In the previous sections, we've been through the two different ways to write microservices: asynchronous versus synchronous, and whatever technique you use, the speed of Python directly impacts the performance of your microservice.
Of course, everyone knows Python is slower than Java or Go, but execution speed is not always the top priority. A microservice is often a thin layer of code that sits most of its life waiting for some network responses from other services. Its core speed is usually less important than how fast your SQL queries will take to return from your Postgres server, because the latter will represent most of the time spent to build the response.
But wanting an application that's as fast as possible is ...
