When colocation deserves a serious look
Colocation becomes compelling when demand is steady enough to plan, specialized hardware matters, data movement is expensive, or the organization already operates a strong platform on owned equipment. It can also provide a controlled landing zone for infrastructure that should sit close to cloud on-ramps without running inside a cloud provider.
- Stable compute, storage, or network demand with a long useful life.
- GPU, high-density, licensed, or appliance-heavy platforms with specific hardware needs.
- Large data sets where recurring cloud storage or egress economics need scrutiny.
- Regulatory or operational requirements that favor direct hardware control.
- Existing equipment with meaningful remaining value.
When cloud keeps the advantage
Cloud is powerful when the team values speed, managed services, global reach, and the ability to scale resources without acquiring hardware. It is often the stronger home for new digital products, variable workloads, data services, development environments, and systems that can take advantage of cloud-native operations.
- Demand is uncertain, seasonal, or highly variable.
- Time to experiment matters more than unit infrastructure cost.
- Managed databases, analytics, AI services, and platform primitives reduce engineering effort.
- The application needs multi-region reach or rapid geographic expansion.
- The team can design, govern, and optimize cloud usage continuously.
Why hybrid is usually the useful comparison
A good hybrid design does not split infrastructure arbitrarily. It places stable or hardware-specific systems in colocation, uses cloud for elasticity and managed services, and connects the two with deliberate bandwidth, routing, security, and failure planning.
A hybrid business case should include cloud on-ramps, carrier circuits, cross-connects, egress, latency, redundant routes, and the operating effort required to manage both sides.
Questions to answer workload by workload
- How variable is demand over a month and over the next three years?
- Does the workload benefit from a managed cloud service, or is it primarily consuming raw compute and storage?
- How much data moves in, out, and between systems?
- What hardware, licensing, latency, security, and compliance constraints exist?
- Does the team have the skills and tooling to operate and optimize the chosen platform?
- What is the cost to exit or move if the original assumption changes?
Compare full lifecycle cost
For colocation, include hardware, support, refresh, facility recurring charges, network, migration, staff, and disposal. For cloud, include committed-use discounts, storage tiers, support, data transfer, security tooling, observability, managed-service premiums, and the labor needed to control architecture and spend. Use the same growth assumptions and service levels on both sides.