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Real-Time Automated Pod Rightsizing

Real-Time Automated Pod Rightsizing

Instantly cut K8s costs by up to 80%. ScaleOps continuously right-sizes CPU and memory requests based on actual usage, not assumptions, improving performance and application reliability.

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How it works

Real-Time, Automated CPU & Memory Adjustment

ScaleOps dynamically tunes pod resources every second based on actual workload demand, removing the need for static configurations.

Workload Policy Auto Detection

Intelligently applies the optimal resource scaling policy per workload type, eliminating guesswork and manual intervention.

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Seamless Compatibility with HPA, KEDA & GitOps

Works alongside horizontal autoscalers (HPA, KEDA) to optimize vertical and horizontal scaling without conflicts.

Auto-Healing & Burst Protection

Detects and mitigates performance issues caused by sudden traffic spikes or resource starvation, ensuring uninterrupted workloads..

Cloud Resource Management Reinvented

Cut K8s Costs
Cut Kubernetes costs by up to 80% with intelligent resource optimization, paying only for what you need without compromising performance.
Free Your Engineers
ScaleOps automates real-time resource allocation, optimizing CPU and memory across workloads and clusters, trusted by 100+ customers in critical production.
Improve Performance & Reliability
Optimize Kubernetes for peak performance and reliability with automated tools that handle sudden bursts and node stress.
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Instant Value with Seamless Automation

Install with a single helm command. That’s it.

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Schedule your demo

Submit the form and schedule your 1:1 demo with a ScaleOps platform expert.

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