Realtime Data Processing
Continuous ingestion and transformation of live event streams into structured telemetry.
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ThreatPulse Monitoring Console
ThreatPulse is a real-time monitoring system that transforms raw event streams into structured anomaly signals and actionable incidents. It demonstrates how streaming data can be processed, filtered, and visualized as a stable operational system.
REALTIMEWEBSOCKETFASTAPIVUEPOSTGRESQLDATA STREAMINGANOMALY DETECTION
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A look at the project in real use.
Value
What the project delivers
Anomaly Detection Logic
Detection based on rolling baseline, z-score deviation, hysteresis thresholds, and persistence filtering.
Stateful Alert System
Alerts are modeled as lifecycle-driven entities rather than raw events, reducing noise and improving signal quality.
Noise Reduction Strategy
Hysteresis, persistence rules, and cooldown mechanisms prevent alert flooding and stabilize system behavior.
Operational UX Design
Interface designed to reflect system state clearly, separating raw signals from confirmed incidents.
Configurable Detection Policies
Users can adjust sensitivity, thresholds, and alert behavior through preset modes and custom controls.
Audience
Who it’s for
Engineers working with real-time data streams
Teams building monitoring or alerting systems
Developers exploring event-driven architectures
Anyone interested in anomaly detection and operational dashboards
Want to explore the system in action?
Interact with the live monitoring console and experiment with detection sensitivity to see how the system reacts to changing conditions.