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BL
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| Record Number
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851402
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| Main Entry
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Nash, Michael.
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| Title & Author
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Applied Akka patterns : : a hands-on guide to designing distributed applications /\ Michael Nash and Wade Waldron.
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| Publication Statement
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Beijing ;Boston :: O'Reilly Media,, [2017]
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, ©2017
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| Page. NO
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1 online resource (ix, 181 pages) :: illustrations
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| ISBN
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1491934859
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: 9781491934852
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1491934832
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1491934840
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1491934883
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9781491934883
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Cover; Copyright; Table of Contents; Preface; Conventions Used in This Book; O'Reilly Safari; How to Contact Us; Acknowledgments; Chapter 1. The Actor Model; Reality Is Eventually Consistent; Deconstructing the Actor Model; All Computation Is Performed Within an Actor; Actors Can Communicate Only Through Messages; Actors Can Create Child Actors; Actors Can Change Their State or Behavior; Everything Is an Actor; Uses of the Actor Model; Defining Clear Boundaries; When Is the Actor Model Appropriate?; Conclusion; Chapter 2. Introducing Akka; What Is Akka?; Akka Is Open Source.
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Akka Is Under Active DevelopmentAkka Is Distributed by Design; Akka Components; Akka Actor; Child Actors; Remoting: Actors on Different JVMs; Clustering: Automatic Management of Membership; Akka HTTP; TestKit; Contrib; Akka OSGi; Akka HTTP; Akka Streams; Akka's Implementation of the Actor Model; Akka's Actors in the Actor Model; Message Passing; Actor Systems; The Akka Typed Project; Conclusion; Chapter 3. Distributed Domain-Driven Design; DDD Overview; The Benefits of DDD; Components of DDD; Domain Entities; Domain Value Objects; Aggregates and Aggregate Roots; Repositories.
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Bounded MailboxesWork Pulling; Back Pressure; Acks; High-Water Marks; Queue-Size Monitoring; Rate Monitoring; Akka Streams; Source; Sink; RunnableGraph; Flow; Junctions; Back Pressure in Akka Streams; Using Akka Streams; Conclusion; Chapter 6. Consistency and Scalability; Transactions and Consistency; Strong Versus Eventual Consistency; Concurrency Versus Parallelism; Why Globally Consistent Distributed State Doesn't Scale; Location Transparency; Delivery Guarantees; At Most Once; At Least Once; Exactly Once Doesn't Exist (But Can Be Approximated).
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Factories and Object CreationDomain Services; Bounded Contexts; Conclusion; Chapter 4. Good Actor Design; Starting Small; Encapsulating State in Actors; Encapsulating State by Using Fields; Encapsulating State by Using "State" Containers; Encapsulating State by Using become; Mixing Futures with Actors; Ask Pattern and Alternatives; Problems with Ask; Accidental Complexity; Alternatives to Ask; Commands Versus Events; Constructor Dependency Injection; actorSelection via Path; Conclusion; Chapter 5. Good Data Flow; Throughput Versus Latency; Streams; Routers; Mailboxes; Unbounded Mailboxes.
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How Do You Approximate Exactly Once Delivery?Cluster Singleton; Scalability; Avoid Global State; Avoid Shared State; Follow the Actor Model; Avoid Sequential Operations; Isolate Blocking Operations; Monitor and Tune; Cluster Sharding and Consistency; Sharding; Sharding in Akka; Shard Key Generation; Shard Distribution; Consistency Boundary; Scalability Boundary; Sharding Aggregate Roots; Persistence; Passivation; Using Cluster Sharding for Consistency; Conclusion; Chapter 7. Fault Tolerance; Types of Failures; Exceptions; Fatal Errors in the JVM; External Service Failures.
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| Subject
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Application software-- Development.
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Application software-- Development.
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COMPUTERS-- Computer Literacy.
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COMPUTERS-- Computer Science.
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COMPUTERS-- Data Processing.
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COMPUTERS-- Hardware-- General.
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COMPUTERS-- Information Technology.
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COMPUTERS-- Machine Theory.
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| Subject
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COMPUTERS-- Reference.
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| Dewey Classification
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004.36
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| LC Classification
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QA76.76.A65
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| Added Entry
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Waldron, Wade.
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