Flask API Scaling: Parallel Processing with RQ & Supervisor | Udemy

Unlock the Power of Scalable Flask APIs with Parallel Processing

Are you ready to scale your Flask applications and boost your backend performance? “Flask API Scaling: Parallel Processing with RQ & Supervisor” is a comprehensive course crafted to help you create responsive, high-performance Flask Microservice APIs.

Why Enroll in This Course?

• Comprehensive Flask Microservice Setup: Learn how to build a modular and scalable Flask API, setting up a solid foundation for creating reliable microservices.
• Efficient Task Handling with Redis Queue (RQ): Discover how to manage background processes seamlessly. By integrating Redis Queue (RQ), you’ll enable parallel task execution that ensures smooth API performance, even under heavy traffic.
• Streamlined Deployment with Docker: Master the deployment of your Flask applications using Docker. Containerize your microservices for consistent, environment-independent operation and simplified scaling.
• Inter-Process Communication: Implement a Pub/Sub (publish/subscribe) mechanism, allowing multiple processes to communicate efficiently, making your application more modular and robust.
• Advanced Worker Management: Learn to control and monitor your background tasks with Redis CLI and track real-time updates with RQ Dashboard for smooth workflow management and effective scaling.

What You’ll Learn

• Setting Up Flask Microservices: Develop a microservice skeleton and main API endpoints.
• Task Management with RQ & Supervisor: Configure Redis Queue and manage processes with Supervisor.
• Dockerized Deployment: Containerize your Flask app for easy deployment and scaling.
• Inter-Process Communication: Implement custom workers and a Pub/Sub mechanism.
• Worker Control & Monitoring: Utilize Redis CLI for worker management and track tasks with RQ Dashboard.

Who Should Take This Course?

• Python Developers who are familiar with Flask and are ready to take their API skills to the next level by implementing parallel processing, enhancing scalability, and optimizing performance under heavy loads.

Enroll Now and Scale Your Flask API Performance Today!

Take this opportunity to become proficient in scalable API design and unlock the full potential of Flask, RQ, and Supervisor. Enroll now and start building high-performance, scalable APIs!