A deep dive into Synyega’s data-led AWS migration engagement — powered by the Cloudamize Platform.

The Challenge

A Fashion Icon Faces a Data Centre Deadline

For a global luxury fashion house, the decision to exit its incumbent data center wasn’t just an infrastructure upgrade, it was a strategic inflection point. The organization needed to move workloads to AWS while simultaneously evolving its technology posture, automating database management, and demonstrating meaningful progress against its sustainability commitments.

The challenge was multi-layered. The team needed to model several migration scenarios — including full management automation via AWS — and answer a critical licensing question: could their existing software licensing capacity be re-invested in the cloud rather than abandoned? Cost, risk, operational efficiency, and carbon footprint all had to be addressed in a single, coherent plan.

The Approach

Deep Data as the Foundation for Confident Decision-Making

Partner Synyega turned to the Cloudamize Platform to provide the granular, trustworthy data that underpins every successful cloud migration engagement. Without accurate visibility into the existing environment, scenario modelling is guesswork — and guesswork at enterprise scale carries serious financial and operational risk.

Trustworthy, deep granular data is the cornerstone of any meaningful cloud migration output.

The Cloudamize agent analyzed the network to build a comprehensive inventory and software deployment dataset. Alongside this, it captured utilization data across compute, storage, and memory, giving Synyega the full picture needed to map each workload to its optimal AWS instance type and size.

Platform Components Utilized

The engagement drew on three core Cloudamize capabilities: 

  • DISCOVER: to establish a complete estate inventory
  • ANALYZE: to understand utilization patterns and right-sizing opportunities
  • PLAN: to model migration scenarios and quantify the financial impact of each option

The Results

£850K in Projected Savings — and a Roadmap for Sustainable Cloud

Armed with Cloudamize data, Synyega delivered a comprehensive migration and licensing strategy that generated significant, quantified value across multiple dimensions.

£850K

Projected total cost savings over 3 years

£500K

Licensing & support savings modelled

£80K

Identified reduction in SQL licenses

36%

Typical compute savings achieved

 

Beyond the headline numbers, the engagement gave the organization something equally valuable: confidence. By grounding every recommendation in verified utilization and licensing data, the team could demonstrate that the proposed cloud model would genuinely reduce risk, deliver operational efficiency gains, and support the brand’s sustainability commitments through a measurably lower carbon footprint.

Reach out if you’re ready to start a conversation around unlocking cost savings as you move workloads to the cloud.

Download the PDF of this case study here

Author

Matt Gale
Senior Technical Account Manager