Test automation distinguishes itself by making a difference via reducing expenses, boosting productivity, and lowering error rates. No development team, I’m sure, will reject the efficiency that a solid automation suite can establish during a typical development process. The most significant of these traits is that test automation is a collaborative and time-consuming effort.

Discover Go's unique approach to error handling! In this article, you'll master best practices with practical examples and learn how to wield the power of defer, panic, and recover to create robust and resilient Go applications.

Welcome to the world of API testing. If you’re reading this, you’re probably looking to learn the basics of testing APIs or wondering how and where to start. This article will help you understand more about APIs, what types of tests you need to perform, and how to execute them and what to validate as part of the testing process.

We’re happy to announce the release of Kong Ingress Controller (KIC) 2.9, in which we’ve taken significant steps towards solution extensibility, deployment flexibility, and lowering the cost of ownership. KIC now offers a number of features that we think you’ll be excited about: Here are the details about each of these features.

While larger companies generally have the budgets to build a software development team and continuously expand upon it through training and new hires, the average company doesn’t have the same luxury. With that said, IT outsourcing is a growing industry and there are plenty of pros and cons.

Traditionally, manual test management and automated testing generate independent quality reporting data that has to be either manually integrated in spreadsheets or programmatically via scripts and reporting tools. This process takes valuable QA time away from actual testing and can also create inconsistency and inaccuracy when reporting on release readiness due to both the lag time in combining data from both sources and general human error.

Every engineering leader wants to build a high-performance team that can set the standard for velocity, quality, and innovation. Yet, to do that, you need to focus on creating a culture of continuous improvement where everyone in the team is committed to learning and growing.

Data movement is an essential aspect of modern computing, as it involves the transfer of data from one location to another. This process is critical for data processing, storage, and analysis, and it can be performed in various ways, including network transfers, file transfers, and memory transfers.

Data management in the modern enterprise requires skill and stamina. With the mountainous rise in data volume and the complexity of managing disparate data sources across a wide variety of legacy systems and hybrid cloud environments, it can seem virtually impossible to successfully climb past enterprise data obstacles to success. However, data fabric technology eliminates some of those obstacles. Is it the answer for your data strategy?