Blazing Fast Backend Server Implementation by Eric Jhon Jumaday

Blazing Fast Backend Server Implementation

Eric Jhon Jumaday

Backend Engineer

Video Editor

Flutter Developer

PostgreSQL

Rust

Backend Server for Bus Tracking System

Overview This project involved developing a highly efficient and secure backend server for a Bus Tracking System using Rust with the Loco.rs framework and PostgreSQL as the database. The system is designed to provide real-time updates on bus locations, estimated arrival times, fares, and passenger capacity. This backend powers a user-friendly application that helps commuters make informed travel decisions and enhances operational efficiency for bus companies.

Key Features

Real-Time Bus Location Tracking

Integrated with GPS data to provide up-to-the-minute bus locations.

Designed to handle frequent location updates while maintaining high performance.

Fare Calculation and Display

Dynamically calculates and displays fares based on the starting and ending points of a trip.

Includes support for discounts (e.g., for students or senior citizens) as per operator policies.

Estimated Wait Times

Calculates and delivers accurate estimates of when the next bus will arrive based on real-time traffic and bus schedules.

Passenger Management

Tracks passenger capacity for each bus in real time.

Allows passengers to view available seating information before boarding.

Robust API

Built with Loco.rs, the APIs are fast, scalable, and memory-safe.

Endpoints include bus location queries, fare calculations, and ETA requests.

Database Management

PostgreSQL database designed for scalability and efficient querying.

Optimized schema design to handle data from multiple buses, routes, and schedules seamlessly.

Technical Highlights

Rust and Loco.rs Framework Leveraged Rust's performance and safety to build a backend system capable of handling thousands of concurrent requests with minimal latency. Loco.rs ensured a modular and lightweight architecture for rapid development and deployment.

PostgreSQL Employed PostgreSQL for its powerful relational capabilities, ensuring data integrity and fast access for location, fare, and schedule data.

Asynchronous Processing Used Rust's asynchronous capabilities to manage GPS updates, fare calculations, and passenger data efficiently.

Deployment Configured for deployment in cloud environments, making the system reliable, scalable, and easy to maintain.

Impact

This backend system empowered commuters with critical travel information and simplified operations for bus companies. It demonstrated the effectiveness of Rust for real-time, data-intensive applications and highlighted the advantages of combining modern frameworks like Loco.rs with robust databases like PostgreSQL.

This project exemplifies my ability to create custom backend solutions that prioritize performance, reliability, and user experience.

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Posted Dec 10, 2024

Developed a fast and secure backend using Rust (Loco.rs) and PostgreSQL for a Bus Tracking System. The server provides real-time bus locations, fare calculation

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