Far too many small businesses, especially those without internal digital marketing teams or those working with external marketing professionals or agencies, overlook one of the most critical aspects of a well-rounded SEO program: data-driven SEO. According to a recent Databox research, 67% of businesses handle content marketing and SEO internally, yet many may not be fully leveraging data to optimize their efforts.

Over the past month, our primary focus has been on fixing bugs (you can check our Wiki for details on those), however, we do also have some new functionality to offer - the ability to apply labels not just to tests, but to test runs as well, as well as some other improvements.

Over the last decade, data has been hailed as the new oil, the new gold, the new currency, the new soil, and even the new oxygen. All these comparisons drive home the same point: data is important. If you’re running a business today, you need data for informed decision-making and strategy development. However, reliably extracting this data is a constant responsibility.

Black Friday is when eCommerce sites face their toughest critics: deal-hunting shoppers with zero patience for glitches. Were you aware that 47 of visitors anticipate a website to finish loading within 2 seconds? Even more concerning, half of the visitors will leave a sluggish website and switch to a competitor. One crash during busy times can lead to significant financial loss and permanent harm to your brand's image.

Business leaders are worried that despite their fervent enthusiasm for building innovative solutions, they haven’t been able to explore even half of the possibilities that digital has to offer. This anxiety has made CXOs desperate to associate with keywords like Generative AI, multi-cloud, SaaS, and more. However, accommodating these big technologies in a rush often comes at the cost of quality.

Today’s energy systems face a critical challenge: they often operate in isolation, with little real-time communication between key components like wind turbines and transformers. This lack of connectivity leaves gaps in performance optimization, predictive maintenance, and seamless grid management. With no existing technology robust enough to bridge these divides, the sector remains vulnerable to disruptions and inefficiencies.

AI is becoming a part of our everyday lives, and in the software testing industry, it is starting to show its impact as well. Traditional testing methods can often happen at a later stage of the development life cycle, which may present challenges for meeting the demands of modern software delivery. This is where shift-left testing comes to shine. This testing methodology has become one of the most used strategies for delivering high-quality software without missing bug findings along the way.

App Center, a popular CI/CD platform from Microsoft, announced it will close its doors on March 31st 2025. This has left many mobile developers and teams looking for an alternative. Probably the most affected is the React Native community who have relied on App Center because of its OTA updates with CodePush.

JSON, which stands for JavaScript Object Notation, is a lightweight data-interchange format that offers a way to store and exchange data that is simple to read and write. It can be viewed as a format for organizing data so that different programs can understand it. It is frequently used for transmitting data in web applications between a server and a client. JSON logs are log entries that are formatted in JSON.

Today’s software testing trends show the growing demand for more efficient and automated API testing. Manual testing is not only time-intensive for internal testing teams, it can also lead to poor customer experiences. When manual testing processes cannot proactively discover issues, your customers may inevitably be the ones finding them. Many of the current test automation solutions today focus on the UI, while most API-level testing is still done manually.