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※ Play2.0.3 時代ã®å¤ã„ã‚„ã¤ã§ã™ Playframework 㯠Akka を利用ã—ã¦ãŠã‚Šã€æ€§èƒ½ã«ç›´çµã—ã¦ã‚‹ã€‚ ã‚‚ã—ã€CPUやメモリã«ä½™è£•ãŒã‚ã‚Šã€æ›´ã«å¤§è¦æ¨¡ãªã‚¢ã‚¯ã‚»ã‚¹ã«å¯¾å¿œã—ãŸã„å ´åˆã¯ã€è¨å®šã‚’上書ãã§ãる。 application.conf ã§è¨å®šå¯èƒ½ã ãŒã€Playã®ãƒ‡ãƒ•ã‚©ãƒ«ãƒˆè¨å®šã¯ä¸‹è¨˜ã§ã‚ã‚‹ play { akka { event-handlers = ["akka.event.slf4j.Slf4jEventHandler"] loglevel = WARNING actor { deployment { // Akka コントãƒãƒ¼ãƒ©å‡¦ç†ã‚’実行ã™ã‚‹Actorè¨å®š(デフォルト24個ã®ã‚¢ã‚¯ã‚¿ãƒ¼ã‚’ラウンドãƒãƒ“ンã§ä½¿ã„ã¾ã‚ã—) /actions { router = round-robin nr-of-instances = 24 } // タイムアウトã¾ã§ã«å¿œç”ãŒå®Œäº†ã§ããªã„å ´åˆã®
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Concurrent and Distributed Applications with Akka, Java and Scala
Concurrent and Distributed Applications with Akka, Java and ScalaAI-enhanced description The document discusses concurrency and distribution in applications using Akka, Java and Scala. It covers key concepts like actors, messages and message passing in Akka. It describes how actors encapsulate state and behavior, communicate asynchronously via message passing and provide built-in concurrency witho
Using TCP • Akka Documentation
The Akka dependencies are available from Akka’s secure library repository. To access them you need to use a secure, tokenized URL as specified at https://account.akka.io/token. To use TCP, you must add the following dependency in your project: sbtval AkkaVersion = "2.10.8" libraryDependencies += "com.typesafe.akka" %% "akka-actor" % AkkaVersionMaven<properties> <scala.binary.version>2.13</scala.bi
Jvm operation casual talks
This document summarizes steps taken to optimize CPU usage of a JVM running an Akka application using Spray. The application was not utilizing the CPU effectively, with throughput very low. Understanding Akka's asynchronous, actor-based architecture and obtaining thread dumps revealed the logging was blocking threads. The solution was to configure logging to occur asynchronously within actors to a
Akka vs. Finagle vs. Storm
Akka, Finagle and Storm are 3 new open source frameworks for distributed parallel and concurrent programming. They all run on the JVM and work well with Java and Scala. They are very useful for many common problems: Real-time analytics Complex website with different input and outputs Finance Multiplayer games Big data Akka, Finagle and Storm are all very elegant solutions optimized for different p
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