Brazilian fashion resale marketplace scaling logistics and observability
Enjoei operates Brazil's largest peer-to-peer fashion resale platform, processing secondhand apparel transactions at scale. The tech stack reflects a maturing infrastructure investment: Kafka for event streaming, Kubernetes for orchestration, and a full observability layer (Datadog, Prometheus, Graylog, OpenSearch). Active projects cluster around A/B testing, conversion optimization, and partner API integration, while pain points center on service reliability and scaling — suggesting the business is outgrowing its current infrastructure as it expands physical retail presence alongside the online marketplace.
Enjoei is a fashion resale marketplace founded in 2009 that operates both online and through physical stores across Brazil. The platform connects sellers looking to monetize unused clothing with buyers seeking discounted fashion, with claimed environmental impact through reduced garment production. Headquartered in São Paulo, the company employs 201–500 people and is privately held. The business model generates revenue from transaction fees across a network of individual sellers and buyers.
Adopts AWS, Kubernetes, Kafka, Docker, Terraform, and observability tools (Datadog, Prometheus, Graylog). Analytics via Tableau, Power BI, and Looker. Application stack includes Ruby, Python, SQL, and Firebase.
Currently adopting Go, while maintaining no active technology replacements. Focus is infrastructure modernization and observability improvements to support scaling.
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