4

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.

·30 min
12

Part 12 — FDE 面試準備指南(十二):RKK 實戰——AI Agent 統計評估與品質量化

以系統設計視角拆解 AI Agent 的 Evaluation Pipeline:核心問題是什麼、RAG 評估三角怎麼設計、LLM-as-Judge 的取捨、以及怎麼讓 eval 成為持續整合的一環——含完整架構圖

·15 min

ChatPDF RAG 優化(三):可觀測性與評估 —— Langfuse 追蹤、評估歷史、即時評分

沒有量測就沒有優化。本篇拆解 chatPDF 如何補上 RAG 的可觀測性最後一塊:opt-in 零開銷的 Langfuse 追蹤、執行緒安全的 singleton、評估歷史持久化、即時答案評分(faithfulness/relevance)、relevance gate,以及無外部依賴的 SVG 趨勢圖表。

·16 min

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.

·23 min

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.

·65 min