Compute that fits the workload.
Deploy virtual computing resources around the applications, data, and demand your business needs to support.
Discuss cloud computePut application requirements first.
A useful compute plan starts with the workload: how it uses CPU and memory, when demand changes, and which services it depends on. CloudCPO helps connect those requirements to virtual computing resources and a clear operating plan.
What goes into the plan.
| Virtual computing | Build a resource profile around processor, memory, and storage requirements. | Application servers, business tools, and processing jobs. |
|---|---|---|
| Capacity planning | Review normal demand, peak periods, and the room needed for growth. | A documented baseline and a repeatable review. |
| Connected resources | Account for the network, storage, and access paths behind each application. | Dependencies are part of the deployment plan. |
| Infrastructure management | Define provisioning, changes, and ongoing ownership together. | A clear boundary between your team and managed operations. |
Bring the useful details.
A little preparation makes the first conversation more specific.
- Current CPU and memory usage
- Application runtime and licensing needs
- Storage volume, latency, and growth
- Dependencies and access requirements
- Normal demand and peak periods
Before you decide.
Can a workload change size after deployment?
The resource plan should include how capacity changes are requested and validated. Available configurations and change procedures are confirmed during scoping.
Do you publish standard compute prices?
Resource requirements and the agreed management scope determine a proposal. Contact sales with your workload profile for a scoped estimate.
Can we move an existing application?
Start with its dependencies, software requirements, data movement, and recovery needs. These determine an appropriate migration and validation plan.
Start with your environment.
Tell us what you run and where the complexity is.