Amazon Web Services design, migration, and managed services for UAE businesses.
AWS is the right answer for some workloads even on a Microsoft-centric estate: data-engineering pipelines, AI/ML at scale, cloud-native applications written for AWS services, customer-facing platforms targeting specific AWS services. We deliver AWS design, migration, and managed services with the same operating model as our Azure work. Landing zone aligned to AWS Well-Architected Framework, FinOps from day one, UAE-region default.
- Well-ArchitectedLanding zone framework
- UAE regionme-central-1 default
- FinOpsCost governance
- Managed24/7 operations option
Six AWS functions covered end-to-end.
Landing zone (AWS Well-Architected)
Multi-account strategy via Organisations, network topology, identity via IAM and IAM Identity Center, governance via Control Tower, security baseline via Security Hub, monitoring via CloudWatch.
Workload migration to AWS
Server migration via AWS Application Migration Service. Database migration via AWS DMS. Lift-and-shift or modernise as fits the workload. Migration sequencing aligned to risk.
FinOps and cost governance
AWS Cost Explorer, Budgets, Compute Optimizer, Savings Plans, Reserved Instances. Tagging strategy, cost allocation by business unit. Typical 20-40% savings within 90 days for un-governed accounts.
Security and compliance
AWS Security Hub, GuardDuty, Inspector, Macie. AWS Config for compliance enforcement. ISO 27001, SOC 2, PCI DSS, HIPAA documentation via AWS Artifact. PDPL alignment with UAE-region residency.
AWS managed services
24/7 monitoring, patching, backup, change management, incident response on AWS workloads. Priority-tiered SLA with named engineers. Same operating model as our Azure and on-prem managed services.
AWS AI and Bedrock
AWS Bedrock for generative AI access to multiple foundation models (Claude, Llama, Mistral, Amazon Titan). SageMaker for custom ML. Comprehend, Textract, Rekognition for pre-built AI tasks.
Four reasons clients pick GR for AWS.
Multi-cloud capable team
We deliver Azure and AWS with the same operating model. For Microsoft-ecosystem businesses with specific AWS workloads, one accountable partner covers both clouds. No vendor handoffs at cross-cloud boundaries.
Landing zone before workloads
AWS Well-Architected landing zone deployed before any production workload migrates. Saves the typical 30-40% remediation that comes from un-governed AWS adoption.
UAE region by default
me-central-1 (UAE) deployed by default for workloads handling UAE-resident data. me-south-1 (Bahrain) as alternate. PDPL-aligned data residency from day one.
Honest about Azure vs AWS
For most UAE Microsoft-ecosystem businesses, Azure is the right primary cloud. We use AWS where it specifically fits the workload (data engineering, AWS-native apps, customer platforms targeting AWS services), not as a default.
Six scenarios where AWS fits better than Azure.
Cloud-native startups
Startups building on AWS-native services from inception, no Microsoft footprint, AWS-fluent team.
Data engineering at scale
AWS Redshift, EMR, Kinesis ecosystem; mature data-engineering tooling for big-data workloads.
Customer-facing SaaS platforms
Platforms targeting customers who are themselves AWS users; consumer-scale e-commerce.
Specific AWS ML workloads
SageMaker-trained models, AWS-specific computer vision, Bedrock-based applications.
High-traffic e-commerce
Consumer-scale e-commerce platforms on AWS Lambda, DynamoDB, Aurora; cost-per-request models.
Multi-cloud by design
Enterprises explicitly choosing multi-cloud (Azure for Microsoft, AWS for everything else) for resilience or strategic reasons.
Honest side-by-side for UAE context.
| Feature | AWS | Azure | Google Cloud |
|---|---|---|---|
UAE region | me-central-1 | UAE Central + UAE North | Limited UAE |
Microsoft ecosystem fit | Connectors | Native | Connectors |
Hybrid AD integration | Federation | Native via Entra Connect | Federation |
Service marketplace breadth | Widest | Wide | Narrower |
Mature data-engineering tooling | Strongest | Strong via Fabric | Strong via BigQuery |
GenAI platform | Bedrock | Azure OpenAI + AI Foundry | Vertex AI |
Cost-per-workload (typical) | Competitive | Competitive | Competitive |
Cloud Solution Provider tier (UAE) | AWS partner network | CSP via us | Reseller |
Four phases from assessment to managed steady state.
- 1
Assessment and strategy
2 weeks
Workload inventory, AWS service-fit analysis, TCO model, target architecture. Output: written AWS adoption strategy with phasing.
- 2
Landing zone deployment
3-4 weeks
Multi-account strategy, network topology, IAM Identity Center, Control Tower, Security Hub baseline, CloudWatch monitoring, tagging and FinOps controls.
- 3
Workload migration
8-16 weeks (variable)
Migration in waves by priority and risk. Application Migration Service or Database Migration Service as appropriate. Cutover orchestrated with named runbooks.
- 4
Managed steady state
Continuous
24/7 monitoring, patching, backup, security alerting. Monthly FinOps review, quarterly architecture review. Ongoing optimisation.
“We built our core customer platform on AWS because the data-pipeline tooling fit our use case better than Azure. GR runs our AWS environment alongside our Microsoft tenant. The two-cloud setup is operationally smooth because the same team covers both. No silo, no vendor blame games when a cross-cloud issue happens.”
What buyers ask before adopting AWS.
Services that pair with AWS.
Book an AWS scoping call and get a written assessment in 5 days.
A scoping call covers current state (on-prem, Azure, AWS, hybrid), business outcomes, workload mix, target architecture. Output: written AWS adoption strategy with phasing and TCO model.
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