Systems | Development | Analytics | API | Testing

Kong Konnect is Kong’s infrastructural SaaS solution. We run the control planes and API management applications for the data planes (API gateway and mesh) that are run by our customers to power their APIs. Some of the most critical traffic in the world goes through these data planes. The criticality of Konnect and therefore our customer’s uptime expectations of Konnect are very high.

In the process of developing software, designing and performing testing is a critical aspect of ensuring high software reliability, improving software quality, and deploying strong fit and function. The shift-right testing approach moves testing to later in your production cycle as a way of doing this with more accurate user data and post-production testing practices. Also known as “testing in production,” with shift-right, you test software after it has been deployed.

In the process of developing software, designing and performing testing is a critical aspect of ensuring high software reliability, improving software quality, and deploying strong fit and function. The shift-right testing approach moves testing to later in your production cycle as a way of doing this with more accurate user data and post-production testing practices. Also known as “testing in production,” with shift-right, you test software after it has been deployed.

Today — alongside the announcement of Kong Insomnia 10.2 — we're excited to introduce two new Kong Insomnia enterprise capabilities that will improve user management at scale across every organization. These new features are available to use for every existing enterprise customer, and they complement existing advanced user management capabilities like EE SSO and SCIM. Let’s take a look at each of the new capabilities.

Kong Insomnia 10.2 is now generally available with some exciting new features and improvements! As usual, we strongly recommend upgrading to this latest version and to always use the most recent release of Insomnia.

You’ve probably heard of generative AI, which uses deep learning models to simulate human decision-making by processing large amounts of data, and then responding with pertinent new content. Since the arrival of ChatGPT in 2022, generative AI has come a long way — but now there’s another technology on the scene that could further revolutionize the capabilities of AI. Read on to learn more about agentic AI and how it could transform the business landscape.

In the world of software development, terms like "staging" and "production" get thrown around a lot. But what do they mean? Why do we need them?