Systems | Development | Analytics | API | Testing

In today’s digital landscape, maintaining a smooth user experience is essential. Websites and applications are expected to perform reliably and quickly, with minimal interruptions. One effective approach to enhancing user experience is synthetic monitoring, which uses simulated transactions to test performance. This article will delve into how synthetic monitoring improves user experience and highlight its benefits, along with code examples for implementation.

Took me years to finally get a Roomba (those robot vacuums from iRobot that have been around since 2002). I was pretty skeptical about how well it would clean and how smart and autonomous it really was. My wife was on board on the benefits from the start, but I needed some convincing. After plenty of back-and-forth (and my wife’s persistence), we went for it. Honestly, the benefits weren’t obvious to me from the start.

Enjoy a love letter to Selenium from a veteran Saucer.

Developer Experience (DevEx) is a general term that encompasses all of the interactions a developer has with their work environment. The tools that a developer uses, the processes they employ, and even the organizational culture, all play a role in establishing a great Developer Experience – or, unfortunately, a bad one.

Combining Artificial Intelligence and human intelligence in testing becameessential for delivering high-quality products quickly and efficiently. AI excels at automating repetitive tasks, analyzing vast datasets, and improving test coverage. Humans, on the other hand, bring creativity, critical thinking, and the ability to handle complex scenarios that machines can’t easily navigate. Together, they form a powerful synergy that enhances speed and accuracy in testing but also brings challenges..

Part 1 of this two-part blog serves as the foundation, highlighting the critical role that quality engineering (QE) must play in addressing the business risks associated with the accelerating adoption of artificial intelligence or AI-powered software.

The success of a product hinges on more than innovation; it depends on flawless performance.

The software testing market size was valued at USD 51.8 billion in 2023 and is projected to grow at a CAGR (Compound Annual Growth Rate) of over 7% between 2024 and 2032.