As the digital and physical worlds converge, the businesses of varied sectors are experiencing a seismic shift. While businesses are rapidly changing the ways how they function, however, the increasing customer demands and expectations, are making the need for this shift lightning-fast. Digital transformation in manufacturing industry is a significant trend that is taking place at a rapid pace.

Data architecture is a structured framework for data assets and outlines how data flows through its IT systems. It provides a foundation for managing data, detailing how it is collected, integrated, transformed, stored, and distributed across various platforms. It also establishes standards and guidelines for data handling, creating a reliable and scalable environment that supports data-driven activities.

Debugging is a valuable skill for any software engineer to have. Unfortunately, most software engineers are not trained in it. And that's not just specific to developers going through boot camps; even in universities, we are not often taught and trained to use a debugger. My teachers and mentors were more interested in getting me to write programs rather than debugging them. If we are fortunate, debugging comes at the end of the semester, in a short, last session.

In this article, we'll talk about our experience implementing a design system at Kong. We'll go over the reasons why we decided we needed one in the first place, where we started, and how we got to where we are today. We'll also cover the technology we used and how it has transformed software development at Kong. Whether you have plenty of experience with design systems or are looking to get started with one, we hope you will find this article helpful and informative.

API testing is a vital part of the development lifecycle. In this comparison piece, you’ll compare Speedscale and Smartbear ReadyAPI and show where they stand in terms of API testing.

Delivering quality software is as much about the people behind the code as it is about building the software itself.

In this blog post we are going to look at using JMeter to support business testing in production. This is a slightly different topic to the one discussed in this post on testing in production. The one in the link above is around running your performance testing in production for reasons that are discussed in that post. This post is going to focus on how you can leverage your performance testing tools to support this activity, as discussed above we will focus on JMeter in some of the examples.

Gartner predicts that 70% of engineering teams will shift to "continuous quality" by 2026. But what is continuous quality, anyway?