The idea is to filter the sources, replacing @<var>@ occurrences with the mapping for <var> (which is currently hard-coded). @@ -> @. In order to make this work, I had to move the doc sources one directory down (into akka-docs/rst) so that the filtered result could be in a sibling directory so that relative links (to _sphinx plugins or real code) would continue to work. While I was at it I also changed it so that WARNINGs and ERRORs are not swallowed into the debug dump anymore but printed at [warn] level (minimum). One piece of fallout is that the (online) html build is now run after the normal one, not in parallel.
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47 lines
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Why Akka?
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=========
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What features can the Akka platform offer, over the competition?
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----------------------------------------------------------------
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Akka provides scalable real-time transaction processing.
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Akka is an unified runtime and programming model for:
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- Scale up (Concurrency)
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- Scale out (Remoting)
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- Fault tolerance
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One thing to learn and admin, with high cohesion and coherent semantics.
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Akka is a very scalable piece of software, not only in the performance sense,
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but in the size of applications it is useful for. The core of Akka, akka-actor,
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is very small and easily dropped into an existing project where you need
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asynchronicity and lockless concurrency without hassle.
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You can choose to include only the parts of akka you need in your application
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and then there's the whole package, the Akka Microkernel, which is a standalone
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container to deploy your Akka application in. With CPUs growing more and more
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cores every cycle, Akka is the alternative that provides outstanding performance
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even if you're only running it on one machine. Akka also supplies a wide array
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of concurrency-paradigms, allowing for users to choose the right tool for the
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job.
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What's a good use-case 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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Actors lets you manage service failures (Supervisors), load management (back-off
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strategies, timeouts and processing-isolation), both horizontal and vertical
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scalability (add more cores and/or add more machines).
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Here's what some of the Akka users have to say about how they are using Akka:
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http://stackoverflow.com/questions/4493001/good-use-case-for-akka
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All this in the ApacheV2-licensed open source project.
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