Master Python Microservices - Beginner to Master from Udemy

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.

What's inside

Learning objectives

Master python microservices
Build python microservices

Learn the best practices in python microservices
Be able to use python microservices

Master python microservices
Build python microservices
Learn the best practices in python microservices
Be able to use python microservices

Syllabus

Introduction

Types of Exceptions in Python

Strategies for runtime Error in Python

Finally Block in Python

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers Flask and FastAPI, which are two of the most widely used frameworks for creating Python microservices, enabling developers to build robust applications

Explores microservices architecture, which enhances flexibility, scalability, and maintainability in application development, aligning with modern software engineering practices

Teaches the use of Prometheus, Grafana, and ELK Stack for monitoring and logging, which are essential for tracking performance and detecting errors in microservices

Focuses on building independent services with their own databases and APIs, which is a core principle of microservices architecture and crucial for system design

Requires familiarity with Python's exception handling, loops, and functions, which may necessitate prior experience or coursework in Python programming

Reviews summary

Python microservices: concepts and intro

According to learners, this course provides a solid introduction to building Python microservices, covering fundamental concepts and frameworks like Flask and FastAPI. Many appreciate the practical examples and hands-on approach, which helps solidify understanding. However, some students feel the content is not truly 'Master' level as the title suggests, particularly in terms of advanced topics and production-readiness. There's also feedback suggesting parts of the course may be slightly outdated or that the pacing is inconsistent, with some basic Python sections feeling out of place for learners expecting advanced microservices content.

Some sections may need content updates.

"Some libraries or tools used seemed a little bit out of date compared to current versions."

"I encountered a few issues getting the code examples to work due to dependency versions."

"A review of the content to ensure it uses the latest stable versions would be beneficial."

Inconsistent pacing, assumes Python basics.

"The initial sections on basic Python seemed redundant and slow for someone ready to learn microservices."

"The course jumps between very basic concepts and more complex ones, making the pacing feel uneven."

"Assumes a certain level of Python familiarity, but then covers elementary topics?"

"Wish it either committed to being truly beginner or truly advanced; the mix is odd."

Hands-on coding helps reinforce learning.

"The hands-on coding examples and projects were the most valuable part of the course for me."

"I really enjoyed following along with the code demos; they were clear and practical."

"Being able to code along made the concepts much easier to understand and apply."

"The practical application shown in the lectures is very helpful."

"The examples provided were relevant and helped solidify my understanding."

Provides a good starting point for microservices.

"This course gave me a really good understanding of the basic principles of microservices using Python."

"I feel much more comfortable building my first microservices after taking this course. It's a great intro."

"Covers the core concepts and how to get started with Flask and FastAPI, which is exactly what I needed."

"Learned the fundamental architecture and design considerations effectively."

"It was a useful course for grasping the essentials of microservices."

Lacks depth on advanced, production topics.

"While a good intro, it definitely doesn't live up to the 'Master' in the title. It's quite foundational."

"I was hoping for more advanced topics like deployment strategies, testing, or scaling in production."

"Felt more like an intermediate course. The jump from 'Beginner' isn't fully realized to 'Master'."

"Doesn't cover crucial real-world microservices challenges or best practices beyond the basics."

"Expected more depth on inter-service communication, resilience patterns, etc."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Master Python Microservices - Beginner to Master with these activities:

Review Python Fundamentals

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Strengthen your understanding of core Python concepts before diving into microservices. A solid foundation in Python will make it easier to grasp the complexities of building and deploying microservices.

Browse courses on Python Basics

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Review Python syntax and data structures.
Practice writing basic Python functions.
Work through online Python tutorials.

Read 'Python Cookbook'

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Explore advanced Python techniques and patterns relevant to microservices development. This book provides practical solutions to common programming challenges.

View Python Cookbook: Recipes for Mastering Python 3 on Amazon

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Select chapters relevant to microservices.
Study the code examples provided.
Experiment with adapting the recipes to your own projects.

Build a Simple API with Flask

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Gain hands-on experience with a lightweight framework commonly used in microservices. Building a simple API will solidify your understanding of routing, request handling, and response generation.

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Set up a basic Flask application.
Define API endpoints for simple operations.
Test the API using tools like Postman or curl.

