Cloud Cost Optimization
Reduce Cloud costs by up to 80%
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?
increase efficiency
cost savings
efficient management
better planning
automated operations
resources optimization
What problems does MLOps help to solve?
1Continuous & 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.
2Optimal Node Utilization
Automatically optimize Kubernetes nodes and boost cluster efficiency by consolidating pods onto more suitable nodes and removing unnecessary ones.
3Workload-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.
4Simplified Cost Visibility
Easily analyze cluster costs, set alerts for budget deviations, with a simplified cost showback dashboard.
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.
Your workloads, for 80% less
Gain real-time recommendations, understand your cost structure, detect resource consumption anomalies, and get real-time alerts accordingly.
