From 7755a24fe025511484ac7cbb9b695e6df6d5e7cd Mon Sep 17 00:00:00 2001 From: Binh-Nguyen Date: Sun, 3 Jun 2018 10:38:37 +0800 Subject: [PATCH] Fast Order Search using Data Pipeline and Elasticsearch at Yelp --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 799905b..b49f97d 100644 --- a/README.md +++ b/README.md @@ -221,6 +221,7 @@ An updated and curated list of selected readings to illustrate best practices in * [Distributed Troubleshooting Platform with ELK Stack at Target.com](http://target.github.io/infrastructure/distributed-troubleshooting) * [ELK at Robinhood](https://robinhood.engineering/taming-elk-4e1349f077c3) * [Log Parsing with Logstash and Google Protocol Buffers at Trivago](https://tech.trivago.com/2016/01/19/logstash_protobuf_codec/) + * [Fast Order Search using Data Pipeline and Elasticsearch at Yelp](https://engineeringblog.yelp.com/2018/06/fast-order-search.html) * [Distributed Storage](http://highscalability.com/blog/2011/11/1/finding-the-right-data-solution-for-your-application-in-the.html) * [In-memory Storage](https://medium.com/@denisanikin/what-an-in-memory-database-is-and-how-it-persists-data-efficiently-f43868cff4c1) * [Introduction to In-memory Data - Viktor Gamov, Solutions Architect at Hazelcast](https://www.infoq.com/presentations/in-memory-data)