Elevata

Cloud-to-cloud migration

Azure to AWS Migration

Migrate workloads from Azure to AWS with service mapping, MAP eligibility assessment, and validated migration. AWS Advanced Partner with cloud-to-cloud migration experience.

Talk to an ExpertAWS Advanced Tier Services Partner

The challenge

Why companies migrate from Azure to AWS

Companies migrate from Azure to AWS for various reasons: better cost-performance ratio, superior AI services (Bedrock, SageMaker), higher reliability, broader service ecosystem, or need for specific AWS services. Cloud-to-cloud migration requires precise service mapping, network planning, and data migration strategy.

Who it's for

Companies on Azure that want to migrate to AWS

Companies using Azure that want to partially or fully migrate to AWS. Includes full migration scenarios, multi-cloud strategy with AWS as primary, or migration of specific workloads such as data, AI, and compute.

Migration map

What to map before moving from Azure to AWS

Migration should not start by copying servers. It should start with business reason, dependencies, data, cost, and operating model.

What to map

  • Applications, databases, jobs, integrations, identity, shared services, DNS, APIs, files, and external dependencies.
  • Azure VMs, AKS, Azure SQL, Cosmos DB, Blob, Functions, Key Vault, Monitor, Load Balancer, Application Gateway, and network.
  • Current cost baseline and AWS estimate including licensing, support, storage, data transfer, monitoring, and parallel environments.

Migration waves

  • Start with a representative and reversible workload, not the most critical system unless explicitly required.
  • Group by dependency, risk, change window, data, and internal-team capacity.
  • Define success and rollback criteria per wave before cutover.

Cutover

  • Plan for DNS, network, replication, freeze, validation, monitoring, communication, and rollback.
  • Low-downtime or near-zero downtime only where architecture, replication, and dependencies allow it.
  • MAP and credits are eligibility assessments subject to AWS criteria and approval.

Service mapping

Examples of Azure-to-AWS mapping

Compute, containers, and serverless

  • Azure VMs -> EC2 or modernization to ECS/Fargate where the workload allows.
  • AKS -> EKS or ECS, considering operations, skills, network, observability, and costs.
  • Azure Functions -> Lambda when events, limits, runtime, and observability are compatible.

Data, security, and operations

  • Azure SQL -> RDS/Aurora; Blob -> S3; Key Vault -> Secrets Manager/KMS; Monitor -> CloudWatch/OpenTelemetry.
  • Cosmos DB requires data-model, consistency, access, and cost analysis before choosing DynamoDB, DocumentDB, or another pattern.
  • Each mapping should record risk, owner, validation criteria, and rollback option.

Migration services

How we migrate from Azure to AWS

Azure-to-AWS service mapping

Detailed mapping of each Azure service to its AWS equivalent: Azure VMs to EC2, Azure SQL to RDS/Aurora, Azure Blob to S3, AKS to EKS, Azure Functions to Lambda, and more.

Data and database migration

Database migration with AWS DMS and Schema Conversion Tool. Support for Azure SQL, Cosmos DB, Azure Storage to Aurora, DynamoDB, and S3 with CDC and zero downtime.

Network and connectivity

VPC, subnet, Direct Connect, or VPN planning. DNS, load balancer, and firewall migration. Cutover strategy with automatic rollback in case of issues.

MAP assessment for migration

Azure-to-AWS migrations can be assessed for the AWS MAP program. Credits may be available for qualifying migrations, subject to AWS criteria and approval.

MAP

migration eligibility assessment

250+

launches on AWS

~55%

cost reduction in a real migration case

Related guides

After migrating to AWS

AWS Cost Optimization

Optimize AWS costs after migration with FinOps.

Explore resource

Secure Cloud Migration

Security and compliance for your new AWS infrastructure.

Explore resource

About Elevata

Your AWS partner for Azure to AWS Migration

AWS Advanced Tier Services Partner

Elevata is a consulting company specialized in helping your business tap into the full potential of AWS. Whether it's generative AI, modernization, or migration, our solutions are built to support efficient, sustainable growth. As an AI-native AWS Advanced Partner, we bring deep AWS expertise to help you adopt generative AI and build secure, scalable cloud environments aligned with your business needs and focused on outcomes you can sustain and build on over time.

More about us

Frequently asked questions

What do people ask about Azure to AWS Migration?

Which workloads can migrate with low downtime?

It depends on architecture, database, dependencies, DNS, network, and business tolerance. We use replication, parallel operation, validation, and rollback where the workload allows. Zero downtime should not be promised before assessment.

Does Azure-to-AWS migration qualify for MAP credits?

Azure-to-AWS migrations can be assessed for the MAP program. Credits may be available for qualifying migrations, but depend on AWS criteria and approval.

How long does an Azure-to-AWS migration take?

Depends on scope. Assessment and service mapping takes 2-4 weeks. Pilot workload migration takes 4-8 weeks. Full migration can take 3-12 months, executed in waves to minimize risk.

Next step

Assess your Azure-to-AWS migration

Get a free assessment with Azure-to-AWS service mapping and eligibility assessment for AWS programs such as MAP.

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