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@ -177,7 +177,7 @@ Further more, dealing with realtime processing at that time was all about java e
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There was Storm, Kafka, Zookeeper, etc...
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There was Storm, Kafka, Zookeeper, etc...
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So using a language which could use all the java libraries seemed very important to us.
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So using a language which could use all the java libraries seemed very important to us.
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With that in mind we simply had t choose between Scala and Clojure.
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With that in mind we simply had to choose between Scala and Clojure.
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Looking at scala, it was clear that it will be to Java what C++ is to C.
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Looking at scala, it was clear that it will be to Java what C++ is to C.
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While Clojure being a descendant from the LISP family, we found that everything was simple, easier to read and understand.
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While Clojure being a descendant from the LISP family, we found that everything was simple, easier to read and understand.
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Clojure community sounded great.
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Clojure community sounded great.
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@ -185,7 +185,7 @@ Clojure community sounded great.
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Furthermore Storm was first written in Clojure.
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Furthermore Storm was first written in Clojure.
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So go go go!
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So go go go!
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t was during summer that most technical choices were made.
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It was during summer that most technical choices were made.
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1. We wanted to deploy using Mesos / Marathon,
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1. We wanted to deploy using Mesos / Marathon,
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2. Use Kafka and Storm,
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2. Use Kafka and Storm,
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@ -199,7 +199,7 @@ Each choice was balanced.
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In the end some of those choices were changed throught practice.
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In the end some of those choices were changed throught practice.
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For instance, we discarded Storm.
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For instance, we discarded Storm.
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The power of core.async was more than enough efficiently exploit all the juice of our machines,
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The power of `core.async` was more than enough efficiently exploit all the juice of our machines,
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Storm added some unnecessary latency and complexity.
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Storm added some unnecessary latency and complexity.
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Today you can see a result here:
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Today you can see a result here:
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