<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>弹性伸缩 on 黄文卓 | DevOps Engineer</title>
    <link>https://socake.github.io/tags/%E5%BC%B9%E6%80%A7%E4%BC%B8%E7%BC%A9/</link>
    <description>Recent content in 弹性伸缩 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/%E5%BC%B9%E6%80%A7%E4%BC%B8%E7%BC%A9/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>Karpenter 弹性节点管理实战</title>
      <link>https://socake.github.io/docs/kubernetes/karpenter-%E5%BC%B9%E6%80%A7%E8%8A%82%E7%82%B9/</link>
      <pubDate>Mon, 08 Dec 2025 13:00:00 +0800</pubDate>
      <author>17691281867@163.com (Wenzhuo Huang)</author>
      <guid>https://socake.github.io/docs/kubernetes/karpenter-%E5%BC%B9%E6%80%A7%E8%8A%82%E7%82%B9/</guid>
      <description>Karpenter 替代 Cluster Autoscaler 的完整实践：NodePool 约束配置、EC2NodeClass 实例选型、consolidation 节点整合降本、Spot 实例容错，以及多套集群配置的组织方式。</description>
      
    </item>
    
    <item>
      <title>Karpenter 深度解析：下一代 K8s 节点自动扩缩</title>
      <link>https://socake.github.io/posts/karpenter-deep-dive/</link>
      <pubDate>Wed, 11 Jun 2025 11:33:00 +0800</pubDate>
      <author>17691281867@163.com (Wenzhuo Huang)</author>
      <guid>https://socake.github.io/posts/karpenter-deep-dive/</guid>
      <description>从 Cluster Autoscaler 迁移到 Karpenter 之后，集群扩容速度和节点利用率都有明显提升。本文详细拆解 Karpenter 的核心机制、关键配置项，以及在多套生产集群运行中踩过的坑。</description>
      <media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/karpenter-deep-dive/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>
