Redis / Advanced: persistence, distribution and operations
Redis β Advanced: persistence, distribution and operations
Review durability, failover, Cluster placement, memory and recoverable change.
What you will learn
- Use operational evidence without overstating guarantees.
- Plan compatible migrations and independently verified recovery.
RDB, AOF and durability budgets
Choose persistence from the acceptable loss and restart contract. Distinguish snapshots, append-only history and independent backup without treating an acknowledged write as a universal durability guarantee.
Start learningReplication, Sentinel and failover
Separate replica receipt, persistence and safe writer discovery. Explain Sentinel decisions and asynchronous loss windows without promising automatic zero-loss or globally exclusive business effects.
Start learningCluster slots, routing and multi-key design
Design around hash-slot placement and topology-aware clients. Distinguish sharding from replication, same-slot atomic work and managed proxy behavior.
Start learningMemory, eviction and capacity
Distinguish TTL expiry, policy eviction and memory errors. Budget data, overhead, buffers and persistence peaks from evidence rather than universal maxmemory values.
Start learningObservability, latency and safe diagnosis
Diagnose end-to-end latency from command work, queueing, network and resource evidence. Inspect bounded metadata without using scans, intrusive tooling or universal tuning prescriptions.
Start learningRecovery, evolution and release reliability
Plan key-model and service changes as observable, compatible and recoverable transitions. Distinguish cache rebuild from restoring authoritative Redis data and coordinate write ownership at cutover.
Start learning