AI-Powered Dispatcher & CDN Optimization for AEM
AI-Powered Dispatcher & CDN Optimization for AEM Introduction AEM's Dispatcher and CDN layer is the frontline of performance and security. Traditionally, caching rules, TTLs, and security filters are all manually configured. But with AI and machine learning entering the infrastructure space, it's now possible to make smarter, dynamic decisions — from predicting cache invalidation patterns to detecting bot traffic and anomalous requests automatically. In this post, we'll cover practical ways to integrate AI/ML into your AEM Dispatcher and CDN stack. 1. AI-Based Anomaly Detection in Access Logs The first and most immediately useful application is analyzing Dispatcher/Apache access logs using AI to detect DDoS patterns, credential stuffing, or scraping bots. Log Parser Script (Python + OpenAI) Instead of manually writing regex rules, feed your access logs to an LLM to identify suspicious patterns: # log_analyzer.py import openai import...