Practical Projects and Comprehensive Applications

This module helps you apply Go language knowledge to practical development through multiple typical projects, with comparisons to JavaScript. Each project includes project structure explanation, JS/Go comparison code, performance analysis, and practical suggestions.

1. Web API Project

Project Structure

• Routes and Controllers
• Database Integration
• Middleware

Performance Analysis

• Go starts fast and handles concurrency efficiently, suitable for high-concurrency API services
• JS (Node.js) single-threaded event loop, suitable for IO-intensive tasks

Exercises

• Implement JWT authentication API with Go
• Implement pagination query with JS

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2. Microservices Project

Project Structure

• gRPC Services
• Service Registration and Discovery
• Configuration Center

Performance Analysis

• Go has native gRPC support with efficient serialization
• JS has rich ecosystem, suitable for rapid prototyping

Exercises

• Implement service health check with Go
• Implement service registration with JS

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3. Concurrent Data Processing Project

Project Structure

• Multi-task Concurrent Processing
• Result Aggregation

Performance Analysis

• Go's concurrency model is more suitable for CPU-intensive tasks
• JS concurrency is suitable for IO-intensive tasks

Exercises

• Implement worker pool with Go
• Implement concurrent rate limiting with JS

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4. Cloud-Native Application Project

Project Structure

• Docker Containerization
• Kubernetes Deployment
• Logging and Monitoring

Performance Analysis

• Go binary is small, starts fast, easy to deploy in cloud-native environments
• JS requires Node runtime dependency

Exercises

• Implement Prometheus metrics collection with Go
• Implement simple health check with JS

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5. Real-time Chat Application

Project Structure

• WebSocket Communication
• Message Broadcasting

Performance Analysis

• Go handles connections more efficiently with concurrency
• JS has rich ecosystem, convenient for development

Exercises

• Implement message persistence with Go
• Implement frontend chat room with JS

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6. Distributed Task Scheduling System

Project Structure

• Scheduled Tasks
• Distributed Scheduling

Performance Analysis

• Go is suitable for high-concurrency task scheduling
• JS is suitable for lightweight scheduled tasks

Exercises

• Implement distributed task queue with Go
• Implement task status monitoring with JS

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You can choose any project for practical exercises. It's recommended to combine cloud-native and concurrency features to experience Go's engineering advantages.