Private Managed Cloud

Deliver sovereign private clouds for your customers — fully managed

In short: whitesky enables MSPs to deliver private managed clouds that feel like public cloud but run in customer datacenters, colocation, or MSP facilities with full data sovereignty and compliance control.

Many customers want the cloud operating model (self-service, automation, scalability) while keeping full control over data location, compliance, and cost. With whitesky, MSPs can deliver a private managed cloud that feels like public cloud — but runs where the customer needs it.

whitesky is delivered as a managed service (installation, updates, monitoring and lifecycle management). A software edition for self-operation is planned, at the earliest in 2027.

What “Private Managed Cloud” means with whitesky

A whitesky private managed cloud is a dedicated cloud environment for a customer, delivered by you as the MSP: you run the customer services, whitesky.cloud operates the platform layer. It can run:

  • In your datacenter (as a service provider-owned private cloud)
  • In the customer’s datacenter (on-prem private cloud)
  • In a colocation facility
  • Across multiple sites (hybrid / multi-location)

The customer gets the cloud experience. You keep operational consistency and margin.

Where a private managed cloud can runYou, the MSP, run the services of every customer cloud, with central visibility, portal and API and standard building blocks, while whitesky.cloud operates the platform layer. Each private cloud can run in your own datacenter, in the customer datacenter on-premises, in a colocation facility, or across multiple sites, on the customer's hardware or your own. The customer gets the cloud experience and you keep operational consistency and margin.You, the MSP, run the services of every customer cloudwhitesky.cloud operates the platform layer · central visibility · portal and APIYourdatacenterprovider-ownedprivate cloudCustomer'sdatacenteron-premprivate cloudColocationfacilityprivate cloudMultiplesiteshybridsite 1site 2The customer gets the cloud experience; you keep operational consistency and margin
Where a private managed cloud can runYou, the MSP, run the services of every customer cloud, with central visibility, portal and API and standard building blocks, while whitesky.cloud operates the platform layer. Each private cloud can run in your own datacenter, in the customer datacenter on-premises, in a colocation facility, or across multiple sites, on the customer's hardware or your own. The customer gets the cloud experience and you keep operational consistency and margin.You, the MSP, run the servicesof every customer cloud;whitesky.cloud operates the platformYourdatacenterprovider-ownedprivate cloudCustomer'sdatacenteron-premprivate cloudColocationfacilityprivate cloudMultiplesiteshybridsite 1site 2Customer: the cloud experience.You: consistency and margin.
The same private cloud building blocks, wherever the customer needs them to run.

Built for MSP operations

whitesky is designed so MSPs can standardize private cloud delivery across customers:

  • Multi-tenant platform with strong isolation and delegated admin
  • Standard building blocks that scale from small to large environments
  • Central operations visibility across locations and customers
  • Automation via portal and API (no manual ticket-only workflows)
  • Clear separation of responsibilities (customer vs MSP vs platform operator)

Customer outcomes you can lead with

Private managed cloud is typically chosen when customers need:

  • Data residency and sovereignty (know exactly where workloads run)
  • Predictable cost models (avoid hyperscaler price volatility)
  • Compliance alignment (regulated industries and public sector)
  • Low-latency proximity to on-prem systems
  • Vendor independence (escape proprietary lock-in)

Platform capabilities that matter most for private cloud

Depending on the customer profile, private managed cloud can include:

  • Virtual Cloud Environments (cloudspaces) for compute and networking
  • S3-compatible object storage (objectspaces) for data and backups
  • Containers & Kubernetes for modern workloads
  • Built-in Backup & Disaster Recovery options
  • Virtual Desktops (VDI) for secure workspaces
  • Portal, RBAC and usage reporting for governance
  • Security & compliance features aligned to regulated workloads

Hybrid & multi-location by design

whitesky supports multi-location architectures that many private cloud customers require:

  • Split workloads across datacenters (active/active or active/passive)
  • Add a second site for DR
  • Burst to partner locations via federation where applicable
  • Keep management consistent via one portal and API

This allows you to build resilient private cloud offerings without introducing a complex multi-vendor stack.

Hybrid and multi-location private cloudOne portal and API manage every site. Workloads are split across datacenter A and datacenter B in active/active or active/passive mode, or the second site serves disaster recovery. Where applicable, capacity bursts to a partner location through federation.One portal and API for every siteDatacenter AVMVMVMcustomer workloadsDatacenter BVMVMVMcustomer workloadsPartner locationvia federationburst capacity,where applicableactive/active or active/passiveor a second site for DR
Hybrid and multi-location private cloudOne portal and API manage every site. Workloads are split across datacenter A and datacenter B in active/active or active/passive mode, or the second site serves disaster recovery. Where applicable, capacity bursts to a partner location through federation.One portal and API for every siteDatacenter AVMVMVMcustomer workloadsDatacenter BVMVMVMcustomer workloadsactive/active oractive/passive,or second site for DRburstPartner locationvia federationburst capacity, where applicable
Two datacenters under one portal and API, with optional burst capacity in a federated partner location.

Delivery model: managed service

whitesky is delivered as a managed service:

  • installation and configuration on your/customer hardware
  • monitoring and lifecycle management
  • updates and upgrades
  • operational best practices

A software edition for self-operation is planned, at the earliest in 2027.

From managed service to softwareToday whitesky operates the platform as a managed service, handling installation, monitoring, updates and lifecycle, while you run the cloud for your customers. A software edition is planned, at the earliest in 2027; with it, you could gradually take over platform operation as well. Architecture and business model stay the same.Today: managed servicewhitesky operates the platforminstallation, monitoring,updates, lifecycleYou run the cloud for customersservices, customers, marginSoftware edition: plannedYou operate the platform2027 at the earliest; then takeover if and when you wantYou run the cloud for customersservices, customers, marginSame architecture, same business model
From managed service to softwareToday whitesky operates the platform as a managed service, handling installation, monitoring, updates and lifecycle, while you run the cloud for your customers. A software edition is planned, at the earliest in 2027; with it, you could gradually take over platform operation as well. Architecture and business model stay the same.Today: managed servicewhitesky operates the platforminstallation, monitoring,updates, lifecycleYou run the cloud for customersservices, customers, marginSoftware edition: plannedYou operate the platform2027 at the earliest; then takeover if and when you wantYou run the cloud for customersservices, customers, marginSame architecture,same business model
whitesky operates the platform as a managed service; a software edition for self-operation is planned, at the earliest in 2027.

Typical customer scenarios

MSPs use whitesky private managed cloud to deliver:

  • VMware replacement private clouds
  • Sovereign infrastructure for regulated SMB/enterprise
  • Public sector private clouds with clear data locality
  • Hybrid modernization: VMs + Kubernetes + S3 storage
  • Secure VDI environments close to data

Next steps