What metrics prove Decorators is healthy in prod?

Answers use simple, clear English.

Quick interview answer

Prove Decorators is healthy with latency (p50/p95/p99), error/saturation rates, and queue/event-loop lag — not just CPU. Context: Mitigate first, then root-cause. Check symptoms against: Forgetting @wraps; decorator not returning wrapper function..

Detailed answer

Production health signals for Decorators: • Latency: p50/p95/p99 of the critical path that uses Decorators. • Errors: failure rate, timeouts, and retry storms. • Saturation: queue depth, event-loop delay, thread/pool utilization. • Business SLIs: request success and user-visible freshness where relevant. Trade-off lens: Pros: DRY cross-cutting logic; composable with stacking decorators. Cons: Stack order matters; debugging wrapped call stacks is harder. Explain thresholds + alerts, then how you triage. Parent context: Mitigate first, then root-cause. Check symptoms against: Forgetting @wraps; decorator not returning wrapper function..

Full explanation

Good answers name measurable signals and what “bad” looks like for Decorators. Decorators wrap functions: @decorator applies decorator(func). functools.wraps preserves __name__/__doc__. Common for logging, auth, caching, retries.

Follow-up questions

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Parent context — Decorators

Mitigate first, then root-cause. Check symptoms against: Forgetting @wraps; decorator not returning wrapper function..

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