Case Study: Vortexa achieves rapid, reliable real-time analytics and faster Kafka operations with Lenses

How Vortexa makes Apache Kafka smooth sailing

Vortexa, an energy analytics provider delivering real-time data on global oil movements, faced a brittle Apache Kafka environment that was effectively a black box: incidents took days to debug, small mistakes could bring down clusters, specialist skills were scarce, and releases were slow. To stabilize and observe their streaming platform on Amazon MSK they adopted Lenses (Lenses.io) as their data operations portal, bringing a single UI and tooling layer across their MSK and Kubernetes stack.

Lenses gave Vortexa end-to-end visibility (message inspection, topic profiling, topology views, and Kafka Connect orchestration with Helm charts), reduced ad‑hoc task times from 5–10 minutes to seconds, and cut troubleshooting from hours to about one minute. The company reports 15% working hours saved on Kafka management, deployments that now take minutes instead of days, a 200% increase in Kafka users, and a 90% reduction in AIS signal noise through QA in Lenses.io.

Vortexa

Maksym Schipka

Chief Technology Officer