Our correlation and AI engine brings precision, context and meaning to users.
It combines anomaly detection, topology-based RCA and ChatGPT integration to surface root cause and speed-up resolution.
that delivers precise answers
See topology elements and dependencies from multiple perspectives, and visually pinpoint potential root-causes and impacts.
Works for dynamic infrastructures
Unryo captures changes in real-time. The model is dynamic, updated as changes detected, which works well for dynamic environments such as Kubernetes or cloud services.
See past dependencies, even for nodes that not longer exist.
Get started with 3 easy steps
1. Choose your deployment
Cloud-Hosted by us, or On-Premise (Kubernetes, Docker, vApp)
2. Connect your Prometheus
Or any other data source, using a non-intrusive data collection, with no agents deployed.
3. Explore insights
Unryo finds relationships, anomalies, correlations - and presents results in interactive maps & AI assistant.
Level up your
with topology maps and correlation
Unryo is the only topology engine that automatically discovers and aggregates dependencies from all your monitoring systems.
Unryo enables teams with multi-layered topology visualization and clear context knowledge, at any moment in time. It ingests dependencies information from a variety of data sources, with no agent deployed and no impact on your infrastructure. It understands metadata associated to metrics, events and logs with out-of-the-box integrations that cover open-source monitoring solutions, cloud platforms, kubernetes, time-serie DBs, log engines, data warehouses and REST APIs.