOne, Uberconf, the NFJS circuit, Devoxx, Berlin Buzzwords, Lucene Revolution, and many other events and user group meetings.