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Dainius Jocas, Search Engineer at Vinted, shares valuable insights into scaling Elasticsearch and common traps encountered by backend engineers when integrating with Elasticsearch. By watching the video, you'll gain an understanding of Vinted's situation when increasing hardware resources for Elasticsearch performance stopped being effective. You'll also learn about the optimizations that actually improved the situation, the lessons learned from it, and the current state of Elasticsearch deployment. The talk covers benchmarks with real-world numbers collected at Vinted. One of the important lessons learned was that Ruby on Rails, by default stores IDs in the database as auto-increment integers, while Elasticsearch is much faster when doing `terms` query on `keywords`. This video highlights just how much faster it is. Check it out! Questions? Ask us on discuss.elastic.co Connect with us in our Slack workspace: https://ela.st/slack Be sure to join your local and virtual Elastic User Groups to stay up-to-date on upcoming meetups: https://community.elastic.co/ #elasticsearch #scaling #techtalk #techcommunity #techtips #vinted