OrderLens

OrderLens is a web app (with a lightweight desktop agent) that helps teams detect, explain, and prevent event ordering bugs in real-time systems. It ingests streams from Kafka/Kinesis/PubSub plus application logs, then reconstructs per-entity timelines using configurable ordering rules (event-time vs processing-time, vector/lamport hints, partition keys, idempotency keys). It flags anomalies like out-of-order delivery, duplicates, missing sequence gaps, clock skew, and cross-service causality breaks, and shows an interactive “why” trace that points to the producer, broker, or consumer stage most likely responsible. The product is not magic: it won’t fix bad schemas or missing IDs, but it will quickly surface where ordering assumptions break and provide reproducible evidence for incident reviews. Teams can export “ordering contracts” as tests and runtime guards to stop regressions before they ship.