The Covid-19 pandemic that occurred requires the government to take a stance to prevent the spread of the virus, including in the education sector. The online learning process during the Covid-19 pandemic had several problems. This research aims to find out the issues of Distance Learning or what is commonly referred to online during the Covid-19 pandemic and its solutions. Following the issues raised, this research data was obtained from various sources, such as journals, websites, and other sources. The results of this study indicate that there are multiple problems or problems experienced by students, namely, students become bored and less interested in participating in online learning activities because learning activities tend to be replaced with online assignments, students do not have learning support facilities, uneven internet network access sometimes tricky, high cost of internet quota, and not ready to implement the teaching and learning process remotely or online.

The development of web based applications is grow up rapidly along with technological advances recently. Therefore the user of web and mobile applications are also increase. So applications can be accessed using a variety of device such as computer, mobile platform, notebook, that’s why ease in the process of deployment of web applications to the server is needed. The previous monolithic technology, the deployment process requires a large amount of resources, scalability, system availability and computational service capabilities. Recently, we present container technology is the solution to dealing large computing services with high traffic, container technology system is created one with libraries, application and configuration files and everything needed. The container can be managed with kubernetes to makes it easier for administrator to control management data efficiently. In this study the retrieval of data is taken from QOS parameters consisting of: throughput, response time. Data from the test will determine the reliability of docker kubernetes based container technology. The suggested result is to compare the QOS multi container process with a single container or virtual private server, deployment and provide an alternative solution to make it easier for administrators to manage containers using the Kubernetes more easily and efficiently.