Systems | Development | Analytics | API | Testing

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.

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.

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.

Analyzing logs in data pipelines is essential for maintaining system performance, troubleshooting errors, and ensuring compliance. Here's what you need to know: Why It Matters: Logs help identify bottlenecks, resolve errors, and optimize performance. They are also critical for audits and compliance. Challenges: High log volume, varying formats, and security risks make analysis complex. Solutions: Standardize log formats with timestamps, log levels, and metadata.

Innovation isn't a buzzword at ThoughtSpot; it's the lifeblood of our business. It’s woven into our culture, driving us to constantly push boundaries and deliver exceptional value to our customers, our partners, and our team. Recently, I had the privilege of sitting down with a powerhouse panel of senior functional leaders for an “Innovation Spotlight” session. Our goal? To share how bold thinking translates into real-world impact across the many different facets of our organization.

Testing consumes 20-30% of your development budget, yet some QA platforms still operate like it's 2015. While developers embrace AI to ship features in hours instead of weeks, QA teams struggle with manual testers, brittle scripts, and costs that spiral out of control. The numbers tell the story: Companies using AI-driven QA achieve 85% better coverage and 30% cost reduction. Test creation is now 80% faster.

The automation testing market has exploded to $33.13 billion in 2024 and is projected to reach $211.16 billion by 2037, driven by the relentless demand for faster software delivery and enhanced quality assurance. At the heart of this transformation lies automated test case management—a game-changing approach that's revolutionizing how development teams create, execute, and maintain their testing strategies.

As I recently transitioned to Qlik's Professional Services team to lead Advisory Services, I embraced a clear mission: to engage in high-level discussions with business stakeholders that drive faster value and enhance your return on investment (ROI). By employing a structured 10-step approach grounded in a repeatable agile methodology, we are actively enabling out customers to overcome challenges and achieve their strategic objectives.

Securing APIs requires managing who can access resources and under what conditions. Two primary models stand out: Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC). Here's the key takeaway: RBAC assigns permissions based on predefined roles, making it simple to manage in structured environments. ABAC evaluates multiple real-time attributes for dynamic, granular control, ideal for complex or evolving scenarios.

In the constantly changing landscape of software development, shipping features fast and consistently is a must. Automated testing is one of the central pillars that enable this agility. And for writing solid, scalable, and comprehensible automated tests, Python is a go-to for both developers and QA engineers alike.