5

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.

·35 min
6

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.

·40 min
38

Part 38 — AI 工程從零開始|Phase 17 Part 3:AI 成本優化與規模化 — 把每美元壓榨到極限

深入解析 AI 生產成本工程:Token 成本分解、快取策略(Semantic Cache/Prompt Cache)、模型路由、批次推論、Spot GPU 與 FinOps for AI

·23 min

AI System on Native AWS - Part 10 - 企業 AI 平台工程

系列終章。當一個企業有幾十個團隊、上百個 AI 專案時,讓每個團隊各自接 Bedrock、各自寫 CDK、各自處理合規,是災難。平台團隊要把前九篇的能力打包成『內部產品』:多帳號落地區(Control Tower)、統一的 LLM Gateway(集中路由/限流/快取/日誌/分帳)、Service Catalog 與可重用 CDK Construct 黃金路徑、FinOps 分帳、平台級可觀測性。全部用 CDK(CloudFormation)描述,並以一張橫跨 Part 1–10 的總表收束整個系列。

·28 min