Book Image

Building Python Microservices with FastAPI

By : Sherwin John C. Tragura
3 (2)
Book Image

Building Python Microservices with FastAPI

3 (2)
By: Sherwin John C. Tragura

Overview of this book

FastAPI is an Asynchronous Server Gateway Interface (ASGI)-based framework that can help build modern, manageable, and fast microservices. Because of its asynchronous core platform, this ASGI-based framework provides the best option when it comes to performance, reliability, and scalability over the WSGI-based Django and Flask. When working with Python, Flask, and Django microservices, you’ll be able to put your knowledge to work with this practical guide to building seamlessly manageable and fast microservices. You’ll begin by understanding the background of FastAPI and learning how to install, configure, and use FastAPI to decompose business units. You’ll explore a unique and asynchronous REST API framework that can provide a better option when it comes to building microservices. After that, this book will guide you on how to apply and translate microservices design patterns in building various microservices applications and RESTful APIs using the FastAPI framework. By the end of this microservices book, you’ll be able to understand, build, deploy, test, and experiment with microservices and their components using the FastAPI framework.
Table of Contents (17 chapters)
1
Part 1: Application-Related Architectural Concepts for FastAPI microservice development
6
Part 2: Data-Centric and Communication-Focused Microservices Concerns and Issues
11
Part 3: Infrastructure-Related Issues, Numerical and Symbolic Computations, and Testing Microservices

Checking the API properties

Prometheus is a popular monitoring total that can monitor and check API services in any microservice application. It can check the number of concurrent request transactions, the number of responses at a certain period, and the total incoming requests of an endpoint. To apply Prometheus to FastAPI applications, first, we need to install the following module:

pip install starlette-exporter

Then, we add PrometheusMiddleware to the application and enable its endpoint to observe the API’s properties at runtime. The following script shows the application setup with the Prometheus monitoring module:

from starlette_exporter import PrometheusMiddleware, 
         handle_metrics
app = FastAPI()
app.add_middleware(PrometheusMiddleware, app_name=”osms”) 
app.add_route(“/metrics”, handle_metrics)

Here, we add PrometheusMiddleware using the add_middleware() method of FastAPI. Then...