In my opinion, Java as a web language is good when you don't need to really understand what's happening (like in low-traffic situations). If concurrency isn't an issue, then the massive amount of libraries can help you a lot.

In high-traffic environments, that ignorance punishes you. I've always felt Java and the JVM are of the mindset that you need a Ph.D. to even understand how it works or how to configure it, and if you can't get it, then you're just a bad programmer.

You need to know if you're blocking threads, if there's memory contention, and if libraries you pull in are using the forkjoin common pool (which you're likely using as a default threadpool). And when something blows up, finding the reason (even for any of the above issues) is really tough. You can use flight recorder, heap dumps and gc logs all day, but good luck navigating it all unless you're a genius. I've seen too many devs end up shrugging and hoping the issues are transient.

Even figuring out proper threadpool usage isn't straightforward. Look at the number of concurrency abstractions just to model concurrency in your system: https://www.youtube.com/watch?v=yhguOt863nw. It's ridiculous.

Lots of large tech companies "seem" to "make it work." But if my experience is at all similar, they're just relying on a handful of Ph.D.'s to hold the hands of the rest of the company when it comes to troubleshooting.

Part of the reason I fell in love with Elixir/Erlang and the BEAM is that it provides a simple (actor) concurrency model (with a single concurrency primitive, a process) and guardrails (time-slice scheduling) to prevent libraries from shooting you in the foot. OTP's observer makes finding bottlenecks a breeze.

For the web, taming concurrency feels way more important than any cpu-crunching perf gains the JVM can give you. I'm too stupid for the JVM; I'll stick to tools that take away numerous categories of complexity and get me closer to mastering my system.