Systems | Development | Analytics | API | Testing

In today’s fast-paced world of software development, the pressure to deliver high-quality releases quickly is stronger than ever. Teams are pushing code changes to production multiple times a day, and expectations around stability, security, and performance haven’t gone down—in fact, they’ve gone up. Manual testing simply can’t keep up with the speed and complexity of modern deployment cycles.

You’ve just wrapped a long sprint. Deadlines are tight, and QA is struggling with flaky test runs. Your team debates the age-old question should we stick with Selenium or finally migrate to Playwright? It’s not just about speed anymore; it’s about control, visibility, and smarter automation. The truth is, both Playwright and Selenium have their strengths but only one fits your product, pace, and team DNA.

Amazon API Gateway and AWS Lambda are widely used for deploying and running scalable APIs or applications in the cloud. While they offer powerful capabilities for deploying and scaling APIs, designing the API or maintaining visibility into performance and reliability can be challenging without the right tools in place.

Recently I had the joy of talking to Daniel Knott, a well-known YouTuber and QA leader in the Healthcare testing space. He shares a lot of his knowledge and experience on his channel as well as his blog called Adventures in QA. In this interview, we talked about how Daniel found himself in the QA world, how he applies automation testing in his day-to-day work, and the implications of AI for Healthcare testing. Here are some takeaways from the discussion for you.

Agentic AI: autonomous, goal-seeking systems powered by large language models (LLMs) is rapidly transitioning from novelty to necessity. While developers are building impressive prototypes, many large enterprises remain stuck in pilot purgatory: mesmerized by potential, but unable to translate demos into durable systems that generate value at scale. Two leading visions frame the conversation: Each view highlights an essential dimension of the challenge but neither is complete on its own.

Hey, so you have been wondering why your favourite app sometimes feels like it sometimes stuck in slow motion, right? Well, keep your coffee aside because we are about to learn something that affects literally every digital experience you have, i.e. latency testing. In this blog, we are going to explore about latency testing and how it makes a bigger impact and why you should care about it. Latency is just one piece of the broader performance testing puzzle.

It has never been more critical to establish a solid foundation for regulatory compliance. Regulations govern a wide range of functions. Some of them are obvious, such as health and human services, patient data, medical devices, and credit payments. Some of them are less obvious, especially with the ever-changing definition of what constitutes private and identifiable data. This article provides an overview of regulatory compliance challenges and the hidden risks organizations face beneath the surface.

You know the feeling, you push a new feature, and your tests should catch any issues. But instead, they fail inconsistently, slow down your pipeline, or worse… pass when they shouldn’t. End-to-end testing is always a risk. That's precisely the reason why more teams are turning to end-to-end testing with Playwright. Unlike clunky legacy frameworks, the Playwright testing framework was built for speed, reliability, and cross-browser accuracy all out of the box.