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Siddharth Anand, Netflix

 Siddharth  Anand

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.

System Scalability and Performance, Cloud Computing, Algorithms

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

Presentation: "Netflix’s Transition to High-Availability Storage Systems"

Time: Friday 14:05 - 15:05

Location: Olympic Room

Abstract: The CAP Theorem states that it is possible to optimize for any 2 of Consistency, Availability, and Network Partition Tolerance, but not all three. Though presented by Eric Brewer in 2000 and proved in 2002, the CAP Theorem has only recently gained significant awareness and that primarily among engineers working on high-traffic applications. With spreading awareness of the CAP theorem, there has been a proliferation of development on AP (a.k.a. Available-Network Partition Tolerant) systems – systems that offer weaker consistency guarantees for higher availability and network partition tolerance. Much of the interest in these AP systems is in the social networking and web entertainment space where eventual consistency issues are relatively easy to mask. Netflix is one company that is embracing AP systems. This talk details Netflix’s transition to AWS SimpleDB and S3, examples of AP storage systems.