Introduction: Distributed computing is a field of computer science which deals with the study of distributed systems A system which has communication and coordination with each of its nodes and which interacts with each other to achieve a common target which is to effectively compute the computation. These capabilities are conducive to implementing a systematic and efficient COVID-19 tracking application which can be accessed and worked on by numerous entities. Objective: To provide information about a client-server architecture which is a platform for managing and maintaining containerized workloads and services that forms a base for automation. Methods: A Kubernetes cluster IS created with a calico pod network along with the main drivers of Kubelet, Kubeadm and Kubectl. Secure Shell (SSH) protocol is used for secured shell and data management and authentication between the client and server. Results: We have performed and distributed our tasks in such a way to show the developers that multiple tasks can be performed at the same time using Kubernetes orchestration platform and used to parallelize multiple tasks. This increases the efficiency of the machine and the performance of the system becomes much faster. Conclusion: A system which has communication and coordination with each of its nodes and which interacts with each other to achieve a common target which is to effectively compute the computation. One such application which helps in the distribution of tasks and helps do the computation is Kubernetes. It is based on a client-server architecture which is a platform for managing and maintaining containerized workloads and services that forms a base for automation. Key Words: Kubernetes, Microservices, Docker, Kubeadm, Kubelet, Kubectl, COVID-19