| dc.description.abstract | In the advanced world, the virtualization environment on the physical server is not too strage for the current 4.0 Industrial Revolution. It helps the organizations operate their infrastructure effectively and not wastes the price of equipments. Early on, the organizations run virtural machines to run their applications or services on the physical server, they must spend much time installing or setting up the environment for VMs, especially, creating the new VMs wastes the majority of resources on the server and be difficult to scale up, down. Therefore, container deployment is born to solve above problem. The purpose of container pakages the applications and isolates them from the host. Mainly, this make is the container fast reliable efficient lightweight and scalable.
However, to scale up, down containers is not easy, because all operations must be performed manually. In the production environment, the organizations need to manage and automatically scale the containers that run the applications and ensure that there is no downtime. For example, if a container goes down, another container needs to start. Thus, in this thesis, Kubernetes is proposed to help scale and run distributed systems resiliently. It takes care of scaling and failover for the application.
As a result, the Kuberneters is able to help the infrastructure make sure that there is no downtime and restart containers that fail. In additions, it also helps rollouts and rollbacks when we have multiple requests at the same time, for example. It means that we can automate Kubernetes to create new containers for our deployment, remove existing containers and adopt all our resources to the new container. | en_US |
