The hard part of caching is not adding another tool or screen. It is deciding how to cache only a measured expensive path with an owner, freshness rule, key, invalidation event, and bypass, while accounting for one concrete failure: unclear cache boundaries trade visible latency for hidden stale-state defects.
Turn "done" into observable behavior: Caching
Acceptance criteria for caching should identify the actor, starting state, action, durable result, denied path, repeated action, and recovery evidence. The interface may report success while unclear cache boundaries trade visible latency for hidden stale-state defects. The criterion therefore has to compare visible feedback with the versioned artifact and durable production state.
Cover the states that change the decision: Caching
Test ready, empty, invalid, denied, delayed, duplicate, partial, successful, and recovered states where they apply. Add a case in which a rollout stops after state changes but before verification completes. Each case should say whether input is preserved, whether retry is safe, and which record a reviewer inspects. Avoid criteria such as "works" or "implemented" because two reviewers can interpret them differently.
Test authority, not visibility: Caching
The expected behavior must hold for an allowed actor, a denied actor, a revoked role, and a direct request that bypasses the normal interface. A denial should leave protected state unchanged and produce a useful audit record without exposing secrets. For caching, the accountable actor is the release owner.
Attach evidence to every important claim: Caching
Use release identity, migration output, health checks, traces, and a timed recovery rehearsal. Record the environment, configuration, and time range so another reviewer can reproduce the result. A passing test supports only the behavior it exercised; it does not prove every security, accessibility, performance, or operational claim. Monitor rollback time as a release signal.
Decision map: Caching
- Measured expensive path. Name the owner, authoritative record, expected state, and denial behavior for this part of caching.
- Freshness rule. Document the normal transition, one interrupted transition, and the smallest safe recovery.
- Cache key. Attach a reproducible test, dated result, and reviewer who accepts the remaining risk.
- Invalidation event. State the input, output, permission boundary, and removal condition before adding automation.
- Uncached fallback. Record how repeated action behaves and which evidence distinguishes retry from duplication.
Boundary cases: Caching
- When the recorded value for measured expensive path changes after freshness rule is stored, name which value wins and how the losing state is reconciled.
- If evidence for cache key becomes unavailable while the caching request is in progress, preserve enough context to distinguish rejection from partial completion.
- A repeated action involving invalidation event should return the existing result or expose the possible duplicate effect before retry.
- A denied change to uncached fallback must leave authoritative state untouched and create an audit record that reveals no secret.
- Recovery should restore the smallest trustworthy state first, then verify the visible caching outcome against the maintained record.
Measure the decision, not activity: Caching
Track rollback time and restore time. Before collecting results for caching, define each measure's population, environment, time window, and owner. Activity is useful only when it clarifies whether the protected caching outcome became safer or easier to recover.
Set the investigation threshold for caching in advance. The acceptance review should also name the permitted response, the evidence required to close the issue, and the next review date. Stop collecting caching data when it no longer distinguishes success, denial, delay, duplication, or recovery, or when it no longer changes a decision.
Sources and local proof: Caching
These primary references document platform behavior relevant to caching. For caching, those references establish terminology and constraints; they do not verify the local implementation.
Any publishable caching claim still needs dated local evidence: configuration, test output, screenshots, logs, queries, or recovery results from the named product. The acceptance review should say exactly which artifact supports each important claim.
A related InMyDraft example: Caching
InMyCompany provides a local example of an inspectable product boundary relevant to caching. Its project catalog records this implementation detail: Tax estimates are computed from the company's own configurable rates, clearly labelled as planning estimates rather than official filings, and surfaced on the dashboard and in reports.
The comparison between InMyCompany and caching is deliberately narrow. It shows how one product makes state and evidence visible; it does not prove that every caching recommendation has been implemented. Use the InMyCompany example to review caching, not as a substitute for testing the product in scope.
Review checklist: Caching
- Given a valid starting state, the release owner can complete the intended caching outcome.
- Invalid and unauthorized requests leave the versioned artifact and durable production state unchanged.
- A repeated action does not duplicate a protected side effect.
- The team can demonstrate that it can compare cached and uncached results, then operate the product with caching disabled.
- Failure and recovery produce evidence another reviewer can reproduce.
A caching decision is ready for the next stage when another accountable person can reproduce the evidence, explain the failure boundary, and perform the recovery without relying on the original author's memory.
