1
Intake
Data arrives from Salesforce, Zendesk, Datadog, GitHub, Jira, and API gateways through webhooks, API polling, and real-time event streams.
2
Load
Raw records are ingested into Spine Fabric staging. Authentication verified, rate limits respected, payload structure validated. Monitoring payloads are parsed for metric types and dimensions.
3
Normalize
Source-specific formats convert to Spine canonical entities. A Salesforce technical account, Jira project, and Datadog-tagged monitor resolve into a unified
TechnicalAccount entity.4
Schema Mapping
Field mappings transform source attributes into Spine properties. Ticket priorities, alert severities, and deployment statuses use standardized vocabularies.
5
Context Assembly
Technical entities and events are linked into graphs. An account connects to its architecture, integrations, issues, API usage, and deployments.
6
Projection
Domain views computed on demand. Implementation portfolio, technical health, integration status, and architecture reviews filter and aggregate by Technical Account Success rules.
7
OODA
Health scores, integration alerts, and milestone signals evaluated by domain agents. Orientation rules classify alerts by severity, environment, and customer impact.
8
Governance
Data quality checks, authorization validation, audit logging ensure projections and actions meet policy.
9
Execution
Governed capabilities write back. Jira milestones updated, Zendesk tickets created, documentation amended.
10
State Update
Entity states updated in Spine Fabric. Event logs, receipts, and continuity records persist for the next cycle.