Workload placement
Assess dependencies, data location, capacity and operating costs to inform where each workload should run.
Connect private infrastructure and cloud environments with a practical approach to migration, virtualisation and application modernisation.
Discuss your projectEnterprises evaluating private cloud, refreshing virtualisation, consolidating infrastructure or moving selected workloads between environments.
Assess dependencies, data location, capacity and operating costs to inform where each workload should run.
Design private-cloud, hyperconverged infrastructure and container platforms to suit application needs.
Plan transition waves, testing, rollback and handover around agreed business change windows.
We agree the requirements, responsibilities and acceptance criteria with your team before implementation.
Connect cloud and on-premises environments through agreed networking, identity and management controls. Include AI workload requirements in capacity and data-movement planning.