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5 Commits

Author SHA1 Message Date
Anthony Palomarez
1d20686e78
Merge 70e17f2344 into 29ab5e7ab3 2024-09-27 20:28:50 +06:00
binhnguyennus
29ab5e7ab3 Machine Learning in Content Moderation at Etsy 2024-09-01 21:23:28 +08:00
Binh Nguyen
56d4e2a830
Merge pull request #105 from KoHHeKT/patch-1
Add Figma rate limiting article
2024-09-01 21:04:12 +08:00
Sergei Churbanov
3215d39e96
Update README.md
add figma rate limiting article
2024-08-29 20:52:43 +03:00
Anthony Randall
70e17f2344
Update README.md
added doordash elasticsearch article
2021-08-20 09:01:46 -06:00

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@ -360,7 +360,8 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Moving Core Business Search to Elasticsearch at Yelp](https://engineeringblog.yelp.com/2017/06/moving-yelps-core-business-search-to-elasticsearch.html)
* [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)
* [Vulcanizer: a library for operating Elasticsearch at Github](https://github.blog/2019-03-05-vulcanizer-a-library-for-operating-elasticsearch/)
* [Vulcanizer: a library for operating Elasticsearch at Github](https://github.blog/2019-03-05-vulcanizer-a-library-for-operating-elasticsearch/)
* [Building Faster Indexing with Apache Kafka and Elasticsearch](https://doordash.engineering/2021/07/14/open-source-search-indexing/)
* [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)
* [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)
@ -559,6 +560,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Distributed Rate Limiting at Allegro](https://allegro.tech/2017/04/hermes-max-rate.html)
* [Ratequeue: Core Queueing-And-Rate-Limiting System at Twilio](https://www.twilio.com/blog/2017/11/chaos-engineering-ratequeue-ha.html)
* [Quotas Service at Grab](https://engineering.grab.com/quotas-service)
* [Rate Limiting at Figma](https://medium.com/figma-design/an-alternative-approach-to-rate-limiting-f8a06cf7c94c)
* [Autoscaling](https://medium.com/@BotmetricHQ/top-11-hard-won-lessons-learned-about-aws-auto-scaling-5bfe56da755f)
* [Autoscaling Pinterest](https://medium.com/@Pinterest_Engineering/auto-scaling-pinterest-df1d2beb4d64)
* [Autoscaling Based on Request Queuing at Square](https://medium.com/square-corner-blog/autoscaling-based-on-request-queuing-c4c0f57f860f)
@ -818,6 +820,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Optimizing Payments with Machine Learning at Dropbox](https://dropbox.tech/machine-learning/optimizing-payments-with-machine-learning)
* [Scaling Media Machine Learning at Netflix](https://netflixtechblog.com/scaling-media-machine-learning-at-netflix-f19b400243)
* [Similarity Engine at eBay](https://tech.ebayinc.com/engineering/ebays-blazingly-fast-billion-scale-vector-similarity-engine/)
* [Machine Learning in Content Moderation at Etsy](https://www.etsy.com/codeascraft/machine-learning-in-content-moderation-at-etsy)
## Architecture
* [Tech Stack at Medium](https://medium.engineering/the-stack-that-helped-medium-drive-2-6-millennia-of-reading-time-e56801f7c492)