Siddharth Anand, Netflix Cloud Architect

Siddharth “Sid” Anand is a technologist/software architect with deep experience scaling high-traffic web sites – he is passionate about algorithms and system design.

Sid is currently a member of Netflix’s Cloud Systems team, where he creates Cloud-based systems to improve Netflix’s scalability, performance, and availability. Prior to joining Netflix, Sid served as the VP of Engineering at Etsy, worked as a search engineer and researcher at eBay, and solved performance issues at Siebel Systems. He earned his B.S. and M.Eng degrees from Cornell University – his graduate work focused on distributed (cloud) computing.

Specialties:
System Scalability and Performance, Cloud Computing, Algorithms

Coordinates:
Email : siddharthanand@yahoo.com
Twitter : r39132
Linked In : http://www.linkedin.com/in/siddharthanand

Presentation: "Keeping Movies Running Amid Thunderstorms!"

Track: Systems that never stop

Time: Thursday 14:05 - 15:05

Location: Metropolitan Ballroom II & III

Abstract:

In 2008, Netflix began to see traction in its new mode of video delivery -- video streaming to devices in the home and in your pocket. As part of this transition, we are witnessing a shift in our traffic patterns and in the expectations of our customers regarding availability. Specifically, as we become indistinguishable from TV, we cannot afford service downtimes, planned or otherwise. To complicate matters further, our systems operate in AWS, where we have less control over networking, persistence, virtualization, etc... In an effort to build a highly-available system using a sometimes-unavailable cloud, Netflix must adopt new deployment paradigms and new ways of testing reliability. From red-black deployments to the Simian army to reliable Cassandra clusters to new features in our platfrom service layer and more, we are investing in reliability across the board.