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Self-Ranking Search with Elasticsearch at Wattpad

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@ -243,6 +243,7 @@ An updated and curated list of readings to illustrate best practices and pattern
* [Log Parsing with Logstash and Google Protocol Buffers at Trivago](https://tech.trivago.com/2016/01/19/logstash_protobuf_codec/) * [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) * [Fast Order Search using Data Pipeline and Elasticsearch at Yelp](https://engineeringblog.yelp.com/2018/06/fast-order-search.html)
* [Sharding out Elasticsearch at Vinted](http://engineering.vinted.com/2017/06/05/sharding-out-elasticsearch/) * [Sharding out Elasticsearch at Vinted](http://engineering.vinted.com/2017/06/05/sharding-out-elasticsearch/)
* [Self-Ranking Search with Elasticsearch at Wattpad](http://engineering.wattpad.com/post/146216619727/self-ranking-search-with-elasticsearch-at-wattpad)
* [Distributed Storage](http://highscalability.com/blog/2011/11/1/finding-the-right-data-solution-for-your-application-in-the.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) * [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) * [Introduction to In-memory Data - Viktor Gamov, Solutions Architect at Hazelcast](https://www.infoq.com/presentations/in-memory-data)