Building the code is only half the battle. To ensure your microservices are production-ready, consider the following:
If you are a backend engineer moving from Django or Flask to a distributed architecture, is a cheat code.
You cannot rely on a monolith’s session cookie. The PDF details implementing with JWT (JSON Web Tokens) across multiple services, including how to handle token revocation and service-to-service authentication (mTLS). Building the code is only half the battle
When building microservices, the choice of framework is critical. Traditional frameworks like Flask or Django are powerful, but they often carry "bloat" or lack native asynchronous support (though Django is catching up with ASGI).
Using RabbitMQ and Kafka for event-driven architecture. WebSockets: Implementing real-time communication. 4. Infrastructure and Deployment The PDF details implementing with JWT (JSON Web
Key Features. Provides a reference that contains definitions, illustrations, comparative analysis, and the implementation of real- Amazon.com Building Python Microservices with FastAPI
Here is a recommended structure for a FastAPI microservice: Using RabbitMQ and Kafka for event-driven architecture
In a microservice, the contract for data exchange is defined by schemas. FastAPI uses Pydantic for this.
While Python is great, FastAPI allows you to build reliable, scalable components that are easy to maintain.
Tragura highlights several reasons why FastAPI is superior for microservices: