Using Akka Cluster for a payment service
ScalaMatsuri 2019 Akka Cluster を採用ã—ãŸæ±ºæ¸ˆã‚µãƒ¼ãƒ“スをリリースã—ã¾ã—ãŸã€‚ã“ã®ã‚»ãƒƒã‚·ãƒ§ãƒ³ã§ã¯ã€Akka Cluster を使ã£ãŸé–‹ç™ºã§è‹¦åŠ´ã—ãŸç‚¹ã‚„ã€å¾“æ¥ã® RDB を用ã„㟠CRUD ベースã®ã‚·ã‚¹ãƒ†ãƒ ã‹ã‚‰ã€ã©ã®ã‚ˆã†ã«ã—ã¦ã‚¢ã‚¯ã‚¿ãƒ¼ãƒ¢ãƒ‡ãƒ«ã‚„イベントソーシング・CQRS ã¨â€¦
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Reactive Messaging Patternsèªæ›¸ä¼šã®ãªã‹ã§ã€ã€Œãƒžã‚¤ã‚¯ãƒã‚µãƒ¼ãƒ“スã¨Akkaã¨Goã€ãªé¢ç™½ã„話題ãŒå‡ºãŸã®ã§ä»£è¡¨ã§ã¾ã¨ã‚る試ã¿ã‚¨ãƒ³ãƒˆãƒªã§ã™ã€‚（çµæ§‹ã€è‰²ã€…ãªè©±é¡Œã«é£›ã‚“ã§ã„ã‚‹ã®ã§é›£åº¦é«˜ã„。） ã¾ã¨ã‚æ–¹ã¨ã—ã¦ã¯ã€ä¼šè©±ãƒã‚°ã‚’転記ã—ã¦ã€æœ€å¾Œã«ã¾ã¨ã‚る形をã¨ã£ã¦ã„ã¾ã™ã€‚ã¾ãŸã€è°è«–ã¨ç§ã®è€ƒãˆãŒæ··ã–らãªã„よã†ã«æ‰€æ„Ÿã¯åˆ†ã‘ã¦ãŠãã¾ã™ã€‚ ddd-cqrs-es.connpass.com TL;DR è¦ç´ 技術（ã©ã‚“ãªè¨€èªžä½¿ã†ã¨ã‹ã€ã©ã‚“ãªã‚¢ãƒ¼ã‚テクãƒãƒ£ã«ã™ã‚‹ã¨ã‹ï¼‰ã®å‰ã«ã€çµ„織やプãƒãƒ€ã‚¯ãƒˆã®æ€§æ ¼ã‚’考ãˆã¦æˆ¦ç•¥ã‚’決ã‚ã¾ã—ょã†ã€‚ ãã—ã¦ã€ãã®ä¸ã§æœ€é©ã¨æ€ã‚れる戦術をã¨ã‚Œã‚‹ã‚ˆã†ãªè¦ç´ 技術を採用ã—ã¾ã—ょã†ã€‚ Akka良ã„よ。 ãƒã‚°ï¼ˆä¸€éƒ¨æŠœç²‹ï¼‰ Slackã‹ã‚‰ã®å¼•ç”¨ã®ãŸã‚テã‚ストベースã§ã™ã€‚ 事ã®å§‹ã¾ã‚Šã¯ã€è’木ã•ã‚“（以下〠@applideveloper ）ã®ç™ºè¨€ã§ã—ãŸã€‚ （ã“ã®è¨˜äº‹çµ¡ã¿ã§ã™ã。 集åˆçŸ¥ã§å„
Rerun Me - Dynamic programming Java for online casinos
Akka Notes – Actor Supervision Failures are more like a feature among distributed systems. And with Akka’s let it crash fault-tolerance model, you could achieve a clear separation between your business logic and your failure handling logic (supervision logic). All with very little effort. It’s pretty amazing. This is the topic of our discussion now. ACTOR SUPERVISION Imagine a method call stack an
Basics of Akka
Akka is a toolkit for building concurrent, distributed, and fault-tolerant applications. It provides tools like actors for concurrency, remoting for distribution across servers, and supervision for fault tolerance through restarting of actors after exceptions. The document then provides examples of using actors for concurrency through message passing, distributing actors across multiple servers us
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How are Akka actors different from Go channels? How are two related to each other?
リアクティブDDD
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