Case Study: Deepomatic accelerates development 12X with real-time streaming
Key results
The challenge
Deepomatic is an AI-powered computer vision platform analyzing 20 million field operations annually. Its monolithic services and complex API made it hard to access data and slow to build new features, so the team sought a data streaming solution to move to microservices and improve scalability.
The solution
Deepomatic chose Redpanda's fully managed Cloud service, allowing engineers to break down monolithic services and separate front/read APIs from operational ones, maintained by only two DevOps specialists.
“Working with Redpanda allowed us to start with event streaming without thinking about it, and with a fully managed service, our team can focus on innovation rather than maintenance.”
JTJuliette TisseyreVP of Engineering, Deepomatic
The results, in context
Deepomatic cut custom feature development time from six months to just two weeks, a 12X acceleration, and reports that 50% of its customers' business logic operations now rely on data streams. A stream-based microservice that would have taken months to build was delivered in a few days.