A Complete Tutorial: Using RabbitMQ + Celery with Multiple Django Projects

In this post, we’ll walk through how to set up RabbitMQ on one server and run Celery across multiple Django projects, with clean project isolation, scalable architecture, and best practices. ✅ Step 1: Install RabbitMQ (Server A) ➡️ On Ubuntu (Server A): sudo apt update sudo apt install rabbitmq-server -y sudo systemctl enable rabbitmq-server sudo systemctl start rabbitmq-server ➡️ Enable RabbitMQ Management UI: sudo rabbitmq-plugins enable rabbitmq_management Visit: http://server-a-ip:15672 (default guest/guest). ➡️ Create RabbitMQ User: sudo rabbitmqctl add_user admin strongpasswordhere sudo rabbitmqctl set_user_tags admin administrator sudo rabbitmqctl set_permissions -p / admin ".*" ".*" ".*" sudo rabbitmqctl delete_user guest # For security ➡️ Open Ports: 5672 (for Celery workers) 15672 (for admin UI, restricted IPs recommended) ✅ Step 2: Project Structure (Multiple Django Projects Example) /var/www/ ├── project_...
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Leveraging Asynchronous Views in Django REST Framework for High-Performance APIs

As web applications grow, handling a high volume of concurrent requests becomes essential. Traditional Django views, which are synchronous, can slow down the system by tying up resources for each request. Fortunately, starting with Django 3.1, asynchronous views were introduced. By leveraging async views, Django can serve more requests concurrently, improving scalability and responsiveness.

Understanding Asynchronous Views in Django

Asynchronous views allow Django to handle tasks that involve waiting, like database queries or API calls, without blocking threads. This approach allows the server to handle additional requests in the meantime. In Django, async views use the async and await keywords to enable non-blocking behavior.

Example: Fetching Data from an External API

Here’s an example of an asynchronous view in Django that fetches weather data from an external API. Instead of blocking while waiting for the API response, Django can handle other requests.


from django.http import JsonResponse
from rest_framework.views import APIView
import aiohttp

class WeatherView(APIView):
    async def get(self, request):
        city = request.query_params.get("city", "London")
        url = f"https://api.weatherapi.com/v1/current.json?key=YOUR_API_KEY&q={city}"

        async with aiohttp.ClientSession() as session:
            async with session.get(url) as response:
                data = await response.json()
                return JsonResponse(data)

How Async Requests Work with Postman

1. Making the Request

When Postman sends a request, Django receives it and uses await to pause the view while waiting for the API response, allowing other requests to be handled concurrently.

2. Handling the Response

Once the data is ready, Django resumes the paused thread, processes the response, and sends it back to Postman without losing the connection.

Conclusion

By using asynchronous views in Django, you can make your web applications more efficient and scalable. Asynchronous views allow Django to handle more concurrent requests without extra server resources, making them ideal for modern high-traffic applications.

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