IoT Telemetry Dashboard API

A production-minded, memory-optimized ASP.NET Core Web API that simulates telemetry ingestion from IoT devices. This project showcases advanced backend design patterns, low-level memory awareness (stack vs heap), and a clean layered architecture ideal for high-performance, energy-constrained environments like IoT. Perfectly suited for portfolio demonstration and technical interviews.

🎯 Why This Project?

• Brushup on ASP.NET Core and design concepts – Layered architecture, service abstraction, and clean dependency injection

• Highlight IoT-relevant patterns – Struct-based DTOs, batching, lightweight validation, GC avoidance

• Implement a memory-conscious design – Stack vs heap, async I/O, and efficient EF Core usage. Profiling heap vs stack usage for educational insights (BenchmarkDotNet Integration).

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📐 Architecture

This project implements a robust 4-layer architecture to ensure separation of concerns, scalability, and maintainability:

Layer	Folder	Responsibility
Presentation Layer	Controllers/	Exposes REST API endpoints, handles HTTP logic
Business Logic Layer	Services/	Central logic (e.g., CRC validation, data transformation)
Data Access Layer	Repositories/	EF Core queries, stored procedure calls, batch operations
Database Layer	Data/	SQLite schema, migrations, and DbContext configuration

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🧱 Tech Stack

• ASP.NET Core Web API – Modern, cross-platform framework
• Entity Framework Core + SQLite – Lightweight, embedded relational DB
• C# 12 – Using record and readonly struct for memory-sensitive DTOs (Data Transfer Objects)
• Swagger/OpenAPI – For self-documenting API and manual testing
• Optional Frontend – React + Axios + Chart.js/Recharts (planned)

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🧠 Memory-Conscious Design

This app is tailored for environments where memory allocation matters:

Technique	Benefit
readonly struct for DTOs	Uses stack memory → avoids GC overhead
AsNoTracking()	Reduces EF Core memory pressure during reads
Async/Await on EF methods	Efficient I/O, responsive threads
Batching and Pagination	Prevents memory spikes, improves DB performance
Scoped Services	Avoids memory leaks from long-lived dependencies
Lightweight CRC validation	Realistic low-cost check for data integrity

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🔄 API Endpoints

(2025-06-04)

Method	Route	Purpose
POST	/api/telemetry	Submit new telemetry data with CRC validation
GET	/api/telemetry/{deviceId}	Retrieve the latest readings for a device
DELETE	/api/telemetry/cleanup	Batch delete old data (e.g., older than 7 days)

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🚀 Future Enhancements

🧾 Stored Procedure Integration: Use SQL Server for performance-heavy cleanup logic

🖥️ React Dashboard: Live UI with telemetry charts using Recharts or Chart.js

🔁 Real-Time Telemetry via SignalR: Push updates from backend to frontend without polling

🔐 JWT Authentication: Secure access to telemetry endpoints

🐳 Dockerization: Containerize backend and optional frontend for deployment

🔄 GitHub Actions CI/CD: Automated testing, linting, and deployment pipelines

🧪 Unit & Integration Tests: Coverage of services and controllers using xUnit or NUnit

🧠 Redis or LiteDB Caching: Optional low-memory persistent caching layer