Motadata ObserveOps is a unified observability platform that brings metrics, logs, flows, traces, and topology together in one product. Built on Motadata's DFIT deep learning framework, it ingests telemetry from networks, servers, cloud workloads, containers, and applications, then correlates the signals so teams can pinpoint root cause without jumping between tools.
The platform runs adaptive AI that does not need pre-training, supports OpenTelemetry-native ingestion, and integrates with Motadata ServiceOps for closed-loop incident workflows. Six deployment modes cover on-premise, private cloud, public cloud, and hybrid setups, including High Availability, Disaster Recovery, and HA-over-WAN for regulated and distributed environments. Over 500 enterprises across 30+ countries use it for full-stack observability.