When building apps with scale in mind, the fundamentals involve designing and developing applications in a way that allows them to handle increased user demand, larger data volumes, and growing functionality without compromising performance or stability. Scaling an application effectively requires careful planning, architecture design, and the use of scalable technologies. This blog will explore some key considerations and strategies for building apps for scalability.
I started authentik in 2018 as an open source hobby project but in 2022, with help from Open Core Ventures, I started Authentik Security, an open core company built around the authentik project.
Building a new startup is, unsurprisingly, quite different from building and maintaining an open source project. With the arrival of funding and the requirement to build a business that could sustain itself now and scale as the company evolved, I had to confront some of the technical choices I made when building authentik – in particular, the choice to build authentik using Python and Django.
The primary reason behind choosing these languages was simple: I knew them well and could write code fast. In retrospect, we know now there was a tradeoff. I was able to code faster but the language itself would eventually impose speed limitations. Python isn’t the slowest language out there but when compared to Node.js and other compiled languages like Go, its speed can seem like a big problem. And Django on top of Python makes it even slower.
And yet, I stand by the decision and as the company has evolved, I think it was a good one. In this post, I’ll explain why this decision was a net positive, the benefits and costs of choosing these languages, and the lessons we learned along the way.