Cloud migration that lands on day-1 productivity.
Cloud migration is the process of moving applications, data, and infrastructure from on-prem servers to a public cloud provider, typically Microsoft Azure, AWS, or Google Cloud. GR IT Services runs the 6-Rs assessment, builds a cost model, rehearses the cutover, and delivers under a written SLA with 25-40% post-migration cost optimization.
- 80+Cloud migrations
- Azure/AWS/GCPMulti-cloud
- Day-1Productivity
- 24/7Coverage
Six workstreams from on-prem to cloud-native.
Cloud assessment
Workload inventory, dependency mapping, target-platform fit assessment, cost modeling. Output: written migration roadmap with prioritized waves.
Architecture design
The landing zone, identity federation, networking, security baselines, monitoring, and backup, all designed before anything moves. Aligned to the cloud adoption framework for whichever of Azure, AWS, or Google Cloud you land on.
Migration execution
Each workload gets its own strategy, whether that is moving it as-is, rebuilding it, or something between. Databases, file shares, and applications each move differently. Every cutover is rehearsed before the one that counts.
Optimization
Instances sized to actual load, a reservation and savings plan strategy, idle resources cleared out, and scaling configured properly. Most clients end up spending a quarter to two fifths less than they did before optimization.
Security baselines
CIS benchmarks applied, landing zones built secure rather than hardened later, identity as the primary boundary, and audit logging switched on from day one. Designed with SOC 2, HIPAA, NIST CSF, SOX and NYDFS Part 500 obligations in mind where they apply.
Operations handover
Runbooks written, dashboards built, alerting wired into wherever your team already looks, and an escalation path that reaches a person. The engineers who ran the migration can keep operating it afterwards if you want that continuity.
Cloud platforms we deploy and operate.
Four reasons clients pick us for the migration.
80+ migrations
Having seen the pattern before matters more than anything else on this page. We have moved workloads off premises into Azure, AWS, and Google Cloud across financial services, healthcare, retail, and education.
Cost-discipline first
Costs modeled before anything moves, instances sized correctly as they move, and optimization continuing afterwards. Most clients land a quarter to two fifths below what a straight lift-and-shift would have cost them.
Multi-cloud
Azure, AWS, Google Cloud, and hybrid arrangements across them. The platform gets chosen to suit your workloads rather than to suit our margin.
Certified senior engineers
Senior cloud engineers with Azure Solutions Architect, AWS Professional, and GCP Professional certifications, serving US businesses remote-first.
The 6 R's of cloud migration.
Rehost (Lift and Shift)
The application goes across essentially unchanged. This wins when speed matters more than cloud-native benefits, or when a license leaves you no choice. It is the fastest way out of a data center you are trying to exit.
- Best for: time-sensitive migrations, quick wins
- Effort: low
- Benefit: fastest cutover, minimal risk
- Common workloads: Windows file servers, line-of-business apps
Replatform
Small optimizations without touching the core architecture. The database moves to a managed service, network file storage is swapped for a managed equivalent, and the application is containerized without being redesigned. Real cloud benefit without a rewrite.
- Best for: balancing speed and optimization
- Effort: medium
- Benefit: managed-service benefits, lower ops burden
- Typical moves: SQL Server onto Azure SQL Managed Instance, MySQL onto a managed database service
Refactor / Re-architect
The application gets rebuilt as something cloud-native: services broken apart, serverless functions, managed databases, orchestrated containers. Every benefit the platform offers, at the cost of more time and considerably more risk during the move.
- Best for: long-term strategic value
- Effort: high
- Benefit: full cloud benefits, future-proof architecture
- Common workloads: legacy monoliths to microservices, container platforms
Repurchase (Replace)
The application gets retired in favor of a subscription product. Common with CRM, moving to Salesforce or Dynamics; with HR, moving to BambooHR or Workday; with accounting, moving to QuickBooks Online; and with mail, moving to Microsoft 365 or Google Workspace.
- Best for: standard business applications
- Effort: low (data migration only)
- Benefit: reduced maintenance, latest features
- Common workloads: legacy CRM, ERP, HRMS, email
Retire
Some applications simply get switched off. An assessment routinely finds that a tenth to a fifth of workloads are unused, duplicated, or replaced years ago by something nobody documented. Retiring them before the move cuts both the scope and the bill immediately.
- Best for: shadow-IT, unused or duplicated apps
- Effort: very low
- Benefit: reduced license cost, smaller migration scope
- Common workloads: legacy reporting tools, old test environments
Retain
Some things stay exactly where they are. Operational technology on a plant floor, data a regulator has pinned to a location, licenses tied to specific hardware, and equipment bought eight months ago all qualify. A hybrid design connects them to the cloud side without writing off the investment.
- Best for: OT systems, regulatory data, recent capex
- Effort: low (connectivity only)
- Benefit: preserves investment, regulator alignment
- Common workloads: SCADA, mainframes, on-prem-licensed apps
Migration profiles by sector.
Financial services
SEC- and NYDFS-regulated firms migrating to Azure with regulatory data-residency, NYDFS Part 500 compliance, audit-ready infrastructure-as-code.
Healthcare
Hospitals and physician groups moving clinical and administrative systems. Architecture designed around protected health information, HIPAA obligations built into where data sits, and a cutover scheduled around clinical operations rather than around IT convenience.
