Case Study: Confluent achieves real-time observability at massive scale with Imply

Confluent - Customer Case Study

Confluent needed a way to deliver real-time observability across thousands of Kafka clusters in Confluent Cloud as data volumes and query demand grew rapidly. Using Imply’s Druid-based analytics capabilities, Confluent built an observability platform powered by Kafka and Druid to monitor high-cardinality metrics at massive scale.

With Imply, Confluent now ingests more than 5 million events per second and supports hundreds of subsecond queries, giving teams real-time visibility into cluster operations. The platform delivered a 100x increase in data and query load handling while maintaining fast, subsecond performance on critical metrics.

Confluent

Jay Kreps

CEO