Development Framework Guide

CloudBase HTTP cloud functions support multiple mainstream Web development frameworks, enabling you to rapidly build and deploy Web applications using familiar technology stacks. This guide introduces various supported frameworks and their characteristics to help you choose the most suitable development solution for your project requirements.

Supported Development Frameworks

JavaScript/TypeScript Frameworks

📄️ Express.js

A lightweight and flexible Node.js Web application framework, simple and easy to use with a rich ecosystem, ideal for rapid development of RESTful APIs and Web applications.

📄️ NestJS

An enterprise-level Node.js framework based on TypeScript, adopting modular design and dependency injection, suitable for building large-scale, maintainable backend applications.

📄️ Next.js

A full-stack React development framework that supports features such as SSR, SSG, and API routes, suitable for building modern full-stack Web applications.

Framework Features Comparison

Framework	Type	Learning Curve	Applicable Scenarios	Key Features
Express.js	Micro-framework	Gentle	API services, small applications	Lightweight, flexible, rich middleware
NestJS	Enterprise-level framework	Moderate	Large-scale backend applications	TypeScript, dependency injection, modularity
Next.js	Full-stack framework	Moderate	Full-stack applications, SSR applications	React, SSR/SSG, API routes

Python Frameworks

📄️ Django

A fully-featured Python Web framework with built-in ORM, admin backend, authentication, and other functionalities, suitable for rapid development of complex Web applications.

📄️ Flask

A lightweight Python Web micro-framework, concise and flexible with high extensibility, ideal for building API services and small-scale Web applications.

📄️ FastAPI

A modern, high-performance Python Web framework that supports automatic API documentation generation, type checking, and asynchronous processing, suitable for building high-performance APIs.

Framework Features Comparison

Framework	Type	Learning Curve	Applicable Scenarios	Key Features
Django	Fully-featured framework	Moderate	Complex Web applications	ORM, Admin backend, comprehensive ecosystem
Flask	Micro-framework	Gentle	API services, small applications	Lightweight, flexible, extensible
FastAPI	Modern framework	Gentle	High-performance APIs	Asynchronous, type checking, automatic documentation

How to Choose a Framework

Select Based on Project Requirements

🚀 Rapid Prototyping

• Recommended: Express.js, Flask
• Reasons: Gentle learning curve, fast development speed, suitable for quickly validating ideas

🏢 Enterprise-Grade Applications

• Recommended: NestJS, Django
• Reasons: Complete architecture, strong maintainability, suitable for team collaborative development

🌐 Full-Stack Applications

• Recommended: Next.js
• Reasons: Integrated frontend-backend, supports SSR/SSG, suitable for modern Web applications

⚡ High-Performance API

• Recommended: FastAPI, Express.js
• Reasons: Excellent performance, asynchronous support, suitable for high-concurrency scenarios

Select Based on Team Skills

JavaScript/TypeScript Team

• Preferred: Express.js (for simple projects), NestJS (for complex projects), Next.js (for full-stack projects)
• Advantages: Unified tech stack, reduces the learning curve

Python Team

• Preferred: Flask (simple projects), Django (complex projects), FastAPI (API projects)
• Advantages: Leverages the existing Python ecosystem and expertise

Deployment Requirements

All frameworks must meet the following requirements when deployed on CloudBase HTTP cloud functions:

General Requirements

• Port Configuration: The application must listen on port 9000
• Startup Script: The scf_bootstrap startup script must be provided.
• Runtime: Node.js 16.13+, Python 3.8+, and other supported runtime versions
• Memory Limit: Select an appropriate memory configuration (128MB-3008MB) based on application complexity

Configuration Example

Node.js Application scf_bootstrap

#!/bin/sh
export PORT=9000
export NODE_ENV=production
npm start

Python Application scf_bootstrap

#!/bin/sh
export PORT=9000
python app.py