Case 03 · 2025
Cloud Cost Optimization
Waste diagnosis got 30% faster across 20+ AWS services.
Overview01 / The challenge
Help teams find cloud waste without drowning in billing CSVs and six different AWS consoles.
I designed a FinOps workspace that turns messy AWS usage into ranked recommendations teams can act on.
+30%
Diagnosis speed
20+
AWS services
1-click
Primary action
02 / Screens & moments
03 / How I worked
The approach.
Unify the cost model
Aligned EC2, RDS, S3, Lambda, volume, and snapshot data around resources and actionable states.
Prioritize recommendations
Designed cards that combined evidence, exact savings, operational risk, and a specific action.
Build for trust
Added search, profile context, recommendation rationale, and reversible decision states.
What was broken
- Billing and utilization evidence lived in separate service-specific consoles.
- Static reports identified waste but did not explain the next action.
- Engineering and finance teams used incompatible language for the same decisions.
What I aimed for
- Create a single-pane view of cost, utilization, and anomalies.
- Quantify the savings and risk of every recommendation.
- Make optimization decisions inspectable before execution.
04 / Results
What moved.
Made cloud waste 30% faster to identify.
Consolidated more than 20 infrastructure services and funnels.
Turned passive cost reporting into an action-oriented optimization workflow.
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