Systems | Development | Analytics | API | Testing

Learn everything you need to know about creating a test automation strategy from Marcus Merrell, from designing and implementing a scalable test automation operation to overcoming common challenges.

Modern organizations generate large amounts of logs from multiple data sources, creating significant challenges when it comes to analyzing the data and extracting useful insights at scale. Data scientists can tackle these challenges with help from Mosaic AI, which helps Databricks users build and deploy artificial intelligence (AI) and machine learning (ML) solutions.

The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.

In the dynamic world of software development, ensuring that applications remain stable and functional as they evolve is crucial. This is where regression testing plays a vital role, especially when employing powerful test automation tools like Playwright. For software developers and QA professionals, creating a detailed test plan for regression testing using Playwright can significantly enhance the efficiency and reliability of testing processes.

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!

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.