Presentation: "Netflix’s Cloud Data Architecture"

Time: Thursday 15:35 - 16:35

Location: Fleming Room, Third Floor

For the past 3 years, Netflix has been building a popular subscription-based service to stream movies and TV shows to game consoles, mobile devices, BluRay players, digital TVs, etc… With tens of millions of paying customers, Netflix has firmly established itself as a household brand in the US. Few people are aware that, while aggressively expanding our market and products, we have also moved our web and data infrastructure to Amazon Web Services. We currently use a large array of AWS's offerings and deliver >90% of our web traffic from the cloud. While we have moved a significant portion of our web infrastructure to the cloud, the migration of our data has followed a slightly slower pace. Where we once solely relied on relational databases such as Oracle and MySQL, today we use a combination of technologies, including but not limited to SimpleDB, S3, Cassandra, and HBase. In addition to the use of these NoSQL solutions, we are looking at RDS and still have much data stored in Oracle in our data center. To access this Oracle data, we have built our own custom bi-directional data replication framework. This talk will detail the current evolution of Netflix's cloud-based data infrastructure.
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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

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