1.Fundamentals & Topics

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.

How to benchmark Redis without confusing synthetic command throughput with application capacity, including concurrency, payloads, pipelines, latency percentiles, and hot-key effects.

How managed Redis changes responsibility for topology, failover, backups, networking, scaling, observability, and compatibility without changing Redis's core consistency limits.