Cloud & Infrastructure
Where the code actually runs.
AWS, Kubernetes, containers, CI/CD, observability and platform reliability.
Part 3 — 用 AI Bot 打造顧問團隊(三):評估、維運與優化計畫
AI 顧問 Agent 團隊上線後怎麼辦?本文從 DevOps/SRE 角度,涵蓋系統效能評估、品質驗證、監控告警、部署策略、以及持續改善的 Roadmap。
Harness 工程入門指南:AI 時代的基礎設施自動化
深入探討 Harness 在 AI 時代的角色,從基本概念、核心功能到實戰應用,幫助工程團隊建立高效的自動化部署流程,加速 AI 應用的上線速度。
Fine-Tuning LLMs with AWS Bedrock: A Complete Guide to Post-Training Customization
Comprehensive guide to fine-tuning and customizing Large Language Models (LLMs) with AWS Bedrock - covering supervised fine-tuning, continued pre-training, and reinforcement fine-tuning with practical examples and AWS CDK infrastructure setup.
Building a Centralized Monitoring System with AWS CloudWatch and Grafana using CDK
Design and implement a production-ready centralized monitoring and observability platform using AWS CloudWatch, Grafana, and CDK (TypeScript). Learn cross-service log aggregation, metric collection, IAM permissions, dashboard creation, and alerting strategies for monitoring distributed systems.
Building a Centralized User Access Control System with AWS Cognito and CDK
Design and implement a production-ready centralized authentication and authorization system using AWS Cognito and CDK (TypeScript). Learn multi-tenant strategies, user pool management, RBAC/ABAC patterns, and how to integrate with multiple services and applications.
Deploying Hugging Face Models to AWS: A Complete Guide with CDK, SageMaker, and Lambda
Learn how to deploy production-ready Hugging Face AI models to AWS using CDK (TypeScript), SageMaker, and Lambda. Comprehensive guide covering system design, infrastructure setup, model deployment, API creation, and best practices for scalable ML applications.
Part 8 — Kubernetes Autoscaling Complete Guide (Part 8): Security, Compliance & Governance
Part 8 of the Kubernetes Autoscaling series: Complete guide to securing autoscaling infrastructure with RBAC, policy enforcement, compliance frameworks (PCI-DSS, HIPAA, SOC2), multi-tenancy patterns, audit logging, and governance best practices for enterprise Kubernetes.
Part 7 — Kubernetes Autoscaling Complete Guide (Part 7): Production Troubleshooting & War Stories
Part 7 of the Kubernetes Autoscaling series: Real-world production incidents, debugging workflows, common failure scenarios, and hard-learned lessons from operating autoscaling at scale. Battle-tested troubleshooting guides and postmortem analysis.
Part 6 — Kubernetes Autoscaling Complete Guide (Part 6): Advanced Autoscaling Patterns
Part 6 of the Kubernetes Autoscaling series: Advanced autoscaling patterns for stateful applications, multi-cluster deployments, cost optimization strategies, batch job scaling, and emerging technologies. Real-world architectures and production-grade implementations.
Part 5 — Kubernetes Autoscaling Complete Guide (Part 5): Vertical Pod Autoscaler & Resource Optimization
Part 5 of the Kubernetes Autoscaling series: Deep dive into Vertical Pod Autoscaler (VPA), resource right-sizing strategies, combining VPA with HPA, and production-grade resource optimization techniques for cost-effective Kubernetes operations.
Part 4 — Kubernetes Autoscaling Complete Guide (Part 4): Monitoring, Alerting & Threshold Tuning
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.
Part 3 — Kubernetes Autoscaling Complete Guide (Part 3): Hands-On HPA Demo with Apache-PHP
Part 3 of the Kubernetes Autoscaling series: Hands-on tutorial demonstrating Horizontal Pod Autoscaler with a real Apache-PHP application. Includes complete AWS CDK infrastructure code, Kubernetes manifests, load testing, and step-by-step deployment guide.