Professional services
Law firms and consultancies moving document management, billing, and matter workspaces, with architecture designed around confidentiality and ethical walls rather than retrofitted for them.
Tech and SaaS
Software companies moving production workloads, standing up landing zones properly, and rebuilding toward cloud-native architecture where the payback justifies it.
Retail and e-commerce
Retail groups moving ERP, storefronts, and the systems behind the registers. Scaling that survives a promotional weekend, with failover across regions.
Manufacturing and logistics
Manufacturers moving ERP, warehouse systems, and the platforms joining plant floor to business systems. Hybrid designs that leave operational technology where it needs to stay.
Education
Schools and universities migrating LMS, student-information systems, research platforms. FERPA-aligned residency, parent-portal continuity, exam-system uptime.
Government
Federal agencies and state and local government bodies migrating to Azure Government or commercial Azure, with data residency documented, FedRAMP and NIST 800-53 control alignment, controlled unclassified information kept properly segregated, and integration across agencies handled deliberately.
Five phases from on-prem to optimized cloud.
- 01Phase 1· 1-2 weeks
Discovery and Assessment
A thorough look at the infrastructure you have and how ready any of it actually is. You receive a workload inventory, a dependency map, a cost model, and a roadmap.
- Infrastructure inventory across servers, network, storage
- Application dependency mapping
- Performance baseline analysis
- Cost-benefit analysis with TCO model
- Risk assessment and cloud-readiness scoring
- 02Phase 2· 2-3 weeks
Migration Strategy and Planning
A detailed roadmap naming the chosen strategy for each individual workload, alongside the architecture design, the timeline, who is doing what, and what success will be measured against.
- Migration approach per workload (rehost / replatform / refactor / etc.)
- Target architecture design with landing zone
- Timeline with sequenced waves
- Resource allocation and team plan
- Success criteria per workload
- 03Phase 3· 2-4 weeks
Pilot Migration
The whole process gets run first on workloads nobody would miss. That validates the runbook, sharpens the approach, and gives everybody involved confidence before anything production touches it.
- Pilot workload migration (1-3 apps)
- Performance and security validation
- User acceptance testing
- Runbook refinement based on lessons learned
- Go / no-go decision for full migration
- 04Phase 4· 4-16 weeks
Full Migration Execution
Workloads move in waves rather than all at once. Each wave is rehearsed, validated, and signed off before the following one starts, with a working rollback available at every step.
- Wave-based workload migration
- Database, application, and data migration
- Continuous validation and rollback ready
- Documentation updated as workloads land
- Cutover communications to end users
- 05Phase 5· Ongoing
Optimization and Support
Continuous monitoring and optimization of the cloud environment. Right-sizing, reserved-instance strategy, idle cleanup; 25-40% cost reduction target post-migration.
- Performance monitoring and tuning
- Cost optimization (target 25-40% reduction)
- Security hardening and CIS benchmarks
- Auto-scaling recommendations
- Quarterly health checks and improvement reviews
Why managed cloud migration beats DIY.
| Feature | DIY migration Existing IT team | Managed migration GR IT cloud team |
|---|---|---|
Time to first production workload | 6-12 months | 6-12 weeks |
Cost-modeling 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) |
What clients see post-migration and post-optimization.
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 certified cloud engineers.
From assessment to managed cloud operations.
- 1
Assessment
2-4 weeks
Workload inventory, dependency mapping, cost modeling, target-platform fit. Output: migration roadmap and SOW.
- 2
Design
3-6 weeks
The landing zone, the networking, identity, security, and the backup design, all reviewed and signed off before a single workload moves.
- 3
Migrate
4-16 weeks
Workloads move in waves, each cutover rehearsed before it happens for real, with a validation gate between one wave and the next. Most workloads land without production noticing.
- 4
Optimize and operate
Continuous
Instances resized to real demand, reservations optimized, idle resources removed, and monitoring running continuously. Steady-state operations begin the first week after the move, not six months later.
Eight industries with active production workloads on cloud.
Financial services
SEC- and NYDFS-regulated firms with Azure regulatory residency.
Healthcare
Clinical and admin workloads with PHI-aware architecture and HIPAA residency.
Retail and e-commerce
ERP, e-commerce, POS backends with auto-scaling for peak retail traffic.
Manufacturing and logistics
ERP, WMS, OT-IT integration with hybrid OT continuity.
Education
LMS, SIS, research platforms with FERPA-aligned residency.
Government
US data residency with FedRAMP and NIST 800-53 control alignment.
Professional services
Document management, billing, matter-based workspaces with confidentiality-aware architecture.
Tech and SaaS
Production workloads, Azure landing zones, cloud-native refactors.
Cloud Migration Services, frequently asked.
Resources for cloud-migration leads.
Microsoft 365
Microsoft 365 usually moves in the same program as the infrastructure. Tenant administration, identity, and the security baseline handled as part of the wider cloud strategy.
Disaster recovery
Cloud-native recovery programs, most often built during the migration itself, with written recovery targets, a replication design, and a live rehearsal every year.
Server management
Running the servers once they are there: patching, monitoring, backup, and performance tuning across every cloud workload.
Talk to a cloud-migration specialist.
Three minutes of typing. The cloud team replies the same working day to arrange a discovery call, and you will hear plainly whether your workloads are actually ready to move and what timeline is realistic.
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