Mastering Python Microservices Design Patterns

[kingers]

Mastering Python Microservices Design Patterns
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 9m | Size: 625 MB

Build scalable Python microservices using design patterns like API Gateway, CQRS, Event Sourcing, BFF, and more

What you'll learn
Identify and apply 11 microservice design patterns
Build scalable microservices using Python and Flask
Improve service resilience with async messaging and circuit breakers
Tailor backend services using CQRS, BFF, and event sourcing

Requirements
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

Description
Are you a Python developer ready to move beyond monolithic applications? Do you want to build scalable, modular systems using real-world architecture patterns? Welcome to Mastering Python Microservices Design Patterns, the hands-on course designed to teach you how to design, build, and maintain modern microservices using Python.In this practical guide, you'll learn 11 proven microservices design patterns, including Aggregator, API Gateway, Circuit Breaker, Chain of Responsibility, Shared Database, Branch, CQRS, Event Sourcing, BFF (Backends for Frontends), and more. Each pattern is taught through real-world use cases, complete with live code demos and assignments so you can apply your knowledge immediately.You'll use Python and Flask to build microservices, simulate service-to-service communication, 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.This course is perfect for:Python developers transitioning from monolith to microservicesSoftware engineers and backend developers designing distributed systemsDevOps professionals supporting scalable architecturesTech leads seeking practical ways to manage service complexityBy the end of this course, you'll be able to:Identify the right design pattern for each scenarioImplement scalable, resilient microservices using PythonSeparate read/write operations with CQRSRestore state using Event SourcingCustomize responses for frontend types using BFFVisualize and track changes in your system using tools like CodeSeeNo prior microservices experience required-just basic knowledge of Python and RESTful APIs. You'll build everything step-by-step and walk away with a portfolio of code you can reuse in your real-world projects.Join thousands of learners and become confident in designing Python microservices that are robust, scalable, and production-ready. Enroll today and start building architecture that works for the future.

Who this course is for
Python developers moving from monoliths to microservices
Software architects designing scalable service-based systems
DevOps engineers supporting distributed architectures
Tech leads and backend developers focused on system maintainability

Homepage
https://www.udemy.com/course/mastering-python-microservices-design-patterns

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