Day 1: Flask Performance Optimization Fundamentals

Session 1: Understanding Flask Performance Bottlenecks

• Profiling Flask applications for performance issues
• Identifying slow API responses and inefficient database queries
• Using Flask Debug Toolbar and performance monitoring tools

Session 2: Introduction to Caching and Redis

• What is caching, and why is it important?
• Introduction to Redis and its role in improving Flask performance
• Setting up Redis for Flask applications

Session 3: Hands-on Lab – Setting Up a Flask Application with Redis

• Installing Redis and Flask-Cache for caching implementation
• Configuring Redis as a caching layer for a Flask app

Day 2: Implementing Caching Strategies with Flask and Redis

Session 1: Using Redis for API and Database Caching

• Implementing query caching to reduce database load
• Storing frequently accessed API responses in Redis
• Managing cache expiration and invalidation strategies

Session 2: Implementing Rate Limiting and Session Management

• Using Redis to prevent API abuse with rate limiting
• Implementing session storage with Redis for scalable authentication
• Handling user authentication tokens efficiently

Session 3: Hands-on Lab – Implementing API Caching and Rate Limiting

• Caching API responses using Redis
• Implementing rate limiting for user authentication APIs

Day 3: Asynchronous Task Processing with Celery

Session 1: Introduction to Celery for Background Tasks

• Understanding the need for asynchronous processing
• Setting up Celery with Redis as a message broker
• Running Celery workers and monitoring task execution

Session 2: Handling Background Jobs in Flask with Celery

• Implementing asynchronous email sending and report generation
• Running scheduled tasks and periodic jobs
• Using Flask-SocketIO and Redis for real-time notifications

Session 3: Hands-on Lab – Implementing Celery for Background Processing

• Setting up Celery for async job execution
• Running background tasks and monitoring job queues

Day 4: Scaling, Security, and Deployment of High-Performance Flask Apps

Session 1: Scaling Flask Applications with Redis and Load Balancing

• Using Redis for distributed caching in multi-instance Flask apps
• Implementing horizontal scaling with Docker and Kubernetes
• Load balancing with NGINX and Gunicorn

Session 2: Security, Logging, and Monitoring for Flask Performance

• Securing Redis and Celery deployments against threats
• Logging API requests and debugging Redis issues
• Monitoring application performance with Prometheus and Grafana

Session 3: Hands-on Lab – Deploying a High-Performance Flask App

• Deploying a Flask application with Redis and Celery
• Configuring logging and monitoring tools for production use