From fe9a6cc8079b3c7487f7542ea0694eb8894f182d Mon Sep 17 00:00:00 2001 From: binhnguyennus Date: Wed, 28 Mar 2018 11:47:42 +0800 Subject: [PATCH] add a subsection for ELK Stack --- README.md | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index 8a07f15..f2f0032 100644 --- a/README.md +++ b/README.md @@ -161,8 +161,7 @@ An updated and curated list of selected readings to illustrate High Scalability, * [Distributed Searching](http://nwds.cs.washington.edu/files/nwds/pdf/Distributed-WR.pdf) * [Search Architecture of Instagram](https://engineering.instagram.com/search-architecture-eeb34a936d3a) * [Search Architecture of eBay](http://www.cs.otago.ac.nz/homepages/andrew/papers/2017-8.pdf) - * [Improving Search Engine Efficiency by over 25% at eBay](https://www.ebayinc.com/stories/blogs/tech/making-e-commerce-search-faster/) - * [Elasticsearch Performance Tuning Practice at eBay](https://www.ebayinc.com/stories/blogs/tech/elasticsearch-performance-tuning-practice-at-ebay/) + * [Improving Search Engine Efficiency by over 25% at eBay](https://www.ebayinc.com/stories/blogs/tech/making-e-commerce-search-faster/) * [Nautilus: Travel Search Engine of Expedia](http://blog.expedia.com/expedias-nautilus-travel-search-engine-overview-and-applications/) * [Galene: Search Architecture of LinkedIn (2014)](https://engineering.linkedin.com/search/did-you-mean-galene) * [Search Federation Architecture at LinkedIn (2018)](https://engineering.linkedin.com/blog/2018/03/search-federation-architecture-at-linkedin) @@ -171,9 +170,11 @@ An updated and curated list of selected readings to illustrate High Scalability, * [Manas: High Performing Customized Search System at Pinterest](https://medium.com/@Pinterest_Engineering/manas-a-high-performing-customized-search-system-cf189f6ca40f) * [Sherlock: Near Real Time Search Indexing at Flipkart](https://tech.flipkart.com/sherlock-near-real-time-search-indexing-95519783859d) * [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) - * [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) - * [ELK at Robinhood](https://robinhood.engineering/taming-elk-4e1349f077c3) + * [ELK (Elasticsearch, Logstash, Kibana) Stack](https://logz.io/blog/15-tech-companies-chose-elk-stack/) + * [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) + * [ELK at Robinhood](https://robinhood.engineering/taming-elk-4e1349f077c3) * [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)