Description
Mastering Python Microservices Design Patterns is a course on implementing microservices using Python, published by Udemy Online Academy. Mastering Python Microservices Design Patterns is a comprehensive course that goes deep into the architecture and practical implementation of microservices using Python. Designed for intermediate to advanced developers, this course explores the core principles of microservices, how to decompose integrated applications, and use design patterns to build scalable, maintainable, and testable services. You’ll use Python and Flask to build microservices, simulate service-to-service communications, implement resilience patterns, and optimize service interactions.
Whether you’re building for mobile, web, or internal APIs, this course shows you how to apply each pattern where it matters. No prior microservices experience is required – just basic knowledge of Python and RESTful APIs. You build everything step by step and walk away with a set of code that you can reuse in your real-world projects.
What you will learn in Mastering Python Microservices Design Patterns:
- Identify and apply 11 microservices design patterns
- Build scalable microservices using Python and Flask
- Improve service resiliency with synchronous and circuit-breaker messaging
- Configure backend services using CQRS, BFF, and event sourcing
- And…
Course specifications
Publisher: Udemy
Instructors: Dr. Amar Massoud
Language: English
Level: Introductory to Advanced
Number of Lessons: 30
Duration: 2 hours and 9 minutes
Course topics
Mastering Python Microservices Design Patterns Prerequisites
Basic Python knowledge (functions, modules, packages)
Familiarity with RESTful APIs and HTTP methods
A code editor like VS Code and Python installed
No prior experience with microservices required
Pictures
Mastering Python Microservices Design Patterns introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 720p
Download link
File password (s): www.downloadly.ir
Size
475 MB