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risk_score
float64
0.06
0.81
service_name
stringclasses
3 values
recent_events
listlengths
2
2
observation_time
timestamp[s]date
2025-02-18 09:42:00
2025-02-18 14:05:00
dependency_states
listlengths
3
3
predicted_transition
stringclasses
3 values
predicted_next_health
stringclasses
3 values
current_service_health
stringclasses
3 values
affected_dependency_chain
listlengths
0
2
prediction_horizon_minutes
int64
15
30
0.06
telemetry-ingest
[ { "event_type": "scheduled maintenance completed", "component_name": "metrics-store", "occurred_at": "2025-02-18T13:52:00", "event_severity": "info" }, { "event_type": "ingest throughput returned to baseline", "component_name": "telemetry-ingest", "occurred_at": "2025-02-18T14:01:30"...
2025-02-18T14:05:00
[ { "dependency_name": "ingest-stream", "dependency_type": "upstream service", "health_status": "healthy", "criticality": 0.9 }, { "dependency_name": "metrics-store", "dependency_type": "database", "health_status": "healthy", "criticality": 0.82 }, { "dependency_name": "edg...
stable
healthy
healthy
[]
30
0.81
checkout-api
[ { "event_type": "connection pool saturation alert", "component_name": "orders-primary-db", "occurred_at": "2025-02-18T09:38:15", "event_severity": "major" }, { "event_type": "elevated request latency", "component_name": "checkout-api", "occurred_at": "2025-02-18T09:40:30", "event...
2025-02-18T09:42:00
[ { "dependency_name": "orders-primary-db", "dependency_type": "database", "health_status": "degraded", "criticality": 0.95 }, { "dependency_name": "session-cache", "dependency_type": "cache", "health_status": "healthy", "criticality": 0.55 }, { "dependency_name": "payment-...
degrading
unhealthy
degraded
[ "orders-primary-db", "checkout-api" ]
15
0.38
document-renderer
[ { "event_type": "worker restart completed", "component_name": "render-worker-pool", "occurred_at": "2025-02-18T11:12:40", "event_severity": "info" }, { "event_type": "queue backlog alert cleared", "component_name": "queue-broker", "occurred_at": "2025-02-18T11:14:20", "event_seve...
2025-02-18T11:16:00
[ { "dependency_name": "render-worker-pool", "dependency_type": "upstream service", "health_status": "degraded", "criticality": 0.92 }, { "dependency_name": "artifact-store", "dependency_type": "storage", "health_status": "healthy", "criticality": 0.78 }, { "dependency_name...
recovering
degraded
unhealthy
[ "render-worker-pool", "document-renderer" ]
20

Service Dependency Health State Transition Dataset

Each record captures a monitored service's health at a specific observation time, the states of its infrastructure dependencies, and recent related events, alongside the predicted service health and transition direction over a defined horizon. Records also include the affected dependency chain and a risk score from 0 to 1, supporting analysis of how dependency changes relate to service health. The data is suitable for service state prediction, failure early warning, and operational decision support.

Technical Specifications

Field Type Description
risk_score number Estimated probability of service degradation or failure within the prediction horizon, on a scale from 0 to 1.
service_name string Name of the monitored service for which the next health state is predicted.
recent_events array Events affecting the service or its dependencies before or during the observation.
observation_time string Timestamp when the current service and dependency states were observed.
dependency_states array Observed state and criticality of each infrastructure dependency used by the monitored service.
predicted_transition string Predicted direction of change from the current service health state to the next state.
predicted_next_health string Predicted health state of the monitored service at the end of the prediction horizon.
current_service_health string Observed health state of the monitored service at the observation time.
affected_dependency_chain array Ordered names of dependencies predicted to contribute to the service's next health state.
prediction_horizon_minutes integer Number of minutes from the observation time to the predicted next health state.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Source & Contact

contact@mobiusi.com

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