Flask API Scaling: Parallel Processing with RQ & Supervisor
What you'll learn
- Build Scalable Flask APIs: Set up and structure a microservice-based Flask API capable of handling high traffic and concurrent requests
- Implement Background Task Processing with RQ: Use Redis Queue (RQ) to manage and execute background tasks in parallel
- Deploy Flask Applications with Docker: Learn how to containerize your Flask applications using Docker for consistent deployment across different environments
- Monitor and Manage Workers with Supervisor and RQ Dashboard: Gain hands-on experience in worker management
Requirements
- A foundational understanding of Flask and experience with Python programming are required, as this course is geared toward more advanced concepts in API scaling and parallel processing
Description
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!
Who this course is for:
- Intermediate to advanced Python developers who are familiar with Flask
Instructor
- 4.8 Instructor Rating
- 224 Reviews
- 2,108 Students
- 6 Courses
Welcome to Pythonic Education, your gateway to time-optimized, real-world Python coding and Data Science education. Our mission is to equip learners with practical skills and comprehensive understanding in the ever-evolving field of Data Science. With a focus on Python programming, our courses are designed to provide hands-on experience, ensuring that students are not just learning theories but also applying them in real-world scenarios. Our curriculum experts are seasoned professionals, with many years of combined experience in the industry. They bring a wealth of knowledge and insights, ensuring that each course is rich in content and relevance. We highly value student feedback as it is pivotal for our continuous improvement and commitment to providing the most effective and relevant Python coding and Data Science education; your insights help us tailor our courses to better meet your learning needs and aspirations. See you in one of our courses!