Presentation: "Netflix’s Transition to High-Availability Storage Systems"
Time: Friday 14:05 - 15:05
Location: Olympic Room
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.
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Siddharth Anand, NetflixSiddharth “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.
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