From 90ffed1f9381999aa982ee9c3483ca23f92b13d6 Mon Sep 17 00:00:00 2001 From: Igor Canadi Date: Fri, 22 Apr 2016 15:53:32 -0700 Subject: [PATCH] Update USERS.md with link to LinkedIn blog post (#1088) --- USERS.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/USERS.md b/USERS.md index c873ca386..655fd9f88 100644 --- a/USERS.md +++ b/USERS.md @@ -9,7 +9,7 @@ At Facebook, we use RocksDB as a backend for many different stateful services. W ## LinkedIn Two different use cases at Linkedin are using RocksDB as a storage engine: -1. LinkedIn's follow feed for storing user's activities +1. LinkedIn's follow feed for storing user's activities. Check out the blog post: https://engineering.linkedin.com/blog/2016/03/followfeed--linkedin-s-feed-made-faster-and-smarter 2. Apache Samza, open source framework for stream processing Learn more about those use cases in a Tech Talk by Ankit Gupta and Naveen Somasundaram: http://www.youtube.com/watch?v=plqVp_OnSzg @@ -55,4 +55,4 @@ Pinterest's Object Retrieval System uses RocksDB for storage: https://www.youtub ## quasardb [quasardb](https://www.quasardb.net) is a high-performance, distributed, transactional key-value database that integrates well with in-memory analytics engines such as Apache Spark. -quasardb uses a heavily tuned RocksDB as its persistence layer. \ No newline at end of file +quasardb uses a heavily tuned RocksDB as its persistence layer.