Private Managed Cloud

Private managed cloud for enterprise IT

Cloud automation and self-service, operated under your control

Enterprises increasingly want the cloud operating model — automation, self-service, and scalability — without giving up control over data location, cost, or architecture.

whitesky provides a private managed cloud platform that delivers cloud capabilities while keeping ownership, governance, and strategic control with the enterprise.

whitesky is delivered as a managed service today, with a software edition rolling out in 2026.
The platform runs on your hardware, in your datacenter (or chosen locations), under your control.

What “private managed cloud” means at whitesky

A whitesky private managed cloud is a dedicated cloud environment, designed for a single organization, operated with enterprise-grade discipline.

It is:

  • not shared hosting
  • not a hyperscaler private zone
  • not a do-it-yourself cloud stack

Instead, it combines:

  • a modern cloud platform
  • a clearly defined operating model
  • enterprise ownership of infrastructure and data

You get cloud capabilities without outsourcing architectural control.

Clear separation of responsibilities

Enterprise cloud adoption succeeds when responsibilities are explicit.

With whitesky, responsibilities are clearly split:

  • whitesky
    Operates and maintains the cloud platform lifecycle:

    • installation and upgrades
    • platform monitoring and health
    • operational best practices

  • Enterprise IT (or its chosen operator)
    Retains control over:

    • architecture and policies
    • security and compliance requirements
    • workload placement and lifecycle
    • user access and governance

This separation avoids ambiguity and supports auditability.

Architecture built on open standards

whitesky is a commercial platform built on open, industry-standard technologies.

Enterprise workloads are not bound to proprietary service constructs:

  • virtual machines remain standard VMs
  • Kubernetes remains upstream-compatible Kubernetes
  • object storage is S3-compatible
  • networking follows established models

This ensures:

  • portability of workloads
  • realistic exit paths
  • long-term architectural flexibility

Where it runs: location as a design choice

A private managed cloud with whitesky can run:

  • in your own datacenter
  • in a colocation facility
  • in a trusted partner location
  • across multiple sites

Geography and jurisdiction are architectural decisions, not vendor constraints.

This is particularly relevant for:

  • regulated industries
  • data residency requirements
  • latency-sensitive workloads
  • internal policy or risk frameworks

Hybrid and multi-location by design

Most enterprise environments are already hybrid.

whitesky supports:

  • multiple datacenters under one platform
  • active or standby secondary sites
  • disaster recovery locations
  • edge or regional extensions

All locations are operated through:

  • one portal
  • one API
  • one operational model

This reduces complexity without forcing consolidation.

Typical enterprise use cases

Enterprises deploy whitesky private managed cloud for:

  • VMware replacement or modernization programs
  • regulated workloads requiring strict data locality
  • mixed environments (legacy VMs + modern Kubernetes workloads)
  • secure virtual desktop environments close to data
  • predictable-cost infrastructure for core systems

The platform adapts to enterprise realities instead of forcing a redesign.

Delivery model: managed today, software tomorrow

whitesky is delivered as a managed platform today to reduce operational friction and accelerate adoption.

This model ensures:

  • predictable operations
  • professional lifecycle management
  • faster time-to-value

A software edition is rolling out in 2026, allowing enterprises (or their partners) to take over platform operation if and when that aligns with their strategy.

The architecture and operating model remain consistent across both delivery modes.

Why enterprises choose whitesky

  • Control over data location and infrastructure
  • Predictable cost without hyperscaler volatility
  • Open standards and realistic exit paths
  • One platform across sites and environments
  • A delivery model that evolves with enterprise maturity

Next steps

  • Review your private cloud architecture and constraints
  • Identify candidate workloads for migration or modernization
  • Discuss an enterprise private cloud blueprint with whitesky