Service Health State Transition Dataset

#Next-state prediction #Service state classification #State transition prediction #Transition time prediction #Infrastructure monitoring #Cloud service operations #Observability analytics #Incident management

6600
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This dataset records infrastructure service metrics snapshots, logs, distributed traces, and relevant deployment or configuration events from observation windows, alongside the current state, subsequent state, transition timestamp, and time to transition. It covers changes among states such as healthy, degraded, failed, and recovered, supporting analysis of how observability signals relate to service health over time. It is suitable for next-state prediction, service health assessment, and training or evaluating infrastructure monitoring models.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
next_state	string	The subsequent service health state used as the target for transition prediction or evaluation.
logs_window	array	Raw service log entries collected during the observation window.
current_state	string	The service health state at the end of the observation window, derived from available observability signals.
traces_window	array	Raw distributed trace data collected during the observation window.
metrics_snapshot	object	Raw service metrics from the observation window, such as latency, request rate, error rate, and resource utilization.
deployment_events	array	Deployment or configuration change events relevant to the service and observation window.
transition_timestamp	string	The timestamp when the transition to the next service state occurs.
time_to_transition_seconds	number	Elapsed time from the end of the observation window until the next state transition.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: Each record covers service metrics, logs, distributed traces, and relevant deployment or configuration events from an observation window. It also provides the current state, next state, transition timestamp, and time to transition.

Which prediction tasks does it support?: The data can support predicting a service's next health state from current observability signals, as well as state classification, transition analysis, and transition-time prediction.

What are the dataset size and quality specifications?: The available information does not specify the sample count, time span, or collection environment. The schema includes multiple observability signal types and explicit state-transition targets; consult the dataset details for information about size, completeness, and quality.

How can I access the data, and what usage rights apply?: Check the dataset product page for available access methods, file specifications, and licensing terms. Before use, confirm that the license covers your intended research, training, or commercial use.

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Cite this Work

@dataset{Mobiusi2026,
  title={Service Health State Transition Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/6f05d4f07a9fe160db000749928a60a4},
  urldate={2026-10-26},
  keywords={service health dataset,state transition prediction,next-state prediction,infrastructure monitoring data,observability data,service failure prediction,metrics logs traces,cloud service operations},
  version={1.0}
}

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