This document provides an overview of the evolving role of network engineers and the stages of network monitoring enlightenment. It discusses how networks have transitioned from being manually monitored by humans to utilizing advanced analytics and machine learning. The stages progress from basic human alerting (Stage 0) to comprehensive logging (Stage 1), implementation of analytics and triggers (Stage 2), and machine learning applications (Stage 3). It notes that machine learning is starting to be applied to optimize datacenter efficiency by predicting metrics like Power Usage Effectiveness. The final stage is finding a new career as software and automation replace many network engineering jobs.