Systems | Development | Analytics | API | Testing

The expectations of users in the modern digital environment are ruthless. A smooth, user-friendly, and responsive online experience is no longer a competitive edge to be obtained; it is the standard for keeping customers. To design such experiences, Quality Assurance (QA) should extend beyond traditional functional testing.

Reason #7 to attend API Summit 2025? Learn more about Kong Konnect’s new approach to API Orchestration.

Three key trends are changing how organizations approach embedded analytics. Companies that recognize these shifts gain competitive advantages while others struggle with outdated strategies. Ramin Jahanbani has watched this transformation from the front lines. As Senior Divisional Vice President at insightsoftware Data + Analytics, he’s guided hundreds of organizations through analytics decisions over the past decade.

Data obfuscation offers a powerful solution to today's enterprise security challenges — and the stakes couldn't be higher. IBM reports that the global average cost of a data breach crossed $4.88 million in 2024. And 60% of the organizations we surveyed for our State of Data Compliance and Security Report have experienced data breaches or theft in non-production environments — up 11% from last year.

When working with web automation in Python, knowing how to get the current URL is essential. It helps you confirm where the browser is, catch unexpected redirects, and make sure your test steps behave as expected. The command driver.get("url") is what takes you to a page. But after that, how do you check if you're on the right one? That’s where driver.current_url comes in.

Today, Gartner released the first-ever Magic Quadrant for AI-augmented Software testing, and I’m very excited to share that Katalon has been named a Visionary!

Performance monitoring for Node.js has always been about two things: collecting the right telemetry and turning that telemetry into fast, confident action. With applications growing more distributed and expectations for reliability and speed rising, traditional dashboards and manual triage are no longer enough. For organizations running Node.js at scale, identifying performance bottlenecks, memory leaks, or CPU spikes can be complex and time-consuming.