<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Celery on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/celery/</link><description>Recent content in Celery on 黄文卓 | DevOps Engineer</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>17691281867@163.com (Wenzhuo Huang)</managingEditor><webMaster>17691281867@163.com (Wenzhuo Huang)</webMaster><copyright>© 2026 Wenzhuo Huang</copyright><lastBuildDate>Sat, 01 Nov 2025 11:26:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/celery/index.xml" rel="self" type="application/rss+xml"/><item><title>Python 定时任务工程化：APScheduler 与 Celery Beat 实战对比</title><link>https://socake.github.io/posts/python-scheduled-tasks/</link><pubDate>Sat, 01 Nov 2025 11:26:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/python-scheduled-tasks/</guid><description>APScheduler 和 Celery Beat 是 Python 定时任务的两大主流方案。本文从使用场景出发，对比两者的架构差异、适用边界，并介绍 K8s CronJob 作为第三条路的价值，帮你在项目里选对工具。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/python-scheduled-tasks/featured.jpg"/></item><item><title>Celery 异步任务详解：任务队列、重试策略与分布式部署</title><link>https://socake.github.io/posts/celery-async-tasks/</link><pubDate>Tue, 22 Apr 2025 09:44:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/celery-async-tasks/</guid><description>从 Celery 架构到 K8s 部署，覆盖任务定义、重试策略、队列路由、Beat 定时任务和 Flower 监控，附完整的生产部署配置。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/celery-async-tasks/featured.jpg"/></item></channel></rss>