Continuous Kubernetes rightsizing engineers trust
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Cut Kubernetes costs by up to 80% and eliminate performance risks with ML-powered optimization that scales across thousands of workloads—without breaking your autoscalers or triggering OOMKills.
No more manual CPU and memory tuning
Stop guessing at resource requests. Our ML engine analyzes usage every 15 seconds to forecast demand and rightsize automatically—adjusting to daily spikes and long-term trends.
Rightsizing that works with your autoscalers
Unlike basic VPA tools that conflict with HPA, our bi-dimensional scaling harmonizes vertical and horizontal pod adjustments—cutting overprovisioning while avoiding CPU throttling and latency issues.
The first rightsizer that understands Java
Optimize JVM heap sizes and container memory limits together so your memory footprint shrinks without triggering crashes—critical for production Java workloads.
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