What Is Microservice Architecture and How Is It Built Using Python?

TL;DR

Microservice architecture comprises an application structured as a collection of services that communicate over a network. This course demonstrates how to build such an architecture using Python alongside technologies like RabbitMQ, MongoDB, Docker, Kubernetes, and MySQL, specifically for converting video files to MP3 format.

Transcript

in this course you will learn about microservice architecture and distributed systems using a Hands-On approach a microservices architecture is a type of application architecture where the application is developed as a collection of services Giorgio from Canton coding teaches this course he does a great job teaching how to combine a bunch of differ... Read More

Key Insights

• 👻 Microservice architecture allows for building scalable and distributed applications.
• 🐕‍🦺 RabbitMQ is used as a messaging system for communication between services in the microservice architecture.
• ❓ Docker and Kubernetes are used for containerization and managing the microservices.
• 👤 MongoDB and MySQL are used as the databases for storing video and user data.
• 🏛️ Python is the programming language used for building the microservices.
• 🐕‍🦺 The microservice architecture follows a flow where services communicate through message queues and handle specific tasks in the overall video conversion process.
• 📼 The course provides step-by-step instructions for setting up the necessary prerequisites and guides learners in building the microservice architecture for video conversion.

Questions & Answers

Q: What technologies are used in building the microservice architecture for video conversion?

The microservice architecture for video conversion utilizes Python, RabbitMQ, MongoDB, Docker, Kubernetes, and MySQL.

Q: How does the video conversion flow work in the microservice architecture?

When a user uploads a video, the Gateway stores it in MongoDB and adds a message to a RabbitMQ queue. The video to MP3 converter service consumes the message, converts the video to MP3, stores it in MongoDB, and adds a notification message to the queue. The notification service consumes the message and sends an email notification to the client. The client can then use the API Gateway to download the MP3 file.

Q: What are the prerequisites for starting the course?

Prior to starting the course, you need to install Docker, Kubernetes, MiniKube, Python 3, and MySQL on your machine. The course provides installation instructions for Mac, but additional research is needed for Windows or Linux systems.

Q: How is JWT used in the authentication process?

In the authentication process, a user provides their username and password in a basic authorization header. If the credentials match a user in the MySQL database, a Json web token (JWT) is generated. The JWT is then used by the client to make subsequent requests to the API Gateway, allowing access to the endpoints based on user permissions stored in the JWT.

Key Insights:

• Microservice architecture allows for building scalable and distributed applications.
• RabbitMQ is used as a messaging system for communication between services in the microservice architecture.
• Docker and Kubernetes are used for containerization and managing the microservices.
• MongoDB and MySQL are used as the databases for storing video and user data.
• Python is the programming language used for building the microservices.
• The microservice architecture follows a flow where services communicate through message queues and handle specific tasks in the overall video conversion process.
• The course provides step-by-step instructions for setting up the necessary prerequisites and guides learners in building the microservice architecture for video conversion.
• JWT is used for authentication, allowing users to access the API Gateway and download the converted MP3 files.

Summary & Key Takeaways

• This course teaches microservice architecture and distributed systems using a hands-on approach, focusing on building an application to convert video files to MP3 files.

• The application utilizes Python, RabbitMQ, MongoDB, Docker, Kubernetes, and MySQL to create a microservice architecture.

• The video conversion flow involves a gateway, video to MP3 converter service, notification service, and API gateway, with RabbitMQ for message communication between services.