Operations Overview

HEALTHY
0.0% Risk
Host CPU Usage
--%
Baseline Threshold: 85%
Host Memory
--%
Baseline Threshold: 85%
Response Latency
-- ms
SLA Target: < 800 ms
Failure Risk Score
--%
AI Model Classification
Real-Time CPU & Memory Utilization Live 3s Polling
Network I/O Throughput (Mbps) psutil delta

Monitored Microservice Target: demo-microservice

Simulated Order & Payment Gateway workload integrated with automated self-healing.

Healthy
Disk Storage
--%
Inbound Network
-- Mbps
Outbound Network
-- Mbps
Active Connections
--
Application Response Latency (ms)
Monitored Cloud Services & Health Endpoints
Service Name Type Port / URL Status Health Check Probe
Cloud Sentinel API Core FastAPI Backend :8000/api/health RUNNING HTTP 200 (OK)
Prometheus Metrics Exporter Prometheus Client :8000/metrics SCRAPING 200 OK text/plain
Order & Payment Microservice Monitored Demo Workload :8001/health MONITORED Active Liveness Probe
Model Accuracy
100%
Scikit-learn Random Forest
Precision (Macro)
100%
Healthy / Warning / Critical
Recall (Macro)
100%
True Positive Detection Rate
Training Samples
6,000
Stratified 80/20 Train-Test Split
Model Feature Importances
Confusion Matrix Visualizer
Dynamic Anomaly Threshold Settings
Active Infrastructure Anomaly Alerts
Alert ID Timestamp Metric Current / Threshold Severity Description

Controlled Failure Simulation Lab

Demonstrate actual failure detection, ML prediction, and automated recovery actions.

Approved Safe Remediation Actions
Self-Healing Execution Audit Trail & Probes
Action ID Timestamp Service Action Taken Verification Status Duration Remediation Details
Hello! I am your Cloud Sentinel AI Ops Assistant. I analyze real-time Prometheus telemetry, Scikit-learn failure predictions, and automated self-healing events. Ask me anything about current resource saturation, root-cause diagnostics, or recommended Kubernetes policies.
Historical Failure & Anomaly Incidents
Incident ID Timestamp Severity Title Status Action
Generative AI Provider Configuration
Note: When no API key is set, the system automatically uses the offline intelligent heuristic engine clearly labeled as fallback mode.
Prometheus & Grafana Endpoints
• Prometheus Metrics Exporter: http://localhost:8000/metrics
• Prometheus Server (Docker/K8s): http://localhost:9090
• Grafana Dashboard (Docker/K8s): http://localhost:3000
• Monitored Microservice Target: http://localhost:8001