Cloud and Infrastructure Modernisation
Consolidation that removes physical sites where it is safe to, and hardens the ones that must remain, with edge processing kept local where latency or continuity demands it.
Sectors ยท Telecommunications and Energy
Heavy infrastructure loads, distributed sites and equipment that runs continuously. Power and resilience decisions are usually made by separate teams, which is why both end up more expensive than they need to be.
The pressure
What we are engaged to produce
A single view where infrastructure and power are assessed together, with the efficiency case measured from metered consumption rather than estimated from a datasheet.
Telecommunications and Energy run the most power-intensive estates we work on, and the most distributed. Equipment sits in exchanges, substations, base station sites and depots, running continuously, frequently in enclosures with no thermal headroom left.
The structural problem is ownership. Infrastructure sits with technology, power sits with facilities, and the two are assessed on different cycles against different budgets. So the resilience decision gets made without the power consequence, and the efficiency programme gets run without the resilience consequence.
Meanwhile the equipment itself keeps ageing. On distributed estates the end-of-support position is usually worse than in a central data hall, because nobody has physically visited some of these sites since commissioning.
The instrument
On heavy infrastructure sites, the share of draw doing useful work is usually smaller than anyone expects. Toggle between a typical estate and the same estate after an optimisation pass.
Illustrative proportions drawn from the pattern we typically find on heavy infrastructure sites. Your figures come from metered consumption during a stage one energy audit, and we do not quote a saving before we have measured one.
Applied here
Consolidation that removes physical sites where it is safe to, and hardens the ones that must remain, with edge processing kept local where latency or continuity demands it.
Recovery on Veeam and VMware across a distributed estate, where the constraint is usually bandwidth to site rather than anything in the data centre.
Metered load profiling across IT, cooling and distribution, then optimisation frameworks that reduce the draw before any new capacity is specified.
A first accurate inventory across every site, including the ones nobody has attended in years, with refresh planning against both support and efficiency.
A typical first engagement
Consumption measured across IT load, cooling and distribution, per site, rather than estimated from equipment ratings.
Every site inventoried with its support position, thermal headroom and physical access constraints recorded together.
One sequence covering both resilience and efficiency, so the two stop being funded against each other.
We do not quote a saving before we have measured one. That is the entire difference.