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Migrate Redis.
Zero downtime.

Exodus deploys as a RESP wire-protocol proxy with concurrent dual-write, adaptive throttling, and instant rollback. No code changes, no maintenance windows.

Supported Systems

Redis CloudRedis CloudElastiCacheElastiCacheMemoryDBMemoryDBAzure CacheAzure CacheGoogle MemorystoreGoogle MemorystoreDigitalOceanDigitalOceanValkeyValkeyKeyDBKeyDBSelf-HostedSelf-Hosted
See how it works

How it works

Follow each phase of a zero-downtime Redis migration.

Pre-test mirrors production traffic while apps still use the source. Analyze cuts traffic over to Exodus, then compare, test, migrate, roll back, or commit through the same gateway.

Web apps
Workers
Queues
Source Redis
Exodus
Observability
Parallel Capture

Mirror production traffic before Exodus enters the request path.

Applications keep talking directly to the source Redis database. A parallel copy of the same traffic is sent to Exodus so Observability can measure migration behavior without changing production routing.

Apps still hit sourceParallel traffic copyTelemetry capture
Migration path

Watch our founder walk through a live migration demo

Built for production Redis

Every feature driven by real-world migration challenges

Full Data Type Coverage

Strings, Lists, Sets, Sorted Sets, and Hashes with type-specific merge and conflict resolution. Hash fields skip-merged, lists concatenated, sets unioned, sorted set scores updated.

Concurrent Dual-Write

Writes fire to both endpoints simultaneously, minimizing latency overhead. Six write consistency policies from BestEffort to BothRequired control how results are adjudicated.

Queue Conflict Prevention

Every dual-write is checked against the active migration pipeline for key conflicts. Exponential backoff prevents data races between application writes and data movement.

Six Read Routing Modes

Old, New, Ratio-based split, FallbackOnMiss, VersionCompare, and Replicated. Replicated mode compares responses byte-for-byte and logs divergence at WARN level.

RESP Wire Protocol

Full RESP2 and RESP3 support at the wire level. Commands classified as read or write via static lookup with unknown commands defaulting to write for safety.

TTL Preservation

Source key TTLs captured via PTTL and included in RESTORE commands on the target. Key expiration semantics are preserved exactly across the migration.

Divergence Detection

Replicated read routing performs full byte comparison between both endpoints. Divergence logged at WARN level with response sizes for operator visibility.

Error Export and Replay

Keys that fail migration after all retries are exported for later playback and reconciliation. Full error context preserved, no silent data loss.

Tunable Batch Sizing

Configure batch limits by key count and byte size. Fine-tune batch dimensions to match your instance capacity and network throughput.

Adaptive Throttling

Data movement speed adjusts to leave CPU overhead for live traffic. Migration never starves production workloads.

Configuration Replication

Source Redis configuration is analyzed and replicated to the target. Memory policies, eviction rules, and server settings carried over automatically.

Datadog Observability

Datadog Observability

Per-request metrics exported to Datadog for full migration visibility. Track latency, error rates, and throughput across both endpoints in real time.

Multiple migration strategies

Choose the right approach for your risk tolerance and timeline

Big Bang

All traffic switches to the target at once. Fastest cutover for systems that can tolerate a brief maintenance window.

Canary

Gradual traffic shift from 5% to 100% with instant rollback at every step. The safest path for most production systems.

Blue/Green

Run both environments in parallel, validate the target under real load, then switch over with a single routing change.

User-by-User

Migrate individual users or tenants incrementally. Ideal for multi-tenant systems where per-tenant rollback is required.

Shadow

Mirror production traffic to the target for validation without affecting live users. Proves correctness before any cutover.

Every correctness gap, documented

16 gaps identified in correctness review. Here's how each one is handled.

4 Resolved5 Mitigated7 Accepted Risk0 Open

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