From 7f0deed04ed668236e98c4ae5465e42071a97d0f Mon Sep 17 00:00:00 2001 From: binhnguyennus Date: Thu, 10 May 2018 23:47:04 +0800 Subject: [PATCH] Scaling Elasticsearch Clusters at Uber --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 14604db..ec40ccf 100644 --- a/README.md +++ b/README.md @@ -202,6 +202,7 @@ An updated and curated list of selected readings to illustrate best practices in * [Nebula: Storage Platform to Build Search Backends at Airbnb](https://medium.com/airbnb-engineering/nebula-as-a-storage-platform-to-build-airbnbs-search-backends-ecc577b05f06) * [ELK (Elasticsearch, Logstash, Kibana) Stack](https://logz.io/blog/15-tech-companies-chose-elk-stack/) * [Predictions in Real Time with ELK at Uber](https://eng.uber.com/elk/) + * [Scaling Elasticsearch Clusters at Uber](https://www.infoq.com/presentations/uber-elasticsearch-clusters?utm_source=presentations_about_Case_Study&utm_medium=link&utm_campaign=Case_Study) * [Elasticsearch Performance Tuning Practice at eBay](https://www.ebayinc.com/stories/blogs/tech/elasticsearch-performance-tuning-practice-at-ebay/) * [Elasticsearch at Kickstarter](https://kickstarter.engineering/elasticsearch-at-kickstarter-db3c487887fc) * [Distributed Troubleshooting Platform with ELK Stack at Target.com](http://target.github.io/infrastructure/distributed-troubleshooting)