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In all seriousness, I also wonder the same thing.

In all seriousness, I also wonder the same thing. The JVM is often praised for being the gold standard, because it is. It is superior in every way to anything else, with Erlang's a distant second. The article mentioned that due to the asynchronous nature of goroutines, instrumentation and metrics publishing was not a problem. I do not think this just applies to Go, but any primarily async languages -- like node.js, etc. However, this is still not close the JVM's incredibly sophisticated support for metrics and insights for your running applications. Re: Go, I can see the value in having concurrency built-in, but I see http://www.paralleluniverse.co/'s libraries like Quasar and Comstat ultimately becoming the defacto standard in modern day Java programming. With Java8 in rapid adoption and the upcoming changes in Java9, alongside pragmatic languages like http://kotlinlang.org with incredible tooling out of the box, Java is looking like a mighty fine eco-system to get started with. That being said, it is extremely frustrating developing on a mature and advanced eco-system. As an engineer transitioning to Java from Python, I constantly have a lingering feeling that I'm not going to deliver idiomatic code and I don't know the best way to do things. Since I'm not aware of why design decisions were made in a certain way, probably to preserve backwards compatibility, I always ask myself why this was the best way and it's a bit difficult to research why. I also needed to familiarize myself with various patterns and Java's idiosyncrasies (1 public class per file, for example). My 2cents.

Posted by mahmoudimus on Jun 10, 2015, 8:34 PM

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In all seriousness, I also wonder the same thing.

mahmoudimusJun 10, 2015, 8:34 PM

In all seriousness, I also wonder the same thing. The JVM is often praised for being the gold standard, because it is. It is superior in every way to anything else, with Erlang's a distant second. The article mentioned that due to the asynchronous nature of goroutines, instrumentation and metrics publishing was not a problem. I do not think this just applies to Go, but any primarily async languages -- like node.js, etc. However, this is still not close the JVM's incredibly sophisticated support for metrics and insights for your running applications. Re: Go, I can see the value in having concurrency built-in, but I see http://www.paralleluniverse.co/'s libraries like Quasar and Comstat ultimately becoming the defacto standard in modern day Java programming. With Java8 in rapid adoption and the upcoming changes in Java9, alongside pragmatic languages like http://kotlinlang.org with incredible tooling out of the box, Java is looking like a mighty fine eco-system to get started with. That being said, it is extremely frustrating developing on a mature and advanced eco-system. As an engineer transitioning to Java from Python, I constantly have a lingering feeling that I'm not going to deliver idiomatic code and I don't know the best way to do things. Since I'm not aware of why design decisions were made in a certain way, probably to preserve backwards compatibility, I always ask myself why this was the best way and it's a bit difficult to research why. I also needed to familiarize myself with various patterns and Java's idiosyncrasies (1 public class per file, for example). My 2cents.

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