Database Tuning at Zerodha - India's Largest Stock Broker

Perfology β€’ July 7, 2024
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​Welcome to Perfology – Where Technology meets Performance. ​We are dedicated to helping you build faster, scalable, and more reliable software. This channel focuses on: βœ… Performance Testing & Engineering βœ… In-depth Tech Talks & System Design βœ… Hands-on Tool Tutorials βœ… Application Optimization Strategies ​Hit that Subscribe button to stay ahead in the world of Performance Engineering! A Channel made for all the Performance Testing Enthusiasts. Learn Share Grow Connect with us πŸŽ₯ YouTube: https://www.youtube.com/channel/UCxUk2e3VhNKsuDw6ww-dv1Q πŸ“˜ Facebook: https://www.facebook.com/perfology πŸ”— LinkedIn: https://www.linkedin.com/in/perfology πŸ”— Instagram: https://www.instagram.com/perfologys Gmail : [email protected]

Video Description

Speaker : Satyajit Sarangi @ Zerodha Step into the world of Zerodha, India's largest stock broker, and uncover the secrets behind their database tuning and optimization techniques. In this exclusive video, we'll take you through: Advanced Database Optimization Techniques: Learn how Zerodha keeps their databases running at peak performance. Performance Tuning Insights: Discover real-world strategies and best practices from the experts at Zerodha. Scalability Solutions: See how Zerodha handles massive data loads and ensures reliability for millions of users. Whether you're a tech enthusiast, database professional, or just curious about the technology driving the stock market, this video is packed with valuable insights and practical tips to help you optimize your own databases. Video Credit : @pgconfin πŸ”” Subscribe to our channel for more tech tips and tutorials: πŸ‘ Like us on Facebook : https://www.facebook.com/perfology πŸ‘ Add us on Instagram: https://www.instagram.com/perfologys/ πŸ‘ Follow us on Linkedin: https://www.linkedin.com/in/perfology/ #DatabaseTuning #Zerodha #StockBroker #DatabaseOptimization #TechTutorial #PerformanceTuning #SQL #DatabaseManagement #techinnovation Chapters 00:00 Introduction 02:59 History Of Postgres usage 07:54 Managing Big Data 14:40 Understanding your query planner 20:38 Replica Master Slave 29:10 Postgres DB Rights 31:18 Postgres Learnings 39:16 Problems with Postgres

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