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refactor the section of Event-Driven Architecture
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README.md
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README.md
@ -315,17 +315,11 @@ An updated and curated list of selected readings to illustrate High Scalability,
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* [On the Death of Map-Reduce - Henry Robinson, Cloudera](http://the-paper-trail.org/blog/the-elephant-was-a-trojan-horse-on-the-death-of-map-reduce-at-google/)
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* [Server-side Optimization to Parallelize the Rendering of Web Pages at Yelp](https://engineeringblog.yelp.com/2017/07/generating-web-pages-in-parallel-with-pagelets.html)
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* [Event-Driven Architecture](https://martinfowler.com/articles/201701-event-driven.html)
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* [Stream Processing, Event Sourcing, Reactive, CEP, etc and Making sense of it all - Martin Kleppmann](https://www.confluent.io/blog/making-sense-of-stream-processing/)
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* [Messaging](https://www.ibm.com/support/knowledgecenter/en/SSAW57_8.5.5/com.ibm.websphere.nd.doc/ae/cjt1004_.html)
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* [Publish-Subscribe](https://aws.amazon.com/pub-sub-messaging/)
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* [Autoscaling Pub-Sub Consumers at Spotify](https://labs.spotify.com/2017/11/20/autoscaling-pub-sub-consumers/)
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* [Pulsar: Pub-Sub Messaging at Scale at Yahoo](https://yahooeng.tumblr.com/post/150078336821/open-sourcing-pulsar-pub-sub-messaging-at-scale)
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* [Wormhole: Pub-Sub system at Facebook (2013)](https://code.facebook.com/posts/188966771280871/wormhole-pub-sub-system-moving-data-through-space-and-time/)
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* [Pub-Sub in Chatting Architecture on LINE LIVE](https://engineering.linecorp.com/en/blog/detail/85)
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* [Point-To-Point and Its Differences from Pub-Sub](https://www.journaldev.com/9743/jms-messaging-models)
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* [Store-Forward](https://docs.oracle.com/cd/E13222_01/wls/docs91/saf_admin/overview.html)
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* [Request-Reply](https://docs.tibco.com/pub/ftl/4.3.0/doc/html/GUID-A64ABED1-682E-4E1D-A94A-5590CB91B9BB.html)
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* [Enterprise Service Bus](http://www.oracle.com/technetwork/articles/soa/ind-soa-esb-1967705.html)
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* [Pub-Sub Messaging](https://aws.amazon.com/pub-sub-messaging/)
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* [Autoscaling Pub-Sub Consumers at Spotify](https://labs.spotify.com/2017/11/20/autoscaling-pub-sub-consumers/)
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* [Pulsar: Pub-Sub Messaging at Scale at Yahoo](https://yahooeng.tumblr.com/post/150078336821/open-sourcing-pulsar-pub-sub-messaging-at-scale)
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* [Wormhole: Pub-Sub system at Facebook (2013)](https://code.facebook.com/posts/188966771280871/wormhole-pub-sub-system-moving-data-through-space-and-time/)
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* [Pub-Sub in Chatting Architecture on LINE LIVE](https://engineering.linecorp.com/en/blog/detail/85)
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* [Domain Events](https://martinfowler.com/eaaDev/DomainEvent.html)
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* [Domain Events: Simple and Reliable Solution](http://enterprisecraftsmanship.com/2017/10/03/domain-events-simple-and-reliable-solution/)
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* [Domain-Driven Design in Organizing Monolith Before Breaking it into Services at Weebly](https://medium.com/weebly-engineering/how-to-organize-your-monolith-before-breaking-it-into-services-69cbdb9248b0)
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@ -337,7 +331,12 @@ An updated and curated list of selected readings to illustrate High Scalability,
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* [Command & Query Responsibility Segregation (CQRS)](https://docs.microsoft.com/en-us/azure/architecture/patterns/cqrs)
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* [Exploring CQRS and Event Sourcing - MSDN (with free ebook)](https://msdn.microsoft.com/en-us/library/jj554200.aspx)
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* [CQRS Simple Architecture](https://www.future-processing.pl/blog/cqrs-simple-architecture/)
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* [Building Scalable Applications Using Event Sourcing and CQRS with Kafka](https://initiate.andela.com/event-sourcing-and-cqrs-a-look-at-kafka-e0c1b90d17d8)
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* [Building Scalable Applications Using Event Sourcing and CQRS with Kafka](https://initiate.andela.com/event-sourcing-and-cqrs-a-look-at-kafka-e0c1b90d17d8)
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* [Stream Processing, Event Sourcing, Reactive, CEP, etc - Martin Kleppmann](https://www.confluent.io/blog/making-sense-of-stream-processing/)
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* [Point-To-Point and Its Differences from Pub-Sub](https://www.journaldev.com/9743/jms-messaging-models)
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* [Store-Forward](https://docs.oracle.com/cd/E13222_01/wls/docs91/saf_admin/overview.html)
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* [Request-Reply](https://docs.tibco.com/pub/ftl/4.3.0/doc/html/GUID-A64ABED1-682E-4E1D-A94A-5590CB91B9BB.html)
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* [Enterprise Service Bus](http://www.oracle.com/technetwork/articles/soa/ind-soa-esb-1967705.html)
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* [Distributed Machine Learning](https://arxiv.org/pdf/1512.09295.pdf)
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* [Scalable Deep Learning Platform On Spark In Baidu](https://www.slideshare.net/JenAman/scalable-deep-learning-platform-on-spark-in-baidu)
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* [Horovod: Uber’s Open Source Distributed Deep Learning Framework for TensorFlow](https://eng.uber.com/horovod/)
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