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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
Notes on Redis Memory Usage
A coworker and I were designing a solution to a rather interesting problem yesterday and we realized we needed a more in-depth understanding of the memory usage of the various datatypes in Redis to squeeze as much storage out of Redis as possible. Among other things we also wanted to verify some of statements in the Redis documentation, e.g. are hashes really preferable to creating pseudo-hashes b
Redisのメモリ管理ポリシーについて
オンメモリ KVS の Redis では、使用メモリに上限を設定し、閾値を超えた場合のポリシー(maxmemory-policy)を複数の中から設定できるようになっている。 パラメータとポリシーを整理したのが以下 使用メモリの上限値 redis.conf の次のパラメータで設定する。 maxmemory maxmemory-policy メモリ使用量が閾値を超えている状況でキー追加する場合の振る舞いを定義する。以下の 6 つの maxmemory-policy から選択できる。 volatile-lru : remove the key with an expire set using an LRU algorithm allkeys-lru : remove any key accordingly to the LRU algorithm volatile-random : remove
cosmic realms
I love redis. It's blazingly fast and wonderfully atomic. Back in December 2010 I converted the database behind World of Solitaire to redis 2.2 It's currently holding over 21 million keys and handling over 1,100 commands per second. Over the past 9 months RAM usage has slowly been increasing as more and more keys are inserted. A few days ago I realized I was very short on available RAM and had to
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Estimating Redis memory usage - <antirez>
Redis Memory Optimization
Improving Performance by 1000x
