Real-Time Automated Pod Rightsizing
Eliminate Waste, Boost Performance
Automatically optimize CPU and memory for every pod in real time cutting costs while ensuring peak performance.
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.
Start saving in minutes, not days
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.
Performance & Reliability
Optimize Kubernetes for peak performance and reliability with automated tools that handle sudden bursts and node stress.
