Sometimes using a graphical user interface isn’t enough to fulfill your daily tasks, especially when you start automating your testing routines. Imagine a scenario, when you perform a regression test on a piece of functionality every time you push a new release or merge your code to a particular branch. It would be a nightmare to manually run those tests every time, especially if your team is rather large and you’re practicing continuous delivery.
The more services you have running across different clouds and Kubernetes clusters, the harder it is to ensure that you have a central place to collect service mesh observability metrics. That’s one of the reasons we created Kuma, an open source control plane for service mesh. In this tutorial, I’ll show you how to set up and leverage the Traffic Metrics and Traffic Trace policies that Kuma provides out of the box. If you haven’t already, install Kuma and connect a service.
Digital twin technology has been around for years. But recently, industries have started to leverage it as a cost-effective method for creating prototypes to test, analyze, and study real-world simulations. Learn more about digital twins and get digital twin examples to learn how they could help you build bigger and better products.