SmartGuard AI Dashboard

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  System Metrics Overview

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  SmartGuard AI Dashboard: Real-time system metrics and monitoring

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  Incident Timeline: Visualizing system alerts and events chronologically

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  AI Assistant in Action – Shows the assistant responding to queries or providing insights.

Inspiration

We wanted to build a unified observability and AI-powered monitoring platform that helps developers and ops teams track, analyze, and respond to application issues in real-time. The inspiration came from seeing the complexity of managing multiple services and logs in production environments, and the need for intelligent insights.

What it does

SmartGuard AI Dashboard provides:

• Real-time monitoring of application metrics and logs
• AI-powered anomaly detection and alerts
• Visualization of service health and timeline
• Slack notifications for critical events
• Gemini AI integration for intelligent querying of logs

How we built it

• Backend:FastAPI for APIs and metrics aggregation
  
• Frontend: Streamlit for interactive dashboards
  
• Database: PostgreSQL running in Kubernetes with persistent storage
  
• Deployment: GKE cluster with Kubernetes manifests for deployments, services, and secrets
  
• AI Integration: Gemini API for AI-powered insights
  
• Notifications:** Slack webhooks for real-time alerts
  
• CI/CD: Dockerized application with images hosted on DockerHub
  

We structured the code using microservices architecture and leveraged Kubernetes for scalable deployments.

Challenges we ran into

• Configuring persistent storage for PostgreSQL in GKE
  
• Managing secrets securely with base64 encoding in Kubernetes
  
• Handling port-forwarding issues for local testing
  
• Integrating Gemini API and Slack webhooks without exposing sensitive keys
  

Accomplishments that we're proud of

• Fully deployed, working AI-powered dashboard in GKE
  
• Smooth integration of metrics, logs, and AI querying
  
• Dockerized microservices with easy setup for local and cloud deployment
  
• Clear documentation and quick setup instructions for hackathon reviewers
  

What we learned

• Kubernetes deployment strategies, including PVC, secrets, and service types
  
• Best practices for securely managing API keys and credentials
  
• Integrating third-party AI services with observability tools
  
• How to structure a hackathon-ready full-stack cloud project
  

Built With

• cloud
• docker
• dockerhub
• fastapi
• gcp
• gemini
• github
• kubernetes
• loggging
• postgresql
• python
• slack
• streamlit