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The Dulin Report

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Strategic activity mapping for software architects May 25, 2025 Book review: Clojure for the Brave and True Oct 2, 2022 All developers should know UNIX Jun 30, 2022 Automation and coding tools for pet projects on the Apple hardware May 28, 2022 Tools of the craft Dec 18, 2021 Node.js and Lambda deployment size restrictions Mar 1, 2021 What programming language to use for a brand new project? Feb 18, 2020 Returning security back to the user Feb 2, 2019 A conservative version of Facebook? Aug 30, 2018 Facebook is the new Microsoft Apr 14, 2018 Quick guide to Internet privacy for families Apr 7, 2018 Copyright in the 21st century or how "IT Gurus of Atlanta" plagiarized my and other's articles Mar 21, 2017 Windows 10: a confession from an iOS traitor Jan 4, 2017 Don't trust your cloud service until you've read the terms Sep 27, 2016 Why I switched to Android and Google Project Fi and why should you Aug 28, 2016 In search for the mythical neutrality among top-tier public cloud providers Jun 18, 2016 Files and folders: apps vs documents May 26, 2016 IT departments must transform in the face of the cloud revolution Nov 9, 2015 Top Ten Differences Between ActiveMQ and Amazon SQS Sep 5, 2015 What Every College Computer Science Freshman Should Know Aug 14, 2015 The longer the chain of responsibility the less likely there is anyone in the hierarchy who can actually accept it Jun 7, 2015 My Brief Affair With Android Apr 25, 2015 Why I am Tempted to Replace Cassandra With DynamoDB Nov 13, 2014 Software Engineering and Domain Area Expertise Nov 7, 2014 Eminence Grise: A trusted advisor May 13, 2009

What programming language to use for a brand new project?

February 18, 2020

Try as I might I can't bring myself to like JavaScript. In a debate with a colleague, I was asked, "If not JavaScript, what language would you use if you had to start over?"

If someone asked me that question 3-4 years ago, I would have likely said Java. At that point in my career, I spent some solid fifteen years building enterprise applications in Java, and I was perfectly happy with it.

The rise of Node as an enterprise platform forced me to adopt JavaScript for a good chunk of my work. My verdict on JavaScript is simple: I believe that the corporations who have chosen to use it as an enterprise application platform will pay for their mistake dearly in the years to come. I no longer feel it is a platform suitable for large complex applications.

There are situations where there is no choice of a programming language platform. For example, making native applications for iOS is best done in Swift. JavaScript is the only viable platform for interactive web applications.

In the past three years, I have been doing more and more of my work in Golang. If I had to pick a language for backend microservice development (which is where 99% of my career has been), I would now gladly choose Go.

Cross-platform nature of Java has not been relevant for at least a decade now

Java's biggest selling point used to be platform independence: "Write once, run anywhere." The reality is that in my career, I don't think I ever needed to run my software on anything other than a Linux x86 server.

The problem of portability has long been solved by containers, like Docker. Therefore, it is no longer relevant for compilers to produce cross-platform bytecode and require a complex virtual machine to run it.

It turns out that JavaScript is not that simple

I feel that JavaScript was forced upon me by management types who perpetuated myths about its simplicity.

In JavaScript, there is an infinite number of ways to do the same task. The resulting code is borderline unreadable. Developers may not even find bugs long after the system is in production.

Pointers aren't that complicated

Developers have been building applications in Objective-C for iOS, and pointers have never been an issue. In Java, just about everything is referenced via pointers. The real problem with pointers is knowing when to deallocate memory.

Java solves it with a complex and resource-intensive garbage collection mechanism. Go also relies on garbage collection, but optimizes it for low latency.

Concurrency in Java has become too bloated with too many ways to shoot oneself in the foot

Go concurrency is vastly simpler than Java yet more flexible than the Node.js model.

Back in the 1990s, Java supported the concept of "green threads," but they were ridiculously inefficient. The community was ecstatic when Java began to support native operating system threads.

Go does green threads far more efficiently, resulting in much better utilization of multi-core servers.

Object orientation isn't that critical

Go is not object-oriented. In practice, there is rarely a reason to use more than three layers of inheritance.

Despite not being object-oriented, Go supports inheritance by composition, which is good enough for most projects.

Deployment package size matters

Both Java and JavaScript are dynamically linked and require the final deployment package to have all of the dependencies. If your code is using one function out of hundreds offered by a module, you need to include the entire module in your deployable package. A complex application can reach hundreds of megabytes in size, not gigabytes.

Large deployable packages are costly when used with modern-day containers and serverless functions. Large containers take longer to bootstrap, longer to build, longer to deploy. Large functions have long wake up times and may not work at all as they exceed the maximum footprint enforced by the cloud provider.

Go, on the other hand, is statically linked and produces a single executable binary all dependencies in it. A complex application can be no more than a few megabytes in size. It is quick to start, ready to run, and exerts little pressure on computing resources.

Final thoughts

There is little reason not to use Go for a brand new application, or brand new services for an existing application. It's a platform ideal for cloud-native applications due to its compactness and efficiency.