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Articles tagged with #deployment
Deploying a Django + DRF app in production isn’t as straightforward as running python manage.py runserver. For local development, Django's built-in development server works well enough, but it's not designed to handle high traffic, scale across multi...
Deploying Django in production requires careful security configurations, especially when using cloud platforms like AWS, DigitalOcean, GCP, or Azure. While Django provides security features out of the box, a misconfigured production environment can e...
With our microservices deployed on Kubernetes, the next step is to automate the process of building, testing, and deploying updates. Continuous Integration and Continuous Deployment (CI/CD) pipelines streamline these workflows, ensuring consistent an...
Containerization is a crucial step in preparing your microservices for deployment. By using Docker, we can package each microservice with its dependencies, ensuring consistency across development, testing, and production environments. In this part, w...
This series walks through the step-by-step process of breaking a Django DRF monolith into microservices, containerizing the architecture, setting up CI/CD pipelines, and deploying on AWS using Kubernetes. Each part focuses on a specific phase. Migrat...
1. Preparing the Application for Deployment a. Project Structure Ensure your Django project follows a standard structure: myproject/ ├── myproject/ │ ├── __init__.py │ ├── settings.py │ ├── urls.py │ └── wsgi.py ├── app/ │ ├── migrations/ │...
