On-prem to cloud
AWS, Azure, GCP, Huawei, Oracle. Lift-and-shift through full refactor — the 6 R's applied to the workload, not the slide.
Move workloads, applications, and data with confidence — datacenter relocations, cloud migrations, database moves, SAP and ERP, mainframe modernisation. Discovery-led, wave-based, and rollback-tested.
Discovery, design, migrate, validate. Every workload follows the same loop, rehearsed before the real cutover.
From server-room consolidation to mainframe modernisation — the full migration surface for regulated environments in KSA and across MENA.
AWS, Azure, GCP, Huawei, Oracle. Lift-and-shift through full refactor — the 6 R's applied to the workload, not the slide.
Site consolidation and physical relocation with rehearsed cutover weekends and async replication — measured in seconds of user-visible downtime.
Provider-to-provider for cost optimisation, vendor consolidation, or regional sovereignty — including moves into local cloud regions.
Oracle, SQL Server, PostgreSQL, MongoDB, MySQL. Heterogeneous migrations with schema conversion and zero-data-loss replication.
S/4HANA conversions, Oracle EBS uplifts, and Dynamics 365 moves — with downtime windows costed against business calendars.
Modernisation, replatforming, and tenant migrations off end-of-life systems — without losing the business logic embedded in them.
Not every workload should move the same way. The 6 R's framework — applied to 5,000+ migrated workloads — picks the right strategy per application, not per slide.
Move the workload as-is. Fastest path off a depreciating datacenter, used as the first wave on most large estates.
Targeted optimisation during the move — managed databases, containers, autoscaling. Same code, better operating posture.
Re-architect to event-driven, serverless, or microservices. Reserved for workloads where the unit economics actually pay back the engineering investment.
Sometimes the right call is to swap to SaaS, switch off the workload entirely, or keep it on-prem on purpose. We name that decision instead of brute-forcing the move.
Every regulated sector in KSA has its own residency, retention, and recoverability rules. We adapt the migration plan to the regulator before we adapt it to the cloud.
SAMA Cyber-Security Framework workloads with strict data-residency, replicated core-banking systems, and zero-data-loss tolerance during cutover.
NPHIES and electronic patient record systems migrated under National Health Authority residency rules, with no patient-record exposure during the move.
NCA-ECC-aligned cloud landing zones in local cloud regions, with mandated audit trails, classification labels, and air-gapped backups.
Order-management, POS, and loyalty systems migrated around peak trading calendars — Ramadan, White Friday, Eid — never against them.
OT/IT segmentation preserved across the move. Historian and SCADA stacks migrated with full process-control continuity and rehearsed safe-state cutovers.
OSS/BSS, billing, and subscriber-data platforms migrated under CITC licence conditions — with carrier-grade redundancy preserved through the cutover.
The cutover weekend is not the first time we run the runbook — it's the third. Two rehearsals against production-shaped data come first, with a documented go/no-go gate before the real one.
Every migration runs the same loop — discover, design, migrate, validate. Wave size and durations change with the estate, the sequence does not.
Application discovery, dependency mapping, and risk assessment using Cloudamize, Movere, Azure Migrate, and AWS Application Discovery Service — validated by stakeholder interviews.
Wave planning, target architecture, cutover runbooks, rollback procedures, and downtime windows agreed against the business calendar.
Pattern-matched execution. Pre-rehearsed cutover weekends. AWS MGN, Azure Migrate, Carbonite, Zerto, Veeam, Commvault — whatever the workload needs.
Functional testing, performance baselines, security review, and 30-day hypercare with a senior engineer on standby and daily standups.
The post-mortems of failed migrations always name one of these four. Each carries a named mitigation we build into the plan — not the apology.
A backup that was never restored, a database that drifted, a transaction that fell between the dual-write windows.
The 4-hour weekend window becomes 14 hours because dependency X took longer than the discovery doc estimated.
An undocumented dependency, an EOL library that the new platform doesn't run, or a configuration baked into the old hypervisor that doesn't transfer.
The migration goes live, something is wrong, and the team realises the rollback was never really tested under load.
What this enables once the cutover is done.
Same migration practice, framed as the operational posture: rehearsed runbooks, regulator-ready evidence, and a recovery story you have actually executed — not just documented.
Read the outcome pageWe engineer for it. Most cutovers use async replication, rehearsed runbooks, and DNS shifting so user-visible downtime is measured in seconds. For workloads where any downtime is unacceptable, we use blue/green or active-active patterns and rehearse the cutover end-to-end before the real one.
Yes. About a quarter of our migrations move workloads between clouds — typically for cost optimisation, vendor consolidation, or regional sovereignty (moving to local cloud regions).
Two to three weeks for a 200-application estate. We use a mix of agentless discovery (Cloudamize, Movere, Azure Migrate) and stakeholder interviews to validate the machine-generated map.
A 200-VM datacenter relocation runs 8–14 weeks end-to-end. A multi-region cloud migration of 1,500 workloads runs 4–9 months in waves of 50–80 workloads. SAP and mainframe projects are scoped individually.
Yes. Every migration includes 30-day hypercare — a senior engineer on standby, daily standups, performance baselines, and a documented hand-off into managed operations or your internal team.
Talk to a senior NAS migration architect about scope, residency, and downtime windows. Migration assessment back within a week.
Field-tested playbook covering phased delivery, residency, wave planning, cutover rehearsal, and post-go-live hypercare. Free to download.
Download the playbook EvidencePublished case studies for evidence of what migration engagements look like delivered end-to-end.
Case studies