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@ -137,6 +137,14 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Avoiding Cache Stampede at DoorDash](https://blog.doordash.com/avoiding-cache-stampede-at-doordash-55bbf596d94b)
* [Location Caching with Quadtrees at Yext](http://engblog.yext.com/post/geolocation-caching)
* [Pycache: In-process Caching at Quora](https://engineering.quora.com/Pycache-lightning-fast-in-process-caching)
* [Scaling Redis at Twitter](http://highscalability.com/blog/2014/9/8/how-twitter-uses-redis-to-scale-105tb-ram-39mm-qps-10000-ins.html)
* [Scaling Job Queue with Redis at Slack](https://slack.engineering/scaling-slacks-job-queue-687222e9d100)
* [Moving persistent data out of Redis at Github](https://githubengineering.com/moving-persistent-data-out-of-redis/)
* [Storing Hundreds of Millions of Simple Key-Value Pairs in Redis at Instagram](https://engineering.instagram.com/storing-hundreds-of-millions-of-simple-key-value-pairs-in-redis-1091ae80f74c)
* [Redis at Trivago](http://tech.trivago.com/2017/01/25/learn-redis-the-hard-way-in-production/)
* [Optimizing Redis Storage at Deliveroo](https://deliveroo.engineering/2017/01/19/optimising-membership-queries.html)* [Memory Optimization in Redis at Wattpad](http://engineering.wattpad.com/post/23244724794/store-more-stuff-memory-optimization-in-redis)
* [Sending an e-mail to millions of users with Redis at Drivy](https://drivy.engineering/sending-mass-emails/)
* [Redis Fleet at Heroku](https://blog.heroku.com/rolling-redis-fleet)
* [HTTP Caching and CDN](https://developer.mozilla.org/en-US/docs/Web/HTTP/Caching)
* [Zynga Geo Proxy: Reducing Mobile Game Latency at Zynga](https://www.zynga.com/blogs/engineering/zynga-geo-proxy-reducing-mobile-game-latency)
* [Google AMP at Condé Nast](https://technology.condenast.com/story/the-why-and-how-of-google-amp-at-conde-nast)
@ -412,18 +420,6 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [FlockDB: Distributed Graph Database at Twitter](https://blog.twitter.com/engineering/en_us/a/2010/introducing-flockdb.html)
* [TAO: Distributed Data Store for the Social Graph at Facebook](https://www.cs.cmu.edu/~pavlo/courses/fall2013/static/papers/11730-atc13-bronson.pdf)
* [Akutan: Distributed Knowledge Graph Store at eBay](https://tech.ebayinc.com/engineering/akutan-a-distributed-knowledge-graph-store/)
* [Datastructure Databases (Redis, Hazelcast)](https://db-engines.com/en/system/Hazelcast%3BMemcached%3BRedis)
* [Scaling Redis at Twitter](http://highscalability.com/blog/2014/9/8/how-twitter-uses-redis-to-scale-105tb-ram-39mm-qps-10000-ins.html)
* [Scaling Job Queue with Redis at Slack](https://slack.engineering/scaling-slacks-job-queue-687222e9d100)
* [Moving persistent data out of Redis at Github](https://githubengineering.com/moving-persistent-data-out-of-redis/)
* [Storing Hundreds of Millions of Simple Key-Value Pairs in Redis at Instagram](https://engineering.instagram.com/storing-hundreds-of-millions-of-simple-key-value-pairs-in-redis-1091ae80f74c)
* [Redis in Chat Architecture of Twitch (from 27:22)](https://www.infoq.com/presentations/twitch-pokemon)
* [Learn Redis the hard way (in production) at Trivago](http://tech.trivago.com/2017/01/25/learn-redis-the-hard-way-in-production/)
* [Optimizing Session Key Storage in Redis at Deliveroo](https://deliveroo.engineering/2016/10/07/optimising-session-key-storage.html)
* [Optimizing Redis Storage at Deliveroo](https://deliveroo.engineering/2017/01/19/optimising-membership-queries.html)
* [Memory Optimization in Redis at Wattpad](http://engineering.wattpad.com/post/23244724794/store-more-stuff-memory-optimization-in-redis)
* [Sending an e-mail to millions of users (with Redis) at Drivy](https://drivy.engineering/sending-mass-emails/)
* [Redis Fleet at Heroku](https://blog.heroku.com/rolling-redis-fleet)
* [Time Series Databases](https://www.influxdata.com/time-series-database/)
* [Beringei: High-performance Time Series Storage Engine at Facebook](https://code.facebook.com/posts/952820474848503/beringei-a-high-performance-time-series-storage-engine/)
* [MetricsDB: TimeSeries Database for storing metrics at Twitter](https://blog.twitter.com/engineering/en_us/topics/infrastructure/2019/metricsdb.html)