1

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.

·28 min
12

Part 12 — FDE core topic - Backpressure & Fair-Share:多租戶流量削峰與公平資源排程

深入解析 Token Bucket 反壓機制與加權公平排隊,說明多租戶 AI 平台如何在突發流量下保障每個租戶的最低吞吐量,並以 Redis Lua 腳本實現亞毫秒級限速。

·18 min
39

Part 39 — FDE 面試準備指南(三十九):RKK 實戰——從 10,000 到百萬用戶:AI 系統的橫向擴展架構設計

以系統設計視角拆解 AI 系統從內部試點到百萬外部用戶的擴展挑戰:三個演進階段的完整架構圖、無狀態服務設計、非同步佇列、語意快取、三層速率限制、Auto-scaling 策略,以及每個關鍵技術選型的 Why X not Y 決策邏輯

·25 min

MySQL Sharding Strategies: A Comprehensive Guide to Horizontal Scaling, Partitioning Methods, and Implementation Patterns

Master MySQL sharding strategies with detailed comparisons of horizontal partitioning, range-based sharding, hash-based sharding, and directory-based approaches. Learn implementation patterns, pros/cons, and real-world use cases for scaling databases.

·45 min

Microservices Architecture Patterns: Lessons from Scale

Deep dive into proven microservices architecture patterns that help organizations scale their systems effectively while maintaining reliability and developer productivity.

·12 min