Microservices Arxitekturasi: Python bilan qanday qurish?

Microservices arxitekturasi zamonaviy backend tizimlarning asosiy yondashuviga aylandi.

Nega Microservices?

• Scalability - har bir servisni alohida scale qilish

• Flexibility - turli texnologiyalar ishlatish

• Resilience - bitta servis fail bo'lsa, boshqalari ishlaydi

• Team autonomy - har bir jamoa o'z servisini boshqaradi

Arxitektura

``

┌─────────────┐ ┌─────────────┐

│ API │────▶│ Auth │

│ Gateway │ │ Service │

└─────────────┘ └─────────────┘

│

├──────────▶ User Service

│

└──────────▶ Order Service

`

Python bilan implement qilish

`python

user_service/main.py

from fastapi import FastAPI

import httpx

app = FastAPI()

@app.get("/users/{user_id}")

async def get_user(user_id: int):

# Database query

return {"id": user_id, "name": "John"}

@app.get("/users/{user_id}/orders")

async def get_user_orders(user_id: int):

# Call order service

async with httpx.AsyncClient() as client:

response = await client.get(

f"http://order-service/orders?user_id={user_id}"

)

return response.json()

``

Service Communication

1. Synchronous - REST, gRPC

2. Asynchronous - Message queues (RabbitMQ, Kafka)

Best Practices

• Har bir servis o'z database'iga ega bo'lsin

• API versioning qo'llang

• Circuit breaker pattern ishlatng

• Centralized logging va monitoring

Xulosa

Microservices murakkablik qo'shadi, lekin to'g'ri qo'llanilganda katta afzalliklar beradi.