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add a subsection for ELK Stack

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binhnguyennus 2018-03-28 11:47:42 +08:00
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@ -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)