This pattern models the structural dynamics within interconnected systems where component failures can propagate through dependency relationships. The bounded context includes all system components that are functionally interdependent, the dependency relationships between them, and the mechanisms by which failure propagates and load redistributes. The pattern captures the feedback loops where initial failures create conditions for subsequent failures through capacity overload and dependency chain reactions.
The pattern explicitly excludes the specific causes of initial failures, focusing instead on the propagation mechanics once failure begins. External recovery mechanisms, human interventions, or adaptive system responses that might halt cascading effects are outside this boundary. The pattern assumes that components have finite capacity limits, that dependencies create genuine constraints on functionality, and that the system lacks perfect isolation between components.
The key assumption is that system resilience depends on both individual component robustness and the overall network structure of dependencies. The pattern reveals how local failures can have global consequences when dependency structures create pathways for failure propagation and when system capacity buffers become overwhelmed by load redistribution demands.