Major database changes carry significant risk. Schema migrations, version upgrades, and query optimizations can break production in unexpected ways. Traditional staging environments lack production scale, traffic patterns, and edge cases that only emerge under real load.
Built in Rust with Tokio, ScryData combines production workload capture, privacy-preserving anonymization, circuit breaking, and health monitoring into a unified system. Test database changes against real traffic patterns at production scale before deployment.
Transparent proxy sits between your application and PostgreSQL/CockroachDB, capturing per-query metrics with value fingerprinting for hot data detection. FlexBuffers serialization ensures minimal overhead.
Privacy-preserving query logging with Blake3 fingerprinting ensures compliance. Capture real workload patterns without exposing sensitive data.
Replay production workloads against shadow databases with your schema changes, migrations, or upgrades. Circuit breaker and health monitoring detect issues before they reach production.
Comprehensive diff analysis shows query compatibility, performance impact, and breaking changes. Deploy with confidence backed by production-scale validation.
Built from the ground up in Rust for production workloads. Every component designed for performance, reliability, and security.
Capture per-query metrics with value fingerprinting to identify hot data patterns. FlexBuffers serialization for high-throughput event publishing with minimal memory allocation.
Three-state circuit breaker using atomic operations prevents database overload. Automatic failover with exponential backoff and jitter ensures graceful degradation.
Active and passive health checks with EMA baseline anomaly detection. Catch performance degradation before it impacts production.
Blake3 cryptographic fingerprinting anonymizes query values while preserving pattern analysis. Maintain compliance without sacrificing observability.
Connection pooling with automatic state reset and health validation. Prevents connection exhaustion even when applications maintain their own pools.
Built-in metrics endpoint with percentile latencies, pool utilization, and circuit breaker state. Integrate seamlessly with existing monitoring infrastructure.
Join platform engineers, database architects, and SREs derisking major database changes with production-scale validation.