Discover the latest trends and best practices impacting data-intensive applications. Register for access to all 50+ sessions available on demand.
With over a billion Indians set to shop online, Meesho is redefining e-commerce by making it accessible, affordable, and inclusive at an unprecedented scale. But scaling for Bharat isn’t just about growth—it’s about building a tech backbone that can handle massive traffic surges, dynamic pricing, real-time recommendations, and seamless user experiences. In this session, we’ll take you behind the scenes of Meesho’s journey in democratizing e-commerce while operating at Monster Scale. Discover how ScyllaDB plays a crucial role in handling millions of transactions, optimizing catalog ranking, and ensuring ultra-low-latency operations. We’ll deep dive into our real-world use cases, performance optimizations, and the key architectural decisions that have helped us scale effortlessly.
Katreddi Kiran Kumar, Vice President – Data Platform Engineering at Meesho. Kiran has over 18 years of experience in building large scale distributed systems in BigData, Video Streaming, Healthcare, Electronic Warfare domains. After completing his Masters in Computer Science from University of Hyderabad (Central University) in 2004, Kiran worked for companies like TCS,Yahoo!, Akamai, Mediamelon and Decision Resources Group building distributed data processing and storage systems at petabytes scale. As the VP, Data Platform engineering, Kiran is building a talented team committed to building a world-class Data/ML platform that improves customer satisfaction and propels Meesho ahead as a data-driven company. Apart from spending time with his family, Kiran also enjoys all things sports and a keen interest in the stock market.
Apache® and Apache Cassandra® are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. Amazon DynamoDB® and Dynamo Accelerator® are trademarks of Amazon.com, Inc. No endorsements by The Apache Software Foundation or Amazon.com, Inc. are implied by the use of these marks.
