Design a Cache Index API with Explicit Freshness and Invalidation
A useful cache API needs more than get and set. Define identity, freshness, generations, and failure behavior so clients know when a response is safe to reuse.
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Cache engineering
Turn a reuse policy into an interface you can operate.
Good cache engineering begins with a contract: what the key means, which versions are compatible, who may reuse the value, and what happens when the entry is unavailable. The articles in this collection examine those decisions through API design and lifecycle management. They are blueprints for reasoning about a system, rather than advertisements for a hosted endpoint.
As you read, trace a cache miss, a partial write, a source update, and a permissions change through your proposed interface. Look for states that the caller cannot explain and operations that have no clear recovery path. A small, observable contract is easier to evaluate than a feature list that leaves correctness implicit. Use the related topic guides to frame a service evaluation or a first implementation.
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Related topic guides.
Cache engineering
Cache Index API
Design keys, freshness, invalidation, and observable misses as one coherent interface.
Cache engineeringAI Model Cache Index Service
Evaluate model caching through contracts, observability, and failure behavior.
Cache foundationsCache Index
Know what is stored, why it can be reused, and when it stops being useful.