CausalTrace

CausalTrace is a web app (with a lightweight agent/CLI) that helps engineering teams detect, explain, and prevent event-ordering bugs in real-time pipelines. It ingests stream metadata (Kafka headers, timestamps, partition/offsets, trace IDs) and builds a causal timeline to highlight where ordering assumptions break: clock skew, retries, duplicates, out-of-order delivery, and cross-service race conditions. You get an “ordering confidence score” per topic/stream, plus concrete evidence: which producers/consumers, which partitions, and the exact sequence that violated invariants. The product focuses on being practical: it doesn’t try to replace your observability stack; it plugs into it and answers one question fast—“did we process events in the right order, and if not, why?” Expect some setup friction (agents and permissions), but the payoff is fewer midnight incidents and faster root-cause analysis.