Kubernetes Administration Quiz
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Questions and Answers

What is the primary responsibility of the kube-controller-manager?

  • Monitoring the system for new requests and reconciling the system state (correct)
  • Scheduling pods to run on nodes
  • Installing and configuring Kubernetes components
  • Running ReplicaSets and deployments
  • What is the purpose of the kube-scheduler?

  • Creating ReplicaSets and deployments
  • Finding suitable nodes for pods and scheduling them (correct)
  • Monitoring the system for new requests
  • Running pods on nodes
  • What is Minikube used for?

  • Installing and configuring a Kubernetes multi-node cluster
  • Scheduling pods on nodes
  • Monitoring the system for new requests
  • Running Kubernetes on a local machine (correct)
  • What is the result of the kube-controller-manager running all controllers?

    <p>Pods are in the 'pending' state</p> Signup and view all the answers

    What is the benefit of using kubeadm?

    <p>It simplifies the installation of Kubernetes components</p> Signup and view all the answers

    What is the first step in setting up a Kubernetes cluster using kubeadm?

    <p>Install Docker on all nodes</p> Signup and view all the answers

    What is the difference between Minikube and kubeadm?

    <p>Minikube is used for running Kubernetes on a local machine, while kubeadm is used for installing and configuring a Kubernetes multi-node cluster</p> Signup and view all the answers

    What is the role of the kubelet in the deployment process?

    <p>It takes control and starts the deployment on a node</p> Signup and view all the answers

    What is the result of using Minikube?

    <p>A demo Kubernetes operation is presented without requiring the time and resource-consuming installation of full-blown Kubernetes</p> Signup and view all the answers

    What is one of the common criticisms of Kubernetes?

    <p>It is difficult to install</p> Signup and view all the answers

    Study Notes

    Kubernetes Architecture

    • A Kubernetes cluster can be divided into two parts: Control Plane and Nodes (or workers)
    • The Control Plane is the brain of Kubernetes, responsible for controlling and managing a set of worker nodes
    • Each node has a "Kubelet", responsible for communicating with the Control Plane

    Kubernetes Components

    • Node: A node may be a virtual or physical machine, depending on the cluster, and runs containers using Pods
    • Cluster: A set of nodes that run containerized applications, allowing containers to run across multiple machines and environments
    • Master Node: Hosts the control plane aspects of the cluster and is responsible for controlling and managing a set of worker nodes
    • API Server: Validates and configures data for API objects, including Pods and Services, and handles authentication, authorization, and admission control
    • Etcd: A distributed key-value data store that contains all Kubernetes cluster information, with multiple instances possible for cluster availability and performance
    • Kubelet: Responsible for everything that happens on the node, listening to the API Server, starting containers, and reporting their statuses
    • Container Runtime: Responsible for running containers, with supported runtimes including Docker, containerd, and CRI-O
    • Scheduler: Watches for newly created pods and assigns nodes for them to run on, considering factors like resource requirements, hardware/software constraints, and data locality
    • Controller Manager: Contains different controllers responsible for reconciling the actual state of the cluster to the desired state, with controllers for deployments, nodes, services, and more

    Pods and Containers

    • Pod: The most basic object in Kubernetes, encapsulating one or more containers, with each container instance in a pod recommended to be separate
    • Container: Runs inside a Pod, with multiple containers possible in a single Pod

    Kubernetes Roll-outs

    • Create a YAML file describing the desired state configuration of the cluster
    • Apply the YAML file to the cluster through kubectl
    • kubectl submits the request to the kube-apiserver, which authenticates and authorizes the request
    • The kube-controller-manager continuously monitors the system for new requests and works towards reconciling the system state to the desired state
    • The kube-scheduler assigns nodes for pods to run on, and communicates with the kubelet to start the deployment

    Setting up Kubernetes

    • Local Solutions: Minikube, a utility used to run Kubernetes on a local machine, creating a single node cluster for demo Kubernetes operations
    • Public Cloud Solutions: Online k8s solutions
    • Installation Methods: The Hard Way, Installer-based kubeadm, Kops, Kubespray, etc., with kubeadm allowing for simple, automated installations of multi-node clusters

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    Test your knowledge of Kubernetes administration, from its architecture to setup and operation. Practice with Minikube and Kubeadm.

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