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Tests durable background processing across duplicate delivery, retries, acknowledgement timing, crashes, poison messages, and observable completion.
Verifies migration SQL, data preservation, production-provider behavior, mixed application versions, backfills, and expand-contract releases.
Explains saturation signals and how systems shed, queue, throttle, or degrade before cascading failure.
Explains referential integrity, cascade delete trade-offs, restrict behavior, soft deletes, and operational safety.
Explains aggregate queries, grouping keys, filters before and after aggregation, and business-count correctness.
Prevents lost updates with an original rowversion predicate, maps zero affected rows to an explicit conflict, and defines user, retry, aggregate, and API precondition behavior.
Makes business uniqueness race-safe with the exact database key, while handling normalization, tenant scope, nulls, soft deletion, rollout cleanup, and stable API conflicts.
Uses ROW_NUMBER with deterministic partition ordering to return one complete latest row per group, then evaluates index support, tie semantics, scale, and read-model alternatives.