Eliminate scaling lag without overprovisioning Kubernetes
Let’s get right to the point: most Kubernetes workloads are underutilizing CPU and memory, with 49% of containers using less CPU than their defined requests. Although Kubernetes provides users with the ability to define resource guidelines for containers based on CPU and memory needs, it can be difficult to define and maintain these resource requirements for dynamic applications, especially in fast scaling scenarios.