Spot Optimization
Safely Run More Pods on Spot Instances. Automatically.
Increase Spot adoption and cut cloud costs by up to 70% more by intelligently shifting more workloads to Spot instances without any downtime or disruptions. ScaleOps automatically detects your workloads and manages the optimal policy for each one.
Industry Leaders Using ScaleOps Automation in Production
Granular, Pod-Level Spot Optimization
ScaleOps optimizes workloads at the pod-level by automatically distributing replicas across Spot and On-Demand instances. Real-time rebalancing drives maximum cost savings while maintaining performance and reliability, even when Spot Instances are interrupted.
Centralized, Policy-Driven Spot Management
Eliminate manual tuning and developer intervention with centralized Spot policies for your entire cluster. Clearly define workload behavior: replica ratios between Spot and On-Demand, automatic fallback, and minimum On-Demand capacity.
Maximize Spot Usage. Minimize Cloud Spend.
Automated Policy Detection
ScaleOps uses application context-awareness to analyze workload behavior using historical data and real-time demand, automatically assigning the optimal policy to each workload so that you safely maximize Spot usage and cloud cost savings.
Cloud Resource Management Reinvented
Cut Costs by 80%
Pay only for the cloud resources you need without compromising performance.
Boost Performance & Reliability
Ensure consistent performance and uptime, even in the most dynamic environments.
Free Your Engineers
Eliminate repeated manual tuning forever, allowing you to focus on innovation.