Software Aging and Rejuvenation is a research topic that is being observed increasingly in the most diverse computing scenarios since the demand for reliability and availability of services has increased significantly. With the increasing use of containerized systems, there is also a need for the support of an orchestrator to ease management and reduce operational costs. In this paper, the behavior of Kubernetes software is evaluated, using both Minikube and K3S tools, while they manage pods in an accelerated lifetime experiment. Operations for creating and terminating pods are executed continuously, thus enabling us to observe the utilization of computing resources (e.g., CPU, memory, and I/O), the performance of the Minikube and K3S environments, and the response time of an application hosted in those environments. Software aging effects were observed in some conditions and for specific metrics, such as virtual memory usage, indicating a memory leak that is not fully cleared when the cluster is stopped. The issues found in this work may lead to system performance degradation and eventually compromise reliability and availability when the system crashes due to memory space exhaustion as well as full utilization of swap space on the hard disk.