<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>ELK Stack on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/categories/elk-stack/</link><description>Recent content in ELK Stack 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, 13 Dec 2025 09:08:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/categories/elk-stack/index.xml" rel="self" type="application/rss+xml"/><item><title>Kibana 实战：从日志查询到 Dashboard 可视化的完整指南</title><link>https://socake.github.io/posts/kibana-visualization-guide/</link><pubDate>Sat, 13 Dec 2025 09:08:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/kibana-visualization-guide/</guid><description>Kibana 是我们 ELK 体系里使用频率最高的工具。这篇文章把我在实际运维中积累的 Kibana 使用技巧整理成体系，从 Discover 查询到 Dashboard 制作，再到 ILM 管理。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/kibana-visualization-guide/featured.jpg"/></item><item><title>Vector 日志处理管道：高性能日志采集与转换实践</title><link>https://socake.github.io/posts/vector-log-pipeline/</link><pubDate>Tue, 14 Oct 2025 11:01:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/vector-log-pipeline/</guid><description>从架构对比到 K8s DaemonSet 落地，结合 VRL 实战示例和踩坑经验，讲透 Vector 在日志采集管道中的应用。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/vector-log-pipeline/featured.jpg"/></item><item><title>Filebeat + Logstash 日志采集管道：大规模日志处理实战</title><link>https://socake.github.io/posts/filebeat-logstash-pipeline/</link><pubDate>Fri, 10 Oct 2025 10:20:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/filebeat-logstash-pipeline/</guid><description>大流量日志场景下，Fleet 直写 ES 会出现严重写入堆积。本文记录了我们从 Fleet 切换到 Filebeat + Kafka + Logstash 管道的全过程，重点讲 Logstash pipeline 配置和性能调优。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/filebeat-logstash-pipeline/featured.jpg"/></item><item><title>ELK 集群监控：用 Prometheus + Grafana 监控 Elasticsearch 健康</title><link>https://socake.github.io/posts/elk-prometheus-monitoring/</link><pubDate>Wed, 08 Oct 2025 11:33:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/elk-prometheus-monitoring/</guid><description>Kibana 内置的 Stack Monitoring 免费功能有限，告警媒介也受商业授权约束。我们最终选择 Prometheus + Grafana 方案监控 ELK 集群，这篇文章记录完整的落地过程和踩坑。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/elk-prometheus-monitoring/featured.jpg"/></item><item><title>Elasticsearch 备份与恢复：快照管理与跨集群迁移实践</title><link>https://socake.github.io/posts/elasticsearch-backup-restore/</link><pubDate>Fri, 03 Oct 2025 12:06:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/elasticsearch-backup-restore/</guid><description>Snapshot API 配置、S3 IRSA 认证、定时快照脚本，以及跨集群迁移三种方案的对比与实战踩坑。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/elasticsearch-backup-restore/featured.jpg"/></item><item><title>Elasticsearch 查询实战：从 URI Search 到 DSL 复杂聚合</title><link>https://socake.github.io/posts/elasticsearch-dsl-query/</link><pubDate>Wed, 01 Oct 2025 09:17:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/elasticsearch-dsl-query/</guid><description>ES 查询是每个运维必须掌握的技能。这篇文章从 URI Search 快速上手，到 DSL bool 查询、聚合分析，再到运维常用的 _cat API，配合真实排障场景整理成一篇实战手册。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/elasticsearch-dsl-query/featured.jpg"/></item><item><title>Elasticsearch 索引策略：ILM 生命周期管理与写入性能优化</title><link>https://socake.github.io/posts/elasticsearch-index-optimization/</link><pubDate>Wed, 24 Sep 2025 11:01:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/elasticsearch-index-optimization/</guid><description>ILM 四阶段配置、rollover 策略、bulk 写入调优，以及分片数规划和 mapping 爆炸的避坑指南。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/elasticsearch-index-optimization/featured.jpg"/></item><item><title>Elasticsearch 集群部署实战：ECK 在 K8s 上的生产级配置</title><link>https://socake.github.io/posts/elasticsearch-cluster-deployment/</link><pubDate>Fri, 19 Sep 2025 13:03:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/elasticsearch-cluster-deployment/</guid><description>从集群角色规划到 ECK Operator 落地，结合生产环境踩坑经验，完整讲解 Elasticsearch 在 Kubernetes 上的生产级部署方案。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/elasticsearch-cluster-deployment/featured.jpg"/></item><item><title>Elastic Agent + Fleet：下一代统一日志采集管理实践</title><link>https://socake.github.io/posts/elastic-agent-fleet/</link><pubDate>Thu, 06 Mar 2025 11:44:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/elastic-agent-fleet/</guid><description>Filebeat + Metricbeat + Auditbeat 三个 Agent 各管一摊，配置分散难以维护。Elastic Agent 将它们统一为一个 All-in-One Agent，配合 Fleet 实现中央化管理。本文记录从部署到踩坑的完整实践过程。</description><media:content 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