Review cloud readiness
Identify which workloads can move, which should remain and what they depend on.
Choose a cloud environment that fits your workloads. Linux Tech plans public, private and hybrid cloud, then coordinates migration, testing and operating handover around your business requirements.

A cloud move affects applications, data, access and day-to-day work. Understand the dependencies before deciding what to move, when to move it and how to operate it afterwards.
Cloud computing services cover environment design and ongoing operation; migration moves agreed workloads and data into that environment. Linux Tech assesses dependencies, access, connectivity, recovery needs and costs before planning the transition.
Cloud readiness and workload assessment
Public, private and hybrid cloud architecture
Application, server and data migration
Identity, networking, access and foundation configuration
Cloud backup, disaster recovery and recovery-test planning
Resource use, performance and cost reviews
Identify which workloads can move, which should remain and what they depend on.
Plan test migrations, data synchronisation, cutover and rollback.
Review resource use, access, performance, backup and recovery arrangements.
Let workloads and information needs guide the architecture.
Identify dependencies and agree testing and recovery steps before cutover.
Build visibility into resource use and refine capacity as requirements change.
Clarify your objectives, current environment and practical needs.
Agree scope, priorities and a workable delivery approach.
Deploy, integrate, test and validate in considered stages.
Complete documentation and handover, with ongoing support arrangements.
Yes, a hybrid approach can be considered where it suits application, access or operating requirements. The architecture should reflect the needs of each workload.
The impact depends on your applications and the migration method. We plan testing, data synchronisation and cutover windows to manage disruption; any expected downtime is discussed in advance.
Start with workload sizing, cost visibility and clear ownership. Review consumption against the design and adjust the environment as usage changes. Costs depend on the agreed architecture and provider.