Bring your Kubernetes workloads to the edge

Although cloud-based applications continue to grow, some use cases require moving workloads out of cloud data centers. The reason is usually to keep your computing power closer to the users, the source of data, or other things you want to control. Instead of running these workloads as separate entities, you might want to create uniform systems, extending clouds to the edge. This technique is known as edge computing. The past few years have seen a proliferation of edge computing infrastructure. T...