Where is golang used

As hardware continues to get sophisticated over time, the manufacturers keep on adding cores to the system to ensure better performance. When handling such an increasing number of cores the system needs to maintain database connections through microservices, manage the queues and maintain caches. A vast majority of programming languages lack concurrent execution when working with multiple threads and so, they often slow down the pace of programming, compiling and execution. This is where Go comes as the most viable option to support multi-threading environment and concurrency both.

Go as a language was conceived at a time when multi-core processors became widely available across sophisticated hardware. Naturally, the creators of Go gave particular focus on the concurrency. Go works with goroutines and not threads and this allows this language to concurrently handle a huge number of tasks at one go. Hardware processors only understand binaries, and so any application built with Java or JVM language is interpreted into binaries.

This interpretation at the hardware level actually adds to the required time for execution. This is where Go comes as an ideal solution that brings the best of both worlds.

On the other hand like Java for allocation of variables, it uses garbage collection and the object removal. This makes Go as an ideal language to work within any hardware system.

Simplicity is one of the core advantages of embracing Go. Being a highly sophisticated language with rich feature set Go stands taller among the equals simply because of the simplicity and straightforward approach. When building an application with JavaScript many of us experienced the complexities of choosing a testing framework through a series of analysis. The same difficulty arises when you need good profiling for evaluation. Repeat after me, Go is not a replacement for C.

It never will be. Yeah Go, eliminates a lot of bugs by using a garbage collector. Only an idiot would use Go for performance heavy projects like OSes or game engines. The only way to compare performance with java is to run it several times in a single startup. Furthermore the JIT optimizes the code on the fly through each run until it gets marked as no longer optimizable. Plus, the test you used is not even going to be the same algorithm every time.

So you are essentially comparing regular expression implementations, and without the multiple run thing I mentioned, making it apples and oranges. You should know that GO also runs under a virtual machine, with garbage collection, etc. So it is entirely to compare to include the vm initialization costs when comparing timing and resources. Go programs are compiled ahead of time to native machine code or JavaScript or WebAssembly, for some variant implementations. Apache Spark is not written in Java.

It is written in Scala. Yes, it runs on the JVM, but it is still a different language. Misleading Article from just another go fanboy, comparing things which fail in real world. I like Go, but your statement about regex-redux speed is a bit misleading.

I submitted a pure-go program for regex-redux. Unfortunately, almost all of the points made here have either been contradicted, or are controversial to say the least. This would be more believable if the article was a bit more balanced.

Really simple to adobpt. Things like excluding generics was by design to keep the language simple. The verbosity adds clarity for future maintainers of unkown skill level. I learnt Nim first which I really fond of but Go won me over with the established eco system. You have to work pretty hard to generate a crash in our application due to a null pointer or writing to a memory location that you have previously feed. A large number of common programming errors that cause such conditions are caught at compile time.

Sleep to synchronise goroutines. There are chan and the sync module in golang for that. Does package create a namespace for the while file, or just until a new package statement? Seems somewhat C and python like. So many questions! As far as I remember, all dependencies are expected to be available as source code.

Let me come at it from a techie but non-developer standpoint. Got in to Golang about a year ago and much like Java, I like the strong typed ideals and I like the verbosity.

Every language has pros and cons. I read this blog post to have something to convince me to learn Go. But the bias in the article drove me off completely. Less performant solution like C? By the way, the blog post does not mention the low memory footprint and fast startup time of Go applications inside containers.

These properties really impressed me about Go. I started learning Go but then heard that generics will be introduced and few more changes. I stopped learning it. Seeing all, i guess Go is going Java way. They want to do everything on the earth. You might be happy to hear that you are wrong about Go going the Java way. Since Go 1. Generics are an exception to the rule, and it took years! The arrogance and ignorance by a few developers here is astonishing. Accept what Go is, where it has its strengths and weaknesses and use it accordingly for the job where it is the right fit.

Go is a nice tool for some jobs, embrace it if you enjoy learning new programming languages, but stop crying that a certain programming language is so much better, such a debate is pathetic. Concurrency can be notoriously difficult to get right, but fortunately, the Go open source programming language makes working with concurrency tractable and even easy.

Your email address will not be published. Save my name, email, and website in this browser for the next time I comment. And its code is relatively easy to understand. Learning Go comes with a big payoff in terms of power and versatility. It will teach you enough Go to be able to write your own tools.

Learn faster. Move faster. Go is an open-source programming language focused on simplicity, reliability, and efficiency. Today, Go is used for a variety of applications like cloud and server side applications, DevOps, command line tools and much more.

Python and Go both have a simple syntax and first-party support from all major cloud providers. Both Go and Python are easy to get started with for beginners and are relatively easy to learn. Read more! Get more insights, news, and assorted awesomeness around all things cloud learning.

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