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Update README.md
added doordash elasticsearch article
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@ -347,7 +347,8 @@ An updated and organized reading list for illustrating the patterns of scalable,
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* [Moving Core Business Search to Elasticsearch at Yelp](https://engineeringblog.yelp.com/2017/06/moving-yelps-core-business-search-to-elasticsearch.html)
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* [Sharding out Elasticsearch at Vinted](http://engineering.vinted.com/2017/06/05/sharding-out-elasticsearch/)
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* [Self-Ranking Search with Elasticsearch at Wattpad](http://engineering.wattpad.com/post/146216619727/self-ranking-search-with-elasticsearch-at-wattpad)
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* [Vulcanizer: a library for operating Elasticsearch at Github](https://github.blog/2019-03-05-vulcanizer-a-library-for-operating-elasticsearch/)
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* [Vulcanizer: a library for operating Elasticsearch at Github](https://github.blog/2019-03-05-vulcanizer-a-library-for-operating-elasticsearch/)
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* [Building Faster Indexing with Apache Kafka and Elasticsearch](https://doordash.engineering/2021/07/14/open-source-search-indexing/)
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* [Distributed Storage](http://highscalability.com/blog/2011/11/1/finding-the-right-data-solution-for-your-application-in-the.html)
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* [In-memory Storage](https://medium.com/@denisanikin/what-an-in-memory-database-is-and-how-it-persists-data-efficiently-f43868cff4c1)
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* [MemSQL Architecture - The Fast (MVCC, InMem, LockFree, CodeGen) And Familiar (SQL)](http://highscalability.com/blog/2012/8/14/memsql-architecture-the-fast-mvcc-inmem-lockfree-codegen-and.html)
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