Mongo System Tuning Best Practices
There is a good amount of love giving to optimizing your document design, provisioning, and even selecting your engine in MongoDB. There is little attention given to tuning Linux to handle your database efficiently. In this session, we will talk about what schedulers should you use, what network settings, what memory and cache settings, what file systems, should you use NUMA and Huge Pages, and more. This will be a data packed session for the advanced user, but still accessible by the budding systems admin type that wants to learn more about system internals.
Senior Technical Operations Architect, Percona
Tim joined Percona in 2016 as Sr. Technical Operations Architect for MongoDB with a goal to make the operations of MongoDB as smooth as possible. With experience operating infrastructures in industries such as government, online marketing/publishing, SaaS and gaming combined with experience tuning systems from the hard disk all the way up to the end-user, Tim has spent time in nearly every area of the modern IT stack with many lessons learned. Tim is based in Amsterdam, NL and enjoys traveling, coding and music. Prior to Percona Tim was the Lead MySQL DBA of Electronic Arts' DICE studios, helping some of the largest games in the world (“Battlefield" series, “Mirrors Edge” series, “Star Wars: Battlefront”) launch and operate smoothly while also leading the automation of MongoDB deployments for EA systems. Before the role of DBA at EA's DICE studio, Tim served as a subject matter expert in NoSQL databases, queues and search on the Online Operations team at EA SPORTS. Prior to moving to the gaming industry, Tim served as a Database/Systems Admin operating a large MySQL-based SaaS infrastructure at AbeBooks/Amazon Inc.