Sound familiar?
- ▸ Sentinel → Cluster cutover is overdue — your working-set has outgrown a single primary and the team is debating shard counts, hash-slot layout, and how to dual-write without losing data during the transition.
- ▸ ElastiCache or MemoryDB migration just got approved and you need a cutover playbook that fits inside a maintenance window — with a proven rollback path if replication lag refuses to settle.
- ▸ Redis 6 → 7 upgrade needs to happen before the next major release cycle — most apps work unchanged, but ACL syntax, function support, and Pub/Sub semantics need a real audit before the cutover.
JusDB Redis migration team delivers tested cutover runbooks, not slideware. Book a Redis migration scoping call →
Tested cutover playbooks
Redis Migration Services
Sentinel → Cluster, self-managed → ElastiCache or MemoryDB, version upgrades, and cross-cloud migrations — executed with replication-lag-monitored cutovers and rollback gates. See also Redis consulting for the architecture-decision phase, or Valkey migration for the licensing-driven move.
Redis migrations we handle
Each path has a tested runbook — instrumented cutover, replication-lag gating, and a defined rollback procedure before any traffic flips.
Sentinel → Cluster Mode
Re-shard keyspace across 16,384 hash slots, dual-write during cutover, MIGRATE for backfill, and client-library upgrades where needed.
Self-Managed → ElastiCache
AWS Migration Tool for online migration, parameter-group alignment, engine-version verification, sized shard topology, 5-15 minute cutover.
ElastiCache → MemoryDB
When durability requirements escalate — multi-AZ transactional log, recovery to known state, primary-storage use cases beyond caching.
Cross-Cloud Migration
EC2 self-managed → GCP Memorystore, Azure Cache for Redis, or DigitalOcean Managed Redis — replication, validation, and zero-data-loss cutover.
Version Upgrades
Redis 5 → 6 → 7 upgrades with parameter-config audit, ACL migration, function vs Lua decision, Pub/Sub semantics validation.
Topology Reshape
Single-primary → replicas + Sentinel, replicas → cluster sharding, or cluster shard rebalancing — keyspace-aware migration patterns.
The zero-downtime cutover playbook
Standard sequence we apply to every Redis migration. Each step has an explicit gate before proceeding.
| Step | Action | Gate before next step |
|---|---|---|
| 01 | Provision target with parameter group matched to source | Config audit passes — every meaningful flag matches |
| 02 | Establish replication (replicaof, or MIGRATE for cluster) | Initial sync completes — RDB transferred, replication-link established |
| 03 | Wait for replication lag to settle under 1ms | Lag stable under 1ms for 10+ minutes |
| 04 | Flip read traffic to target — observe error rate and latency | Read error rate stable; p99 latency within SLA |
| 05 | Quiesce writes on source (under 60-second window typically) | Write queue drained; lag = 0 |
| 06 | Promote target to primary; reverse replication if needed | New primary accepting writes; reverse-replication healthy |
| 07 | Flip write traffic to target | Application errors stable; reverse-rep proves rollback path |
| 08 | 24-48 hour soak — keep source replicated as rollback option | No regressions; decommission window agreed with stakeholders |
| 09 | Decommission source after rollback window closes | — |