Kubernetes Administrator: Underlying Cluster Infrastructure

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Kubernetes infrastructure is a combination of multiple resources that includes servers, physical or virtual machines, cloud platforms, and more. Kubernetes architecture and components facilitate dynamic and on-demand provisioning of resources that are required to deploy Kubernetes clusters and their components. In this course, you’ll explore the key considerations for Kubernetes deployment and review the pros and cons of the best known approaches for deploying Kubernetes. You’ll learn about node features, the recommended approach to provision and add nodes to Kubernetes clusters, and the process of upgrading Kubernetes clusters. Next, you’ll explore how to use kubectl commands to view a node's status, configure the default CPU requests and limits for namespaces, set quotas for total amount of memory and CPU for all containers running in a namespace, set quotas for total number of Pods that can run in a namespace, and set minimum and maximum values for CPU resources being used by containers and pods in a namespace. Moving on, you’ll use kubeadm and kubectl commands to upgrade cluster control plane nodes from version 1.18.x to version 1.19.x and upgrade kubelet and kubectl on all cluster control plane nodes from version 1.18.x to version 1.19.x. Finally, you’ll discover how to upgrade kubeadm, kubelet, and kubectl on all cluster worker nodes from version 1.18.x to version 1.19.x. This course is part of a series that aligns with the objectives for the Certified Kubernetes Administrator exam and can be used to prepare for this exam.