GitHub - fireworq/fireworq: Fireworq is a lightweight, high-performance, language-independent job queue system.
Fireworq is a lightweight, high-performance job queue system with the following abilities. Portability - It is available from ANY programming language which can talk HTTP. It works with a single binary without external dependencies. Reliability - It is built on top of RDBMS (MySQL), so that jobs won't be lost even if the job queue process dies. You can apply an ordinary replication scheme to the u
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A quick message queue benchmark: ActiveMQ, RabbitMQ, HornetQ, QPID, Apollo... - Muriel's Tech Blog
Lately I performed a message queue benchmark, comparing several queuing frameworks (RabbitMQ, ActiveMQ…). Those benchmarks are part of a complete study conducted by Adina Mihailescu, and everything was presented at the April 2013 riviera.rb meet-up. You should definitely peek into Adina’s great presentation available online right here. Setup and scenarios So I wanted to benchmark brokers, using d
Rails ã§ã€Controller ã«å®šç¾©ã•ã‚Œã¦ã„ã‚‹ action を一度ã«å–å¾—ã™ã‚‹æ–¹æ³•ã¯ã‚ã‚Šã¾ã™ã‹ï¼Ÿ - QA@IT
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Obsolete:QueueService - OpenStack
#!wiki caution '''This page is outdated''' The content of this page has not been updated for a very long time. The Burrow project has not been updated for the current release. Queue Service This document is a proposal and plan for a queue service, it is not an official OpenStack project yet. Once there is an implementation to evaluate, it will be submitted to the OpenStack Project Policy Board for
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Product: Resque - GitHub's Distrubuted Job Queue - High Scalability -
Queuing work for processing in the background is a time tested scalability strategy. Queuing also happens to be one of those much needed tools where it easy enough to forge for your own that we see a lot of different versions made. Resque is GitHub's take on a job queue and they've used it to process million and millions of jobs so far. What is Resque? Redis-backed library for creating background
Introducing Resque
AI & MLLearn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AILearn how to build with generative AI. GitHub CopilotChange how you work with GitHub Copilot. LLMsEverything developers need to know about LLMs. Machine learningMachine learning tips, tricks, and best practices. How AI code generation worksExplore the capabilities and be
memcachedプãƒãƒˆã‚³ãƒ«ã‚’使ã£ãŸBlockingQueue - Blog by Sadayuki Furuhashi
マルãƒã‚¹ãƒ¬ãƒƒãƒ‰ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°ã§ã‚ˆã使ã†BlockingQueueã‚’memcachedプãƒãƒˆã‚³ãƒ«ã‚’使ã£ã¦ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯è¶Šã—ã«ä½¿ã†ã“ã¨ãŒã§ãるサーãƒãƒ¼ã‚’実装ã—ã¦ã¿ã¾ã—ãŸã€‚ タスクをガンガンpushã—ã¦ã„ã一方ã§ã€ãƒ¯ãƒ¼ã‚«ãƒ¼ã‚¹ãƒ¬ãƒƒãƒ‰ãªã‚‰ã¬ãƒ¯ãƒ¼ã‚«ãƒ¼ã‚µãƒ¼ãƒãƒ¼ãŒ1ã¤ãšã¤popã—ã¦å‡¦ç†ã—ã¦ã„ãよã†ãªåˆ†æ•£å‡¦ç†ã«ä½¿ãˆã‚‹ã‹ã‚‚知れã¾ã›ã‚“。スレッドプールã®ãƒãƒƒãƒˆãƒ¯ãƒ¼ã‚¯åˆ†æ•£ç‰ˆã€‚ ソースコードã¯CodeReposã«ã‚ã‚Šã¾ã™ï¼šlang/ruby/lkserver $ svn co http://svn.coderepos.org/share/lang/ruby/lkserver $ cd lkserver # memcachedテã‚ストプãƒãƒˆã‚³ãƒ«ã®ãƒ‘ーサーをコンパイル $ ruby extconf.rb $ make # Rev（イベント駆動IOライブラリ）をインストール $ gem install rev # 11511
å¾…ã¡è¡Œåˆ—ã«å…¥é–€ã—㟠- steps to phantasien(2008-08-12)
先週, 会社をã•ã¼ã£ã¦ システム性能評価ã¨å¾…ã¡è¡Œåˆ—ç†è«– ã¨ã„ã†è¬›ç¾©ã‚’å—ã‘ã¦ããŸ. å¾…ã¡è¡Œåˆ—ç†è«–ã®å…¥é–€è¬›ç¾©ã§, 大å¦ã®å¦éƒ¨ã§ã‚„るレベルã®è©±ã‚‰ã—ã„. ç§ã¯å¦éƒ¨ã§ã‚‚å¦éƒ¨ä»¥å¤–ã§ã‚‚勉強ã—ãŸã“ã¨ãŒãªã„話題ã ã£ãŸã®ã§, ã¨ã¦ã‚‚興味深ãèžã„ãŸ. å—講後ã¯ã™ã£ã‹ã‚Šç››ã‚Šä¸Šã‚Š, å¾…ã¡è¡Œåˆ—ã§æ€§èƒ½è©•ä¾¡ã™ã‚‹ãœ! ã¨ã„ã†æ°—分ã«ãªã£ãŸã®ã ãŒ, 実際ã¯é›£ã—ã„. 性能評価一般ã®é›£ã—ã•ã¯ã•ã¦ãŠãã¨ã—ã¦, å¾…ã¡è¡Œåˆ—ç†è«–ãã®ã‚‚ã®ãŒã‘ã£ã“ã†è¤‡é›‘. æ•°å¦ãŒè‹¦æ‰‹ãªèº«ã«ã¯è¾›ã„. ç†è«–ã®å¸¸ã¨ã—ã¦, å¾…ã¡è¡Œåˆ—ã®ç†è«–ã‚‚ã¾ãšè§£æžå¯¾è±¡ã®ç‰¹æ€§ã«æ§˜ã€…ãªåˆ¶é™ã‚„å‰æã‚’è¨ã‘ãŸä¸Šã§ãƒ¢ãƒ‡ãƒ«ã‚’ãŸã¦ã‚‹. ãã®ãƒ¢ãƒ‡ãƒ«ãŒã†ã¾ã解æžã§ããŸã‚‰, å°‘ã—ãšã¤åˆ¶é™ã‚’ã¨ã‚Šã¯ãšã—ã¦ã„ã. ç¾å®Ÿã‚’扱ãˆã‚‹ãƒ¢ãƒ‡ãƒ«ã«è‡³ã‚‹é“程ã¯é™ºã—ãã†ã . 高価ãªãƒ„ールを使ãˆã°ãã‚“ãªæ´—ç·´ã•ã‚ŒãŸãƒ¢ãƒ‡ãƒ«ã‚‚扱ãˆã‚‹ã®ã‹ã‚‚ã—ã‚Œãªã„ã‘ã‚Œã©, ã‚‚ã†ã¡ã‚‡ã£ã¨åº¶æ°‘ã«å„ªã—ã„路線ã§ã‚ã£ã¦ã»ã—ã„. 解æžã«æŒ«ã‘る一方, ç†è«–ã®æˆæžœãŒæ˜Ž
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Resque client in Perl
GitHub - twitter-archive/kestrel: simple, distributed message queue system (inactive)
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