Enterprise Cloud FinOps & Cost Governance SaaS: Transforming Multi-Cloud Bill Shock into Proactive Spatial Intelligence
The complete 0-to-1 product design and systems architecture for an enterprise cloud cost optimization platform across AWS, Azure, and GCP at HashedIn by Deloitte. Spearheaded Gprofiler tree mapping, hierarchical cost drill-downs, and native dark mode for 24/7 Ops teams.
Role
Lead UX/UI Architect
Company
HashedIn by Deloitte
Key Recognition
Top Impactor & 3x Awards
Efficiency Gain
<3 Min Rule Setup
The Context: Enterprise Multi-Cloud Bill Shock
As Fortune 500 enterprises scale microservices across heterogeneous clouds (AWS, Microsoft Azure, Google Cloud Platform), cloud billing fragments across thousands of unmonitored compute instances, detached storage volumes, and orphan clusters.
Delayed Anomaly Discovery
Runaway cloud clusters and misconfigured autoscaling groups went undetected for 30–60 days until the monthly invoice arrived.
Cognitive Gridlock
Standard cloud portals presented endless rows of raw CSV billing data with zero spatial understanding of which engineering squads incurred the costs.
Night Shift Visual Fatigue
24/7 cloud operations teams suffered severe eye strain on bright white portals while monitoring telemetry during nocturnal incident response.
The Three-Persona Triad
We designed the information architecture to seamlessly satisfy three distinct enterprise personas with opposing goals:
"What is our aggregate cloud run rate versus budgeted forecast this quarter?"
Needs: Macro forecasts, burn down charts, unit economics."Which department has untagged resources and unreserved capacity?"
Needs: Tag compliance, allocation matrices, reservation recommendations."Why did our Kubernetes cluster spend jump 40% yesterday?"
Needs: Root-cause telemetry, container-level drilldown, one-click remediation.Architectural Solutions & UX Craft
1. Spatial FinOps: Gprofiler Tree Mapping
Spatial Data UXInstead of forcing users to scroll through 10,000 table rows, Ujjwal pioneered a hierarchical tree map (Gprofiler). Screen volume directly corresponds to cost expenditure:
• dev-sandbox-us-east: $32k [Anomaly: +45%]
Outcome: Operators immediately spotted runaway dev clusters within 5 seconds of opening the dashboard without running a single SQL query.
2. 3-Minute Rule Engine & Anomaly Configuration Wizard
Automation UXReplaced dense query syntax with an interactive 3-step wizard allowing engineers to configure cost anomaly policies in under 3 minutes (Metric ➔ Threshold Condition ➔ Automated Webhook / Slack Action).
3. High-Contrast Dark Mode & Modular Component Library
Design SystemsEngineered an accessible high-contrast dark theme with calibrated multi-cloud brand colors (AWS Orange, Azure Blue, GCP Red/Yellow) ensuring 24/7 Ops room legibility and zero visual fatigue.
Measurable Business ROI
Top Impactor
Company-Wide Annual Honor
Conferred for foundational 0-to-1 SaaS architecture
3x
Excellence Awards
Recognized across May '22, Dec '22, and May '23
<3 Min
Rule Creation Velocity
Reduced policy setup time from 15+ minutes
Retrospective & Design Leadership Reflections
What I learned: 0-to-1 enterprise products succeed or fail based on visual spatialization. When you convert raw CSV billing telemetry into proportional tree maps and rapid rule wizards, complex infrastructure management becomes intuitive for both CFOs and DevOps leads.