My experience is the exact opposite.

This was particularly true for one of the projects I've worked with in the past, where Python was chosen as the main language for a monitoring service.

In short, it proved itself to be a disaster: just the Python process collecting and parsing the metrics of all programs consumed 30-40% of the processing power of the lower end boxes.

In the end, the project went ahead for a while more, and we had to do all sorts of mitigations to get the performance impact to be less of an issue.

We did consider replacing it all by a few open source tools written in C and some glue code, the initial prototype used few MBs instead of dozens (or even hundreds) of MBs of memory, while barely registering any CPU load, but in the end it was deemed a waste of time when the whole project was terminated.