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add a new section for real-time analytics database

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binhnguyennus 2019-08-26 06:46:26 +08:00
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@ -245,7 +245,6 @@ An organized reading list for illustrating the patterns of scalable, reliable, a
* [Enterprise Key Management at Slack](https://slack.engineering/engineering-dive-into-slack-enterprise-key-management-1fce471b178c)
* [Distributed Messaging, Queuing, and Event Streaming](https://arxiv.org/pdf/1704.00411.pdf)
* [Cape: Event Stream Processing Framework at Dropbox](https://blogs.dropbox.com/tech/2017/05/introducing-cape/)
* [Druid: Event Stream Analytics at Walmart](https://medium.com/walmartlabs/event-stream-analytics-at-walmart-with-druid-dcf1a37ceda7)
* [Brooklin: Distributed Service for Near Real-Time Data Streaming at LinkedIn](https://engineering.linkedin.com/blog/2019/brooklin-open-source)
* [Samza: Stream Processing System for Latency Insighs at LinkedIn](https://engineering.linkedin.com/blog/2018/04/samza-aeon--latency-insights-for-asynchronous-one-way-flows)
* [Bullet: Forward-Looking Query Engine for Streaming Data at Yahoo](https://yahooeng.tumblr.com/post/161855616651/open-sourcing-bullet-yahoos-forward-looking)
@ -436,17 +435,17 @@ An organized reading list for illustrating the patterns of scalable, reliable, a
* [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/)
* [What is Time-Series Data & Why We Need a Time-Series Database](https://blog.timescale.com/what-the-heck-is-time-series-data-and-why-do-i-need-a-time-series-database-dcf3b1b18563)
* [Time Series Data: Why and How to Use a Relational Database instead of NoSQL](https://blog.timescale.com/time-series-data-why-and-how-to-use-a-relational-database-instead-of-nosql-d0cd6975e87c)
* [Practical Guide to Monitoring and Alerting with Time Series at Scale](https://www.usenix.org/conference/srecon17americas/program/presentation/wilkinson)
* [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)
* [Atlas: In-memory Dimensional Time Series Database at Netflix](https://medium.com/netflix-techblog/introducing-atlas-netflixs-primary-telemetry-platform-bd31f4d8ed9a)
* [Heroic: Time Series Database at Spotify](https://labs.spotify.com/2015/11/17/monitoring-at-spotify-introducing-heroic/)
* [Roshi: Distributed Storage System for Time-Series Event at SoundCloud](https://developers.soundcloud.com/blog/roshi-a-crdt-system-for-timestamped-events)
* [Goku: Time Series Database at Pinterest](https://medium.com/@Pinterest_Engineering/goku-building-a-scalable-and-high-performant-time-series-database-system-a8ff5758a181)
* [Building a Scalable Time Series Database on PostgreSQL](https://blog.timescale.com/when-boring-is-awesome-building-a-scalable-time-series-database-on-postgresql-2900ea453ee2)
* [Scaling Time Series Data Storage (2 parts) at Netflix](https://medium.com/netflix-techblog/scaling-time-series-data-storage-part-ii-d67939655586)
* [Real-time Analytics Database (Druid)](https://druid.apache.org/)
* [Druid at Airbnb](https://medium.com/airbnb-engineering/druid-airbnb-data-platform-601c312f2a4c)
* [Druid at Walmart](https://medium.com/walmartlabs/event-stream-analytics-at-walmart-with-druid-dcf1a37ceda7)
* [Druid at eBay](https://tech.ebayinc.com/engineering/monitoring-at-ebay-with-druid/)
* [Distributed Repositories, Dependencies, and Configurations Management](https://betterexplained.com/articles/intro-to-distributed-version-control-illustrated/)
* [Distributed Version Control Systems: A Not-So-Quick Guide Through](https://www.infoq.com/articles/dvcs-guide)
* [DGit: Distributed Git at Github](https://githubengineering.com/introducing-dgit/)