Systems | Development | Analytics | API | Testing

Telemedicine app development is a trend that has taken the digital healthcare world by storm! And, we’re not joking about this because it’s the reality of today, tomorrow, and beyond the healthcare industry! So, what do you imagine when you think of telemedicine in general? A consultation app? Possibly some kind of a tidbit related to new offers or something like that? However, we can assure you that there is so much more to telemedicine than meets the eye.

When we committed to using Katalon for all our internal testing, we didn’t do it because it was perfect. We did it because it wasn’t. We wanted to see what would happen if we pushed the platform to its limits—used it not just in ideal conditions, but in the messy, nuanced, high-urgency workflows of a real QE team. No backup tools. No shortcuts. Just us, our product, and the problems we hadn’t yet solved. And what happened? We broke things. We hacked around limitations.

When Katalon decided to adopt its own platform internally, it reshaped the daily reality for every Quality Engineer on the ground. The tools we used, the way we collaborated, and how we measured success all changed. Some parts got easier. Others challenged our habits. But through it all, we came out with a clearer view of what a unified platform really means for testers. Here’s how the shift looked from the ground level.

Low-code automation testing is changing the way teams build and maintain tests. With less scripting, intuitive visual tools, and reusable components, testers can work faster and collaborate better, no matter their coding background. It’s no longer just for QA engineers. With modular low-code components, visual test logic, and hybrid test creation, developers, testers, and business analysts can all contribute to quality. The process becomes faster, more inclusive, and easier to scale.

Software teams have to move quickly, deliver perfectly, and be able to adapt to changes right away in today’s fast-paced world. The bar is high: regular updates, few bugs, and no downtime. Are you trying to do all of this by hand? That’s a sure way to get burned out and stuck. That’s where automation tools for DevOps come in. These tools don’t want to take our jobs; they want to make us stronger.

This is the second post in our series exploring the architectural innovations that make Confluent Cloud more cost-effective at scale. Building on our previous post about the operational complexities of Apache Kafka and our cloud-native architecture's solutions, we'll now dive into how we solved a core challenge for any data streaming workload: high cloud networking costs.