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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.

TopoMap Kubernetes.png
TopoMap Kubernetes.png

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.

TopoMap Kubernetes.png

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.

TopoMap Kubernetes.png
TopoMap Kubernetes.png

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.

TopoMap Kubernetes.png

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.

See for yourself

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