Dynamic acceleration: cache boundaries for authenticated pages and APIs
Accelerating dynamic workloads takes more than a high cache hit ratio. Separate public content from user data, then evaluate origin access, connection reuse and request latency without weakening account isolation.
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Not every response belongs in a shared cache
Public articles, versioned scripts and images can often use a shared cache. Order details, account profiles and authorized exports need separate treatment. A URL may return different content depending on cookies, Authorization, language or query parameters. Choosing cache policy solely by .html or .json extensions can hide those differences.
Distinguish three cache directives
In HTTP caching, private prevents storage by shared caches, no-store instructs caches not to store, and no-cache allows storage but requires successful validation before reuse. These directives are distinct. Vary identifies request headers used to select a response; it is not a substitute for authorization or complete query-parameter cache keys.
Uncached responses still have an optimization path
For requests that must reach the origin, measure DNS, connection setup, TLS, origin processing and response transfer separately. Connection reuse, appropriate timeouts and origin routing may improve delivery, but measure results from real user regions. If databases or third-party APIs dominate latency, address those dependencies first.
Verify isolation with two test accounts
Select a public resource, an authenticated API and a sensitive page. Request each with account A, then account B and an unauthenticated client, comparing content, status and cache behavior. Change the origin content and verify refresh and invalidation. Use synthetic data rather than actual customer secrets.
Evaluate user outcomes as well as hit ratio
For portals, SaaS and APIs, assess success rate, tail latency, retries and origin load together. Fixed bandwidth describes transfer capacity, while unmetered normal traffic describes billing. Neither implies unlimited concurrency or that every request is cacheable.