Case Study 1: Mayo Clinic Platform Transformation
From Single-Team Support to Enterprise Shared Services
At a Glance:
- Organization: Mayo Clinic (via Turnberry Solutions)
- Role: Product Owner
- Timeline: November 2024 - June 2025
- Key Results: $611K cost savings + Enterprise platform transformation
The Challenge
Mayo Clinic's Foundation Platform team operated as a dedicated support unit for one patient portal team, creating multiple inefficiencies:
- Single-team focus - Platform capabilities locked to one application team
- Massive cloud overspend - GCP resources over-provisioned and never right-sized after launch
- Deployment downtime - Old-school deployment methods requiring service interruptions
- Underutilized expertise - Team's platform skills not leveraged across the enterprise
- Operational silos - No shared services model for platform capabilities
The organization needed both immediate cost relief and a strategic transformation to unlock platform value across multiple teams.
My Strategic Approach
Phase 1: Cost Optimization Through Right-Sizing
- Conducted comprehensive audit of GCP resource utilization across production, staging, and test environments
- Identified significant over-provisioning where resources were never adjusted post-launch
- Implemented systematic right-sizing strategy to match actual usage patterns
- Established ongoing monitoring to prevent future over-provisioning
Phase 2: Product-Centric Transformation
- Applied product management principles to platform team's existing capabilities
- Identified which services could be productized and offered to other business units
- Developed service catalogs and documentation for reusable platform offerings
- Created stakeholder communication framework to market new shared services
Phase 3: Zero-Downtime Deployment Strategy
- Led agile whiteboarding sessions to design Blue/Green deployment methodology
- Developed iterative approach to eliminate deployment downtime (organization is extremely downtime-sensitive)
- Created reusable service framework for Blue/Green deployments across teams
- Established continuous improvement process for deployment reliability
Technologies & Platforms: Google Cloud Platform (GCP) | Resource Right-Sizing | Blue/Green Deployments | Service Productization
Results Delivered
💰 Immediate Financial Impact
- $611K projected savings for 2025 through GCP resource right-sizing
- Eliminated over-provisioning across production, staging, and test environments
- Ongoing cost management processes to prevent future waste
🚀 Platform Transformation
- Shared services model replacing single-team support approach
- Multiple business units now supported (vs. original single team)
- Productized platform offerings enabling enterprise-wide efficiency
- Blue/Green deployment strategy in development (ongoing iterative improvement)
👥 Enterprise Value Creation
- Increased team reach from one to multiple business units
- Enhanced platform utilization across the organization
- Improved service delivery through product-centric approach
- Cultural shift toward enterprise shared services mindset
Key Learnings & Insights
Product thinking transforms platform teams. The breakthrough came from applying product management principles to platform capabilities. By productizing what the team already did well, we unlocked enterprise value that was previously invisible.
Cost optimization requires systematic approaches. The $611K savings wasn't from cutting services—it was from right-sizing resources to match actual usage. This taught me that cloud cost optimization is often about operational discipline, not technology limitations.
Iterative improvement works for complex technical challenges. The Blue/Green deployment strategy required agile whiteboarding and continuous refinement. Complex technical transformations benefit from incremental progress rather than big-bang approaches.
Shared services adoption requires cultural change. Moving from dedicated to shared services meant helping both the platform team and customer teams embrace a new operating model focused on reusable, enterprise-wide capabilities.
Next Case Study: Case Study 2: CVS Health DevOps Transformation