Announcing Kong 1.0
Nearly four years ago, we open-sourced Kong and made it available to the world. Since then, Kong has been downloaded over 45 million times, been deployed in production at some…
Join the First-Ever Kong Community Call
We’re excited to announce that we’re starting the Kong community call on September 25th at 10 a.m. Pacific Time, and we’d love for you to join us! What is the…
Optimizing the Prometheus StatsD Exporter for Cloud Scale
Kong Cloud has been using StatsD and Prometheus heavily in monitoring and metrics collecting. In this blog post we discuss the use case of StatsD and Prometheus on Kong Cloud, the performance problem we found, and the way we proposed to solve it.
Introducing Kong Support for Service Mesh Deployments
Earlier this month, I shared some thoughts about service mesh as a deployment pattern versus a new technology and why traditional API management solutions can’t keep up with service mesh…
Enabling Tracing with Zipkin – Kong CE 0.14.1 Feature Highlight
By using the Zipkin plugin to measure latency, Kong users can identify issues within their services and expedite debugging.
Service Mesh – A New Pattern, Not A New Technology?
As CTO of Kong, and an active participant in these conversations, I have noticed a common misconception about what service mesh is. In the hope of dispelling confusion and advancing discussions, I want to unequivocally state the following: service mesh is a pattern, not a technology.