Four other activities

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Show all seven activities

Follow FastAPI Tutorials

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Learn how to use FastAPI, a modern, high-performance framework for building APIs. FastAPI is well-suited for microservices due to its asynchronous capabilities and automatic data validation.

Show steps

Find a FastAPI tutorial online.
Work through the tutorial step-by-step.
Adapt the tutorial code to your own use case.

Document Your Microservice Architecture

Show steps

Improve your understanding of microservices architecture by documenting a sample system. This will help you think critically about the design and interactions between services.

Show steps

Choose a sample microservices architecture.
Create a diagram illustrating the services and their relationships.
Write a description of each service's responsibilities.

Read 'Building Microservices'

Show steps

Deepen your understanding of microservices architecture and best practices. This book provides a comprehensive overview of the topic.

View Building Microservices: Designing Fine-Grained... on Amazon

Show steps

Read the book cover to cover.
Take notes on key concepts and principles.
Reflect on how the concepts apply to your own projects.

Contribute to a Python Microservices Project

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Gain real-world experience by contributing to an open-source microservices project. This will expose you to best practices, code review processes, and collaborative development.

Show steps

Find an open-source Python microservices project on GitHub.
Identify an issue or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete Master Python Microservices - Beginner to Master will develop knowledge and skills that may be useful to these careers:

Backend Developer

A backend developer is responsible for building and maintaining the server-side logic of web applications and systems. Backend developers frequently employ microservices architectures, and this course helps them leverage Python's capabilities in this area. The course helps backend developers learn to use tools like Flask and FastAPI to construct independent services, aligning with the microservices principle. The course's coverage of topics such as exception handling, runtime context, and monitoring helps build a foundation for developers. A backend developer working with Python should take this course to improve their knowledge and practical skills in developing microservices.

See salaries and explore the career path for Backend Developer

Software Engineer

The role of a software engineer involves designing, developing, and testing software systems. A course covering Python microservices helps build a foundation for software engineers who want to specialize in building scalable and maintainable applications. Given that Python's simplicity, scalability, and extensive ecosystem of libraries are useful for building microservices, this course helps software engineers leverage tools like Flask and FastAPI to develop independent services with their own databases. The course's coverage of exception handling, runtime context, and monitoring tools gives a comprehensive understanding of building robust systems. A software engineer should consider this course to enhance their skills in microservices architecture and Python development.

See salaries and explore the career path for Software Engineer

API Developer

An API developer designs, develops, and maintains Application Programming Interfaces that enable different software systems to communicate with each other. This course emphasizing Python microservices provides a route to build efficient and scalable APIs. The course helps those who want to become API developers construct APIs using tools such as Flask and FastAPI. The course's deep dive into topics like exception handling, runtime context, and integration with monitoring tools helps build a foundation for creating robust API solutions. The course's focus makes it particularly beneficial for anyone looking to advance their skills in developing microservices based APIs.

See salaries and explore the career path for API Developer

Cloud Architect

Cloud architects design and oversee the implementation of cloud computing strategies. This course on Python microservices can help cloud architects understand how Python can be used to build efficient and scalable cloud applications. The knowledge delivered includes the application of tools like Flask and FastAPI to develop microservices. The course may be useful for understanding the importance of exception handling, logging, and monitoring, helping to build a foundation for well-architected cloud systems. A cloud architect looking to leverage Python for cloud-based microservices should consider this course to enhance their design capabilities.

See salaries and explore the career path for Cloud Architect

Full-Stack Developer

A full stack developer works on both the front-end and back-end components of web applications. This course on Python microservices can help full stack developers build robust back-end services. The course's instruction in tools such as Flask and FastAPI provides the resources to construct independent services that work within a microservices architecture. The course's in-depth study of exception handling, runtime context, and monitoring helps build a foundation for developing reliable applications. A full stack developer working with Python should consider this course to improve their skills in constructing scalable and maintainable back-end systems.

See salaries and explore the career path for Full-Stack Developer

Software Architect

Software architects make high-level design choices and set technical standards for software development projects. This course on Python microservices provides the necessary knowledge to design and implement scalable microservices architectures. The knowledge delivered includes the application of tools like Flask and FastAPI to develop independent services. The course may be useful for understanding the importance of exception handling, logging, and monitoring, helping to build a foundation for well-architected systems. A software architect looking to use microservices should consider this course to enhance their design capabilities.

