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Microservices Architecture
Definition
Microservices Architecture is a design approach where an application is built as a collection of small, independent services that communicate through well-defined APIs. Each service is self-contained, focuses on a specific business capability, and can be developed, deployed, and scaled independently.
When to Use It
- You need to scale different parts of your application independently
- Your team is large and can work on multiple services simultaneously
- You want to use different technologies for different services
- You need to deploy and update parts of the system independently
- Your application has distinct business domains that can be separated
- You require high availability and fault isolation
Pros & Cons
✓ Pros
- Independent scaling of services
- Technology diversity and flexibility
- Faster deployment cycles
- Better fault isolation
- Easier to understand and maintain small services
- Team autonomy and parallel development
✗ Cons
- Increased operational complexity
- Network latency and reliability concerns
- Distributed system challenges (data consistency)
- Testing becomes more complex
- Requires sophisticated DevOps practices
- Higher infrastructure costs initially
Architecture Diagram
┌─────────────────────────────────────────────────────────────────┐
│ API Gateway │
│ (Entry Point) │
└────────────┬────────────┬────────────┬────────────┬─────────────┘
│ │ │ │
▼ ▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐
│ User │ │ Product │ │ Order │ │ Payment │
│ Service │ │ Service │ │ Service │ │ Service │
└────┬─────┘ └────┬─────┘ └────┬─────┘ └────┬─────┘
│ │ │ │
▼ ▼ ▼ ▼
┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐
│ User │ │ Product │ │ Order │ │ Payment │
│ DB │ │ DB │ │ DB │ │ DB │
└─────────┘ └─────────┘ └─────────┘ └─────────┘
│ │ │ │
└────────────┴────────────┴────────────┘
│
▼
┌────────────────┐
│ Message Queue │
│ (Event Bus) │
└────────────────┘
Key Components:
• Each service has its own database (Database per Service)
• Services communicate via APIs or message queues
• API Gateway routes requests to appropriate services
• Independent deployment and scaling per service