Not sure why you’re downvoted - but you’re right. We heavily use microservices but we have a well defined stack. Python/gunicorn/flask/mongodb with k8s. We run these on Kafka or rest api. We even runs jobs and corn jobs in k8s.
Functional decomp is left to different teams. But the libraries for logging, a&a, various utilities etc are common.
No microservices that don’t meet the stack unless they’re already developed/open source - eg open telemetry collectors.
Edit: I think the article is a path to a book written by the author. It’s more of an advertisement than an actual assessment. At least that’s my take on it.
Functional decomp is left to different teams. But the libraries for logging, a&a, various utilities etc are common.
No microservices that don’t meet the stack unless they’re already developed/open source - eg open telemetry collectors.
Edit: I think the article is a path to a book written by the author. It’s more of an advertisement than an actual assessment. At least that’s my take on it.