<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Grafana on YennJ12 Engineering Blog</title><link>https://yennj12.js.org/yennj12_blog_V4/tags/grafana/</link><description>Recent content in Grafana on YennJ12 Engineering Blog</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Sat, 17 Jan 2026 11:00:00 +0800</lastBuildDate><atom:link href="https://yennj12.js.org/yennj12_blog_V4/tags/grafana/feed.xml" rel="self" type="application/rss+xml"/><item><title>Kubernetes 完整指南（三）：進階功能與生產環境實踐</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/kubernetes-complete-guide-part3-advanced-zh/</link><pubDate>Sat, 11 Oct 2025 13:00:00 +0800</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/kubernetes-complete-guide-part3-advanced-zh/</guid><description>🎯 前言 經過前兩篇的學習，我們已經掌握了 Kubernetes 的基礎概念與核心資源操作。本文將深入探討進階功能與生產環境實踐，幫助你構建企業級的容器平台。
本文重點：
自動擴展（HPA/VPA/CA） RBAC 權限管理 Network Policy 網路策略 Helm 套件管理 監控與告警系統 日誌收集方案 CI/CD 整合 生產環境最佳實踐 ⚡ 自動擴展機制 擴展類型對照 graph TB A[Kubernetes 自動擴展] --&amp;gt; B[HPA&amp;lt;br/&amp;gt;水平 Pod 擴展] A --&amp;gt; C[VPA&amp;lt;br/&amp;gt;垂直 Pod 擴展] A --&amp;gt; D[CA&amp;lt;br/&amp;gt;叢集自動擴展] B --&amp;gt; B1[根據 CPU/記憶體&amp;lt;br/&amp;gt;自動調整 Pod 數量] C --&amp;gt; C1[根據資源使用&amp;lt;br/&amp;gt;調整 Pod 資源限制] D --&amp;gt; D1[根據負載&amp;lt;br/&amp;gt;自動增減節點] style A fill:#326ce5 style B fill:#4ecdc4 style C fill:#feca57 style D fill:#ff6b6b HPA (Horizontal Pod Autoscaler) 基於 CPU 的 HPA：</description></item><item><title>Kubernetes Autoscaling Complete Guide (Part 4): Monitoring, Alerting &amp; Threshold Tuning</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/kubernetes-autoscaling-complete-guide-part4-monitoring-alerting/</link><pubDate>Sun, 09 Nov 2025 18:00:00 +0800</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/kubernetes-autoscaling-complete-guide-part4-monitoring-alerting/</guid><description>Part 4 of the Kubernetes Autoscaling series: Complete guide to monitoring EKS autoscaling with Prometheus and Grafana. Includes CDK setup, alerting rules, custom dashboards, and threshold tuning strategies for production-grade observability.</description></item><item><title>Building Centralized Grafana + Prometheus Monitoring with AWS CDK: Multi-Service Observability Platform</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/centralized-grafana-prometheus-monitoring-aws-cdk/</link><pubDate>Sat, 17 Jan 2026 11:00:00 +0800</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/centralized-grafana-prometheus-monitoring-aws-cdk/</guid><description>Comprehensive guide to architecting a production-ready centralized Prometheus + Grafana monitoring platform using AWS CDK that aggregates metrics from multiple services, clusters, and infrastructure components with federation, remote storage, and advanced alerting.</description></item><item><title>Building a Centralized Monitoring System with AWS CloudWatch and Grafana using CDK</title><link>https://yennj12.js.org/yennj12_blog_V4/posts/centralized-monitoring-system-aws-cloudwatch-grafana-cdk/</link><pubDate>Sun, 30 Nov 2025 14:00:00 +0000</pubDate><guid>https://yennj12.js.org/yennj12_blog_V4/posts/centralized-monitoring-system-aws-cloudwatch-grafana-cdk/</guid><description>🎯 Introduction In distributed systems running on AWS, observability is critical for maintaining reliability, debugging issues, and ensuring optimal performance. A centralized monitoring system provides:
Unified Visibility: Single pane of glass for all services, applications, and infrastructure Proactive Alerting: Detect and respond to issues before they impact users Performance Optimization: Identify bottlenecks and optimization opportunities Cost Management: Track resource utilization and spending patterns Compliance: Meet audit and regulatory requirements for logging Troubleshooting: Quickly diagnose and resolve production issues This comprehensive guide demonstrates how to build a production-ready centralized monitoring system using AWS CloudWatch and Grafana, deployed with CDK (TypeScript).</description></item></channel></rss>