EVENT DRIVEN KUBERNETES AUTOSCALER FOR CLOUD NATIVE APPS

Abstract

Kubernetes and Docker have emerged to be a key solution for managing and organizing containers in microservice applications. With autoscaling, one of Kubernetes key features that dynamically modifies resources like CPU and memory to fit changing demands, it gives us a strong and efficient way to manage our application. Yet, the conventional autoscaling methods, such as the Horizontal Pod Autoscaler (HPA), often have difficulties on customary metrics, like CPU and memory utilization, which may not be fully suitable with the constant changes in the modern applications. This project aims at solving this problem by suggesting a unique solution which is Event Driven Kubernetes Autoscaler for Cloud Native Apps that is specifically made to work with the scaling needs of the application based on the message queue traffic. The custom scaling algorithm is an important part of the project, which unlike the previous traditional autoscalers who needed predefined metrics and did not provide much flexibility, the custom Metric based Autoscaler allows developers to select their own metrics and scaling parameters, thus providing flexibility and great user experience as they can meet the performance needs of all the applications. Keywords: Kubernetes, Docker, Microservices, Autoscaling, Cloud-Native, Horizontal Pod Autoscaler (HPA)