Operations | Monitoring | ITSM | DevOps | Cloud

Observability has become a core part of running Ruby applications at scale. Knowing how your app performs — from request latency to background job execution — helps catch slowdowns early and improve reliability. This blog walks through some of the most useful APM tools for Ruby in 2025. Each section highlights what the tool does well, where it fits best, and what kind of visibility it brings to your application's performance.

In any type of software that involves the movement of data or information, there is a pressing need to make the passage of data secure. One way of achieving this is by authentication. You must have experience authenticating API calls or other data streams. In modern systems, where even a small mishap can wreak havoc and you might wake up to a $$$ bill the next day, we should do whatever is within our capacity to secure our systems.

Every millisecond your application takes to respond can decide whether a user stays or leaves. But here’s the catch, you can’t improve what you can’t see. Behind every slow page load, failed API call, or random spike in latency lies a story your application is trying to tell. Application Performance Monitoring (APM) is how you listen to that story.

I'll start this, the third and final entry in my series on APM and Observability, which was originally inspired by my contribution to an APMdigest article, by once again pointing out that APM tools can be built with observability in mind. Many are, in fact. And the ones that aren’t don’t turn into a different type of tool. In my experience, it's more that there's a difference of mindset.