Capital tied up in idle capacity
Hardware bought for a projected peak sits underutilised for most of its life, while the capital it consumed is unavailable for anything else.
In a cloud model, consumers of computing or storage services pay for only what they consume. That single change moves spending off the balance sheet, lets capacity follow demand instead of forecasts, and shortens the distance between an idea and a running product.
Overview
Traditional infrastructure asks you to buy for a peak you have not seen yet, then live with the answer for four years.
Cloud computing removes that bet. Capacity is consumed rather than owned, so under-provisioning stops being a crisis and over-provisioning stops being a sunk cost. Delkosoft’s role is to make that transition safely — using the same server, storage and virtualisation discipline we apply to on-premise estates.
Reduced capital expenditure · Scalability · Rapid deployment
The business problem
Three symptoms that usually mean the consumption model is worth examining.
Hardware bought for a projected peak sits underutilised for most of its life, while the capital it consumed is unavailable for anything else.
When demand does climb, the constraint is rarely engineering. It is the lead time on hardware, floor space and the approval to buy them.
A product that could be live in weeks waits months because the environment it needs has to be specified, purchased, racked and configured first.
The Delkosoft approach
Cloud is a delivery model, not a rewrite. The work is in understanding what your workloads actually need — capacity, availability, data protection — and moving them without the business noticing.
“Our highest priority is to satisfy the customer through early and continuous delivery of valuable software.”
Capabilities
Cloud work at Delkosoft is grounded in the same infrastructure disciplines we run on premise.
A review of the current estate — utilisation, dependencies, data protection and availability requirements — to establish what should move and what should not.
VMware and clustering work to consolidate and abstract workloads, which is what makes a controlled migration possible in the first place.
Sequenced migration with installation, OS upgrades and hardware integration handled so that services stay available throughout.
Back-up management, data replication and recovery designed alongside the migration rather than added once the workload has already moved.
Continuous monitoring of CPU, memory and disk space utilisation, so consumption stays matched to real demand.
Server, storage and database management continue after the migration — including 24×7 monitoring and support for business-critical databases.
Benefits
Methodology
Assessment first. Nothing moves until we can describe what moving it will actually do.
Current servers, storage, databases and utilisation are reviewed, along with availability and data protection requirements for each workload.
Target architecture, capacity model, data protection and the migration sequence — including which workloads stay where they are.
Controlled migration with installation, OS upgrades, hardware integration and data replication, staged so services stay available.
Post-migration monitoring, performance tuning and capacity management, so consumption tracks actual demand instead of drifting upward.
Technologies
The same platform depth that underpins our on-premise work.
Common questions
Still unsure whether this is the right engagement? A short call with our engineers is usually faster than another page of reading.
Get started
Tell us what your infrastructure has to do over the next three years. We will tell you, honestly, what it takes to get there — and what we would run for you.