Over the past ten years, Clubhouse and other innovative startups built software quickly. They started from scratch and blew past their incumbents. But the fact of the matter is that speed is no longer a differentiator. Everyone can move quickly. We’ve seen it as Facebook and Twitter quickly duplicated Clubhouse’s “innovative” functionality. Today, it’s all about agility—taking the momentum that you’ve already built up.
Often hailed as a game-changer, Kubernetes has altered the way that organizations deploy and manage their software, making the job of handling larger and more complex workloads easier. Yet, with its advantages of velocity and scale come new challenges, particularly in how developers approach debugging their code. The highly distributed nature of Kubernetes that makes it so effective for handling cloud-native software means that the traditional approaches to debugging are no longer applicable.
Adoption of service meshes like Istio is increasing. As a result, Speedscale has developed a webassembly plugin. We extended Envoy using Rust, and no changes are required to your Istio configuration. This allows us to leverage the same sidecars that you have deployed throughout your environment to inspect API traffic. Once we are listening through Istio, the typical Speedscale magic can take place. We can use the data to build integration/performance test suites and autogenerate service mocks.
At Koyeb, our mission is to provide the fastest way to deploy applications globally. We are building a platform allowing developers and businesses to easily run applications, a platform where you don't need to think and deal with the resiliency and scalability of your servers: a serverless platform. Ironically, a serverless platform is actually full of servers. As a cloud service provider, we operate the infrastructure for you and abstract it as much as possible.
A service mesh is a software infrastructure layer for controlling communication between services and usually tasked with handling all the network logic required to make microservice applications work seamlessly in a cloud-native environment. It’s the perfect solution to your communications problems.
Think back to when your development team made the switch to Dockerized containers. What was once an application requiring multiple services on virtual machines transitioned to an application consisting of multiple, tidy Docker containers. While the result was a streamlined system, the transition likely was daunting. Now, it’s time for another transformational leap: moving from a single set of containers to a highly available, orchestrated deployment of replica sets using Kubernetes.
Hello, everyone! Viktor Gamov, a developer advocate with Kong here. In this article, I would like to show you how to set up service connectivity using Kong Konnect and Kubernetes. I will deploy an application in Kubernetes, configure a runtime through Konnect and demonstrate some management capabilities like enabling plugins. Let’s dive right in!
When setting up Kubernetes for the first time, one of the networking challenges you might face is how to safely grant outside clients access to your cluster. By default, pods within a cluster can communicate with all other pods and services. You should restrict access to anything outside of that group.
