Companies often switch from Azure to AWS because dealing with duplicate infrastructure, rapidly rising cloud bills, or limitations tied to specific workloads makes Azure difficult to manage as they scale their businesses. If any of these situations apply to you, our engineers can help you plan and execute a controlled migration of business software, databases, servers, storage, identity, networking, and CI/CD pipelines.
Migration from Azure to AWS can help your team reduce cloud fragmentation, improve cost control, and modernize workloads without stopping core business operations. The strongest results come from migration processes that include architecture review, workload prioritization, and post-migration optimization.
Stronger fit for regulated workloads
For fintech, healthcare, insurance, and enterprise systems, AWS can support a more structured approach to SOC 2, HIPAA, PCI DSS, GDPR, and FedRAMP-aligned architecture. With AWS Control Tower, IAM Identity Center, centralized logging, encryption policies, and account-level guardrails, your team gets a clearer model for access control, audit readiness, disaster recovery, and long-term operational accountability.
IT experts are ready to start migrating your systems to AWS
Why migrate to AWS with Geniusee
“Azure to AWS migration is something we handle often, and we regularly see strong results in both financial and operational metrics when the migration process is planned correctly.
Moving applications to AWS, migrating databases, or deciding how to migrate virtual machines from Microsoft Azure to AWS requires accuracy at every step, as business operations cannot remain interrupted for long.
As an official AWS partner, Geniusee brings certified engineers with strong DevOps expertise, AWS security knowledge, and practical experience in AWS cloud operations, AWS management, and cost-efficient cloud architecture designed around each client’s actual workload needs.”
Nazar Hazdun
CTO at Geniusee
Geniusee helps you plan, execute, and optimize migration from Microsoft Azure to AWS with controlled cutovers, clear ownership, and AWS-native migration tooling.
AWS Migration for TradeSmarter Trading Platform
Tradesmarter partnered with Geniusee to stabilize its trading infrastructure, enhance performance, ensure high availability, and automate processes – all while transitioning to a scalable cloud environment.
Case details
Zytara: Gamified digital banking app
Zytara is a digital banking app built specifically for Gen Z, combining financial education with a gamified, customizable user experience. Our team developed a secure, blockchain-enabled platform that lets parents manage and monitor their children’s spending and saving, while giving young users a more engaging way to interact with money. We introduced game-inspired card skins, personalized modes, and a built-in shop featuring branded merchandise from e-sports, gaming, and music partners. One of the most unique aspects of the project was enabling users to manage digital assets and complete full NFT lifecycles directly within the app.
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Revenu: All-in-one POS and restaurant management system
When Revenu approached Geniusee, they had a clear vision: to transform the restaurant experience through a unified POS and management system. Together, we set out to create a solution that simplifies restaurant operations, boosts staff efficiency, and enhances customer satisfaction.
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Predictive marketing intelligence platform Wyzoo [Now Xperra]
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From fragmented travel requests to an AI-powered concierge platform
Geniusee partnered with a small travel company to develop an AI-powered concierge platform that integrates travel assistance and service management into a single digital environment. The MVP combines an AI-powered chatbot for travelers with an administrative platform for managing its content, users, data, and operations.
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RecruitmentHow Geniusee helped Forsyth Barnes speed up hiring by up to 90% with Imagine AI
Geniusee developed Imagine AI, a scalable recruitment platform for Forsyth Barnes. The system centralizes workflows, embeds AI for candidate matching and CV tailoring, and integrates compliance and reporting tools. This solution facilitates recruiters' work and ensures full visibility across the hiring cycle.
Case details
Geniusee follows a controlled, wave-based migration process built around AWS-native tools, Azure-specific discovery, and business continuity planning. Each phase has a clear technical output, so your team knows what moves, how it moves, and how downtime is reduced.
Assess
We review your Azure environment, map dependencies, and define the right migration path for every workload.
Technologies and focus areas:
– Azure subscriptions, resource groups, and Azure VMs
– AKS, Azure App Service, Azure Functions
– Azure SQL, MySQL, PostgreSQL, Cosmos DB
– Blob Storage, Azure Files, Azure Monitor
– Microsoft Entra ID, Azure DevOps, VNet, ExpressRoute
– AWS Transform, TCO model, 7 Rs classification
Output: workload inventory, risk register, target AWS architecture, and migration readiness report
Mobilize
We prepare the AWS foundation before production migration starts. This includes landing zone setup, identity planning, network design, pilot workloads, and rollback logic.
