Compute specified for the workload, not for the catalogue.
Server and storage infrastructure sized against measured requirements, with lifecycle, warranty and firmware managed so hardware stops being a source of surprises.
Hardware bought against a guess
Server refreshes are frequently specified from a vendor configurator and a rough sense of growth. The result is capacity in the wrong dimension — plenty of cores and not enough memory, or fast storage where the workload was never storage-bound — plus a warranty position nobody is tracking.
- Hardware was specified without measuring what the workloads actually consume.
- Nobody has a current view of warranty expiry across the estate.
- Firmware and BIOS levels are inconsistent and rarely updated.
- A failure means discovering the spare part is no longer stocked.
What we build
Infrastructure specified from measurement, deployed to a consistent standard, and tracked through its lifecycle so refresh and warranty are planned rather than reactive.
- Workload analysis establishing the real constraint — compute, memory, storage or network
- Specification sized to measurement with justified headroom, not a doubling
- Consistent build standard including firmware and BIOS baseline
- Out-of-band management configured and secured
- Lifecycle register: warranty, end of support and planned refresh dates
- Capacity monitoring with lead-time alerting before headroom runs out
How it runs
Measurement decides the specification. Everything else is procurement.
- 01Find the constraint
Which resource actually limits each workload. It is frequently memory or storage latency rather than the core count people focus on.
- 02Specify to measurement
Configuration derived from consumption with justified growth, rather than from a configurator default.
- 03Build consistently
Firmware, BIOS and out-of-band management to one standard, so hosts behave the same way.
- 04Register the lifecycle
Warranty and support dates tracked centrally, so refresh is budgeted rather than triggered by a failure.
- 05Monitor capacity
Alerting with enough lead time to procure, because hardware has a delivery time that software does not.
What changes once it is running
What specifying from measurement changes about hardware.
Spend lands where it matters
Capacity is bought in the dimension that actually constrains the workload.
Refresh becomes planned
A lifecycle register turns hardware replacement into a budget line rather than an emergency.
Hosts behave consistently
A firmware and BIOS baseline removes a category of intermittent, hard-to-diagnose faults.
Capacity does not surprise you
Lead-time alerting means procurement starts before headroom is gone.
How an engagement is shaped
Usually timed against a refresh cycle or a capacity concern.
Workload and lifecycle audit
One to two weeks measuring consumption and building the warranty and support register.
Specify and deploy
Specification, procurement support and deployment to a consistent standard. We are not tied to a manufacturer.
Operate
Capacity monitoring, firmware maintenance and lifecycle tracking, optionally managed.
Common questions
The things buyers ask before they commit. If yours is not here, it is a good first question for the assessment.
- Should we buy hardware or move to cloud?
- Steady-state workloads often remain cheaper on owned hardware over a three-year horizon; variable workloads usually favour cloud. The consumption data answers this rather than a general preference.
- Are you tied to a particular manufacturer?
- No. We specify against requirements and support your procurement, whoever you buy from. Reusing an existing vendor relationship is frequently sensible.
- What about hardware you did not specify?
- We adopt existing estates routinely. The lifecycle register and firmware baseline apply regardless of who bought it.
What is out of warranty right now?
If that needs research, the lifecycle register is the quickest thing to fix.