<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Cilium on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/cilium/</link><description>Recent content in Cilium 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>Thu, 30 Apr 2026 13:00:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/cilium/index.xml" rel="self" type="application/rss+xml"/><item><title>Playbook：K8s 集群三合一实战——QA / PRE / AI Sandbox 合并的完整可执行手册</title><link>https://socake.github.io/playbook/k8s-cluster-consolidation/</link><pubDate>Thu, 30 Apr 2026 13:00:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/playbook/k8s-cluster-consolidation/</guid><description>集群合并的好处显性，坏处隐性。本 Playbook 不再停留在『讲个思路』，每段 yaml 都是完整 manifest（含 Namespace / ServiceAccount / RBAC / Secret），每段脚本都能 chmod +x 直接跑，每个步骤含前置 / 执行 / 验证 / 回滚四件套，并附一次真实事故的完整修复 SQL。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/playbook/k8s-cluster-consolidation/featured.jpg"/></item><item><title>Service Mesh 技术选型：Istio vs Cilium vs Linkerd 深度对比</title><link>https://socake.github.io/posts/service-mesh-comparison/</link><pubDate>Sun, 12 Apr 2026 10:00:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/service-mesh-comparison/</guid><description>Istio、Cilium Service Mesh、Linkerd 三种方案各有侧重：Istio 功能最全但最重，Cilium 基于 eBPF 性能最优，Linkerd 最轻量最易运维。本文从架构、性能、功能、运维四个维度全面拆解，帮助架构师做出有数据支撑的选型决策。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/service-mesh-comparison/featured.jpg"/></item><item><title>Cilium NetworkPolicy 与 L7 过滤生产落地实战</title><link>https://socake.github.io/posts/cilium-network-policy-production/</link><pubDate>Fri, 31 Oct 2025 10:00:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/cilium-network-policy-production/</guid><description>一份基于 Cilium 1.16+ 的生产落地笔记：讲清楚 Kubernetes NetworkPolicy 的局限、CiliumNetworkPolicy 的扩展能力、L7 HTTP/Kafka/DNS 过滤的真实用法、Hubble 可观测性、策略开发方法论，以及多集群 ClusterMesh 场景下的策略治理。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/cilium-network-policy-production/featured.jpg"/></item><item><title>eBPF 可观测性实践：Cilium 网络监控与 Tetragon 安全审计</title><link>https://socake.github.io/posts/ebpf-observability/</link><pubDate>Wed, 17 Sep 2025 12:36:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/ebpf-observability/</guid><description>eBPF 正在重塑云原生可观测性的底层基础。本文记录在 K8s 集群中落地 Cilium + Hubble 网络监控和 Tetragon 安全审计的实践经验。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/ebpf-observability/featured.jpg"/></item><item><title>Cilium Hubble 实战：用 eBPF 看透 Kubernetes 网络</title><link>https://socake.github.io/posts/ebpf-network-observability-cilium-hubble/</link><pubDate>Wed, 30 Jul 2025 10:00:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/ebpf-network-observability-cilium-hubble/</guid><description>Cilium Hubble 是 Kubernetes 下最接近交换机镜像端口的东西。本文讲清楚它的架构、关键配置和生产上如何读 flow 定位网络问题。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/ebpf-network-observability-cilium-hubble/featured.jpg"/></item><item><title>Kubernetes 网络深度解析——CNI、kube-proxy、NetworkPolicy 完全指南</title><link>https://socake.github.io/posts/kubernetes-networking-deep-dive/</link><pubDate>Fri, 10 Jan 2025 13:50:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/kubernetes-networking-deep-dive/</guid><description>K8s 网络是很多工程师的知识盲区，平时不出问题就忽略，一出问题就完全不知道从哪下手。我在多次生产网络故障的排查中，深刻理解了 K8s 网络的每一层。这篇文章从 Pod 网络模型讲到 NetworkPolicy 实战，帮你建立完整的 K8s 网络知识体系。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/kubernetes-networking-deep-dive/featured.jpg"/></item></channel></rss>