I suspect parent may be better able to divine what the Go compiler intended by looking at the produced assembly, vs. knowing or predicting how the JVM will behave by looking at bytecode/decompiled Java code. Not that it is impossible, it's an additional skill that's bourne of familiarity with Hotspot/Graal/$JVM
It's awesome to see all this Java expertise on this thread but at its essence -- a jar file doesn't define the program that's going to run. It's the union of a jar and the JVM it runs on. With Go, the binary is the whole story.
So even if I can predict how a particular JVM will treat a given jar, I'm still stuck if my code might be deployed across a range of JVMs.
I say all this having written orders of magnitude more Go, with apologies to the Java programmers.
Go would definitely be my preferred pick for distributed/server applications even though the previous large (mixed C and C++) project I was on was a large distributed application and we did just fine. In fact I'd say our productivity and quality in C++ in that other team was just as good as any I've seen (which is not a random/double blind sort of thing, who knows if that project started in Go from day 1).
I would say that in a large project the language choice has some impact but there are many other variables. A well managed C++ project with competent developers can work well. A less than well managed with so-so developers in Go can be disaster zone. There are lots of other moving pieces, testing, build automation, CI/CD etc.
There are certain areas where I would prefer not to use Go. Basically areas where you spend a lot of time up or down the abstractions. I would prefer not to implement a video codec or a signal processing system in Go. Firmware, motion control etc. would also probably not be a good fit. Going the other direction there are things I can do really quickly in Python (lessay grab some data from some services, do some manipulation, draw some graphs), generally smaller utility like pieces where I want to use data with various random types, use third party libraries. I wouldn't want to write a large project in Python because it's slow and is dynamically typed.
I would also beg to differ wrt/ 10%-20% performance difference. You tend to rely a lot more on GC and produce more "garbage" in Go and the optimizer isn't as good vs. the best C/C++ compilers, I'd say it's more like 50%-150%. But for a lot of stuff it doesn't matter. If you're just making database queries then most of your CPU is sitting there anyways and the delta on the caller side isn't a factor.
Go is pretty nice in it's zone. It's got rough edges but all in all it's fun to use. There are occasional annoyances (like those times where you implement another cache for the 10th time because you can't build a good generic cache or those times where you need a priority queue and interact with those clunky library implementations, so yeah, I'm in the generics fan club). But that hasn't stopped me from using and loving Go. I don't miss those C++ core dumps ;) or dealing with memory management (even with smart pointers and containers it can be a pain). Go's more dynamic aspects (reflection etc.) also make some things easier vs. C++. People can learn Go really quickly which is another bonus, learning C or C++ can take years.
On the perf side: I'm curious to know where Go sits now relative to C assuming you elide away all heap allocations in your inner loops. In the early days Go's codegen was based on plan9's simple and simplistic C compiler's back end. Things have gotten much better since then and to my knowledge it's within striking distance of C. But I could be wrong.