The challenge
Organizations running self-managed Redis or Valkey deployments face a critical dilemma when modernizing to managed services like AWS: how do you migrate terabytes of data and hundreds of thousands of operations per second without impacting production workloads?
Traditional migration approaches force teams into uncomfortable trade-offs: scheduled maintenance windows, application downtime, or risky snapshot-based cutovers that can result in data loss. For applications where Redis has evolved beyond ephemeral caching into a persistent data store, these trade-offs are unacceptable.
The solution: Eden's zero-downtime migration platform
Eden takes a fundamentally different approach to migrations. Rather than requiring application changes or downtime windows, Eden deploys as a transparent proxy between applications and their databases, intercepting wire protocol traffic with minimal overhead.
How it works
Transparent deployment
Eden deploys as a Kubernetes workload within the customer's own VPC. No data leaves the environment, and no credentials are shared externally. Installation requires zero application code changes. Eden leverages IP table and DNS switching to transparently intercept traffic, sitting between the application and the source Redis instance.
Scan-based data synchronization
When a migration is initiated, Eden performs a scan of the source database while simultaneously beginning dual-write replication to both source and target. This approach eliminates the need to complete a full snapshot before synchronization begins. New writes are captured in real time from the moment the migration starts.
Intelligent conflict resolution
Eden handles merge conflicts across all Redis and Valkey data types, including complex structures like hashes and sets that cannot be trivially merged. The platform supports all Redis commands through version 8.4 and Valkey-specific command sets, intelligently resolving state conflicts to ensure the target database always reflects the most recent, non-stale data.
Blue-green and canary cutover
Once both databases are fully synchronized, teams can perform an instant cutover, toggling traffic from source to target with a single command. Eden supports blue-green deployments with instant rollback capability and canary migrations with gradual traffic splitting to match each organization's risk tolerance.
Performance at scale
Eden adds approximately 20 microseconds of processing latency per request, making it practically invisible for production workloads. In benchmark testing on a 4-core CPU instance running in AWS, Eden sustained 500,000 operations per second with full metrics, logs, and traces enabled for every request.
The platform integrates with Amazon CloudWatch and Datadog for real-time observability throughout the migration process, giving teams full visibility into throughput, latency, error rates, and migration progress.
| Metric | Value |
|---|---|
| Added latency | ~20 microseconds per request |
| Max throughput (4-core CPU) | 500,000 ops/sec |
| Telemetry | Full metrics, logs, and traces per request |
| Observability integrations | CloudWatch, Datadog |
| Redis version support | Up to 8.4 |
| Valkey support | Full compatibility |
| Command coverage | All 400+ commands (Redis and Valkey) |
A typical migration journey
Consider a common scenario: an organization running self-managed Redis 6 or Valkey on Amazon EC2 wants to migrate to AWS for the operational benefits of a fully managed service.
- Deploy Eden from the AWS Marketplace into the existing VPC via Amazon EKS
- Provision the target AWS cluster
- Validate compatibility using Eden's built-in testing suite to confirm all Redis and Valkey commands and data types are supported
- Connect and proxy Eden begins intercepting traffic to the source Redis instance transparently
- Initiate migration Eden scans the source database, begins dual-write synchronization, and resolves conflicts across all data types
- Cut over once fully synchronized, toggle traffic to AWS with zero downtime
- Rollback if needed Eden maintains synchronization in both directions, enabling instant rollback at any point
End to end, production migrations can be completed in as little as one hour, including configuration, validation, and cutover.
How Eden compares
| Aspect | Traditional tools | Eden |
|---|---|---|
| Downtime | Required | None |
| App changes | Usually required | None |
| Observability | Minimal | Full end-to-end |
| Cutover | Manual coordination | Automated |
| Data sync strategy | Snapshot then replay | Live scan with dual writes |
| Rollback | Restore from backup | Instant toggle |
| Conflict resolution | Manual or none | Automatic per data type |
Built for reliability
Written in Rust, Eden is engineered for the reliability demands of production database infrastructure. The platform is designed to degrade gracefully under pressure: when resource limits are reached, throughput slows rather than failing. Eden also supports automated failover, with standby proxy instances that can assume traffic routing if the primary instance becomes unavailable.
Security and deployment
Beyond Redis and Valkey
Eden supports migrations between Redis and Valkey in any direction, including cross-protocol migrations where command sets diverge between the two. The platform automatically adapts its parser and conflict resolution logic based on the source and target engines.
Beyond the Redis protocol family, Eden's wire-protocol proxy architecture extends to other database engines. Eden currently supports PostgreSQL migrations in early access and is developing capabilities for heterogeneous migrations, enabling organizations to modernize across database paradigms as their needs evolve.