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| Criterion |  DevOps ChatOps |  DevOps Game Day |  Operations Causal Factor Analysis |  Operations Failure Mode and Effects Analysis |
|---|---|---|---|---|
Purposedifferent | For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together. | 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. | For an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | Medium | High | High | High |
Timedifferent | Ongoing | Halber Tag | 2-6 h | 2-6 h |
Participantsdifferent | 2-20 | 5-20 | 3-10 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Chat Transcript, Action Log, Automations | Simulation Notes, Gaps List, Updated Runbooks | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | CollaborationEngineeringIncident | ResilienceOperationsIncident | CausalityIncidentRoot causeTimeline | RiskQualityOperationsRoot cause |