Physical, virtual
& cross-cloud migration.
Move supported workloads through repeatable application waves, with dependency-aware sequencing and a tested recovery path.
Enterprise workload migration, OS and kernel modernization across AWS, Azure, and Google Cloud. Dependency-aware delivery, infrastructure automation, and security and FinOps governance from day one.
VMware transitions, data-center exits, legacy OS estates, and cloud relocation. The migration path follows your application requirements.
Automate supported replication and adaptation. Keep application testing, exceptions, and business approval in the delivery plan.
Each phase closes with evidence, an owner, and an agreed decision. Your application remains the unit of acceptance.
Reconcile inventory, observe dependencies, identify unsupported configurations, and build the readiness and cost baseline.
Discovery, migration, modernization, and target architecture. Scoped to the workload, supported by the right tool.
Move supported workloads through repeatable application waves, with dependency-aware sequencing and a tested recovery path.
Evaluate supported upgrade or rebuild paths. Test application compatibility and final synchronization before a production change.
Validate storage and network drivers, boot modes, cloud agents, and target volume layouts against the chosen migration path.
Automate landing zones and configuration refactoring. Establish identity, security, backup, monitoring and FinOps controls before workloads arrive.
A selected toolchain.
A consistent delivery process.
Tool selection is subject to source, target, OS, application, licensing, and regional support. Product names identify tooling options.
Agree control-plane access, replication paths, staging retention, encryption, and recovery before executing a wave.
Inventory, workflow, and approved metadata. Access and residency depend on the selected tool.
Encrypted transfer and storage are configured and verified for the supported migration method.
The final design documents actual ports, credentials, data locations, replication consistency, and recovery behavior. DNS reversal alone may not recover new target writes.
Adjust the estate and wave size to explore an indicative schedule. Discovery and rehearsal establish the committed plan.
Assumes 40 workloads per wave, sequential weekly waves, and 2–4 weeks of readiness work. Hypercare and remediation are additional.
Engineered and led by senior cloud architects, OS modernization specialists, and enterprise automation leaders with 2+ decades of combined experience executing mission-critical infrastructure transformations.
Direct technical ownership from architecture through handover, supported by a delivery model built around your application and operational teams.