30-40% Lower Cloud Costs and 33% Faster Queries After a Full Azure to AWS Migration

A phased roadmap aligned to the AWS Well-Architected Framework

Mindbowser built a detailed migration roadmap for cost efficiency, performance, and scalability, executed under AWS MAP for architecture review, credits, and tooling support.

• Assessed the existing Azure setup to identify dependencies, risk points, and optimization opportunities
• Migrated approximately 180 production databases to AWS RDS with read replicas and KMS encryption
• Used AWS MGN to migrate Azure VMs to EC2 M6i and C6i instances with auto scaling
• Transferred approximately 30TB of patient and operational data using AWS Snowball for bulk transfer and DataSync for incremental sync
• Established AWS EKS clusters for containerized application management
• Deployed AWS CloudWatch and the ELK Stack for real time monitoring and logging

Working through the gaps between two cloud environments

The team adjusted database configurations to resolve MSSQL assembly and API restrictions against AWS security standards, and worked through VPC and networking discrepancies between the Azure and AWS environments. Data migration required accounting for Azure's unmanaged disk constraints, and authentication and compliance work was scoped to reach full HIPAA adherence. Historical audit data was migrated without loss to preserve the audit trail, and IP whitelisting was coordinated with an external e-prescribing network partner to keep that integration live through the cutover.

What changed after the cutover to AWS

Infrastructure costs dropped 30 to 40% through Reserved Instances, EC2 Spot for batch processing, and S3 Intelligent-Tiering. Database query latency fell from 120ms on Azure to under 80ms on AWS Aurora, a 33% improvement. A one hour trace test on the largest client database, 16 vCPUs, 64GB RAM, and 1500GB storage, showed 3 vCPUs and roughly 4GB RAM in use on a single run, and roughly 7 vCPUs and 6GB RAM under parallel load. The resulting infrastructure is HIPAA-compliant and aligned with the AWS Well-Architected Framework, and the internal IT team now has full control to manage, monitor, and scale operations directly.

Funded and supported through the AWS Migration Acceleration Program

The migration ran under AWS MAP, which provided architecture review, AWS credits, Snowball and DataSync tooling, and alignment with AWS ProServe. That structure supported HIPAA-grade security controls across the new environment, including KMS encryption for databases and a network layout built to keep patient and operational data compliant end to end.