Part 2 — Kubernetes Autoscaling Complete Guide (Part 2): Cluster Autoscaling & Cloud Providers
Part 2 of the Kubernetes Autoscaling series: Comprehensive guide to cluster-level autoscaling covering Cluster Autoscaler, Karpenter, cloud provider-specific solutions (EKS, GKE, AKS), and emerging technologies for intelligent node provisioning and cost optimization.
Part 1 — Kubernetes Autoscaling Complete Guide (Part 1): Horizontal Pod Autoscaler
Part 1 of the Kubernetes Autoscaling series: Deep dive into Horizontal Pod Autoscaler (HPA) approaches, comparing resource-based, custom metrics, external metrics, and event-driven autoscaling with KEDA. Learn when to use each approach with real-world examples and production best practices.
Spring Boot 多環境配置完整指南:開發、測試、生產環境管理
深入探討 Spring Boot 多環境配置管理,包括資料庫切換、Redis 配置、以及 Docker 容器化部署的完整實作指南。
Part 3 — Kubernetes 完整指南(三):進階功能與生產環境實踐
深入探討 Kubernetes 進階主題,包含自動擴展、RBAC 權限管理、Network Policy、Helm 套件管理、監控告警、日誌收集、CI/CD 整合與生產環境最佳實踐,打造企業級 K8S 平台。
Part 2 — Kubernetes 完整指南(二):核心資源與 kubectl 實戰操作
深入探討 Kubernetes 核心資源對象,包含 Pod、Deployment、Service、Ingress、Volume 等完整操作指南,搭配大量 kubectl 指令範例與 YAML 配置,從基礎到實戰全面掌握。
Part 1 — Kubernetes 完整指南(一):基礎概念與架構詳解
深入淺出介紹 Kubernetes 容器編排平台,涵蓋核心概念、架構設計、元件功能、與 Docker 的關係,以及完整的安裝配置教學。從零開始掌握 K8S 基礎知識。
Part 3 — Docker 完整指南(三):進階應用與生產實踐
深入探討 Docker 進階主題,包含 Dockerfile 最佳實踐、多階段建立、Docker Compose 編排、網路進階配置、安全性強化、效能優化與生產環境部署策略。
Part 2 — Docker 完整指南(二):指令大全與實務操作
完整的 Docker 指令參考手冊,涵蓋容器管理、映像操作、網路配置、資料卷管理等實務操作,配合大量範例與表格說明,從基礎到進階全面掌握 Docker CLI。
Part 1 — Docker 完整指南(一):基礎概念與入門教學
全面介紹 Docker 容器技術的基礎概念,包含虛擬化原理、Docker 架構、核心元件,以及實用的安裝與配置教學。從零開始學習 Docker 容器化技術。
Docker Mount Complete Guide: Volumes, Bind Mounts, and tmpfs Comparison
Comprehensive guide to Docker mount types including volumes, bind mounts, and tmpfs. Learn the differences, use cases, pros/cons, and best practices for persisting data in Docker containers with practical examples.
AWS DynamoDB Complete Guide: Architecture, Indexing & Performance Optimization
Comprehensive guide to AWS DynamoDB covering data structures, architecture, indexing strategies, secondary indexes, sort keys, and performance optimization techniques for high-speed I/O operations.
AWS VPC Complete Guide: Enterprise Networking Patterns & VPC Peering
Comprehensive guide to AWS VPC types, enterprise network design patterns, VPC peering, and Java implementations for production-ready cloud networking.
AWS Load Balancers: Complete Guide - Application, Network, Gateway, and Classic Load Balancers Comparison with Implementation
Master AWS Load Balancers with comprehensive comparisons of ALB, NLB, GWLB, and CLB. Learn when to use each type, advanced features, health checks, auto-scaling integration, and production-ready configurations with real-world examples.