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The complete archive.
Every post on the blog, newest first.
Claude Code 開發工作流程完整指南:從需求到部署的最佳實踐
詳細解析使用 Claude Code 的標準開發工作流程:涵蓋需求分析、架構設計、功能開發、測試部署等完整生命週期,並提供不同開發情境的具體實踐策略。
深入理解 Claude Code Context Window:管理對話上下文的完整指南
深度解析 Claude Code 的 Context Window 機制:從底層原理到實戰策略,學習如何有效管理對話上下文、優化 token 使用,並避免常見陷阱,讓 AI 輔助開發更高效。
Claude Code 最佳實踐指南:提升 AI 輔助開發效率的 20 個技巧
完整的 Claude Code 最佳實踐指南:從基礎使用到進階技巧,涵蓋提示工程、檔案管理、錯誤處理與團隊協作,幫助開發者充分發揮 AI 輔助開發的潛力。
Building Centralized Grafana + Prometheus Monitoring with AWS CDK: Multi-Service Observability Platform
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.
深入理解 Claude Code 架構:Plugin、Skill、Sub-agent 與 MCP 完整指南
完整解析 Claude Code 的核心架構元件:從底層的 MCP 協議到高層的 Sub-agent,了解 Plugin、Skill、Sub-agent 與 MCP 的運作原理、使用時機與層級關係。
Building AI Music Generation Platform: AWS CDK Architecture with SageMaker and Bedrock Comparison
Complete guide to architecting a production-ready AI music generation platform on AWS using CDK, comparing SageMaker and Bedrock approaches with detailed pros, cons, and implementation strategies for generating music from text prompts.
Deploying Apache Superset at Scale: Production-Ready BI Platform with AWS CDK and ECS Fargate
Comprehensive guide to architecting a highly available, production-grade Apache Superset deployment using ECS Fargate, RDS PostgreSQL, and AWS CDK for enterprise business intelligence at scale.
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.
Express.js Best Practices: Building Production-Ready Node.js Backend Applications
Master Express.js development with comprehensive best practices covering configuration, middleware, routing, security, error handling, and performance optimization. Learn to build scalable, maintainable, and secure Node.js backend applications.
TypeScript Best Practices: A Comprehensive Guide to Type-Safe Development
Master TypeScript development with comprehensive best practices covering configuration, type system, design patterns, code style, and advanced techniques. Learn to write type-safe, maintainable, and scalable TypeScript 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。