I think the real lesson here is to choose the language that works best for your team. On my team we use Python and Scala. For network critical I/O stuff in Pyt

I think the real lesson here is to choose the language that works best for your team. On my team we use Python and Scala. For network critical I/O stuff in Python, asyncio has worked out just fine for our needs. For massive CPU parallelism needs (at least in sporadic bursts), we've actually found that AWS/Lambda does pretty well. Golang seems to be really polarizing. Most engineers on my team have tried Golang in the past, but haven't liked it, which is why we would never consider building anything on top of it. Everyone likes Python well-enough that it has kind of become the lingua franca for us. Deployment is all based around containers or serverless/lambda, and we have a pretty standardized way of deploying these things by now. Just because a bunch of k8s tooling is written in Golang doesn't mean I need to rush out and write my stuff in Golang too.