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Why retry logic can amplify degraded systems, how retry budgets and jitter reduce retry storms, and what to check before retrying production requests.

How excessive production logging can bury signal, increase cardinality, distort incident timelines, and make debugging slower even when every service appears well instrumented.

How feature flags grow from safe release controls into hidden complexity, and how lifecycle rules, ownership, tests, and cleanup keep them contained.

Tests can pass while production still breaks when the suite proves the intended path but misses retries, concurrency, dirty data, rollout state, or ambiguous dependency behavior.

Why some bugs appear only under production load, how concurrency, data shape, queues, retries, and partial failures change behavior, and how to diagnose them without guessing.