Workflow

Why I Believe Rails is Still Relevant in 2019

Why You and Your Team Should Consider Ruby on Rails  

You might have read the infamous blog posts titled “Rails is Dead”, but I have seen development teams flounder over and over again when they try and reinvent the wheel using NodeJS on the backend. Rails is Scalable Despite the negative press, I’ll argue rails does scale. After developers at Twitter have spoken at length about their issues with Rails performance, it’s easy to get the wrong idea. Rails is not the fastest framework in the world… but I will argue that performance is the last thing you should worry about when you want to scale. more»

21 Commandments for Greenfield Development

A Developer's Guide to New Projects  

The “greenfield” project is known by developers as a productivity Nirvana. It is a beautiful place where there is no legacy, no bugs and endless possibilities. It is also littered with mines. I’ve recently seen a number of anti-patterns around the creation and early growth new projects, and thought I’d summarize the anti-patterns I’d seen in the past as a guide for developers to avoid these common pitfalls. 1. Get a Pipeline in Place Early Run your tests automatically. more»

Surgeons Who Won’t Sew

And What It Means for Your Engineering Team  

Then she gets up and leaves. The patient is still on dialysis, still bleeding in places, and their internal organs are still on show for everyone else in the room. The patient’s immediate future is secure, but eventually they are still going to bleed to death. As a DevOps engineer, perhaps one of the best things you can do for an engineering team is to empower them to write and utilize tests. more»

Your Production Environment Isn’t Always So Important

The Cost of Moving Slowly  

Until you have found product-market fit, your production environment is often just another test environment. It’s not testing your code, it’s testing your customers. At a previous startup company, we had a few hundred thousand users. Not all that many, but enough to get some interesting data and be in a position to use it to optimize the business. We had previously built a recommendation engine in Elasticsearch which all our users were piped through, and we user it to provide daily recommendations based on our most recent data. more»