seed-mock-failure-simulation

Deterministic seeds for failure testing are generated using explicit seeding to ensure identical results across runs, enabling isolated and reproducible test executions. This approach guarantees stable base data for validating failure scenarios.

Layered failure overlays simulate failure scenarios without modifying base test data by applying idempotent seeders on top of stable states. This ensures the original environment remains untouched during chaos and edge-case testing.

Transactional execution wraps seed generation and mock application to enable automatic rollback and structured logging for auditability. This ensures that any failure scenario injection safely reverts state changes after test completion.

Yes, reusable scenario cataloging allows you to compose multiple failure injections on the same deterministic base. This enables complex chaos testing by layering different configurable mocks for external services.

Post-seed validation is needed to catch orphans, business-constraint violations, and minimum row expectations after generating deterministic seeds. It ensures the test base remains structurally sound before applying failure overlays.

Yes, rich and configurable mocks for external services are supported to drive chaos and edge-case testing. These mocks integrate with deterministic seed generation to simulate complex failure scenarios across environments.