Adaptive Pod Autoscaling for Enhanced Quality of Service in On-Premise Kubernetes Environments

Abstract

Micro-services and cloud systems are developing into effective business tools nowadays. These container-based designs have made it possible to construct sophisticated SaaS applications efficiently. Managing and creating microservices with a wide range of different capabilities is a difficult task, from data processing and data warehousing to computing, prescriptive, and predictive analytics. Data centers made up of enormous, heterogeneous virtualized systems that are constantly expanding and diversifying over time are the foundation for computing service providers. Additionally, these technologies must be integrated with existing designs while adhering to Quality of Service (QoS) requirements. The primary objective of the proposed work is to provide an on-premises architecture based on Kubernetes and Docker.