Building a Cloud Telemetry Anomaly Engine from Scratch (Python + Z-Score)
In Episode 2 of The Agentic Engineer, we build and deploy an automated data telemetry pipeline designed to act as a financial sentinel for enterprise cloud infrastructure. Instead of relying on brittle, hardcoded budget thresholds, this Python backend ingests daily log metrics and applies a rolling Z-score algorithm to establish a fluid statistical baseline, violently flagging log cost anomalies before they drain thousands.
Built modularly with a strict data contract and compiled using an OpenCV frame engine bridge.
Disclaimer: All cloud infrastructure telemetry logs, spend metrics, and data streams shown in this video are programmatically simulated for instructional and demonstration purposes.