
Workload inventory, dependency mapping, target-platform fit assessment, cost modelling. Output: written migration roadmap with prioritised waves.
Landing zone design, identity federation, networking, security baselines, monitoring, backup. Cloud-adoption-framework aligned for Azure, AWS, or GCP.
Lift-and-shift, refactor, or replatform per workload. Database migrations, file-share migrations, application replatforming. Cutover rehearsed before the real one.
Right-sizing, reserved-instance/savings-plan strategy, idle-resource cleanup, auto-scaling configuration. Most clients see 25-40% cost reduction post-optimization.
CIS benchmarks, secure landing zones, identity-first architecture, audit logging. Compliance-aware for ISO 27001, NIST CSF, SOX, NYDFS Part 500 clients.
Runbooks, monitoring dashboards, alerting integration, on-call escalation. Same team that migrated runs the cloud post-migration if you want continuity.
Pattern recognition matters. We have moved workloads from on-prem to Azure, AWS, GCP across financial services, healthcare, retail, education.
Cost modelling before migration, right-sizing during migration, optimization after migration. Most clients save 25-40% vs naive lift-and-shift.
Azure-native, AWS-native, GCP, plus hybrid configurations. We pick the platform that fits your workloads, not the one we resell.
Senior cloud engineers based in the United States with Azure Solutions Architect, AWS Professional, and GCP Professional certifications.
Move applications as-is to the cloud with minimal changes. Best when speed matters more than cloud-native gains, or when the licence forces it. Fastest path to leaving the on-prem datacentre.
Make minimal cloud optimisations without changing core architecture. Move database to managed RDS, swap NFS for managed file storage, containerise without redesign. Some cloud benefits without rewrite.
Redesign applications to be cloud-native. Microservices, serverless functions, managed databases, container orchestration. Maximum cloud benefits, more time and risk in the move.
Replace the application with a SaaS alternative. Common for CRM (Salesforce, Dynamics), HR (BambooHR, Workday), accounting (QuickBooks Online, Xero), email (M365, Workspace).
Decommission applications that are no longer needed. Cloud assessment often reveals 10-20% of workloads are unused or duplicated. Retiring before migrating reduces scope and cost immediately.
Keep certain workloads on-prem. Common for OT systems, regulator-bound data, hardware-tied licences, very recent capex. Hybrid architecture with cloud-on-prem connectivity preserves existing investment.
SEC- and NYDFS-regulated firms migrating to Azure with regulatory data-residency, NYDFS Part 500 compliance, audit-ready infrastructure-as-code.
Hospitals and medical groups migrating clinical and admin workloads. PHI-aware architecture, HIPAA-compliant residency, regulator-coordinated cutover.
Law firms and consultancies migrating document management, billing systems, matter-based workspaces. Confidentiality-aware architecture.
SaaS companies migrating production workloads, building Azure landing zones, refactoring to cloud-native architectures.
Retail groups migrating ERP, e-commerce platforms, POS backends. Auto-scaling for peak retail traffic, multi-region failover.
Manufacturing operations migrating ERP, WMS, OT-IT integration platforms. Hybrid architectures preserving on-prem OT continuity.
Schools and universities migrating LMS, student-information systems, research platforms. FERPA-aligned residency, parent-portal continuity, exam-system uptime.
Federal and Emirate-level entities migrating to Azure with sovereign-cloud residency, NIST CSF T-control alignment, classified-data segregation, and inter-agency integration.
Comprehensive analysis of your current infrastructure and cloud readiness. Output: workload inventory, dependency map, cost model, migration roadmap.
Detailed migration roadmap with chosen strategy per workload (the 6 Rs). Architecture design, timeline, resource allocation, and success criteria.
Test the migration process with non-critical workloads. Validate the runbook, refine the approach, build team confidence before production cutover.
Systematic migration of all workloads in waves. Each wave rehearsed, validated, and signed off before the next begins. Rollback capability at every step.
Continuous monitoring and optimisation of the cloud environment. Right-sizing, reserved-instance strategy, idle cleanup; 25-40% cost reduction target post-migration.
| Feature | DIY migration Existing IT team | Managed migration GR IT cloud team |
|---|---|---|
Time to first production workload | 6-12 months | 6-12 weeks |
Cost-modelling accuracy | Often 30-50% off | Within 10% |
Cutover rehearsal | Often skipped | Standard practice |
Post-migration optimization | Limited | 25-40% cost reduction typical |
Compliance-aware design | Variable | Framework-aligned |
Day-1 incident response | Best-effort | 5-min P1 SLA |
Total cost (3-year mid-market) | Higher (delays + over-provisioning) | Lower (optimization + speed) |
Average infrastructure savings after right-sizing and reserved-instance strategy.
High availability with redundancy, failover, and managed-service SLAs.
Accelerated application deployment via IaC and CI/CD pipelines.
Improved application latency and throughput on cloud-native infrastructure.
Replication-based migration and rehearsed cutover windows.
Round-the-clock support from US-based certified cloud engineers.
2-4 weeks
Workload inventory, dependency mapping, cost modelling, target-platform fit. Output: migration roadmap and SOW.
3-6 weeks
Landing zone, networking, identity, security, backup architecture. Reviewed and signed off before any workload migration.
4-16 weeks
Workloads migrated in waves, cutover rehearsed before each wave, validation gates before next wave. Most workloads complete with no production impact.
Continuous
Right-sizing, reserved-instance optimization, idle cleanup, ongoing monitoring. Steady-state cloud operations from week 1 post-migration.
“We had 23 on-prem servers running our trading floor and back office. GR IT spent four weeks on assessment, six weeks on design, and twelve weeks migrating to Azure with zero trading-day disruption. Two months post-migration, our cloud spend dropped 32% from the initial estimate after right-sizing and reserved instances. The cost discipline was as valuable as the migration itself.”
SEC- and NYDFS-regulated firms with Azure regulatory residency.
Clinical and admin workloads with PHI-aware architecture and HIPAA residency.
ERP, e-commerce, POS backends with auto-scaling for peak retail traffic.
ERP, WMS, OT-IT integration with hybrid OT continuity.
LMS, SIS, research platforms with FERPA-aligned residency.
Sovereign-cloud residency with NIST CSF T-control alignment.
Document management, billing, matter-based workspaces with confidentiality-aware architecture.
Production workloads, Azure landing zones, cloud-native refactors.
M365 cloud services often migrate alongside infrastructure. Tenant administration, identity, security baseline as part of broader cloud strategy.
Learn moreCloud-native DR programmes. Often deployed during migration: written RPO/RTO targets, replication architecture, annual live rehearsal.
Learn morePost-migration server operations. Patch management, monitoring, backup, performance tuning across cloud workloads.
Learn moreThree-minute form. Our cloud team gets back the same business day to schedule a discovery call. We will tell you whether your workloads are cloud-ready and what the realistic timeline looks like.
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