Unified Multi-Cloud Management

Multi-Cloud Platform

One control plane across every cloud, regulated data kept in country.

Multi-Cloud Platform is a single control plane over everything you run: your own datacentres, private clusters, public cloud regions and edge sites. It federates them into one fleet behind Kubernetes-native APIs, so a workload is described once and placed wherever policy allows it to run. Nothing has to be re-architected to join the fleet, and nothing proprietary is needed to leave it.

Running several clouds without a single policy is a compliance exposure before it is an operational one: no unified view of where data sits, what it costs, or what happens if a provider becomes unavailable. Multi-Cloud Platform turns placement into a governed decision, holding regulated workloads on domestic infrastructure while elastic demand bursts to cheaper capacity elsewhere. That gives you a defensible answer to concentration-risk questions and a cost picture your finance team can act on.

Architecture

How it is put together

Governance and Policy

Residency rules, jurisdiction constraints, approval gates and an audit trail that records where every workload was allowed to run and why.

Unified Control Plane

A single operational view across every registered cluster, public and private, driven through standard Kubernetes APIs rather than a proprietary console.

Placement and Scheduling

A propagation and override engine that decides which cluster runs what, adapting registries, storage classes and resource limits per site automatically.

Delivery and Release

GitOps pipelines with phased and canary rollout across clusters at once, and rollback that needs no manual cross-cloud coordination.

Resilience and Recovery

Active-active sites, cross-region disaster recovery and automatic cross-cluster failover, built into the platform rather than added afterwards.

Federated Substrate

The member clusters themselves, spanning sovereign datacentres, public cloud regions and edge nodes on x86 and ARM.

Capabilities

Single Control Plane

Register every cluster you own or rent and operate them as one fleet, with consistent identity, policy and observability across all of them.

Policy-Governed Placement

Declare where a workload may and may not run, and let the scheduler enforce it rather than depending on a runbook being followed correctly.

Sovereign Data Boundary

Pin regulated data and the services that touch it to domestic infrastructure, with the constraint enforced at scheduling time and recorded for audit.

Cross-Cloud Burst

Scale out to additional clusters and providers when real demand arrives, then release the capacity when it passes.

Cost Visibility

Live spend broken down by cluster, cloud and workload, with cost-aware scheduling that steers eligible work to the most economical compliant capacity.

Multi-Site Resilience

Active-active across two cities and cross-region recovery, so the availability you commit to in a contract rests on architecture rather than a procedure.

Progressive Delivery

Phased and canary releases roll out to every cluster from one pipeline, with fast rollback and change records suitable for regulated change management.

Portability by Default

Standard Kubernetes APIs and open components mean moving a workload between providers is a scheduling decision, not a rebuild project.

Where it fits

A bank must keep core records in-country, but month-end batch demand spikes for a few days and the domestic cluster cannot absorb it alone.
A regulator asks how quickly you could move off your main cloud provider, and you need a demonstrated answer rather than a migration plan.
Five business units have bought five different clouds and nobody can produce a single bill, a single policy, or a single list of what runs where.
A national service has to keep running through the loss of an entire site, and prove afterwards that it did.
A platform team needs to ship the same release to clusters in three countries from one pipeline, and roll it back in minutes if it misbehaves.

What you end up with

You end up with a governed fleet: one control plane over your own datacentres and any public cloud, placement rules that hold regulated data in country, spend you can see per workload, and the practical ability to move any workload elsewhere without rebuilding it.