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The Dulin Report

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On the role of Distinguished Engineer and CTO Mindset Apr 27, 2025 The future is bright Mar 30, 2025 My giant follows me wherever I go Sep 20, 2024 On Amazon Prime Video’s move to a monolith May 14, 2023 One size does not fit all: neither cloud nor on-prem Apr 10, 2023 Some thoughts on the latest LastPass fiasco Mar 5, 2023 Comparing AWS SQS, SNS, and Kinesis: A Technical Breakdown for Enterprise Developers Feb 11, 2023 Why you should question the “database per service” pattern Oct 5, 2022 Stop Shakespearizing Sep 16, 2022 Monolithic repository vs a monolith Aug 23, 2022 All developers should know UNIX Jun 30, 2022 Scripting languages are tools for tying APIs together, not building complex systems Jun 8, 2022 Java is no longer relevant May 29, 2022 There is no such thing as one grand unified full-stack programming language May 27, 2022 Best practices for building a microservice architecture Apr 25, 2022 In most cases, there is no need for NoSQL Apr 18, 2022 What programming language to use for a brand new project? Feb 18, 2020 TDWI 2019: Architecting Modern Big Data API Ecosystems May 30, 2019 Returning security back to the user Feb 2, 2019 Microsoft acquires Citus Data Jan 26, 2019 Adobe Creative Cloud is an example of iPad replacing a laptop Jan 3, 2019 The religion of JavaScript Nov 26, 2018 Let’s talk cloud neutrality Sep 17, 2018 A conservative version of Facebook? Aug 30, 2018 On Facebook and Twitter censorship Aug 20, 2018 What does a Chief Software Architect do? Jun 23, 2018 Facebook is the new Microsoft Apr 14, 2018 Quick guide to Internet privacy for families Apr 7, 2018 Node.js is a perfect enterprise application platform Jul 30, 2017 Design patterns in TypeScript: Chain of Responsibility Jul 22, 2017 I built an ultimate development environment for iPad Pro. Here is how. Jul 21, 2017 Singletons in TypeScript Jul 16, 2017 The technology publishing industry needs to transform in order to survive Jun 30, 2017 Rather than innovating Walmart bullies their tech vendors to leave AWS Jun 27, 2017 Copyright in the 21st century or how "IT Gurus of Atlanta" plagiarized my and other's articles Mar 21, 2017 Emails, politics, and common sense Jan 14, 2017 Windows 10: a confession from an iOS traitor Jan 4, 2017 Collaborative work in the cloud: what I learned teaching my daughter how to code Dec 10, 2016 Don't trust your cloud service until you've read the terms Sep 27, 2016 I am addicted to Medium, and I am tempted to move my entire blog to it Sep 9, 2016 What I learned from using Amazon Alexa for a month Sep 7, 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 What can we learn from the last week's salesforce.com outage ? May 15, 2016 Why it makes perfect sense for Dropbox to leave AWS May 7, 2016 JEE in the cloud era: building application servers Apr 22, 2016 Managed IT is not the future of the cloud Apr 9, 2016 JavaScript as the language of the cloud Feb 20, 2016 OAuth 2.0: the protocol at the center of the universe Jan 1, 2016 Operations costs are the Achille's heel of NoSQL Nov 23, 2015 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 Ten Questions to Consider Before Choosing Cassandra Aug 8, 2015 Your IT Department's Kodak Moment Jun 17, 2015 Smart IT Departments Own Their Business API and Take Ownership of Data Governance May 13, 2015 We Need a Cloud Version of Cassandra May 7, 2015 Building a Supercomputer in AWS: Is it even worth it ? Apr 13, 2015 Ordered Sets and Logs in Cassandra vs SQL Apr 8, 2015 Exploration of the Software Engineering as a Profession Apr 8, 2015 What can Evernote Teach Us About Enterprise App Architecture Apr 2, 2015 Microsoft and Apple Have Everything to Lose if Chromebooks Succeed Mar 31, 2015 Where AWS Elastic BeanStalk Could be Better Mar 3, 2015 Docker can fundamentally change how you think of server deployments Aug 26, 2014 Infrastructure in the cloud vs on-premise Aug 25, 2014 Cassandra: a key puzzle piece in a design for failure Aug 18, 2014 Cassandra: Lessons Learned Jun 6, 2014 Things I wish Apache Cassandra was better at Feb 12, 2014

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.