Scaling Uber's Metric System from Elasticsearch to Apache Pinot

Explore the evolution of Uber's real-time metric system in this 38-minute conference talk from Data Council. Discover how Uber transitioned from Elasticsearch to Apache Pinot to address challenges in reliability, performance, and scalability. Learn about the company's journey with real-time systems like Gairos and uMetric, and the continuous efforts to improve these platforms. Gain insights into handling traffic growth, increasing user numbers, diverse use cases, and operational considerations. Hear from Yupeng Fu, Principal Engineer and Apache Pinot committer, and Nan Ding, Staff Engineer, as they share their experiences and solutions in scaling Uber's metric system. Understand the impact of this transition on Uber's data ecosystem and the benefits of adopting Apache Pinot for real-time storage.