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The Unryo Platform analyses all your infrastructure and monitoring tool ecosystem to surface problems, find root-causes and calculate business impacts.
How it works
Unified, contextualized views
Unryo seamlessly connects to diverse data sources using a flexible approach: it uses a combination of connect (live queries) and collect (historical retention) to provide you with cross-domain visibility without unnecessary data duplication.
Agentic AI engine
Our AI agent operates across your entire data ecosystem, seeing it as one unified topology data fabric, with rich metadata and dependencies between all your IT and business services elements. This creates a trusted data model giving the AI agent access to the current data regardless of its location.
Single data platform
Unryo analyzes your data sources to learn and map dependencies from multiple layers. It understands the causal and impacts relations, and pinpoints root-causes of issues automatically in real-time.
See it in action
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Key Features
Get a live model of your IT and services
Topology Data Fabric
Our topology mapping integrates seamlessly with your infrastructure and monitoring tools, automatically discovering nodes and dependencies to build a dynamic, unified view of your hybrid environment. This topology data fabric is the starting point—providing trusted context for the AI agent, which then queries other relevant data sources as part of its reasoning process.
Built-in Connectors with your IT stack
Organizations struggle with devices, technologies and monitoring tools. Unryo connects seamlessly with them using out-of-the-box templates for most popular data sources: SNMP, Rest API, Prometheus, Kubernetes, ElasticSearch, OpenSearch, network devices, 5G Core, VMware vCenter, Azure Monitor, AWS, Google Cloud, and many more.
Multi-layer topology maps
Unryo analyzes data on-the-fly to learn and map dependencies from multiple layers. It understands the causal and impacts relations, and pinpoints root-causes of issues automatically in real-time.
Map Infrastructure with Services
Define your business services and entities - such as Customers, Departments, Contracts and more - in a service tree. Unryo then calculates their status based on impact analysis driven by propagation rules. By linking event correlation with business context, Unryo informs when a business-critical issue impacts an important service or customer, helping prioritizing remediation and keeping SLAs.
Let our AI agent work for you
AI Assistant
The AI assistant offloads your operation teams by automating the investigation work. It summarizes, in one view, the situation around the selected alert: why the alert triggered, the context around it, the correlation results, and prepare troubleshooting steps for the user.
Analytics and Machine Learning
Anomaly Detection ➜
As data gets in, Unryo processes it with ML algorithms to instantly detect anomalies, including outliers, baseline deviations, and metadata changes.
Forecasting and Prediction ➜
Unryo's forecasting predicts trends using historical data, applying advanced capacity trending algorithms to alert when capacity nears limits or performance drops below expectations.
Event Correlation ➜
Unryo ingests events from multiple sources, and normalizes them to ensure they get correctly mapped to the unified topology. Events are deduplicated and provide input for the AI agent.
Root-Cause Analysis ➜
Unryo understands the causal and impacts relations between nodes and across layers, between infrastructure components and business services. It knows, in real-time, how your resources are logically and physically connected.
Impact Analysis ➜
Using topology dependencies awareness, Unryo informs when a critical issue impacts other devices, important services, or customers.
Service Level Computation ➜
Define Business Services, such as Customers, Departments, Contracts, and more in a service tree; then calculates their status based on impact analysis driven by propagation rules.
One Click Console
You're in Control. Use the console to deploy configurations in clicks, to manage centrally all geo-distributed collectors. Configure everything simply and reduce maintenance to near-zero. Say goodbye to SSH, file transfers, complex stack management or fastidious scaling work.