This chapter covers distributed cache requirements: cache cluster size, eviction policy, hit rate target, network latency SLA.

This chapter covers key questions: in-process vs distributed, key expiry, cache-aside vs read-through, replication needs.

This chapter covers single Redis node as a cache and its failure modes (SPOF, memory limits, key hot spots).

This chapter covers Redis cluster with consistent hashing, replication, and client-side request routing.

This chapter covers two approaches: Redis Cluster vs Memcached with client-side sharding — trade-offs in features and ops.

This chapter covers how Facebook's Memcached deployment and Twitter's Twemcache handle cache at billions of ops/day.

This chapter covers consistent hashing for minimal rehash, virtual nodes for balance, circuit breaker on cache cluster.

This chapter covers hot key problem destroying one node, cache stampede after invalidation, network split-brain.