Amazon OpenSearch Service

Serverless : Auto-scaling Operation
Vector Search : Semantic search powered by Generative AI

My Role:
– Lead on the design of the end-to-end experience of the Serverless project from scratch. Such as security flow strategy, information architecture, and interaction design.
– Validated the design by conducting usability testing.
– Work closely with PM and engineer to power the serveless with generative AI.

Impact:
– Since the Serverless project release, daily actives have crossed 600 accounts and daily revenue has crossed $16K+, translating to $6M+.
– There is a large increase in the collections and indices created. Customers have created 3,500+ collections. One customer from GE Appliance shared that they are happy with the Serverless experience and will move larger workloads.

Teammates:

1 x UX Designer (Me)

1 x Product Manager

1 x UX writer

30+ x Engineers (API team + Console team)

Designed features for Serverless

Understand Context

OpenSearch is a fully open source search and analytics engine. Use cases include: Real-time application monitoring, log analytics, and a full-text search application.

The auto-provisioning option allows customers to manage all aspects of their operations with minimal setup and maintenance.

A growing number of applications involving large language models are generating generative AI. Customers are increasingly interested in leveraging semantic search to provide better quality contextual search results.