edgeContinuum is a private cloud platform for the OpenStack you already operate: managed Kubernetes, PostgreSQL and virtual machines as self-service, with the guardrails your platform team defines.
Your infrastructure is capable; the experience around it is the bottleneck. Developers wait on tickets, platform engineers hand-carve VMs, and every team builds its own path to Kubernetes. edgeContinuum gives every team a console and an API instead: they create clusters, databases and VMs themselves, inside guardrails you define, and the platform keeps everything in its desired state.
A cluster, database or VM in minutes, through the console, the API or Terraform. Kubeconfig download and ship.
Projects, quotas and roles set the boundaries once; desired-state automation handles upgrades, scaling and recovery continuously.
Hardware, network and data never leave your perimeter, and the platform runs anywhere from SaaS to fully air-gapped.
Without a self-service private cloud, the pressure finds other exits: teams swipe credit cards on public cloud (and your data leaves with them), platform engineers burn quarters building an internal developer platform from scratch, and every infrastructure request ages in a queue. The result is shadow IT on the outside and toil on the inside.
A cloud management platform for OpenStack closes both gaps at once: developers get the public-cloud experience inside the perimeter, and the platform team gets guardrails and desired-state automation instead of a backlog. The OpenStack self-service platform architecture guide sets out that layer, component by component, for a deployment you already run.
The request that exposes whether you have a private cloud or just virtualization is a developer asking for a Kubernetes cluster. On most on-premises estates that is a ticket, a sizing conversation and a week. Private cloud Kubernetes means it is a form: pick a region, a control plane model and node pools, and get a kubeconfig, inside the quota the project already carries. Databases and VMs work the same way, which is what makes it on-demand private cloud rather than a faster ticket queue. The users, projects and quotas guide covers the guardrail layer this depends on, and the databases on OpenStack guide the database catalog behind it.
Native, deep OpenStack integration: connect any number of infrastructures (data centers, private clouds, remote sites) and shape them into your own regions and availability zones. Declarative foundations (Cluster API, Crossplane) keep everything in its desired state with no configuration drift, and autonomous regions keep remote sites serving even when links drop. Distributing the same platform across many small facilities is a different job: that is our edge computing platform.
CNCF-conformant clusters with autoscaling node pools, in-place upgrades and dedicated or hosted control planes.
Provisioning, high availability and lifecycle handled: teams connect and ship.
Catalogs, networks, routers and firewall rules, managed like public cloud.
Helm charts, containers and your internal apps as one-click products for every team.
Connect a lab infrastructure on the free trial, or book a call and we’ll demo the full loop: connect, curate, provision, operate.
