SaaS · Data Platform

Real-time data orchestration.

DataNimbus
99.99%Platform uptime
5M+Records / day
60%Lower infra cost

The Challenge

DataNimbus needed to move and transform huge volumes of data in real time, but their existing batch jobs were brittle, hard to observe, and expensive to scale as customer demand grew.

Our Approach

We designed an event-driven pipeline with horizontal autoscaling, end-to-end observability, and graceful failure handling — so throughput grows with load and issues surface before they reach customers.

The Outcome

The platform now processes millions of records a day with near-perfect uptime, costs far less to run at scale, and the team ships new connectors with confidence.

Stack

GoKafkaKubernetesClickHouseGrafana