Systems | Development | Analytics | API | Testing

Engineering organizations building modern API-driven systems have different priorities when it comes to their API management solution. These priorities will drive design decisions about the deployment of various components for API gateways. Some organizations are looking to optimize compute resource utilization, helping to control costs or reduce operational toil.

Digital transformation has been a buzzword for quite some time, but the COVID-19 pandemic has accelerated the need for organizations to adopt digital solutions. As we enter a new year, it’s worth taking a closer look at the top digital transformation trends that will shape business strategies in 2023. We’ll explore six key trends that will help organizations stay ahead of the curve and achieve digital transformation success.

Kong Konnect is a powerful SaaS-based API lifecycle management platform that provides a fast path for people looking to get started with Kong API Gateway. For existing users of Kong’s open-source gateway, it offers a way to rapidly take advantage of a scalable, highly-available architecture while upgrading to an Enterprise-class feature set and support options.

Wondering what’s new in Kong Konnect? In this roundup, we’ll highlight some of the new capabilities and expansions in Kong Konnect, including portal role-based access control (RBAC) API, OAS validation plugin, and support for Kong Gateway 3.2. Read on to learn more.

We’re happy to announce the general availability of Kong Enterprise 3.2. In this release, we’ve taken significant steps to ensure the smooth and reliable operation of our API management solution. In Kong Enterprise 3.2, we’ve delivered key functionality for customers that operate Kong Enterprise in a hybrid environment in order to further enhance its reliability. Specifically, we’ve expanded Kong Enterprise’s capabilities in the following areas.

A Kubernetes preview environment is an isolated environment that allows developers to test their code at any time without worrying about how others may be affected. While implementations and use cases may vary, simulating a production environment as closely as possible is the main goal. Imagine you’re part of a team developing a complex API, and you’ve been tasked with adding a new endpoint that relies on features within the codebase currently being optimized by one of your team members.