<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>HPA on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/hpa/</link><description>Recent content in HPA 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, 09 Dec 2025 10:00:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/hpa/index.xml" rel="self" type="application/rss+xml"/><item><title>Kubernetes HPA/VPA 弹性伸缩配置</title><link>https://socake.github.io/docs/kubernetes/k8s-hpa%E5%BC%B9%E6%80%A7%E4%BC%B8%E7%BC%A9/</link><pubDate>Tue, 09 Dec 2025 10:00:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/docs/kubernetes/k8s-hpa%E5%BC%B9%E6%80%A7%E4%BC%B8%E7%BC%A9/</guid><description>从 HPA v2 到 KEDA 事件驱动伸缩，覆盖 CPU/内存/自定义指标配置、防抖参数调优、VPA 推荐器集成和生产级弹性伸缩最佳实践。</description></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><item><title>Kubernetes 资源管理实战——QoS、ResourceQuota、VPA 体系化实践</title><link>https://socake.github.io/posts/kubernetes-resource-management/</link><pubDate>Thu, 16 Jan 2025 13:36:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/kubernetes-resource-management/</guid><description>我在生产中见过太多因为资源配置不当导致的事故：不设 limits 的服务把节点内存吃光导致 OOM 驱逐、requests 设得过高导致 Pod 调度不上去、HPA 配置错误导致扩缩失灵。这篇文章把 K8s 资源管理体系从头到尾捋一遍，让你建立完整的资源治理思路。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/kubernetes-resource-management/featured.jpg"/></item></channel></rss>