Prompt
What should I use for shared cache across app servers?
Latest observation
Oct 3, 2026
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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).