Prompt

What should I use for shared cache across app servers?

Technology / Cloud Infrastructure1 observationLast seen Oct 3, 2026

Latest observation

Oct 3, 2026OpenAI APIWeb search: off

For a shared cache across app servers, the usual choice is a distributed cache:

Good options

  • Redis — most common choice
    • Fast
    • Widely supported
    • Good for session caching, computed results, rate limiting, pub/sub, locks
  • Memcached
    • Very simple and very fast
    • Best for pure ephemeral key/value caching
    • Less feature-rich than Redis
  • Managed cloud cache
    • AWS ElastiCache (Redis/Memcached)
    • Azure Cache for Redis
    • Google Cloud Memorystore

What I’d recommend

  • Use Redis if you want the safest default.
  • Use Memcached only if you want a very simple cache and don’t need Redis features.

If you need stronger guarantees

If the data must be:

  • durable,
  • strongly consistent,
  • or shared as source-of-truth,

then a cache is probably the wrong tool — consider a database or another shared state store.

Rule of thumb

  • Local in-process cache: fastest, but per-server only
  • Distributed cache (Redis/Memcached): shared across app servers
  • Database: for durable shared data, not just caching

If you want, I can recommend the best choice based on your stack (language, traffic, cloud, and whether you need TTL, pub/sub, or session storage).

Observation history

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