Operational Context Graph

The Operational Context Graph provides a unified, continuously updated knowledge graph of the operational state of data centers. By correlating infrastructure, workload, and event data into a structured graph, it enables autonomous reasoning and decision-making for self-healing and proactive operations.

• Single Source of Operational Truth: Consolidates telemetry, topology, runbooks, recorded actions, and AI-generated insights into a unified, versioned repository - giving every consuming system a consistent, authoritative view of the data center.
• Living Knowledge Graph: Continuously builds and maintains a semantic graph that links infrastructure, services, incidents, runbooks, and actions into a connected, queryable model.
• Implicit Knowledge Made Explicit: Topology relationships, configuration baselines, historical incident patterns, and approved procedures are captured and made accessible to both AI systems and human operators through standardized interfaces.
• Temporal Awareness: Versions graph state over time, enabling point-in-time reconstruction and comparison to support trend analysis, incident investigation, and change tracking.
• Semantic Interoperability Across Vendors: Adopts the Asset Administration Shell standard and unified data models to enable consistent interpretation of telemetry from heterogeneous, multi-vendor infrastructure.