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| Criterion |  DevOps Game Day |  Delivery Monte Carlo Forecasting |
|---|---|---|
Purposedifferent | In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. |
Complexitysame | High | High |
Timedifferent | Halber Tag | 30-90 min Setup, danach laufend |
Participantsdifferent | 5-20 | 1-8 |
Formatdifferent | Workshop | Workshop + async |
Outputdifferent | Simulation Notes, Gaps List, Updated Runbooks | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | ResilienceOperationsIncident | ForecastingFlowDelivery |
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