2011-12-15 14:26:17 +01:00
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.. _use-cases:
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################################
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Examples of use-cases for Akka
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################################
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We see Akka being adopted by many large organizations in a big range of industries
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all from investment and merchant banking, retail and social media, simulation,
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gaming and betting, automobile and traffic systems, health care, data analytics
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and much more. Any system that have the need for high-throughput and low latency
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is a good candidate for using Akka.
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2011-05-04 13:57:40 +02:00
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2011-12-14 12:08:47 +01:00
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There is a great discussion on use-cases for Akka with some good write-ups by production
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users `here <http://stackoverflow.com/questions/4493001/good-use-case-for-akka/4494512#4494512>`_
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2011-05-04 13:57:40 +02:00
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Here are some of the areas where Akka is being deployed into production
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2011-12-15 14:26:17 +01:00
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=======================================================================
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2011-05-04 13:57:40 +02:00
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2011-12-15 14:26:17 +01:00
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Transaction processing (Online Gaming, Finance/Banking, Trading, Statistics, Betting, Social Media, Telecom)
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------------------------------------------------------------------------------------------------------------
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2011-05-04 13:57:40 +02:00
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Scale up, scale out, fault-tolerance / HA
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2011-12-15 14:26:17 +01:00
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Service backend (any industry, any app)
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---------------------------------------
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2011-05-04 13:57:40 +02:00
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Service REST, SOAP, Cometd, WebSockets etc
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Act as message hub / integration layer
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Scale up, scale out, fault-tolerance / HA
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2011-12-15 14:26:17 +01:00
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Concurrency/parallelism (any app)
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---------------------------------
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2011-05-04 13:57:40 +02:00
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Correct
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Simple to work with and understand
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Just add the jars to your existing JVM project (use Scala, Java, Groovy or JRuby)
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2011-12-15 14:26:17 +01:00
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Simulation
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----------
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2011-05-04 13:57:40 +02:00
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Master/Worker, Compute Grid, MapReduce etc.
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2011-12-15 14:26:17 +01:00
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Batch processing (any industry)
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-------------------------------
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2011-05-04 13:57:40 +02:00
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Camel integration to hook up with batch data sources
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Actors divide and conquer the batch workloads
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2011-12-15 14:26:17 +01:00
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Communications Hub (Telecom, Web media, Mobile media)
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-----------------------------------------------------
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2011-05-04 13:57:40 +02:00
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Scale up, scale out, fault-tolerance / HA
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2011-12-15 14:26:17 +01:00
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Gaming and Betting (MOM, online gaming, betting)
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------------------------------------------------
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2011-05-04 13:57:40 +02:00
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Scale up, scale out, fault-tolerance / HA
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2011-12-15 14:26:17 +01:00
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Business Intelligence/Data Mining/general purpose crunching
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-----------------------------------------------------------
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2011-05-04 13:57:40 +02:00
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Scale up, scale out, fault-tolerance / HA
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2011-12-15 14:26:17 +01:00
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Complex Event Stream Processing
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-------------------------------
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2011-05-04 13:57:40 +02:00
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Scale up, scale out, fault-tolerance / HA
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