Integrate Fivetran into your infrastructure-as-code development.

The new tools offer improved usability over the REST API for developers in Go.

Just under one year ago, we launched version 1.0 of our Kong Ingress Controller (KIC). That was a huge milestone for us here at Kong, and we know it was for you – Kong Nation – as well. Since then, with the help of our community, we’ve merged over 300 new features and bug fixes and have started to enter a new era of KIC: version 2.0. Prior to releasing KIC 2.0, we want to make sure to incorporate community and customer feedback, so we are announcing the KIC 2.0 Beta.

September 1, 2021 — Testlio, the originator of networked testing, today announced version 3.3 of its Platform. Testlio 3.3 introduces multiple new features and capabilities. While the new version provides many client benefits, several important features support freelance testers, the driving force behind Testlio’s business.

August was a month with multiple vacations in our team, but it didn’t make our work lag. Some important changes were made last month and we are glad to announce how we improved our tool recently and what you can do to make your Loadeo tests even better, more relevant and insightful.

As we recently discussed, many of us are still lost in the darkness, grasping for a log line to shed some light on the issue we are trying to troubleshoot. Many of our customers and colleagues have shared the following challenges with us: But what if we didn’t have to make such a choice? What if we could easily and efficiently switch on exactly the logs we needed, without hurting our application?

We are happy to announce a new major release of Kuma, and a new major release of Kong Mesh built on Kuma! Kuma 1.3 ships with 10+ new features and countless improvements. Kong Mesh ships we enterprise capabilities for large scale service mesh deployments. We strongly suggest to upgrade, in order to take advantage of the latest and greatest when it comes to service mesh.

In our modern world, accelerating the process of extracting insights from data is a complex challenge. Exacerbating this task are colossal data volumes, the expansion and use of multiple cloud platforms, and the increasing demands for self-service in a way that maintains compliance. Enterprises attempting to tackle the problem encounter various forms of friction everywhere they turn.