The engine that turns telemetry into decisions
A layered, cloud-native architecture: it integrates information from corporate sources, models it as services and processes, and computes the indicators that matter in real time. Statistics and artificial intelligence over a model the business understands.
Four layers. One single data flow
Each layer has a clear job and hands its result to the next with enough context. That is how you go from raw data to decision, without anyone rebuilding anything by hand.
Connectors and data sources
Integration with monitoring and observability, CMDBs and inventories, service desk and BPM tools. The telemetry that already exists, without duplicating the stack.
AIOps calculation engine
It correlates, applies statistical control and machine learning, and computes technical and functional indicators at multiple levels. The heart that detects anomalies and estimates cause and impact.
Business modeling layer
Services, processes and dependencies modeled from the CMDB or from scratch. The translation of the technical into a language management recognizes.
Consuming the information
Real-time dashboards and alerts, tracking reports, an API for BI and a visual console of dependencies and impact.
Everything you need to read vital signs
- Integration with multiple sourcesMonitoring, observability, CMDBs, service desk and BPM.
- Automatic indicator calculationTechnical and functional, in real time and at multiple levels.
- Visual modeling consoleServices, processes and dependencies, with impact view.
- Machine learning algorithmsAnomaly detection and behavior projection.
- Synthetic indicatorsE2E availability, capacity, service desk quality, UX.
- Custom views and reportsEach profile sees what it needs, from the technician to management.
- Business continuity scenariosRisk and impact simulation before it happens.
- IT Balanced ScorecardsAligning IT with business objectives.
- Sync with CMDBs and BPMsA living model, always aligned with reality.
The same truth, for every audience
Service status is consulted in whatever way suits each team, always from the same calculation.
Real-time dashboards
Live dashboards with the health, compliance and risk of each service.
Actionable alerts
The right signal, on the right channel, before the breach arrives.
Tracking reports
Evolution of service levels and functional indicators for management.
API for BI
Integration with visualization and business intelligence tools.
Dependency console
Walk the cause-effect dependencies and see the impact, not just the symptom: what is affected and why.
Artificial intelligence agent
Natural-language queries about service status, with anomaly detection, probable cause and estimated impact. AI assists; people decide.
It builds on the stack you already have
Obsidian connects with the monitoring, ITSM, cloud and business tools you already use, and with any other through API and connectors. These are some of the available integrations.
Monitoring & observability
Cloud & infrastructure
ITSM, CMDB & service desk
Containers & orchestration
Processes & GRC
Data, BI & automation
Cloud native. Wherever you need it
An architecture designed to adapt to each infrastructure, without imposing a deployment model.
On-premises and cloud
In your own data center, in public cloud or in a hybrid model.
Containers
Virtual machines or containers, to each organization's standard.
Kubernetes and OpenShift
Native orchestration for environments already running on Kubernetes or OpenShift.
Vital signs, on a real service
A session with real data to see how Obsidian turns telemetry into health, compliance, root cause and impact.