How to build a python microservice with fastapi

okay, let's build a robust python microservice using fastapi. this tutorial will cover everything from project setup to testing and deployment considerations.

**what is a microservice?**

a microservice is an architectural style where an application is structured as a collection of small, independent, and loosely coupled services, modeled around a business domain. each service runs in its own process and communicates with other services, often over a network.

**why fastapi?**

fastapi is a modern, high-performance, web framework for building apis with python 3.7+ (and later). it leverages standard python type hints to automatically generate api documentation (using openapi and json schema) and provides impressive performance due to its use of starlette and pydantic under the hood.

**benefits of using fastapi:**

* **fast to code:** increases development speed by 200% to 300%.
* **fewer bugs:** reduces human (developer) induced errors by about 40%.
* **intuitive:** easy to learn and use, with great editor support.
* **robust:** production-ready code.
* **standard-based:** based on (and fully compatible with) the open standards for apis: openapi (formerly swagger) and json schema.
* **type hints:** great usage of python's type hints for validation and auto-completion.

**project goal:**

we'll create a simple microservice that manages a list of "products." it will have endpoints to create, read, update, and delete products (crud operations).

**1. project setup**

* **create a project directory:**



* **create a virtual environment:** this isolates project dependencies.



* **install dependencies:** install fastapi and uvicorn (an asgi server for running fastapi applications).



* `fastapi`: the core fastapi framework.
* `uvicorn`: an asgi server to run your fastapi application.
* `python-dotenv`: for manag ...

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