A Kubernetes Autoscaler Based on Pod Replicas Prediction

Kubernetes, as the de facto standard for scheduling and scheduling containers, has been widely used in the industry. However, the existing scaling strategy of Kubernetes is only the response scaling of thresholds. To improve the efficiency of resource scaling, an active Kubernetes auto scaling device based on Pod replica prediction is proposed. The experiment shows that the autoscaler proposed in this paper has the advantage of faster response speed.