How Rackspace Built a Turnkey Managed Kubernetes Service on Kamaji
Spinning Up Isolated Control Planes in Seconds and Running Hundreds on Shared Infrastructure with Rackspace Spot and Kamaji
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REDUCE THE COST OF RUNNING KUBERNETES AT SCALE
- Company
- Rackspace Technology (NASDAQ: RXT)
- Website
- rackspace.com
- Headquarters
- Texas, USA
- Industry
- Hybrid cloud and AI solutions / managed cloud services
- Employees
- ~5,000
- IT environment
- Multi-region, multi-cloud managed Kubernetes; Kamaji Hosted Control Planes; spot/auction compute
- Clastix offering
- Kamaji
- Use case
- Managed Kubernetes · Hosted Control Planes
AT A GLANCE
Challenge
Dedicating three VMs to every cluster's control plane added a fixed cost per cluster, and provisioning was too slow for short-lived spot instances.Kamaji runs each tenant's control plane as pods in a shared management cluster, with worker nodes connected from anywhere via Konnectivity.
Solution
Kamaji runs each tenant's control plane as pods in a shared management cluster, with worker nodes connected from anywhere via Konnectivity.
Outcome
Fully isolated control planes spun up in seconds, with hundreds hosted on a single shared management cluster at a fraction of the cost.
SUMMARY
Success story overview
Rackspace Technology, a leading end-to-end hybrid cloud and AI solutions company, set out to deliver fully managed Kubernetes clusters with Rackspace Spot, powered by dynamic spot/auction compute and delivered as a turnkey experience. Under the traditional model, every cluster's control plane needed three dedicated VMs, a fixed cost that doesn't scale to hundreds of clusters, and provisioning was too slow for short-lived spot instances. With CLASTIX's open-source project Kamaji, each tenant's control plane runs as a set of pods inside a shared management cluster, isolated by namespaces, RBAC, and network segmentation. Worker nodes can live across regions, availability zones, and clouds, connecting outbound to the control plane via Konnectivity. The result: isolated control planes spun up in seconds, hundreds hosted on shared infrastructure, one consistent lifecycle across every cluster, and global, elastic managed Kubernetes at a fraction of the cost.
KEY REQUIREMENTS
- Cost efficiency at the scale of hundreds or thousands of clusters
- Rapid provisioning and elasticity, with clusters ready in seconds •
- Operational consistency and reliability across the fleet
- An isolated, single-tenant-quality environment on shared infrastructure
- Complete lifecycle management, including upgrades, patching, and failover
KEY OUTCOMES
- Fully isolated control planes spun up in seconds, not hours
- Hundreds of control planes hosted on a single shared management cluster
- Worker nodes anywhere (multi-region, multi-cloud), connected via Konnectivity
- One consistent lifecycle (upgrades, patching, scaling) across every cluster
- Global, elastic managed Kubernetes at a fraction of the cost
"We're confident in recommending this architecture as the foundation for the next generation of managed Kubernetes services."
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