Useful documentation for database indexes starts with the scenario where indexes are added by intuition and never reviewed.

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A named owner for database indexes should know the current state of read latency, write cost and index usage.

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The business cost of weak database indexes becomes visible in read latency, write cost and index usage and repeated rework.

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Recovery for database indexes is complete when read latency, write cost and index usage returns to its normal range and the cause is recorded.

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The purpose of database indexes is simple: common queries become fast without making writes unnecessarily expensive.

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Change database indexes only when the decision can improve read latency, write cost and index usage without sacrificing the outcome where common queries become fast without making writes unnecessarily expensive.

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The most useful signal for database indexes is read latency, write cost and index usage.

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The costly assumption in database indexes is that indexes are added by intuition and never reviewed will fix itself.

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The strongest test of database indexes is a safe simulation of the case where indexes are added by intuition and never reviewed.

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Design a plain-language recovery message for the case where indexes are added by intuition and never reviewed.

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Retries are safe in database indexes only when the system can profile real queries and remove redundant structures; otherwise indexes are added by intuition and never reviewed.

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