Post by @instagram-engineeringWith 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 the data. Our application servers run Django with PostgreSQL as our back-end database. Our first questi
