Elastic APM instruments a variety of libraries out of the box, but sometimes you need to know how long a specific function took or how often it gets called.
You can apply the decorator
@elasticapm.trace() to achieve exactly that.
It can also be used as a context manager in the following way:
import elasticapm @elasticapm.trace() def coffee_maker(strength): fetch_water() with elasticapm.trace('near-to-machine'): insert_filter() for i in range(strengh): pour_coffee() start_drip() fresh_pots()