Sharding & IDs at Instagram
Welcome to the Instagram Engineering Blog, where we share insights on building and scaling our service. With more than 25 photos & 90 likes every second, we store a lot of data here at Instagram. To make sure all of our important data fits into memory and is available quickly for our users, we’ve begun to shard our data—in other words, place the data in many smaller buckets, each holding a part of
ID Generation at Scale - Blake Matheny
Most companies that operate at a large enough scale run into the problem of efficiently generating ID’s. At tumblr this problem was solved with a simple libevent based HTTP service that essentially generates ID’s fast enough to meet our current demand and handles failure/startup by grabbing the MAX(id) (plus a large cushion). This approach has a duplicate id/mutli-datacenter problem, but we’ll dea
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GitHub - twitter-archive/snowflake: Snowflake is a network service for generating unique ID numbers at high scale with some simple guarantees.
