Automatically right-size workloads, reduce cloud spend by up to 50%, and validate every change with ML-powered backtesting before you apply.
No credit card required. Free tier available.
Without intelligent automation, you're constantly choosing between over-spending and risking outages.
Workloads using 10% of allocated resources
Engineers guessing resource requirements
Unknown actual vs requested usage
Afraid to reduce resources safely
Kontrol analyzes your workloads, validates recommendations against history, and lets you apply changes with confidence.
ML-powered CPU and memory rightsizing with safety scores for each recommendation.
Simulate every change against historical data. See survival rates before applying.
Apply recommendations directly via in-cluster agent. No kubectl required.
Real-time visibility by cluster, namespace, and workload with cloud pricing.
Based on actual rightsizing of test clusters.
Backtested against 7 days of real usage data.
Agent install to first recommendations.
Deploy our lightweight agent to your cluster with a single kubectl command.
ML analyzes usage patterns and generates validated recommendations.
Review safety scores and apply changes with one click.
Start free, scale as you grow.
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Need more than 100 nodes per cluster?
Join teams saving thousands on cloud costs with validated recommendations.