AWS Reserved Instances and Spot pricing typically reduce compute costs versus equivalent Azure VMs, with Savings Plans on top for predictable workloads. For data-heavy workloads, Amazon S3 tiering and Glacier archival offer storage cost paths Azure Blob does not match at scale.
Amazon Bedrock, SageMaker, and Redshift give your team a broader AI and data toolchain than Azure's native equivalents. Most Avahi migrations are not just lift-and-shift. They unlock the AI solutions on AWS the move was for in the first place.
AWS operates 38 regions and 120 Availability Zones today. For latency-sensitive applications and regulated workloads with data-residency constraints, more zones means closer-to-user deployments and easier compliance footprints.
Move into AWS Control Tower landing zones with IAM, encryption at rest and in transit, and continuous monitoring built in. Avahi's security patterns layer least-privilege access, AWS Config, and GuardDuty from day one. Your compliance posture improves rather than just changing vendors.
AWS open-source support, broader marketplace, and licensing flexibility reduce the long-term lock-in cost Azure customers often discover only at renewal. Migrating now protects optionality for the next renewal cycle.
Eligible companies may receive a funded migration assessment depending on AWS funding availability.
If you've been searching for how to migrate from Azure to AWS, the assessment is where every Avahi migration begins. We map every workload, dependency, and data flow in your current Azure environment using AWS Application Discovery Service and our own readiness scoring. You leave with a workload inventory, a 7-Rs migration strategy per app, and a TCO comparison
Using AWS Control Tower and Well-Architected Framework patterns, we build a multi-account landing zone with IAM, networking (VPC, Direct Connect or VPN), encryption, and compliance guardrails configured to your regulatory environment. The landing zone is yours: Infrastructure-as-Code, fully documented, ready to scale.
AWS Application Migration Service (MGN) handles lift-and-shift VM moves when migrating from Azure to AWS. AWS Database Migration Service (DMS) replicates databases with near-zero downtime cutovers. AWS DataSync and Snow Family move data at the volume and bandwidth your timeline needs. Every wave is validated against staging before production cutover.
After cutover, we right-size instances, apply Savings Plans and Reserved Instances, set up CloudWatch monitoring and AWS Config compliance checks, and hand over runbooks. Optional AWS DevOps and managed services from Avahi (we hold the AWS MSP Competency) keep the environment tuned, secure, and on budget. Post-move AWS cost optimization keeps the savings compounding.
AWS Premier Tier Expertise Without the Cost of an In-House Team
Hiring a senior AWS engineer takes 3 to 6 months and locks you into a single skillset. Avahi brings 100+ AWS certifications and six AWS Competencies on day one, including Migration, Generative AI, and the AWS Managed Service Provider competency, backing our AWS cloud migration services end to end.
AWS-Funded Migrations for Eligible Companies
Eligible companies may receive partial or full AWS funding for their migration assessment and proof of concept depending on projected AWS consumption and project scope. We assess eligibility during the discovery call before any cost discussion.
A Methodology Aligned With AWS's Own Migration Framework
Avahi's delivery methodology follows the AWS Well-Architected Framework and the 7-Rs migration approach, applied at growth-stage speed. The same discipline that runs the largest AWS migrations runs yours, scoped to your size.
End-to-End Ownership, PoC to Production to Managed Services
You work with one team from assessment through optimization. No handoffs to an offshore subcontractor mid-project. Post-migration, our AWS MSP Competency team can keep your environment tuned, or we hand over full IaC and documentation if you want to operate it internally.
CIO, BrightCare Health
150 + cross-cloud migrations delivered
95 % of projects hit or exceed cost-savings targets within three months
Rising Azure fees and limited service depth hindered growth.
Avahi’s Jumpstart program ingested three years of transaction data, fine-tuned Titan embeddings, and deployed a SageMaker MLOps pipeline.
Annual savings of $600 K, query latency down 30 %, and new analytics features launched two months ahead of schedule.
Azure GPU costs and 30-second model latencies were blocking Sanas's next product launch. Sanas needed a GPU-scalable, secure environment for translation model training, and the 150 million-file migration had to happen with zero downtime.
An AWS-funded migration using DataSync, a Terraform-managed landing zone, and ECS auto-scaling. Sanas's entire ML pipeline moved to AWS in 7 days.
150M assets migrated, 50 % faster than plan
zero downtime during cut-over
6× lower inference latency on multi-AZ GPU stack
Projected 45 % OpEx savings from Spot & Savings Plans
Foresight, a healthcare diagnostics company, was running over two petabytes of data across siloed cloud projects with rising monthly costs and high availability demands for clinical workloads in a regulated environment.
Avahi designed a multi-account AWS landing zone with centralized networking, containerized workloads on Amazon ECS, migrated databases to Amazon RDS and ElastiCache via AWS DMS, and moved bulk data to Amazon S3 and Glacier tiers with AWS DataSync, all standardized in Terraform.
Reduced monthly cloud spend
Simplified storage and retention with S3 lifecycle tiering
High-availability architecture for regulated clinical workloads
Low-downtime database migration via DMS
Want a fast roadmap for your own Azure to AWS migration?
Eligible companies may receive a funded migration assessment depending on AWS funding availability.
Azure to AWS migration involves four stages: discovery and assessment to inventory workloads, designing a secure landing zone with IAM and guardrails, executing workload migration in validated waves using specialized AWS services, and finally, post-migration optimization. Avahi handles this process fast, moving growth-stage workloads from kickoff to production cutover.
The key challenges involve service mapping, data egress costs, application dependencies, and IAM or network policy reconfiguration. We at Avahi use our discovery phase and AWS Application Discovery Service to surface blockers early. Our Premier Tier methodology and AWS funding ensure these become manageable planning items rather than budget overruns.
AWS Application Migration Service (MGN) is the recommended path. It automatically converts Azure-based VMs into AWS-compatible EC2 instances with minimal manual intervention. For smaller migrations or specific use cases, AWS Server Migration Service (SMS) handles the agent-based replication. Avahi configures MGN against your Azure environment, runs a pilot migration to validate, then executes the production cutover in waves.
AWS Migration Hub is the central dashboard that tracks every workload moving from Azure to AWS: assessment, replication status, cutover, and post-migration optimization in one view. Yes, every Avahi migration uses it as the system of record so your team and ours work from the same status board. Migration Hub also integrates with AWS Application Migration Service, Database Migration Service, and Application Discovery Service.
Azure Migrate is Microsoft's discovery and assessment service for migrations into Azure. For migrating out of Azure into AWS, the equivalent is AWS Application Discovery Service paired with AWS Migration Hub. Avahi uses AWS-native tooling for outbound Azure migrations because the assessment data flows directly into AWS migration services and AWS funding workflows.
Most growth-stage migrations complete in weeks from kickoff to production cutover. Larger or more complex environments (multi-region, mainframe-adjacent, or refactor-heavy) may take longer. We scope the exact timeline during discovery before any contract is signed. Eligible companies may receive AWS funding.
Cutovers are scheduled during low-traffic windows and validated in staging first, so users stay unaffected.
Yes. We design VPN and Direct Connect links for phased migrations and ongoing data sync.
AWS guardrails and Avahi’s security patterns embed encryption, logging, and least-privilege IAM from day one.
Engagements are milestone-based; extend support only as long as you need it.
A migration expert will reach out within one business day.
