Storing hundreds of millions of simple key-value pairs in Redis
Welcome to the Instagram Engineering Blog, where we share insights on building and scaling our service. When transitioning systems, sometimes you have to build a little scaffolding. At Instagram, we recently had to do just that: for legacy reasons, we need to keep around a mapping of about 300 million photos back to the user ID that created them, in order to know which shard to query (see more inf
Haskell at Bump - Bump Dev Blog
This post was written by Jamie from Bump's server team. At Bump, we're always willing to try something "off the beaten path" to get an edge. For example, our backend systems are almost entirely non-blocking and coroutine based, written in Python using Diesel; we have an in-house analyzer written in Ruby that verifies retained properties are released in our iPhone code; and, when we recently launch
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