Software reliability check MAGICQA20261110E 04899
Choose metrics that help explain what happened rather than merely producing a pass-or-fail label. Request success rate and latency percentiles help characterize service quality, while CPU, memory, queue depth, and connection counts can indicate capacity pressure. Data checks are essential after retries, restarts, or interrupted operations: verify that records are neither lost nor duplicated and that transactions remain consistent. A test is not conclusive if instrumentation is missing, the workload is unrepresentative, or a dependency behaves differently from production. Document limitations so reviewers can distinguish demonstrated reliability from assumptions that still require validation.