Eliminate unnecessary resource usage, rightsize your workloads, and save up to 50% on Cloud costs through smart, automated optimization.
Automatically identify over-provisioned resources and efficiently reallocate Kubernetes workloads using a bin-packing strategy. By applying cluster auto scaling based on traffic fluctuations, you can flexibly scale nodes up or down as needed, maximize resource utilization, and reduce infrastructure costs.
Automatically adjust resources based on workload traffic changes. When traffic increases, resources scale up instantly; when usage decreases, unnecessary resources are scaled down—ensuring optimal performance at minimal cost. Experience dynamic resource scaling that enables stable cluster operations without excessive waste.
Automatically identify interruptible workloads and switch them to spot instances. This strategy is optimized for low-priority or batch jobs and is one of the most effective ways to reduce cloud costs, offering up to 90% savings compared to on-demand instances.
Automatically remove resources during idle periods and instantly recreate them when needed. Resources are flexibly managed according to operating schedules and remain at ‘zero’ outside designated times to prevent unnecessary costs. With smart resource scheduling, maximize operational efficiency at minimal cost.