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Choose native Valkey when you are replacing Redis OSS and your source version, persistence format, configuration, and application behavior match Valkey’s documented compatibility. Choose a Redis proxy when the immediate problem is traffic routing, request mirroring, workload isolation, or a staged backend change. A proxy changes how requests travel; it does not, by itself, copy, reconcile, or validate the data in two stores.
The right path depends on the source engine and version, topology, write tolerance, client protocol behavior, and whether you are using a managed service. Validate the real command set and failover behavior in a non-production environment before cutting over.
What you are actually choosing
Native migration and proxying solve different problems. A native Valkey migration changes the server engine while keeping a Redis-compatible data and application model. You move data with a snapshot, replication, or a selected-key procedure, then direct clients to Valkey.
A proxy such as Envoy sits between clients and one or more configured Redis-compatible upstream clusters. It can route requests, separate traffic, and mirror requests to a shadow cluster. The proxy remains an additional network and failure boundary, and its behavior must be tested as part of the application stack.
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Managed services add a third path. For Amazon ElastiCache, an in-place engine upgrade and an online migration from a self-managed source have different prerequisites and operational semantics. Neither should be treated as a generic substitute for the other two approaches.
Compatibility checks before moving any bytes
Confirm the source engine and persistence format
Valkey’s migration guide documents compatibility with Redis OSS 7.2 and earlier. It specifically states that “Redis Community Edition (CE) version 7.4 and later produce data files that are not compatible with Valkey.” Therefore, do not assume that an RDB or AOF produced by a newer Redis Community Edition can be loaded by Valkey. Record the exact engine name, release, persistence mode, and file format before selecting snapshot migration.
If the source is outside the documented compatibility range, treat a direct file load as unproven. Plan a supported intermediary, replication design, or key-level transfer and verify the result rather than relying on the file extension alone.
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- Commands, including transactions, streams, blocking operations, scripting, and administrative commands used by health checks.
- Modules and data types, with their versions and deployment requirements.
- Lua or other scripts, functions, command flags, and assumptions about error text or return types.
- Authentication, TLS, ACLs, connection pooling, timeouts, retries, and reconnect behavior.
- Standalone versus clustered topology, shard count, read routing, redirection handling, and failover expectations.
- Persistence, expiration, eviction, keyspace notifications, and configuration settings that affect correctness.
Compatibility is an application property, not just a server-brand property. A client that works against a standalone Redis endpoint may fail when a proxy or cluster introduces redirects, different handshake behavior, or a new connection path.
Native Valkey migration: when it fits and how it works
Native migration is the cleanest choice when the objective is to replace Redis OSS with Valkey and the compatibility inventory passes. The Valkey documentation describes three broad approaches for standalone instances.
Snapshot migration
Copying a snapshot is described as easy and fast, but it requires the destination to load the data and normally entails shutdown or loading downtime. Writes made while the snapshot is being taken or transferred can be lost unless active connections are disconnected before migration and the cutover is controlled.
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- Verify that the source version and RDB/AOF format are compatible with the target Valkey release.
- Choose a maintenance window and define the last accepted write. Stop application writers or disconnect active connections according to your operational procedure.
- Create and transfer the snapshot using the source and target procedures documented for your deployment.
- Start Valkey with the transferred data, monitor loading completion, and verify key counts, representative values, expirations, and data types.
- Point clients at Valkey, watch errors and latency, and retain the original source until rollback criteria expire.
This method is appropriate when downtime is acceptable and the dataset can be loaded within the window. It is a poor fit when uninterrupted writes or a very large loading interval are mandatory.
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Replication-based migration
Replication can reduce the final cutover interval by allowing Valkey to receive changes before clients move. The exact topology, authentication, network access, and replication direction must be designed for your versions and deployment. Establish replication, monitor its health and lag, and rehearse stopping writes, confirming the final synchronized position, and switching clients.
Do not call replication complete merely because a connection is established. Validate that updates, deletes, expirations, streams, scripts, and module-backed types behave as expected on the target. Define what happens if replication breaks and how you will resume or rebuild it.
Selected-key migration
Moving selected keys is useful when only part of a dataset belongs on Valkey or when a full snapshot is impractical. Build an explicit key-selection rule, account for related keys and expirations, and define how writes are handled while each key is copied. Verify values and types after transfer; a list of copied key names is not proof that the application’s logical records are complete.
Redis proxy architecture: what it provides and what it does not
Routing and workload isolation
Envoy’s Redis proxy can route commands to configured clusters. This can support a staged backend change, key-prefix separation, or isolation of a workload without immediately changing every client configuration. The proxy’s route map, health checks, timeouts, retries, and upstream topology become production configuration that must be versioned and operated.
