40% Lower Cloud Costs and 33% Faster Database Queries After an Azure-to-AWS Migration

A US-based healthcare technology company runs EHR, practice management, telemedicine, and revenue cycle tools for medical practices nationwide. Mindbowser, an AWS Advanced Consulting Partner, migrated its full infrastructure from Microsoft Azure to AWS under the AWS Migration Acceleration Program, cutting cloud spend and improving response times without disrupting clinical operations.

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Customer Focus

A US-based healthcare technology company providing EHR, practice management, telemedicine, and revenue cycle tools for medical practices

Scope

Full infrastructure migration from Microsoft Azure to AWS under the AWS Migration Acceleration Program (MAP)

Stack

AWS RDS, EC2, EKS, MGN, CloudWatch, S3, KMS, Snowball, DataSync

Status

Delivered

Outcomes

Faster Queries, Lower Spend, Full HIPAA Compliance

Cloud spend dropped 30 to 40% through AWS Reserved Instances, EC2 Spot for batch processing, and S3 Intelligent-Tiering, delivered alongside a HIPAA-compliant environment aligned to the AWS Well-Architected Framework.

33%

Database query latency improvement, from 120ms on Azure to under 80ms on AWS Aurora

180

Production databases migrated to AWS RDS with read replicas and KMS encryption

30TB

Patient and operational data migrated via AWS Snowball and DataSync

The Problem

Azure Costs Had Crossed $30,000 a Month and Kept Climbing

Cloud infrastructure on Microsoft Azure had become financially and technically unsustainable, straining budgets and limiting room to innovate.

01
High Operational Costs

Cloud spend was exceeding $30,000 a month, straining budgets and limiting capacity for innovation.

02
Performance Bottlenecks

Latency and integration issues between databases and virtual machines impeded service delivery.

03
Scalability Constraints

Legacy Azure architecture lacked the flexibility to support growing user demand and the company's growth trajectory.

The Tech Stack

A full AWS-native stack for compute, data, containers, and observability, standing in for the retired Azure environment.

  • AWS RDS
  • EC2
  • EKS
  • MGN
  • CloudWatch
  • S3
  • KMS
  • ALB
  • Route 53
  • Snowball
  • DataSync
  • ELK Stack
  • Kubernetes
  • MSSQL
What We Built

A Phased AWS Migration Under the Migration Acceleration Program

A Roadmap Aligned to the AWS Well-Architected Framework

The engagement ran under AWS MAP, which provided architecture review, AWS credits, Snowball and DataSync tooling, and AWS ProServe alignment. Mindbowser built a migration roadmap sequencing every dependency before cutover.

  • Infrastructure assessment identifying dependencies, risk points, and optimization opportunities in the existing Azure setup
  • Database modernization: approximately 180 production databases migrated to AWS RDS with read replicas and KMS encryption
  • VM migration via AWS MGN to EC2 M6i and C6i instances with auto-scaling and cost-efficient deployment models
  • Data transfer: approximately 30TB of EHR records and telemedicine archives moved via AWS Snowball and DataSync

Planning a Similar Azure-to-AWS Migration?

Talk to us about what an AWS MAP engagement looks like for your infrastructure.

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Let’s #Transform Healthcare,# Together.

Partner with us to design, build, and scale digital solutions that drive better outcomes.

Location

Global Tech Teams LLC, 525 Washington Blvd, Industrious at Newport Tower, Jersey City, NJ 07310, United States.

Contact

+1 408 786 5974
contact@mindbowser.com
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