Systems | Development | Analytics | API | Testing

It's Monday morning, and your team is about to walk into a nightmare: over the weekend, your web app broke in three different browsers. Checkout flows are getting stuck, animations are glitching, and support tickets are already stacking up. Traditional forms of testing would take forever to find the root cause of this catastrophe, and until then, your team cannot release it. But today, no team or developer has days to spare.

Katalon Studio 10.3 delivers a powerful set of enhancements designed to improve test automation efficiency, resilience, and reporting clarity. From mobile self-healing to a revamped email report template, this release is all about giving QA engineers smarter tools for faster, more reliable testing.

Turn quality into a strategic advantage—accelerate outcomes with Sauce AI.

Network performance is a very important aspect of digital communication that is greatly affected by latency. Having an understanding of how to test network latency is important as it promotes reliability and faster connections. In this blog, we are going to look at what network latency is and why it is important to know about it. We will also look at the various types of latency, the causes of network latency, and how to check, measure, and test it.

Assume that your enterprise just rolled out a major product update after weeks of development and testing. But within hours of launch, customers are already experiencing problems: checkouts are failing in Safari, logins break in Firefox, and the Android app crashes. What was supposed to be a significant milestone release becomes an expensive fire drill, resulting in loss of revenue and customer trust. This is the harsh reality for many enterprises in 2025.

Every QA engineer has felt the crunch: tighter deadlines, growing complexity, and the same old expectation that everything must work perfectly by release day. It’s not an easy balance. That’s why AI in software testing has become such a hot topic. It promises faster test case generation, smarter insights, and support with tasks that usually eat up hours of time. But let’s be clear: AI isn’t here to replace testers.

Testing is hitting its limits in speed, scale, and insight. AI-augmented and agentic systems can help but only if we adopt them intentionally. This blog series lays out a Crawl–Walk–Run maturity path for adopting agentic testing capabilities safely and strategically. We’ll show you how to move from assistive agents to coordinated systems without losing control or trust.

Every action you automate in Selenium starts with one thing: finding the right web element. That’s where locators come in. They guide Selenium to the exact button, input field, or text box it needs to interact with. Locators in Selenium are essential. Without them, you can't click a button, fill out a form, or verify if a message appears on the screen. They're the foundation of every test case you write. In this article, we’ll walk you through: Let’s get started!

These days, in the quickly evolving world of software, just executing automated testing is not sufficient. Real quality only results from what follows results analysis, pattern tracking, and insights from failure.Test reporting and analytics come into their own here. By converting raw test data into valuable insights, teams can catch flaky tests, pinpoint common problems, and make better decisions more quickly.