CloudProud: Streamline, Unify, Revolutionize Data
A cloud management platform that simplifies infrastructure deployment, monitoring, and optimization for businesses. Acts as a virtual data source enabling seamless SQL-based querying for DevOps teams, cloud engineers, and IT professionals.
Role
UX Designer
Industry
B2B,SaaS,Cloud
MessagePlus bet on WhatsApp as the primary support channel, not email or chat widgets. I joined as the sole designer to take the product from zero to live in two months.
The Challenge
Data mesh is a technically sophisticated concept that most data tools still don't implement well. The design challenge was making a complex, infrastructure-level product feel approachable, without dumbing it down for the developers and data engineers who'd actually use it. The product also had no visual language, no established patterns, and no prior design work to build from.
What I built
Designed the end-to-end product experience from the ground up, information architecture, interaction patterns, and visual language. Focused on making the data source discovery and connection flow feel as simple as browsing a catalog, while giving power users the control they needed. Designed fine-grained access control interfaces that made security configuration transparent rather than buried.
0-to-1 product design for a data mesh platform
Data source discovery and connection workflows
SQL query interface integrated directly into the platform
Fine-grained access control and permissions UI
Onboarding flows for developers and data engineers
Visual language and component system built from scratch
Outcome
Delivered a complete product design that aligned with CloudProud's data-at-source philosophy. The 'Data as a Product' concept, where data sources are discoverable, queryable, and ownable, was expressed through a clean, developer-friendly interface that diverged from the bloated complexity of traditional data platforms.
Outcome
Delivered a complete product design that aligned with CloudProud's data-at-source philosophy. The 'Data as a Product' concept, where data sources are discoverable, queryable, and ownable, was expressed through a clean, developer-friendly interface that diverged from the bloated complexity of traditional data platforms.
