In this final part of the book, we will discuss other essential microservice features, such as distributed tracing and logging, service registries, virtual environments, and API metrics. Serverless deployment using Docker and Docker Compose with NGINX as a reverse proxy will also be covered. Furthermore, we will look at FastAPI as a framework for building scientific applications using numerical algorithms from the numpy, scipy, sympy, and pandas modules to model, analyze, and visualize the mathematical and statistical solutions of its API services.
This part comprises the following chapters:
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