A sophisticated infrastructure intelligence system that works 24×7 to monitor servers, microservices, and load balancers with predictive failure analysis, alert intelligence, and automated remediation powered by Google Gemini AI.
Continuous infrastructure surveillance
Identify failures before they occur
Reduced noise, meaningful incidents only
Failure tracking with prevention steps
Filter, group, and correlate alerts to reduce noise. Only meaningful incidents are reported.
Identify possible failure points before downtime occurs using metrics and historical data.
Track time, affected services, reasons, fixes, and prevention steps for all incidents.
Detect cascading failures and upstream issues across services with proper context.
Daily AI-generated email reports and on-demand analysis for backend team synchronization.
LLM-powered solutions with confidence scoring based on past incidents and runbooks.
Mapped to known failures with safe auto-remediation actions (service restarts, scaling, cache clearing).
Correlate incidents with deployments, configuration changes, and upgrades.
Predictive alerts for CPU, memory, disk usage, thread pools, and connection limits.
Track successful solutions and improve future recommendations based on resolved incidents.
Learning System: Improves over time by tracking which solutions worked successfully.
Real-time status of all monitored services with color-coded health indicators.
Visual timeline of incidents with duration, impact, and resolution tracking.
Interactive visualization of service dependencies and failure propagation paths.
Identify weak services, recurring failure patterns, and performance trends over time. Natural language querying for easy analysis of infrastructure health, incidents, and historical data.
Lead Developer & Architect
Collaborator & DevOps
Collaboration: Working together to enable more optimal possibilities throughout the development process.
Built and maintained by Aryan Barde in collaboration with Vishal Jha. This project represents cutting-edge implementation of modern DevOps practices, AI integration, and automated infrastructure management with SQLite for lightweight, efficient data storage.