AI Powered Database optimisation with Andy Pavlo, Ottertune

In this video I discuss Database tuning and Optimisation with Andy Pavlo, OtterTune. Andy is an Associate Professor with Indefinite Tenure of Databaseology in the Computer Science Department at Carnegie Mellon University. My research interest is in database management systems, specifically main memory systems, self-driving / autonomous architectures, transaction processing systems, and large-scale data analytics. 00:00 Introduction and Welcome 01:31 Understanding Database Optimization 05:48 Understanding When Database Tuning is Needed 08:45 Understanding Database Optimization Difficulties 16:16 Understanding Default Settings in Databases 22:35 Role of Machine Learning in Database Tuning 22:38 Introduction to Ottertune 28:36 Data Collection for Machine Learning Model 35:25 Deployment and Data Collection Process 38:03 Admitting the Limitations of Current Model 38:53 Challenges in Predicting Performance Improvements 39:28 The Importance of Data Collection Over Time 39:52 Avoiding Weekend and Holiday Tuning 40:05 Introducing New Features for Database Comparison 42:09 Provisioning Recommendations and Performance Predictions 43:03 The Importance of Telemetry in Understanding Database Performance 44:01 Handling Dramatic Changes in Database Workloads 44:48 Preparing for Predictable Traffic Spikes 48:13 The Importance of Testing in Database Optimization 53:33 The Future of Database Optimization 55:50 Common Mistakes in Database Management 01:09:15 The Future of Holistic Database Tuning Links: Ottertune: https://ottertune.com/ Andy Pavlo: https://www.cs.cmu.edu/~pavlo/ CMU youtube: https://www.youtube.com/@UCHnBsf2rH-K7pn09rb3qvkA Resources: CMU: https://15799.courses.cs.cmu.edu/spring2022/schedule.html Ottertune blog: https://ottertune.com/blog =============================================================================== For discount on the below courses: Appsync: https://appsyncmasterclass.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Testing serverless: https://testserverlessapps.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Production-Ready Serverless: https://productionreadyserverless.com/?affiliateId=41c07a65-24c8-4499-af3c-b853a3495003 Use the button, Add Discount and enter "geeknarrator" discount code to get 20% discount. =============================================================================== Follow me on Linkedin and Twitter: https://www.linkedin.com/in/kaivalyaapte/ and https://twitter.com/thegeeknarrator If you like this episode, please hit the like button and share it with your network. Also please subscribe if you haven't yet. Stay Curios! Keep Learning!