Master Python Microservices - Beginner To Master

Master Python Microservices - Beginner To Master - Printable Version

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Master Python Microservices - Beginner To Master - AD-TEAM - 01-24-2025

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Master Python Microservices - Beginner To Master
Published 1/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 300.08 MB | Duration: 1h 12m

Will be good at Python Microservices and learn how to build microservices and best Practices in Python!

What you'll learn

Master Python Microservices

Build Python Microservices

Learn the best practices in Python Microservices

Be able to use Python Microservices

Requirements

You will learn from very basics. No prior knowledge is required

Description

Python is a popular language for developing microservices due to its simplicity, scalability, and extensive ecosystem of libraries. Microservices architecture involves breaking down applications into smaller, loosely coupled services, each responsible for a specific task or business function. This approach enhances flexibility, scalability, and maintainability, and Python's features align well with the requirements of building microservices.A core principle of microservices is that each service should be independent, with its own database and API. Python's rich ecosystem provides several frameworks and libraries to aid in creating microservices, with Flask and FastAPI being two of the most widely used. Flask is a lightweight web framework that makes it easy to build small, modular applications, while FastAPI is designed for high-performance, asynchronous APIs. Microservices also require robust monitoring and logging to track performance, detect errors, and ensure smooth operation. Python's integration with tools like Prometheus, Grafana, and ELK Stack allows developers to set up comprehensive monitoring systems and log aggregation for microservices.Python provides a solid foundation for building microservices, thanks to its simplicity, asynchronous capabilities, and strong ecosystem of libraries and tools. Its flexibility and scalability make it a great choice for developers looking to implement a microservices architecture that is both efficient and easy to maintain.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Types of Exceptions in Python

Lecture 3 Strategies for runtime Error in Python

Lecture 4 Finally Block in Python

Lecture 5 Custom Exceptions in Python

Lecture 6 while loop iterating in Python

Lecture 7 Return Functions in Python

Lecture 8 Runtime Context in Python

Lecture 9 Contextlib module in Python

Python developers,Software engineers

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