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Inside Netflix’s Graph Abstraction: Handling 650TB of Graph Data in Milliseconds Globally
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In "Inside Netflix’s Graph Abstraction: Handling 650TB of Graph Data in Milliseconds Globally," engineer Leela Kumili explores an innovative platform designed to manage an impressive 650TB of graph data with millisecond latency. This high-throughput solution supports a variety of services, from Netflix Gaming's social graphs to operational topology graphs, ensuring global availability through asynchronous replication. The article delves into the architecture, caching strategies, and traversal design that enable exceptional performance at scale, showcasing Netflix's commitment to advancing data management technology.


Netflix engineers built Graph Abstraction, a high-throughput platform managing 650 TB of graph data with millisecond latency. Supporting services from Netflix Gaming’s social graphs to operational topology graphs, it maintains global availability via asynchronous replication. This article covers its architecture, caching, and traversal design for high-scale performance.
By Leela KumiliRead on the original site
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