Day 1: Django Architecture for Scalable Applications

Session 1: Understanding Django’s Architecture for Enterprises

• Monolithic vs. Microservices architecture in Django
• Modularizing Django applications for scalability
• Organizing Django projects with apps, blueprints, and reusable modules

Session 2: Advanced Django Models and Query Optimization

• Using PostgreSQL with Django for enterprise applications
• Implementing indexes, partitioning, and database sharding
• Optimizing Django ORM queries for large datasets

Session 3: Hands-on Lab – Structuring a Scalable Django Application

• Refactoring a Django project into a modular and scalable structure
• Writing optimized queries for enterprise data handling

Day 2: Building and Managing Django Microservices

Session 1: Introduction to Microservices in Django

• Why use microservices for enterprise applications?
• Implementing Django-based microservices with Django REST Framework (DRF)
• Communication between services using gRPC or REST APIs

Session 2: Using Celery for Background Tasks

• Introduction to Celery and Redis for task management
• Handling asynchronous tasks for scaling applications
• Implementing scheduled tasks and real-time processing

Session 3: Hands-on Lab – Implementing Django Microservices with Celery

• Creating a Celery-based task queue for background processing
• Deploying Celery workers and monitoring task execution

Day 3: Security, Authentication, and Role-Based Access Control (RBAC)

Session 1: Securing Django Applications

• Implementing Django’s built-in security features (CSRF, CORS, XSS protection)
• Using security headers and HTTPS configurations
• Preventing SQL injection and other common vulnerabilities

Session 2: Implementing Authentication and Authorization

• Implementing JWT authentication and OAuth2
• Role-based access control (RBAC) with Django permissions
• Handling multi-tenant authentication in enterprise applications

Session 3: Hands-on Lab – Implementing JWT Authentication and RBAC

• Securing a Django REST API with JWT authentication
• Enforcing role-based access for different user types

Day 4: Performance Optimization and Deployment Strategies

Session 1: Optimizing Django for High Performance

• Caching strategies using Redis and Memcached
• Load balancing with Nginx and Gunicorn
• Using Django signals and async views for performance improvement

Session 2: Deploying Django Applications with Docker and Kubernetes

• Using Docker to containerize Django applications
• Deploying Django applications on AWS using ECS, Lambda, or Kubernetes
• Managing scalable infrastructure using Kubernetes and Helm

Session 3: Hands-on Lab – Deploying a Django Application with Kubernetes

• Setting up Django with Docker Compose
• Deploying a Django microservice to AWS Kubernetes (EKS)

Day 5: Monitoring, CI/CD Pipelines, and Production Best Practices

Session 1: Implementing CI/CD for Enterprise Django Applications

• Setting up GitHub Actions or GitLab CI/CD for automated testing and deployment
• Automating database migrations and deployment rollbacks
• Managing environment variables securely in production

Session 2: Application Monitoring and Logging

• Using Prometheus and Grafana for Django performance monitoring
• Implementing error tracking with Sentry
• Logging API requests and application errors using ELK Stack (Elasticsearch, Logstash, Kibana)

Session 3: Hands-on Lab – Implementing CI/CD and Application Monitoring

• Deploying a Django application with CI/CD automation
• Setting up real-time logging and monitoring dashboards