Resource Library

This e-book brings together four real-world stories from digital native leaders — Robinhood, Grafana Labs, Cursor, and Character.AI — who rebuilt their observability and telemetry pipelines on Confluent. Each case study breaks down the specific infrastructure challenges each team faced, the architectural decisions they made, and the measurable outcomes they achieved.

Results include a 45% reduction in logging costs at Robinhood, 10 GiB/s sustained throughput per cluster at Grafana Labs, near-zero engineering hours spent on scaling at Cursor, and a shift from batch to real-time analytics at Character.AI processing over 3 GiB/s.

A practical reference for engineering and platform leaders evaluating how to scale observability infrastructure without proportionally scaling cost or operational burden.