FEATURES
Topology Engine
The Topology Engine discovers nodes and dependencies from various data sources by analyzing metadata from the metrics, logs and events.
Multi-Layer Dependancy Maps
See topology elements and dependencies from multiple perspectives, and visually pinpoint potential root-causes and impacts.
The only engine that aggregates topology from diverse sources
Simply connect, then the magic operates.
Unryo works automatically using out-of-the-box templates for most popular data sources: Prometheus, InfluxDB, Elastic, OpenSearch, network devices, 5G Core, VMware vCenter, Azure Monitor, AWS, Google Cloud, and many more.
Absolutely multi-layers
Unryo understands the causal and impacts relations between nodes and across layers, between infrastructure components and business services.
Works for dynamic infrastructures
Unryo knows how your resources are connected, logically and physically, in real-time. The model is dynamic, updated as changes detected, which works well for dynamic environments such as Kubernetes and cloud services.
Time Travel
See past dependencies, even for nodes that not longer exist.
Add your custom data sources
Unryo’s topology model is extensible. Add your own templates to enrich the model with your custom nodes, dimensions and properties.
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.