Case Studies

The Client

A Fortune 10 company operating enterprise software systems that processed over $1 billion in yearly revenue. The client managed complex operations across multiple business units, supported by a suite of interconnected applications. We served as the primary contractor through an enterprise consulting firm.

Client name withheld under NDA. Details have been generalized to protect proprietary information.

The Challenge

The client's infrastructure was running on Azure with costs that had grown substantially as the platform scaled. Multiple enterprise applications — each with their own deployment pipelines, databases, and integration points — were tightly coupled to Azure-specific services. The client also needed to achieve SOC 2 compliance, which their existing configuration was not set up to support.

• High and growing monthly Azure infrastructure spend
• No SOC 2 compliance framework in place
• Multiple interdependent applications (5+ major systems) that needed to migrate without downtime
• A 9,000+ file codebase with 188+ REST endpoints that couldn't tolerate a "big bang" migration
• Three separate environments (dev, test, production) that all needed to be provisioned on the new platform

The Approach

We designed and executed a phased migration strategy that moved the entire platform from Azure to AWS while keeping all production systems operational throughout.

• Mapped the full dependency graph across all applications to identify migration sequence and risk points
• Designed a multi-account AWS architecture isolating dev, test, and production environments with proper IAM boundaries
• Migrated databases to AWS RDS with validated backup and restore procedures
• Rebuilt deployment pipelines for AWS, implementing CI/CD automation across all environments
• Configured Lambda functions with provisioned concurrency to handle peak dispatch hours with sub-second response times
• Designed and implemented SOC 2 controls across the new AWS infrastructure
• Built automated database backup systems with point-in-time recovery
• Developed monitoring and alerting using CloudWatch for all production services

The Results

AWS (Lambda, EC2, S3, RDS, Amplify, IAM, VPC, CloudFormation, CloudWatch), Python, SQL Server, REST APIs, CI/CD automation

The Client

An enterprise consulting firm that served as the primary contractor for Fortune 10 operations. This engagement preceded and led to the cloud migration work described above. Client name withheld under NDA.

The Challenge

The client's platform had grown to 9,000+ files with 188+ REST endpoints. Adding new modules — new entity types, API endpoints, database layers, validation logic, and UI components — required creating dozens of files that followed established patterns. Developers were spending significant time on repetitive boilerplate rather than business logic, and inconsistencies were creeping in across modules built by different team members.

The Approach

• Analyzed existing codebase patterns to identify every repeating structural element
• Designed a template engine that could generate complete file sets: entity classes, repository layers, service layers, REST controllers, validation logic, database migrations, and test scaffolds
• Built 380+ templates covering the full stack of the application
• Created a configuration-driven approach where a new module could be defined in a spec file and the entire file set generated in seconds
• Included built-in documentation generation so new modules shipped with consistent inline docs

The Results