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DDD+CQRS+Event Sourcingã¨Akkaã§ã®å®Ÿè£…ヒントを解説。
Playframework ã® Akka è¨å®šã‚’èªã¿è§£ã - 技術をã‹ã˜ã‚‹çŒ«
※ 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®
FURYU Tech Blog-フリューテックブãƒã‚° | Furyu Tech Blog
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Concurrent and Distributed Applications with Akka, Java and Scala
Concurrent and Distributed Applications with Akka, Java and Scala 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 without shared state or lock
Using TCP • Akka Documentation
Dependency The Akka dependencies are available from Akka’s library repository. To access them there, you need to configure the URL for this repository. sbtresolvers += "Akka library repository".at("https://repo.akka.io/maven") Maven<project> ... <repositories> <repository> <id>akka-repository</id> <name>Akka library repository</name> <url>https://repo.akka.io/maven</url> </repository> </repositori
Jvm operation casual talks
10. Cpu0 : 2.3%us, 0.7%sy, 0.0%ni, 97.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu1 : 0.3%us, 0.3%sy, 0.0%ni, 99.3%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu2 : 92.0%us, 6.0%sy, 0.0%ni, 2.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st Cpu3 : 5.4%us, 1.7%sy, 0.0%ni, 93.0%id, 0.0%wa, 0.0%hi, 0.0%si, 0.0%st スループットãŒå…¨ç„¶å‡ºãªã„ã¨æ€ã£ãŸã‚‰ã€ CPU一個ã—ã‹ä½¿ã£ã¦ãªã„ï¼ ãã®ãã›ãƒãƒ¼ãƒ‰ã‚¢ãƒ™ãƒ¬ãƒ¼ã‚¸ãŒç„¡é§„ã«é«˜ã„ • Linuxã®åŸºæœ¬çš„ãªæƒ…å ±ã‚’å–å¾— 11. Thread Dumpã‚’å–å¾—ã™ã‚‹ "Attach Listener" dae
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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