A new paradigm for cloud-native infrastructure
What if spinning up a fully isolated Kubernetes cluster took seconds instead of hours, and cost a fraction of traditional managed Kubernetes? What if that cluster could run worker nodes anywhere in the world, even across clouds, while still being centrally managed? What if the Control Plane itself could be treated as a workload, scaling elastically and sharing infrastructure with hundreds of other clusters? What if all of this functionality was available now?
Rackspace launched "Spot", a Kubernetes offering with a clear mission: to provide fully managed Kubernetes clusters at compelling cost-efficiency, powered by dynamic spot/auction compute, and delivered as a turnkey experience.
In doing so, a fundamental question has to be confronted: how do you build a multi-tenant service that can spin up hundreds, or even thousands, of isolated Kubernetes clusters, each with its own Control Plane, without the overhead and complexity that traditional architectures entail?
What was needed was way more than a simple Kubernetes cluster creation automation: Rackspace needed an architecture built for scale, elasticity, and efficient multi-tenant orchestration. That's where Kamaji came in.