Routing does not migrate existing keys. If a key moves from one upstream to another, you need a separate, verified data movement procedure and a plan for reads that arrive during the transition.
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Mirroring is observation, not reconciliation
Envoy documents request mirroring as “fire and forget”: it sends the shadow request but does not wait for the shadow cluster’s response before returning the primary response. A successful response to the client therefore proves only that the primary handled the request. It does not prove that the mirror accepted it, applied it in order, or contains equivalent data.
Use mirroring to exercise a candidate backend with production-shaped traffic, while treating the primary as authoritative. Build independent checks for write success, lag, missing keys, divergent values, expirations, and error rates. Decide how to handle non-idempotent commands, duplicate effects, and commands that should never be sent to a shadow system.
Protocol and handshake boundaries
Envoy selects RESP behavior at the proxy listener. It does not transparently reshape every RESP2 and RESP3 response structure. Clients that depend on exact response types, push messages, attribute metadata, or protocol negotiation need direct tests through the configured listener.
The proxy also synthesizes parts of the HELLO response. Test clients and monitoring that read server identity, version, connection ID, or negotiated capabilities; those fields may not represent the upstream server exactly as they do on a direct connection.
Ordering, clustering, and failure behavior
Exercise multi-command sequences, transactions, pipelines, blocking commands, cluster redirections, reconnects, and failover. Verify whether the proxy’s documented feature boundaries match your client library and command mix. A proxy can introduce queueing, timeout, retry, and partial-failure behavior even when both backends are individually healthy.
Managed AWS paths are separate migration decisions
In-place ElastiCache engine upgrade
AWS documents an in-place cross-engine upgrade path for supported ElastiCache Redis OSS clusters. The AWS FAQ says upgrades from Redis OSS 5.0.6 and later can proceed without downtime, subject to the exact cluster and procedure. For versions earlier than 5.0.6, the same FAQ describes a 30–60 second failover range during DNS propagation. That is a documented procedural range, not a workload benchmark or a promise for every deployment.
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Check the current AWS eligibility rules, node type, replication setup, maintenance behavior, and rollback options before scheduling the upgrade. Do not apply the newer-version statement to an unsupported cluster or treat it as a guarantee that applications will observe no errors.
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AWS also documents online migration from a self-managed Valkey or Redis OSS deployment on EC2 into an ElastiCache target. Review the preparation guide before creating the target. Its requirements include Multi-AZ, sufficient target memory, matching shard counts, and compatible configuration. The online migration procedure is not supported for ElastiCache serverless caches or r6gd node-type clusters.
This path moves a source into a managed target; it is not the same as placing a generic proxy in front of two independent stores. Confirm network reachability, authentication, parameter compatibility, topology, write handling, and the final cutover sequence in a test environment. AWS’s migration guidance recommends non-production testing before the production move.
Approach comparison
| Decision axis | Native Valkey migration | Redis proxy layer | AWS-managed path |
|---|---|---|---|
| Primary purpose | Replace the Redis OSS engine while retaining a compatible application and data model | Route, mirror, or separate traffic among configured upstreams | Upgrade an existing ElastiCache cluster or move a self-managed EC2 source into ElastiCache |
| Version and data-format fit | Check source release and RDB/AOF compatibility; Redis CE 7.4+ data files are documented as incompatible with Valkey | Protocol support does not remove backend version or data-format constraints | Meet the documented source, target, topology, and service prerequisites |
| Data movement | Snapshot, replication, or selected-key methods | Routing and mirroring are not documented as migration or reconciliation methods | Online migration or backup/restore, depending on the AWS path |
| Client impact | Validate commands, modules, scripts, configuration, and client assumptions against Valkey | Validate RESP mode, recognized commands, synthesized HELLO fields, routing, and cluster behavior |
Validate target configuration, topology, service limits, and cutover behavior |
| Operational trade-off | Snapshot can require downtime; replication and key migration require workload-specific planning | Adds a proxy component with its own routing, ordering, timeout, and failure modes | Reduces some infrastructure work but is limited to matching deployment types and prerequisites |
| Universal performance or cost winner | Not established | Not established | Not established |
Official documentation does not establish a universal performance or cost winner. Measure the workload you actually intend to move, including CPU, memory, network, p95/p99 latency, error rate, recovery time, and operational overhead.
A practical decision path
- Need an engine replacement? If you run Redis OSS 7.2 or earlier and want Valkey, start with native compatibility checks. Select snapshot, replication, or selected-key migration according to downtime and write-loss tolerance.
