Adaptive Fault Tolerant Cloud System
Team Members
Overview
A self-healing cloud application implementing distributed monitoring, anomaly detection, automated failover, and disaster recovery orchestration.
Results
A Python server fetches a batch of logs every 5 minutes, runs the detection model to identify anomalous logs, and classifies only those logs using the trained models. If an anomaly is detected, the server sends a request to the recovery engine to trigger the appropriate recovery action.
Technologies Used
UI Showcase
