When it comes to big data processing, we can no longer ignore
concurrency or try to add it in after the fact. Fortunately, the
solution is not a new paradigm of development, but rather an old
one. With this hands-on guide, Java and Scala developers will learn
how to embrace concurrent and distributed applications with the
open source Akka toolkit. You'll learn how to put the actor model
and its associated patterns to immediate and practical use.
Throughout the book, you'll deal with an analogous workforce
problem: how to schedule a group of people across a variety of
projects while optimizing their time and skillsets. This example
will help you understand how Akka uses actors, streams, and other
tools to stitch your application together. Model software that
reflects the real world with domain-driven design Learn principles
and practices for implementing individual actors Unlock the real
potential of Akka with patterns for combining multiple actors
Understand the consistency tradeoffs in a distributed system Use
several Akka methods for isolating and dealing with failures
Explore ways to build systems that support availability and
scalability Tune your Akka application for performance with JVM
tools and dispatchers
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