Due diligence in these cases is rare.
That said, as the article also mentions, "micro" can be a bit of a misnomer; you could have a 50 person team working on a single "micro" service, in which case things like hiring and training are much more natural. (to add, I've never worked in a team of 50 on one product; 50 people is A Lot)
Never again. When I build teams forevermore, I pick the tech stack and I recruit people who know that tech stack, or want to learn that tech stack. And we stick to that tech stack whenever possible.
I didn’t know how to troubleshoot Node, but I did know how to read docs. Suddenly I can troubleshoot Node. Hooray.
I concur with your sentiment, and would also be an absolute dictator for tech stack and workload management. We’re not using Node, we’re avoiding React if at all possible, every dev touching the DB in any way will know SQL, and no one is using Scrum.
Even with just one, it isn't really a single one.
To pick on JS as example, not only there is JavaScript to learn, TypeScript might also be part of the stack, then there is the whole browser stack, and eventually node ecosystem as well.
Take the remaining UNIX/Windows related knowledge to get development and deployment into production going, SQL and the related stored procedures syntax for RDMS backends.
Eventually the need to know either C or C++, to contribute to V8 native extensions or WASM.
Now those folks need to learn about Go, Go's standard tooling, Go's ecosystem, IDE or programmer's editor customizations for Go code, and how to approach all the development workflows they are confortable of from the point of view of a Go developer.
You should always look into existing languages first. There's a lot of "I rewrote this thing into $language for a 100x performance boost" posts, in a lot of cases the comments are like "Yeah but if you rewrote it in the original language you could make it a lot faster too".
For a cool visualisation of this problem, check out https://boringtechnology.club/
Being able to easily use different programming languages. Not every language is a good fit for every problem. Being able to write your machine learning deduction services in Python, your server side rendered UI in Rails and your IO and concurrency heavy services in Go might justify the additional overhead of having separate services for these three.