Private cloud infrastructure: when dedicated hardware beats public cloud.

What "private cloud" actually means

Private cloud is a cloud environment where the underlying compute, storage and networking resources are dedicated to a single tenant — your business. You still get the operational model of a cloud (API-driven provisioning, elastic allocation inside your pool, managed control plane), but the hardware is not shared with other customers.

It sits between three adjacent models that people often confuse it with:

Model	Hardware sharing	Provisioning model
Public cloud (AWS, Azure, GCP)	Shared with thousands of tenants	API-driven, per-minute billing
Private cloud	Dedicated to one tenant	API-driven within your pool
Bare metal / dedicated servers	Dedicated per server	Manual provisioning, longer lifecycles
Colocation	You own the hardware, rent the data centre	Fully manual, you operate everything

Three situations where private cloud is the right choice

1. Predictable performance under load

Public cloud instances share the underlying host with other tenants. Most of the time this is fine — modern hypervisors and network fabric do a good job of preventing one tenant from starving another. But for workloads sensitive to latency variance (financial trading systems, real-time media processing, large databases where the tail latency of a single query matters), the "noisy neighbour" effect is real and unpredictable.

On a dedicated private cloud pool, the variance drops. The p99 latency converges with the p50 because there is no competing workload on the same core at the same microsecond. For some applications that is worth the architectural trade-off.

2. Compliance isolation beyond what multi-tenancy can prove

For regulated industries — healthcare under HIPAA or NEN 7510, financial services under PSD2 or DORA, certain public-sector contracts — the ability to demonstrate complete tenant isolation is a compliance requirement. Multi-tenant cloud with strong logical isolation is often sufficient on paper, but proving it to an auditor is harder than simply pointing at a physically separate rack.

We design private cloud environments with explicit isolation guarantees: dedicated hypervisor hosts, dedicated storage arrays, dedicated VLANs, separate management plane. The architecture document produced during our analysis phase becomes evidence for the compliance team.

3. Economics at scale

Public cloud pricing is optimised for variable workloads. Pay more per compute-minute in exchange for the ability to scale up and down on demand. If your workload is predictable — steady 24/7 at a known capacity — you are paying a premium for flexibility you are not using.

At a certain scale (typically when your monthly AWS / Azure bill crosses €10–15k of steady-state, non-bursty workload), dedicated hardware on private cloud becomes meaningfully cheaper. The crossover is not theoretical — we have migrated clients from hyperscaler cloud to private cloud and cut monthly infrastructure costs by 40–60% with identical or better performance, because the pricing model finally matched the workload.

What our private cloud looks like

For clients choosing private cloud, we build on infrastructure we operate across 5 European data centres, all Tier III+ certified, connected by a redundant 100 Gbit backbone. The standard stack includes:

• Dedicated hypervisor hosts (KVM-based, with Proxmox or OpenStack depending on the client's operational preference).
• Dedicated storage backend (NVMe SSD primary, tiered HDD for cold data, synchronous replication for critical volumes).
• Private networking with dedicated VLANs, no cross-tenant traffic.
• Internet transit with DDoS protection, IPv4 and IPv6 dual-stack by default.
• Optional hardware security module (HSM) integration for key custody.
• Backup targets in a separate data centre, retention policies per regulatory requirement.

This maps to the private infrastructure service.

When private cloud is the wrong choice

If your workload is bursty — long quiet periods with occasional traffic spikes — public cloud pricing is almost always cheaper. Private cloud makes you pay for peak capacity even when you are not using it.

If you need global point-of-presence for latency-sensitive workloads, the scale of the public cloud CDN network is hard to replicate on private infrastructure. A hybrid design (private cloud for origin, public cloud CDN for edge) often solves this, but it adds operational complexity you should be aware of.

If your team is small and already stretched, the operational overhead of a private environment — capacity planning, hardware refresh cycles, failure-domain reasoning — is real. This is exactly the work a managed partner removes, but if you are planning to run it yourself, be honest about the overhead.

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