Systems | Development | Analytics | API | Testing

Quality Assurance (QA) is the shield that protects from failure. It catches flaws before they become a critical danger for the company’s reputation and ensures that every system runs smoothly and securely. Software development moves quickly because innovation needs to compete with deadlines. In this world, one error means that big problems begin. When a bug appears, it can instantly crash systems, reveal private information, and quickly destroy public trust in companies.

Does your AI solution help maintain and write tests in an extensible way? If not, then it's not really helping.

Budgeting and planning are the backbone of your organization’s success. However, manual processes, endless spreadsheets, and disconnected systems can bog down your finance team, creating bottlenecks that waste time and divert focus from strategic growth. To stay competitive, you need a smarter approach—one that streamlines workflows, enhances accuracy, and maximizes ROI.

As we explore different methodologies for sorting data, we turn to the insertion sort algorithm. There are a number of reasons to like insertion sort! First, insertion sort is stable, which means that it does not change the relative order of elements with equal keys. It's also an in-place algorithm, meaning that it does not create a new array to store the sorted elements. Finally, insertion sort is a pretty simple algorithm to implement, as you'll soon see!

The typical data engineer is balancing many priorities. In addition to the day-to-day tasks like pipeline construction, connecting sources, and establishing data trust and governance, pressure is increasing to contribute to the organization’s bottom line. This may happen by unlocking the full value of the organization’s data or devising ways to accelerate business outcomes. One way to accomplish both is through data products.

Traveling today has become as simple as tapping a few buttons on your phone. Remember the days when getting a cab or rickshaw meant standing on the roadside, waving your hand endlessly, or negotiating prices? That struggle feels like a distant memory now. Thanks to technology, everything has changed, and the way we travel is one of the most noticeable transformations.

Earlier this year the Kong Konnect Analytics team was looking to leverage the stability and flexibility of our own Kong Gateway to handle the entire load of our Analytics ingest firehose. Almost all Konnect API traffic flows through a Kong Gateway and most of it has from the very beginning. For some legacy and differing protocol reasons, our Analytics ingest service was not included in our initial Kong Gateway configuration.

It is essential that you test sites and web applications to ensure their reliability, functionality, and user experience. Thanks to its rich API and impressive list of features, TestCafe has emerged as one of the most popular choices for automated end-to-end testing in Node.js. In this guide, you'll learn what TestCafe is, understand how it works, explore its features, and see it in action with a complete example. Time to become a TestCafe testing expert!

A comprehensive test data strategy should seek to improve the following areas: In this blog, we’ll dive into each of these areas, plus explore the solutions modern companies are using to tackle test data management at scale.