See salaries and explore the career path for Software Architect

Cloud Engineer

Cloud engineers design, implement, and manage cloud computing systems and services. This course focusing on Python microservices can help develop cloud-native applications. The course discusses the use of tools such as Flask and FastAPI to construct independent services. The course's treatment of monitoring tools also helps to build a foundation for managing cloud-based microservices effectively. A cloud engineer working with Python should consider this course to improve their skills in building and deploying scalable cloud architectures.

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Solutions Architect

Solutions architects design and implement technology solutions to address business problems. This course on Python microservices may be useful in determining which solutions are most viable, as well as in helping to implement them. As the course covers Python's various uses in microservices, learners may find instruction in tools such as Flask and FastAPI to be useful. The course's treatment of monitoring best practices helps build a foundation for creating robust solutions architectures. A solutions architect should consider this course to improve their skills in designing and implementing microservices-based solutions.

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Technical Lead

A technical lead is responsible for guiding a team of developers and making key technical decisions to ensure project success. This course on Python microservices may be useful in determining which solutions are most viable, as well as in helping to implement them. As the course covers Python's various uses in microservices, technical leads may find instruction in tools such as Flask and FastAPI to be useful. The course's treatment of monitoring best practices helps build a foundation for leading teams in creating robust solutions architectures. A technical lead should consider this course to improve their skills in designing and implementing microservices-based solutions.

See salaries and explore the career path for Technical Lead

Systems Architect

A systems architect is responsible for designing the overall structure and components of software systems. This course focused on Python microservices delivers a deep understanding of architectural patterns useful for building scalable applications. The course's discussion of tools such as Flask and FastAPI helps to construct independent services. The material about the importance of monitoring and logging helps build a foundation for creating robust systems architectures. A systems architect should consider this course to improve their skills in designing microservices-based architectures.

See salaries and explore the career path for Systems Architect

Site Reliability Engineer

Site reliability engineers focus on ensuring the reliability, scalability, and performance of software systems in production. This course may be useful to site reliability engineers by delivering material regarding tools like Flask and FastAPI to construct independent services, aligning with the microservices architectural pattern. The course gives some attention to monitoring and logging, which is directly tied to a focus on reliability. A site reliability engineer working with Python benefits from this course to enhance their skills in deploying and managing microservices-based applications.

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Principal Engineer

Principal engineers define the technical vision and strategy for an organization, providing guidance and mentorship to other engineers. This course on Python microservices may be useful in determining which solutions are most viable, and in helping to guide others to implement them. As the course covers Python's various uses in microservices, principal engineers may find instruction in tools such as Flask and FastAPI to be useful. The course's treatment of monitoring best practices helps build a foundation for creating robust solutions architectures. A principal engineer should consider this course to improve their skills in designing and implementing microservices-based solutions.

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DevOps Engineer

DevOps engineers automate and streamline the software development lifecycle, including building, testing, and deployment. This course offers insight into building microservices, contributing to more efficient and scalable deployment pipelines. This course may be useful to DevOps engineers by delivering material regarding tools like Flask and FastAPI to construct independent services, aligning with the microservices architectural pattern. The course also gives some attention to monitoring and logging. A DevOps engineer working with Python benefits from this course to enhance their skills in deploying and managing microservices-based applications.

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Platform Engineer

Platform engineers build and maintain the infrastructure and tools needed to support software development and deployment. This course on Python microservices can help platform engineers build robust and scalable platforms. The course may be useful through its discussion of tools and frameworks such as Flask and FastAPI, which helps to construct independent microservices. The course's study of exception handling and monitoring contributes to building reliable system platforms. A platform engineer leveraging Python benefits from this course to enhance their capabilities.

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Data Engineer

A data engineer designs, builds, and manages the infrastructure for data storage, processing, and analysis. This course focused on Python microservices provides a foundation for building scalable data pipelines and services. The course may be useful through its discussion of tools and frameworks such as Flask and FastAPI, which helps to construct independent data processing services. The course's study of exception handling and monitoring contributes to building reliable data systems. A data engineer leveraging Python benefits from this course to enhance their capabilities in building microservices-based data solutions.

See salaries and explore the career path for Data Engineer

Master Python Microservices - Beginner to Master

What's inside

Learning objectives

Syllabus

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Reviews summary

Python microservices: concepts and intro

Activities

Career center

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