Technologies and focus areas:
– AWS Control Tower and AWS Organizations
– IAM Identity Center
– Amazon VPC, Direct Connect, VPN, Transit Gateway
– Route 53 and DNS planning
– Security baselines and access policies
– Pilot migration for 1-3 lower-risk workloads
Output: AWS landing zone, migration wave plan, cutover runbooks, and rollback plan
Migrate
We move Azure workloads to AWS in controlled waves, validate each environment, and keep source systems synchronized until cutover.
Technologies and focus areas:
– AWS Application Migration Service for Azure VM to AWS migration
– Amazon EC2 for migrated virtual machines
– AWS Database Migration Service for Azure SQL, MySQL, and PostgreSQL
– AWS Schema Conversion Tool for heterogeneous database migration
– AWS DataSync for Azure Blob Storage to Amazon S3
– Amazon RDS, Aurora, Amazon EKS, AWS Fargate, AWS Lambda
Output: migrated applications, databases, storage, and infrastructure with validated performance, security, and data integrity
Stabilize
After cutover, we monitor production behavior, tune critical components, and prepare old Azure resources for controlled decommissioning.
Technologies and focus areas:
– Amazon CloudWatch and AWS X-Ray
– AWS Backup and recovery checks
– AWS Systems Manager
– Load balancing, security groups, IAM policies
– Updated runbooks and support procedures
Output: stable AWS environment, verified recovery setup, operational dashboards, and Azure decommissioning plan
Optimize and modernize
Once the environment is stable, we improve cost, performance, and scalability where AWS-native changes make business sense.
Technologies and focus areas:
– EC2 right-sizing
– Amazon RDS and Aurora tuning
– S3 Intelligent-Tiering
– Savings Plans and Reserved Instances
– AWS Graviton for compatible workloads
– EKS, Fargate, Lambda, and container/serverless modernization
Output: optimized AWS environment, clearer cost control, and modernization backlog for future improvements
Certified AWS Partner delivering secure, scalable cloud-native solutions.
ISO-compliant processes ensuring quality, security, and reliability.
Trusted integration partner for financial data connectivity and open banking.
Team of ISTQB-certified QA engineers for world-class software testing.
Consistently rated ★5.0 by clients for reliability and delivery excellence.
Accredited partnership supporting advanced testing and continuous QA automation.
How do you move Azure VMs to AWS?
We usually move Azure VMs to AWS using AWS Application Migration Service. It keeps source machines synchronized through continuous replication before cutover, then launches them as Amazon EC2 instances. Before switching traffic, Geniusee validates performance, data integrity, security groups, and rollback readiness.
Can you migrate applications from Azure without long downtime?
Yes, but the method depends on the application architecture. Some applications from Azure can follow a lift-and-shift approach, while others require replatforming to containers, serverless components, or managed databases. Geniusee plans migration waves, prepares runbooks, tests rollback, and schedules cutovers around business-critical usage windows.
What happens to Azure App Service during the move?
Azure App Service does not have a universal target on AWS. Some workloads fit AWS Elastic Beanstalk, Amazon ECS, AWS Fargate, or AWS Lambda. We review runtime, scaling behavior, deployment pipelines, environment variables, and integrations before choosing the AWS-native services that best match the application.
Is lift-and-shift still a good migration strategy?
Sometimes. Lift-and-shift works well for stable systems that need to move first and modernize later. However, it rarely solves all architectural issues. Geniusee uses the 7 Rs framework to determine whether to rehost, replatform, refactor, retire, retain, repurchase, or relocate.
Can moving to AWS create real cost savings?
It can, but only when the migration plan includes cost engineering. AWS pricing models can reduce waste through Savings Plans, Reserved Instances, EC2 Auto Scaling, S3 Intelligent-Tiering, and Graviton-compatible compute. Geniusee also configures AWS Cost Explorer and FinOps routines so the post-migration environment does not quietly recreate the same spending issues on another cloud platform.
How do you handle Azure IAM, security, and compliance requirements?
“Azure IAM” usually means a mix of Microsoft Entra ID, Azure role-based access control, subscriptions, groups, and application permissions. AWS IAM works differently, so permissions should not be copied blindly. We map access patterns, redesign roles, and configure AWS IAM Identity Center, AWS Control Tower, AWS Config, centralized logging, and security guardrails where needed.
Can you include storage services, on-premises systems, or private cloud workloads?
Yes. Azure Blob Storage can be moved to Amazon S3 using AWS DataSync, while very large transfers may require AWS Snowball if bandwidth or egress costs become a constraint. We can also include on-premises or private cloud workloads in the same migration journey, especially when AWS Direct Connect, VPN, or hybrid networking is required.
