<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>消息队列 on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/%E6%B6%88%E6%81%AF%E9%98%9F%E5%88%97/</link><description>Recent content in 消息队列 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>Tue, 22 Apr 2025 14:30:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/%E6%B6%88%E6%81%AF%E9%98%9F%E5%88%97/index.xml" rel="self" type="application/rss+xml"/><item><title>RabbitMQ 运维实战：集群部署、消费者可靠性与监控体系</title><link>https://socake.github.io/posts/rabbitmq-ops-practice/</link><pubDate>Tue, 22 Apr 2025 14:30:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/rabbitmq-ops-practice/</guid><description>系统梳理 RabbitMQ 运维核心技能：Quorum Queue 集群部署与镜像队列对比、生产配置调优、消费者 prefetch 与死信队列配置、基于 Management API 和 rabbitmq_exporter 的监控体系，以及消息堆积、脑裂等常见故障的处理方案。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/rabbitmq-ops-practice/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><item><title>Kafka 运维实战：消息堆积排查、分区再平衡与监控体系</title><link>https://socake.github.io/posts/kafka-ops-practice/</link><pubDate>Mon, 07 Apr 2025 11:37:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/kafka-ops-practice/</guid><description>系统梳理 Kafka 运维核心技能：消费者延迟监控告警、消息堆积根因分析、分区扩容规划、Rebalance 风暴处理，以及 KEDA 基于 lag 自动扩缩的配置实践。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/kafka-ops-practice/featured.jpg"/></item><item><title>KEDA 事件驱动弹性伸缩实战：从 HPA 的尽头到真正按业务信号扩缩</title><link>https://socake.github.io/posts/keda-event-driven-autoscaling/</link><pubDate>Sat, 08 Feb 2025 10:12:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/keda-event-driven-autoscaling/</guid><description>HPA 只能看 CPU/内存，但生产环境真正的扩缩信号往往是 Kafka lag、RabbitMQ 队列深度、Prometheus 自定义指标、甚至 cron。本文把 KEDA 的架构、核心 CRD、常见 scaler 的坑和运维动作写成一份资深工程师的备忘录，不讲理论，只讲什么样的配置能在凌晨 3 点把你从告警里救出来。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/keda-event-driven-autoscaling/featured.jpg"/></item></channel></rss>