Redis / Cache

Redis as an in-memory data-structure server: execution model, data types, memory management, persistence, replication, high availability, clustering, and common system-design uses.

A version-neutral guide to running Redis locally or in containers, with production security and persistence cautions.

Redis RDB snapshots and AOF persistence, fsync trade-offs, background rewrite/snapshot costs, recovery behavior, and what persistence does not guarantee.

MULTI/EXEC queuing, isolated execution, WATCH optimistic concurrency, error behavior, and why Redis transactions are not rollback-based ACID database transactions.

How Redis pipelining amortizes network round trips, how it differs from transactions and scripting, and why large pipelines must be bounded for memory/backpressure.

Redis fire-and-forget publish/subscribe semantics, pattern subscriptions, delivery limitations, and when Streams or a dedicated message broker are more appropriate.

Atomic server-side Redis scripting with EVAL/EVALSHA, KEYS/ARGV, script-cache behavior, cluster constraints, bounded execution, and when to prefer Redis Functions.

Using packet capture to inspect Redis TCP/RESP behavior in safe test environments, with TLS and credential/privacy cautions.

How Redis accepts and serves many TCP clients, connection limits, buffers, timeouts, backpressure, and why client-pool sizing matters.

Operational signal handling in Redis: graceful shutdown/reload-related behavior and why service managers and current Redis documentation should define production procedures.