Keep track of thousands of environments from 20,000 feet

The author describes the creation of a consolidated API and a real-time visualization tool to efficiently monitor problem statuses across multiple Dynatrace environments. This tool, developed using Python Flask, flask-socketio, and D3.js, provides a high-level view of open problems, their types, durations, and cross-environment issues, all in real time, without storing data. By updating every 30 seconds and offering features like a replay mode, the visualization allows users to quickly understand the status of all environments. The tool proved its value when it quickly identified a datacenter-wide issue that other monitoring solutions missed, highlighting its utility in detecting both significant problems and short-lived noise. The visualization's success has prompted further exploration into optimizing Dynatrace's anomaly detection settings and operational processes.