The Evolution of Kubernetes Management: Introducing the KubeTwin Framework

The current trend in the management of complex and highly distributed microservices architecture is to leverage container-based orchestration tools such as Kubernetes. Kubernetes provides several capabilities that help service providers to deal with essential aspects of service provisioning such as service replication, scalability, and cluster federation. However, finding a suitable configuration for a Kubernetes application and optimizing its deployment in complex scenarios like Compute Continuum ones can be a very time-consuming and challenging operation. To simplify this process, this research project introduces the KubeTwin framework, a Digital Twin-based solution to evaluate the behavior and the impact of Kubernetes applications in a shorter computation time. Due to an accurate virtual representation of a Kubernetes application, KubeTwin provides a plethora of functionalities that can help providers to assess their ecosystems by employing different mechanisms that span from performance optimization to chaos engineering. Results shown by the first experimental model evaluations demonstrate the strength of this project and encourage for future major efforts.