Platform Core Technologies
Topology
The Topology Engine discovers nodes and dependencies from various data sources by analyzing metadata from the metrics, logs and events.
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
See topology elements and dependencies from multiple perspectives, and visually pinpoint potential root-causes and impacts.
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.
Topology-based Correlation
Unryo understands the causal and impacts relations between nodes and across layers, between infrastructure components and business 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.
Correlation & Analytics
Unryo detects anomalies and correlates automatically to give users insights with maximum of context.
As Unryo analyzes your data, it builds a dependency map by discovering resources and the relationships between them. This topology knowledge is used by the correlation engine to perform root-cause analysis and impact calculation.
Topology Correlation
Unryo detects anomalies from the data stream, and uses a set of algorithms from outlier detection to moving average, forecast and more.
Metric Anomaly Detection
Events can also come from your external systems (monitoring tools, SNMP traps, logs, ...). Events are processed, filtered and deduplicated. They end up with a common set of standardized tags.
Event Consolidation
The Business Impact Analysis lets you define Business Services, such as Customers, Departments, Contracts and more; then calculates their status, based on impact analysis driven by propagation rules
SLA/SLO
Monitoring
Visualizations
Immediately see which resources are in problem in this single pane of glass.
The sunburst shows the big picture, with drill-downs from high-level insights to technical details. Learn more >
OneClick 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.
Integrations
Get instant insights on the performance, health and capacity of your entire infrastructure.
Unryo comes with a curated library of templates and configurations that monitor specific technologies by understanding the key metrics/logs/events, discovering topology dependencies, recognizing anomalies in the incoming data, computing KPIs and providing dashboards.
Additional features
Powerful Collector
Our data collector compartmentalizes a set of specialized containers and support well-known protocols: SNMP, OpenTelemetry, PromQL and more. Collectors are entirely driven by the Connect Technology for a centralized control.
RBAC and Multi-Tenants
Unryo supports RBAC and multi-tenancy, by providing a very flexible mechanism to partition information and fine-graine access to users using any combination of metadata tags.
Enrichment
Add context to the ingested data by adding key dimensions such as customer name, business units, location, service levels or any other information. Enrich with data from a simple CSV file or from your external systems.
Why Unryo?
Contextual Insights are better than hundreds of dashboards.
The Problem:
With cloud native world and highly dynamic environments, traditional observability systems are flooded with the vast and growing number of telemetry data.
This abondance of metrics and dashboards results in poor visibility for operational teams.
The Solution:
Unryo takes a different approach by focussing on the data analysis based on the business goals. It correlates problems to identify which issues are generating the most severe impact and the ones that put at risks company’s critical SLAs.
By doing so, it prioritizes and triages issues for operation teams and gives them context as well as AI-driven recommendations to reduce the MTTR.
The choice of deployment: cloud or self-hosted
The Problem:
Maintaining an open-source observability toolset is time-consuming. Companies start by implementing dashboarding and alert notifications, but are facing challenges when looking for tools consolidation, cross-layer RCA, business impacts and AI/ML technics, which are necessary to reduce MTTR.
On another hands, the other approach of sending all your data to a vendor's cloud is an easy solution day one, but locks you in a proprietary platform, increasing subscription costs and giving you future challenges to get data out.
The Solution:
Unryo gives you the power of choice. The architecture of Unryo is unique and works differently to fit your monitoring strategy.
Going on-premise? With Unryo, flexibility doesn't mean complexity. We’ve hided all the complexity of operating and managing the platform, even when you have to deal with thousands of collectors spread across multiple data centers. With 80+ built-in, curated integrations, Unryo acts as the correlation/AIOps layer on top of your storage solutions adding key observability features for your teams
Going cloud? Unryo keeps a high degree of openness, and puts you in a better position to deal with the pace of change.
With Unryo, users focus on what's important
1
Teams get alerted when there is an issue, or even before the issue happens.
2
The AI Assistant gives teams all the context they need to understand the issue.
3
The probable Root-Cause is identified,
and the impact severity is quantified.
4
Teams have powerful visualizations, cross-layer topology maps, sunburst views, dashboards.
Benefits
Improve Visibility
Reduce MTTR
Track SLO/SLAs
Leverage your open-source infrastructure
No Vendor lock-in
Is Unryo replacing my Monitoring Stack?
You choose! The architecture of Unryo is unique and works differently to fit your monitoring strategy.
5pm-8pm
DAILY
Use Unryo as the
Correlation/AIOps Layer
If you are using a time-serie database like Prometheus, InfluxDB, VictoriaMetrics, Thanos, Cortex, Chronosphere or others, Unryo will query them and analyze key data to correlate and surface problems.
In other words, Unryo acts as the correlation/AIOps layer on top of your storage solutions,
adding key observability features for your teams:
Topology Map
Anomaly/RCA/Impact
SLA Tracking
AI Assistant
Your data (metrics, logs, traces) stays in your storage systems and is not duplicated (except if you want to).
5pm-8pm
DAILY
Use Unryo as the
All-In-One Observability Platform
Unryo can be your
all-in-one observability platform,
by collecting data directly from your devices and from your systems, providing a complete observability solution.
Template-Based Data Collection
Long-Term Storage
Analytics & Correlation
Visualization
Migration scenarios are available to retrieve data
from Datadog, Splunk, Chronosphere and others.
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.