Real-Time Intrusion Monitoring Prototype

Overview

Built an early-stage prototype to validate a real-time intrusion detection system using time-series data and visualization tools.

This system served as the foundation for a more advanced, production-grade platform developed later. View the full case study →

InfluxDB Grafana Python Telegram ntfy

Time-Series Visualization
Real-time data visualization using InfluxDB and Grafana for sensor data monitoring

Live Map Tracking
Interactive map-based visualization for real-time intrusion event tracking

Multi-Channel Alerting
Dual alerting system combining Grafana-native alerts with custom Python notifications

Rapid Prototyping
Quick validation of core concepts before full-scale development investment

Real-Time Ingestion
Efficient data ingestion and querying for time-series analysis

Risk Mitigation
Reduced investment risk by validating feasibility early in the process

Developed a lightweight monitoring prototype using InfluxDB for time-series data storage and Grafana for visualization
Implemented real-time data ingestion pipelines for sensor data processing and analysis
Built live map-based intrusion tracking with geospatial visualization of events
Created a dual alerting system: Grafana-native alerts combined with custom Python services for Telegram and ntfy notifications
Designed efficient querying mechanisms for real-time data analysis and dashboard updates
Focused on rapid prototyping to validate core concepts before full-scale development
Ensured system reliability and performance for continuous monitoring operations

Served as the backend engineer responsible for prototype development and validation
Designed and implemented the time-series data pipeline and visualization stack
Built the custom alerting system integrating multiple notification channels
Delivered a working prototype that demonstrated feasibility and guided future development

Rapid Prototyping Skills: Ability to quickly build and validate technical concepts using modern tools and frameworks
Time-Series Data Expertise: Proficiency in designing and implementing real-time data pipelines and visualization systems
Alerting System Design: Experience building reliable notification systems with multiple channels and escalation paths
Geospatial Integration: Capability to incorporate mapping and location-based features into monitoring applications
Security Domain Knowledge: Understanding of intrusion detection concepts and risk assessment methodologies
Investment Risk Mitigation: Demonstrated ability to de-risk technical investments through proof-of-concept development
Full-Stack Backend Development: End-to-end ownership of backend systems from data ingestion to user-facing features