Context
An enterprise cloud estate with significant compute, storage and database spend, reported to technical and financial stakeholders in different ways.
Challenge
Identify recurring waste, prioritise cost opportunities and create decision-quality cloud cost reporting that engineering and finance could both act on.
Approach
We built a trusted view of cost first, then used it to find, rank and act on opportunities.
- 01DataCUR/FOCUS-aligned cost datasets
- 02AnalysisCompute, storage and database usage
- 03PrioritiseOpportunities ranked by value and risk
- 04ActRightsizing and clean-up through change control
- 05SustainA backlog and a reporting cadence
- Analysed cost and usage data using modern cost datasets.
- Assessed storage, database and compute optimisation opportunities, including rightsizing.
- Analysed commitment options against actual usage.
- Introduced clean-up controls and dashboards for ongoing visibility.
Delivery
Findings were delivered as a prioritised backlog rather than a one-off report, with dashboards that engineering and finance teams could both use.
Outcome
A repeatable optimisation backlog and better cost visibility across technical and financial stakeholders.
Trusted reporting
One view of cost for engineering and finance.
A working backlog
Opportunities ranked and ready for delivery teams.
Controls in place
Clean-up practices that stop waste returning.
Technologies
- AWS CUR/FOCUS
- Athena
- QuickSight
- EC2
- RDS
- S3
- EBS