Logical Multi-Tenancy
Spin up isolated "Virtual Control Planes" in seconds. Get full API isolation without the infrastructure overhead of a physical cluster for every environment.
Apeiro Platform Mesh, powered by kcp, acts as "Control Plane as a Service."
It provides a single API entry point for your entire organization, regardless of where your physical clusters run.
Managing dedicated control planes for every cluster creates fragmentation.
kcp solves this by decoupling the API from the infrastructure—allowing you to scale via thousands of logical Workspaces.
From Cluster Sprawl to Unified Control: Apeiro with kcp decouples the management layer from your infrastructure. Scale through thousands of logical Workspaces instead of managing hundreds of individual control planes.
Spin up isolated "Virtual Control Planes" in seconds. Get full API isolation without the infrastructure overhead of a physical cluster for every environment.
Horizontal scaling for thousands of workspaces. Decouple your management layer to scale independently from your physical compute resources.
Consolidate fragmented tools. Run multiple logical control planes within kcp to eliminate the maintenance of hundreds of individual management instances.
No new tools to learn. kcp is fully compatible with the Kubernetes API—works out-of-the-box with kubectl, Helm, and Terraform.
These are the questions we hear most often about Apeiro Platform Mesh with kcp.
Perfectly. Apeiro and kcp act as a powerful management layer on top of your infrastructure. Your containers continue to run on standard clusters, while you gain a unified API and global control.
Absolutely. You get full compatibility with the tools you already love, like kubectl, Helm, and Terraform. There’s no new language to learn; it’s the Kubernetes experience you know, just more flexible.
By design. Each workspace provides a clean, automated boundary for every team or project. This ensures total isolation at the API level, making it easier than ever to manage permissions and prevent configuration errors at scale.
Stop managing clusters. Start scaling your platform.
Simplify your infrastructure and scale without limits.