Students API is a production-ready backend service built with Go for managing student records, enrollment data, and academic information. It demonstrates clean architecture, proper separation of concerns, and efficient data handling — perfect for learning Go backend development and building scalable systems.
Tech Stack
Go
REST APIs
Database Design
Backend Architecture
Tools Used
VS Code
Git
Go Modules
Key Features
Core Features
▸Student Management: Create, read, update, and delete student records with proper validation.
▸Data Persistence: Robust storage layer with efficient database operations.
▸Clean Code: Well-structured Go project following best practices and conventions.
Architecture & Design
▸Modular Structure: Separation of concerns with cmd, internal, config, and storage layers.
▸Configuration Management: Flexible config system for different environments.
▸Production-Ready: Proper error handling, logging, and API design patterns.
Learning Focus
▸Go Best Practices: Idiomatic Go code with proper package organization.
▸Backend Fundamentals: REST API design, routing, and request handling.
▸System Design: Building scalable backend services from scratch.
Highlights
Go Backend Development
Clean Architecture
API Design
Database Integration
Installation
Clone the Repository
git clone https://github.com/Itsayu/students-api.git
cd students-api
Install Dependencies
go mod download
go mod tidy
Configure Environment
cp config/.env.example config/.env
# Update configuration as needed
Run the API
go run cmd/students-api/main.go
# API starts on localhost:8080
Challenges & Solutions
Challenge
Learning Go project structure and conventions
Solution
Organized code into logical layers: cmd (entry point), internal (business logic), config (configuration), and storage (data access).
Challenge
Building scalable API endpoints
Solution
Implemented proper routing, request/response handling, and error management following Go best practices.
Challenge
Data persistence and validation
Solution
Created efficient storage layer with proper data validation and error handling for consistency.