On-prem to cloud
AWS, Azure, GCP, Huawei, Oracle. Lift-and-shift through full refactor — pattern picked per workload economics.
Service · Cloud & Infrastructure
Move workloads, applications, and data with confidence — datacenter relocations, cloud migrations, platform modernisation. Forty cutover weekends and counting, all rollback-tested before they happen.
What we migrate
Different workload shapes, same delivery discipline — discovery, dependency mapping, wave planning, rehearsed cutover, hypercare.
AWS, Azure, GCP, Huawei, Oracle. Lift-and-shift through full refactor — pattern picked per workload economics.
Site consolidation or full move with zero-downtime cutover plans. Forty live datacenter migrations to date.
Cost-optimisation moves, vendor consolidations, regional sovereignty (e.g. into Azure KSA North or AWS Riyadh).
Oracle, SQL Server, PostgreSQL, MongoDB, MySQL — schema conversion, replication, cutover with bidirectional sync option.
S/4HANA, Oracle EBS, Dynamics 365 — long-running modernisation engagements with phased value capture.
Mainframe modernisation, legacy app replatforming, M365 / Workspace tenant migrations — handled with the same playbook.
The 6 R's
Across 5,000+ migrated workloads, the distribution rarely changes. Most engagements are a mix — and pretending one strategy fits all is the most common reason migrations slip.
Lift-and-shift. Move the workload as-is into the new platform. Fastest, lowest risk, least optimisation — the right call when speed matters more than savings.
Lift-tinker-and-shift. Move with light optimisation — managed database instead of self-managed, container runtime instead of VM. Most common middle ground.
Re-architect for cloud-native operation. Containers, serverless, event-driven. Highest reward, highest cost — done where the economics or future flexibility justify it.
Replace the existing system with a SaaS equivalent. Common for collaboration tools, CRM, HR — where the legacy system is doing the same job a SaaS does cheaper.
Switch it off. Discovery typically uncovers workloads that are being kept alive out of habit. The savings here often fund the rest of the migration.
Leave it where it is. Some workloads are cheaper, simpler, or more compliant on-prem — and the discipline is being honest about which ones.
Methodology
A migration is a one-shot event. The discipline is in the discovery and the rehearsal — by the time we cut over, the path is rehearsed and the rollback is pre-validated.
Application discovery, dependency mapping, and risk assessment using automated tooling — Cloudamize, Movere, Azure Migrate, AWS ADS.
Wave planning, target-state architecture, runbook authoring, rollback procedures, and stakeholder sign-off gates.
Execute with the right pattern per workload — replatform, refactor, rehost, or retire — and pre-tested cutover weekends.
Functional testing, performance baseline comparison, security posture review, and 30-day hypercare with senior engineers on standby.
Migration tooling
Outcomes powered by this service
The same engineering wraps into a different reading for executive stakeholders — outcome-led, not feature-led.
FAQ
We use rehearsal cutovers in a parallel environment, async replication ahead of go-live, DNS-based traffic shifting, and rollback runbooks pre-validated up to 24 hours before the migration. Our 40+ live datacenter migrations have zero unplanned downtime to date.
Yes. Cloud-to-cloud migrations are a growing share of our work, often driven by cost optimisation, vendor consolidation, or regional sovereignty (e.g. moving to Azure KSA North or AWS Riyadh for data residency).
We bring the tooling (Cloudamize, Movere, AWS ADS, Azure Migrate) and run discovery agents in your environment. Within 2–3 weeks we produce a full dependency map and a risk-ranked wave plan ready for your review.
A 200-VM datacenter migration takes 8–14 weeks end-to-end. A multi-region cloud migration of 500+ workloads runs 4–9 months in waves. We commit to fixed-price, milestone-based engagements after the discovery phase.
Every migration includes a 30-day hypercare period with senior engineers on standby and pre-agreed rollback authority. Beyond hypercare, the migrated environment can transition to our 24/7 managed services contract.
Bring in a team that has run the playbook 40 times before yours. Discovery starts at your environment — wave plan back within 2–3 weeks.
A field-tested cloud migration playbook covering discovery, sequencing, residency, peak-event, and integration. Free to download.
Cloud migration playbookRead published case studies for evidence of what these migrations look like delivered.
Case studies