case study
Industry
Leasing & Mobility Software
Cloud Suite
Microsoft Azure
Results
Identified over €750,000 in annual savings
context
Client Context & Background
The client, a global leasing and mobility software company, needed to regain control of a cloud environment that had grown faster than the governance around it. Rising costs, legacy application complexity, and insufficient tagging meant leadership had limited visibility into where money was being spent, which customers were profitable, and which workloads were carrying technical debt. A deep dive revealed that key Virtual Machines were being utilized at less than 4% of their capacity, and the legacy application estate was preventing the team from adopting modern, scalable cloud features.
Results
Results & Outcomes Achieved
The engagement identified more than €750,000 in potential annual savings, with €320,000 immediately realisable at zero business risk through unused resource cleanup and cost avoidance by re-using resources. A further potential saving of €625,000+ through rightsizing of VMs, databases, disks and auto-scheduling could be achieved. An additional €115,000 in annualised savings is possible through a reservations/savings plan once wastage and rightsizing activities are complete. A one-off tagging implementation was complete to help the client ensure cost accountability across the business, and a fit-for-purpose tagging strategy and a FinOps maturity assessment to sustain the gains. Client has implemented SavingsPlan to achieve an annualised saving of €480K, while the identified optimisations are put on hold.
Process
Our Process & Key Observations
Finabeo ran a two-week Discovery Phase covering the full Azure estate. Using Optimus, the team analysed resource utilisation across VMs, databases and disks to quantify wastage and rightsizing opportunities. Immediate realisation initiatives were identified first, including orphaned resources with no business impact. A validation and impact assessment then quantified rightsizing savings, auto-scheduling opportunities. Finally, a reservations analysis priced the discount opportunity on the remaining stable workloads. We then provided a FinOps maturity assessment, tagging strategy to embed governance and helped with a one off tagging implementation.
