Cassandra Summit Preview: How Uber Optimized Cassandra Operations at Scale
Each day, the Uber app moves millions of people around the world and delivers tens of millions of food and grocery orders. Each trip or delivery order depends on multiple low-latency and highly reliable database interactions. Uber has been running Apache Cassandra® at scale for more than six years now, and their deployment includes millions of queries per second and petabytes of data.
As Uber scaled the Cassandra fleet and onboarded critical use cases, they faced numerous operational challenges. Uber recently wrote a blog to illustrate what their journey looked like – from debugging challenges that arose to what small, yet powerful, changes were made to give the Uber team compounding reliability in return at scale.
The first part walks through the architecture summary of Cassandra deployment within Uber, and the second part talks about production challenges and solutions found while running Cassandra at scale.
Read ‘How Uber Optimized Cassandra Operations At Scale’.
Uber staff engineer Gopal Mor and Uber staff engineer Jaydeepkumar Chovatia will give a talk about Uber’s Cassandra deployment at Cassandra Summit, which is taking place December 12-13 in San Jose, California.
