Shutterfly's accelerated cloud transformation in migrating VMware workloads to AWS
Reduce technical debt and accelerate innovation.
In this customer story, you'll see how a modern VMware environment allows a leading e-commerce brand to:
- Migrate 100% of VMC servers to AWS
- Achieve ~25% operating cost reduction
- Accelerate releases through CI/CD
To see how VMware migration can lower costs and increase agility, read the customer story.
What prompted Shutterfly's migration to AWS?
Shutterfly faced recurring capacity and scalability issues with its on-premises VMware vSphere environment, which housed over 2,000 virtual machines. The need to reduce operational costs, boost agility, and unlock innovation prompted the company to migrate to AWS, which had already been chosen as a strategic partner for its reliability and breadth of services.
How did Shutterfly approach its cloud migration?
Shutterfly utilized a wave planning approach, grouping applications and infrastructure into manageable phases based on dependencies and technical complexity. This method allowed them to break down the migration into smaller steps, reducing risk and improving efficiency. They also right-sized their environment, reducing their VM footprint from over 2,000 to 1,200.
What benefits did Shutterfly experience post-migration?
Post-migration, Shutterfly achieved about a 25% reduction in operating costs through license avoidance and right-sizing. They also experienced enhanced reliability, with no high-severity incidents reported after the migration. The transition allowed for faster feature releases and the opportunity to leverage AWS's managed services for further innovation.

Shutterfly's accelerated cloud transformation in migrating VMware workloads to AWS
published by Integral & Open Systems,Inc
Integral & Open Systems is on a mission to empower enterprises to take control of their technological destiny. Founded in 2009, we've been at the forefront of delivering holistic technology strategies that encompass cloud services, cloud migration, data engineering, and Generative AI infrastructure.
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