Cloud Cost Optimization

Reduce Cloud costs by up to 80%
cloudCostOptimization

Dynamic & Automated Optimization of Kubernetes Workloads

ScaleOps is the industry-first Kubernetes Optimization Platform that automatically adjusts Compute Resources to changes in real-time, streamlining a new Kubernetes experience for engineering teams.

Why is this solution best for you?

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increase efficiency
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cost savings
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efficient management
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better planning
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automated operations
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resources optimization

What problems does Cloud Cost Optimization help to solve?

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Continuous & Automatic Pod Rightsizing

Automatically adjusts CPU and Mem requests of Kubernetes pods during runtime.Significantly reduce compute costs and eliminate OOM and CPU throttling by dynamically scaling resources according to workloads needs.

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Optimal Node Utilization

Automatically optimize Kubernetes nodes and boost cluster efficiency by consolidating pods onto more suitable nodes and removing unnecessary ones.

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Workload-Based Scaling Policies

Select from multiple pre-defined scaling policies that match your workload needs, accelerate your time to value and start saving in minutes.

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Simplified Cost Visibility

Easily analyze cluster costs, set alerts for budget deviations, with a simplified cost showback dashboard.

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Damian, Cloud Infrastructure Architect

Our employees about AI Adoption

Cloud cost optimization is crucial for businesses to maximize their return on investment and reduce unnecessary expenses in cloud services. It allows organizations to right-size resources, improve budget planning, and gain a competitive advantage by reallocating savings towards innovation and growth. Overall, it helps businesses achieve cost efficiency and transparency in their cloud operations.

Damian, Cloud Infrastructure Architect
Damian, Cloud Infrastructure Architect

Your workloads, for 80% less

Gain real-time recommendations, understand your cost structure, detect resource consumption anomalies, and get real-time alerts accordingly.

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