As teams adopt Kubernetes, low resource utilization becomes a significant issue. The State of Kubernetes Overprovisioning report found that 37% of CPUs for cloud-native applications are never used, on average. CAST AI automates Kubernetes deployment and frees these resources to be used more efficiently. It helps in selecting the right machine for the job, scaling up or down according to real-time demand changes, compacting pods into fewer nodes, instantly moving workloads to optimal compute instances, and automating spot instance usage. By automating these tedious aspects of managing Kubernetes infrastructure, teams can save a serious buck and achieve low and predictable cloud bills. CAST AI provides a suite of automation solutions in one place, with all of them working together to deliver benefits, and its clients save an average of 63% on their Kubernetes bills.