Deploying Web Applications with Django and Flask Training Course
Course Overview
This training course provides a comprehensive guide to deploying Python-based web applications built with Django and Flask. Participants will learn how to set up production-ready environments, use Docker for containerization, deploy applications to cloud platforms like AWS and Heroku, and implement CI/CD pipelines. Through hands-on exercises and real-world deployment scenarios, attendees will gain the expertise needed to successfully deploy and manage scalable web applications.
Format of Training
- Instructor-led interactive sessions
- Hands-on lab exercises
- Real-world deployment case studies
- Group discussions and debugging techniques
Course Objectives
- Understand production deployment requirements for Django and Flask applications
- Use Docker for containerizing Python web applications
- Deploy applications to AWS (EC2, S3, RDS, Elastic Beanstalk)
- Deploy applications to Heroku and configure environment variables
- Set up gunicorn and Nginx for serving Django and Flask apps
- Implement CI/CD pipelines using GitHub Actions or GitLab CI/CD
- Monitor and secure deployed applications using logging and error tracking
Prerequisites
- Basic knowledge of Python, Django, or Flask
- Familiarity with basic server administration (Linux command line preferred)
- No prior experience with Docker or cloud platforms required
Course Outline
Day 1: Preparing Django and Flask Applications for Deployment
Session 1: Understanding Deployment Requirements
- Differences between development and production environments
- Configuring environment variables and .env files
- Understanding WSGI (Gunicorn, uWSGI) and ASGI (Daphne, Uvicorn) servers
Session 2: Setting Up a Production-Ready Application
- Optimizing Django and Flask applications for production
- Configuring static files and media storage
- Using gunicorn to serve Flask/Django applications
Session 3: Hands-on Lab – Setting Up a Production-Ready Application
- Configuring gunicorn for Django and Flask apps
- Managing static files with WhiteNoise or S3 storage
Day 2: Containerizing Python Web Applications with Docker
Session 1: Introduction to Docker for Web Applications
- What is Docker, and why use it?
- Understanding Docker images, containers, and Docker Compose
- Writing a Dockerfile for Django and Flask applications
Session 2: Managing Multi-Container Applications with Docker Compose
- Using Docker Compose to manage app, database, and caching services
- Running PostgreSQL/MySQL containers for database integration
- Debugging and optimizing Docker containers
Session 3: Hands-on Lab – Deploying a Dockerized Django/Flask App
- Writing Dockerfiles and setting up multi-container environments
- Running a Flask/Django app in Docker with a database
Day 3: Deploying Django and Flask Applications to AWS and Heroku
Session 1: Deploying Web Applications on AWS
- Hosting Django and Flask applications on AWS EC2
- Using AWS S3 for static and media file storage
- Setting up RDS (PostgreSQL/MySQL) for database storage
Session 2: Deploying Applications on Heroku
- Setting up Heroku CLI and deploying an application
- Configuring Heroku Postgres and environment variables
- Scaling applications with Heroku dynos
Session 3: Hands-on Lab – Deploying Applications on AWS and Heroku
- Deploying a Django or Flask app to AWS EC2
- Configuring Heroku deployment and managing database connections
Day 4: Implementing CI/CD Pipelines and Securing Deployments
Session 1: Setting Up Continuous Integration and Deployment (CI/CD)
- Automating testing and deployment with GitHub Actions
- Using GitLab CI/CD or Jenkins for automated builds
- Implementing zero-downtime deployments
Session 2: Monitoring and Securing Deployed Applications
- Implementing logging with ELK Stack or CloudWatch
- Using error tracking with Sentry and New Relic
- Applying security best practices (SSL, HTTPS, firewall configurations)
Session 3: Hands-on Lab – Automating Deployment with CI/CD Pipelines
- Creating GitHub Actions workflows for automated deployment
- Setting up monitoring and logging for production applications
Bespoke Option
We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.
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