Caching Strategy
A caching strategy framework: what to cache, how to invalidate, and how to measure impact.
Published:
Admin User
Updated:
published
Caching Strategy
Caching is a control for cost, latency, and resilience.
Enterprise focus: clear invalidation rules, observability, and evidence of correctness.
See also
Performance Excellence Playbook Cost & Latency Controls (LLM) ObservabilityFAQ
What is a caching strategy?
A plan for what to cache, where to cache, and how to invalidate safely.
What’s the hardest part?
Invalidation and correctness under change.
How do we measure caching impact?
Latency, hit rate, error rate, and cost signals—before and after changes.
What’s a common anti-pattern?
Caching without observability or invalidation rules, causing stale data issues.
What’s the first improvement?
Define one cache layer and instrument hit rate + latency.