Proof of Concept: Real-Time Analytics Platform
A complete end-to-end real-time data system: high-performance ingestion, reliable storage (Delta Lake), and responsive web dashboard. Demonstrates how modern systems-level programming can build production-grade data platforms efficiently.
Uses space weather data as the example domain. Architecture applies directly to operational monitoring, IoT analytics, financial data streaming, or any real-time analytics use case.
Key insight: building fast, reliable systems doesn't require complex infrastructure. This project shows how thoughtful architectural choices reduce both operational overhead and total cost of ownership.
Technical Highlights
- Efficient Ingestion: Async I/O and parallelization for high-throughput data collection
- Reliable Storage: Delta Lake provides ACID guarantees and time-travel queries for audit compliance
- Responsive Dashboard: HTMX + Plotly for interactive visualization without SPA complexity
- Simple Architecture: End-to-end flow with minimal moving parts, reducing operational overhead
- Flexible Analysis: User-selectable time ranges (2 hours to 7 days) for different analysis needs
- Production-Ready Patterns: Scales from POC to enterprise deployment
Technical Approach
Decoupled architecture allows independent optimization of each component. Real-time ingestion runs separately from storage and API layers, improving reliability and maintainability.
Modern lakehouse architecture provides both real-time responsiveness for business users and historical reliability for compliance and audit. Demonstrates how thoughtful system design reduces both operational complexity and total cost of ownership.
Core Technologies
- Backend: Rust with Actix-web
- Frontend: HTML, CSS (Bootstrap), JavaScript (Plotly.js)
- Data Handling: Delta Lake, Apache Arrow
- Interactivity: HTMX for seamless updates