Anatomy of a Large Django site
This document summarizes Andy McKay's presentation on the anatomy of Mozilla's large Django site. It discusses performance optimizations including caching, reducing SQL queries, async tasks with Celery, and localization. It also covers code reuse through libraries like Bleach and JavaScript testing. Testing, linting, and continuous integration with Hudson were also mentioned.Read less
task.delayã‹ã‚‰ã¸ã‚“ã˜ãŒãªã„。ãŸã ã®ã—ã‹ã°ãã®ã‚ˆã†ã (Celery+RabbitMQ) - Study08.net 対シンãƒã‚·æ®²æ»…用人型機動兵器
ã¨ã‚る開発環境ã§Celery + RabbitMQã‚’å‹•ã‹ã—ã¦ãŸã‚‰ã€ã„ã¤ã®ã¾ã«ã‹task.delay()ãŒæ¯ã‚’ã—ã¦ãªã„ã¨ã„ã†ã‹ãƒãƒ³ã‚°ã‚¢ãƒƒãƒ—ã—ã¦ã‚‹æ„Ÿã˜ã«ãªã£ãŸæ™‚ã®èª¿æŸ»ã¨å¯¾å‡¦ã®ãƒ¡ãƒ¢ 環境 Debian squeeze RabbitMQ 3.1.3 (apt-getã§install) ç¾è±¡ Djangoアプリã‹ã‚‰Celelyã®task.delayã§ã‚¸ãƒ§ãƒ–を実行ã—ã¦ã‚‹ã‘ã©å‡¦ç†ã•ã‚ŒãŸæ°—é…ãŒãªã„ 特ã«ã‚¢ãƒ—リã€Celeryã€RabbitMQã§ç›®ç«‹ã£ãŸã‚¨ãƒ©ãƒ¼ã¯å‡ºã¦ã„ãªã„ Celery起動時ã«RabbitMQã®æŽ¥ç¶šã¯å‡ºæ¥ã¦ã‚‹ã¨ã„ã†ãƒã‚°ã¯å‡ºã¦ã‚‹ [2013-07-25 16:08:55,270: WARNING/MainProcess] celery@hogehoge ready. [2013-07-25 16:08:55,284: INFO/MainProcess] consumer: Connected t
First Steps with Celery — Celery 5.4.0 documentation
This document describes the current stable version of Celery (5.4). For development docs, go here. First Steps with Celery¶ Celery is a task queue with batteries included. It’s easy to use so that you can get started without learning the full complexities of the problem it solves. It’s designed around best practices so that your product can scale and integrate with other languages, and it comes wi
Celery (Django) Rate limiting
I'm using Celery to process multiple data-mining tasks. One of these tasks connects to a remote service which allows a maximum of 10 simultaneous connections per user (or in other words, it CAN exceed 10 connections globally but it CANNOT exceed 10 connections per individual job). I THINK Token Bucket (rate limiting) is what I'm looking for, but I can't seem to find any implementation of it.
hexacosa.net::supervisordã¨celerydã®è¨å®š
Supervisor(d) 㯠daemontools ライクãªãƒ—ãƒã‚»ã‚¹æ»æ´»ç›£è¦–用ã®ã‚¹ãƒ¼ãƒ‘ーサーãƒã§ã™ã€‚ XML-RPCを使ã£ã¦ãƒ—ãƒã‚»ã‚¹æƒ…å ±ã®å–得やプãƒã‚»ã‚¹ã®æ“作もãŠã“ãªãˆã¾ã™ã€‚ 今回ã¯ã‚¸ãƒ§ãƒ–ã‚ューサーãƒã§ã‚ã‚‹ã¨ã“ã‚ã® Celery(d) ã‚’supervisord上ã§ç®¡ç†ã™ã‚‹ã¾ã§ã‚’ 紹介ã—ã¾ã™ã€‚ supervisordã®è¨å®š インストール㯠easy_install 経由ã§ãŠã“ãªã„ã¾ã™ã€‚ ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¯3.0a8ã§ã™ã€‚ è¨å®šãƒ•ã‚¡ã‚¤ãƒ«ä½œæˆã¾ã§ã€‚ $ easy_install -U supervisor $ echo_supervisord_conf > /etc/supervisord.conf $ mkdir /etc/supervisord ;; è¨å®šç”¨ å¿…è¦ã«å¿œã˜ã¦ $ mkdir /var/log/supervisord ;; ãƒã‚°ç”¨ å¿…è¦ã«å¿œã˜ã¦ $ vim /etc/supervi
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GitHub - celery/django-celery-beat: Celery Periodic Tasks backed by the Django ORM
GitHub - celery/django-celery-results: Celery result back end with django
Celeryã§ã‚¸ãƒ§ãƒ–ã‚ュー
Bitbucket | Git solution for teams using Jira
Django — Celery 3.0.11 documentation
HTTP Callback Tasks (Webhooks) — Celery 3.0.11 documentation
Brokers — Celery 5.0.0 documentation
GitHub - auvipy/celery-flower: Under heavy development now: Real time Celery monitoring with ASGI 3.0 +
https://www.freia.jp/taka/blog/celery-3.0-release-note/index.html
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