- Need traffic control rather than data replacement? If the requirement is routing, mirroring, or key-prefix separation, evaluate a proxy. Keep data ownership explicit and treat mirrored responses as non-authoritative.
- Already on ElastiCache? Check the supported in-place engine-upgrade path and the exact source version. Apply the 5.0.6 threshold and the 30–60 second earlier-version failover range only under the conditions AWS documents.
- Running Redis OSS or Valkey on EC2? Review online-migration preparation and target limits before choosing ElastiCache. Exclude serverless and r6gd targets where AWS says the procedure is unsupported.
- Relying on unknown client behavior? Prefer a staged test with production-shaped commands before committing to either a proxy or a direct cutover.
Production-readiness test plan
Run the following in a non-production environment that resembles the production topology. Record pass/fail criteria and the rollback trigger before testing.
- Command coverage: Capture and replay the application’s real commands, including scripts, transactions, pipelines, streams, blocking operations, and module commands.
- Data validation: Compare representative keys, data types, TTLs, expirations, stream positions, and application-level record counts. Include empty, missing, large, and recently updated values.
- Authentication and transport: Test ACLs, TLS, certificate rotation, connection limits, pool initialization, timeouts, retries, and reconnect storms.
- Topology: Exercise cluster redirections, shard changes, read/write routing, replica promotion, and client behavior during failover.
- Cutover writes: Generate writes during the planned transition, verify the final synchronization point, and prove that no acknowledged write is missing or duplicated.
- Proxy-specific behavior: Test the configured RESP version, command recognition, ordering, shadow failures, timeout handling, and any code that reads fields from
HELLO. - Recovery: Stop an upstream, restart the proxy, break replication, revoke a credential, and restore the original endpoint. Confirm alerts and operator runbooks work.
- Capacity: Measure resource use and latency with the proxy and target enabled. Do not infer a performance result from documentation or from a different workload.
For AWS migrations, include the provider’s documented preparation and validation steps, then test the exact node type, shard layout, parameter group, and network path you will use in production.
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Common failure modes and safer fixes
The snapshot loads but the application fails
Likely causes include unsupported commands, modules, scripts, ACL differences, or changed response assumptions. Compare the failing command and response at the client boundary, then update the compatibility inventory and repeat the test; do not assume that successful file loading proves application compatibility.
The mirror looks healthy but data diverges
Because Envoy mirroring is fire-and-forget, the primary can succeed while the shadow rejects, times out, or applies a request differently. Add independent reconciliation checks and inspect shadow-side errors. Keep the mirror out of authoritative reads until divergence is understood.
Keys appear on the wrong backend after introducing a proxy
Routing rules may not match the key patterns used by the application, or a key may have been written before the route changed. Freeze route changes, identify ownership for each key range, migrate or dual-read deliberately, and verify related keys and expirations.
Cutover loses recent writes
This is a known risk of snapshot-style migration when active connections continue writing. Stop writers or disconnect active connections at the defined boundary, capture the final state, and verify acknowledged writes before switching clients.
AWS online migration cannot be created
Check target Multi-AZ, memory headroom, shard-count matching, configuration compatibility, source reachability, and node type. Serverless caches and r6gd node-type clusters are not supported by the documented online-migration procedure.
Clients report unexpected handshake information
When connecting through Envoy, inspect the listener’s RESP configuration and the synthesized HELLO fields. Update client or monitoring assumptions only after testing the exact proxy version and configuration.
Documentation to keep with the change plan
- Valkey migration guide for compatibility limits and standalone migration methods.
- Envoy Redis architecture overview for the proxy’s role and traffic model.
- Envoy Redis proxy filter documentation for mirroring, RESP behavior,
HELLO, and feature boundaries. - AWS ElastiCache FAQ for the documented engine-upgrade conditions and version-specific failover statement.
- AWS migration preparation for target requirements and unsupported deployment types.
- AWS online migration procedure for the self-managed-to-ElastiCache workflow.
- AWS re:Post migration guidance for non-production testing considerations.
Bottom line
Use native Valkey when you are making a documented, compatibility-checked engine replacement and can choose a data-transfer method that matches your downtime and write guarantees. Use a proxy when routing, mirroring, or isolation is the requirement, and operate it as a new production component rather than as a migration guarantee. For ElastiCache, follow the specific in-place upgrade or online-migration procedure that matches your source and target. In every case, make the decision from measured command, protocol, topology, write, and failover tests—not from the engine name alone.
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