workloads from remote clusters As Kubernetes continues to gain traction in the cloud-native ecosystem, the need for robust, scalable, and highly available cluster deployments has become more noticeable. While a Kubernetes cluster can easily expand via additional nodes, the downside of such an approach is that you might have to spend a lot of time troubleshooting the underlying networking or managing and updating resources between clusters.

In the rapidly evolving landscape of IT infrastructure, enterprises are increasingly moving away from traditional virtualization platforms due to rising licensing costs and the limitations these older systems impose on modern cloud-native application needs. The shift towards Kubernetes, which can manage diverse workloads such as containers, virtual machines (VMs), and bare metal environments, accelerates the migration from traditional virtualization platforms.

A common challenge with multi-cluster connectivity is that networking solutions have a prerequisite of pod-to-pod connectivity enabled between the clusters that are to be meshed. This typically requires the user to take care of the underlying network infrastructure in terms of routing.