Did you know that 70% of mobile app users will abandon an app if it takes too long to load, while 57% will consider switching to a competitor after just 3-4 negative interactions with a company’s website or mobile app?

With major events like Black Friday, Cyber Monday, Christmas and New Year right upon us, it brings a plethora of opportunities for e-commerce businesses to significantly increase their sales. However, with this opportunity, there is also a greater concern that arises in the form of “whether your website can handle that outburst of traffic or not!”.

In the fast-paced world of software development, ensuring top-notch quality is a must. One approach that has gained significant traction over the years is Exploratory Testing. Unlike scripted testing, exploratory testing focuses on real-time discovery, creativity, and problem-solving. In this article, we will understand exploratory testing, its benefits, techniques, and how tools like Keploy can support this process. Let’s get started!

In the fast-changing landscape of mobile app development, delivering bug-free apps with a great user experience is essential. But crashes are inevitable, no matter how much developers try to avoid them. There are several mobile crash reporting tools that make the task of identifying, diagnosing and fixing these issues easy as pie.

A few years ago, I received a call from the Tesla service team advising me not to come for my car service—a savings of $600 and my time. Imagine my surprise. In over two decades of car ownership, no auto service had ever called me and asked me not to show up. The Tesla representative explained that the data from my car prescribed an action, or in this case, an inaction.

Composability is a growing trend in enterprise software development. It means designing your organization to be flexible so you can adapt to change in real time. Modularity lies at the heart of composability. Modular approaches have been around for decades, such as in service-oriented architecture (SOA) and microservices. But the rise of low-code platforms, cloud computing, and modern integration tools has made it easier to implement composable architectures at scale.

Recap: This is the last part of our four chapters: It’s been a long time coming, but we’ve finally arrived at the fourth and final installment of our blog series. In this series, we’ve been peeling back the layers of Apache Kafka to get a deeper understanding of how best to interact with the cluster using producer and consumer clients. At a high level, a fetch request is comprised of two parts: Let’s dive in.