Test database optimizations in a secure sandbox before touching production. Get before/after proof — not guesses.
When Valk detects an anomaly like a slow query, it doesn't just suggest a fix — it proves the fix works.
Valk extracts your schema structure and builds a test scenario with the problematic query and proposed fix.
A fresh PostgreSQL instance is created with your exact schema and synthetic test data. No network access. Completely isolated.
Execute the query multiple times to get baseline metrics. Apply the fix. Run again. Compare median execution times.
The sandbox is destroyed. You get a detailed report with execution times, improvement percentage, and confidence level.
Simulations run in completely isolated environments. Your production data never leaves your infrastructure.
Sandbox instances cannot reach the internet or any internal services. Complete network isolation.
Every sandbox is created fresh and destroyed after use. No persistent storage. Nothing lingers.
We generate realistic test data that matches your schema types. Your actual row data is never used.
Simulations have strict time limits. Runaway queries are terminated automatically.
Each sandbox has capped CPU and memory. No single simulation can consume excessive resources.
Only pre-validated SQL from Valk's analysis runs in the sandbox. No arbitrary code execution.
Tune simulations to match your production environment for more accurate results.
Match your production version for accurate query planner behavior.
Simulation works best for query optimizations where we can measure before/after performance.
After simulation, Valk provides a recommendation based on the measured improvement.
High confidence this fix will significantly improve performance.
Good improvement expected. Worth applying.
Moderate improvement. Consider trade-offs.
Minimal improvement. May not be worth the overhead.
Don't wait for anomalies. Paste any query, propose any fix, and see the before/after instantly.
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