Bonree ONE • DataModel

Data becomes truly valuable only when it has meaning.

The data model is entity-centric, unifying metrics, events, logs, traces, records and meta-attributes into a complete observability data system. Through the data model page, users can intuitively view registered entity types, metric definitions, metadata structures and dictionary details — so every piece of ingested data is clear, queryable and well-grounded.

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Core Capabilities

Entity-centric — build complete observability context

  • Metrics, logs, traces and alerts are connected through entity relationships, eliminating data silos
  • Alerts are automatically associated with services, hosts, containers, databases and other entities
  • From a single alert you can reconstruct the full analysis context, making root-cause location more efficient

Custom metric system — build enterprise-grade measurement standards

  • Standardized metric definitions with unified naming, units and calculation methods — no more same-name-different-meaning or inconsistent definitions
  • Hierarchical classification and management by business / application / infrastructure / container — metric assets are clear and searchable
  • Metric metadata is fully governed — source, owner, update frequency and dependencies are all traceable

Entity-Centric Correlation

  • Connect services, hosts, containers, and databases to reconstruct complete incident context.

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