Hands On "AI Engineering"

Hands On "AI Engineering"

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Hands On "AI Engineering"
Hands On "AI Engineering"
Day 2: Building Your First Production-Ready Microservices Architecture

Day 2: Building Your First Production-Ready Microservices Architecture

Part of the "60-Days Hands-On AI-Engineering with Quiz Platform Implementation" series

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AIE
May 23, 2025
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Hands On "AI Engineering"
Hands On "AI Engineering"
Day 2: Building Your First Production-Ready Microservices Architecture
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🎯 What You'll Build Today

By the end of this lesson, you'll have a fully functional distributed system with three independent microservices that communicate seamlessly. This isn't a toy project—it's the same architectural pattern that powers Netflix, Spotify, and Discord.

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Learning Objectives:

  • ✅ Implement microservices architecture patterns used by billion-dollar companies

  • ✅ Create independent, scalable services with proper separation of concerns

  • ✅ Establish production-ready service communication patterns

  • ✅ Containerize your services for reliable deployment

  • ✅ Build the foundation for your 60-day learning journey


🏗️ Understanding Microservices: The Restaurant Analogy

Imagine running a restaurant. You could have one super-chef handle everything—taking orders, cooking, serving, and managing payments. This works great for a small café (like a monolithic application). But what happens when you need to serve thousands of customers daily?

You'd split responsibilities: hosts handle seating, chefs focus on cooking, servers deliver food, and cashiers process payments. Each team becomes an expert in their domain and can scale independently. This is exactly what microservices architecture does for software systems.

When Netflix serves 230 million subscribers, they don't use one giant application. Instead, they have separate services for user authentication, content recommendation, video streaming, payment processing, and user profiles. Each service can be updated, scaled, and maintained independently without affecting others.

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