GitHub - airtai/faststream: FastStream is a powerful and easy-to-use Python framework for building asynchronous services that interact with event streams such as Apache Kafka and RabbitMQ.

Producing: One part of your system (a producer) wants to send a message, which could be anything like an order from a customer, a sensor reading, a log message, etc. Consuming: Another part of your system (a consumer) wants to receive and process that message. FastStream acts as a postman, ensuring the message is delivered accurately and efficiently from producer to consumer. Applications: E-commerce Platform: When a customer places an order, a message regarding that order needs to be communicated to various services like Order Management, Inventory Management, Payment Gateway, and more. FastStream will handle these messages, validate the order data, and ensure that all relevant microservices are informed in real-time, ensuring a smooth ordering process. IoT Sensor Network: Consider a network of IoT devices sending sensor readings (temperature, humidity, etc.) to a central server. FastStream ensures that all these readings are valid, documented, and are efficiently communicated to the central server for further analysis or action. Financial Transactions: In a financial application, transactions and trading data can be passed through FastStream to validate transactions, communicate them to various analytic and logging microservices, and even trigger alerts or actions based on the data.