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kubectl: Command-Line Kubernetes in a Nutshell
kubectl: Command-Line Kubernetes in a Nutshell

kubectl: Command-Line Kubernetes in a Nutshell: Deploy, manage, and debug container workloads using the Kubernetes CLI

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kubectl: Command-Line Kubernetes in a Nutshell

Chapter 1: Introducing and Installing kubectl

Kubernetes is an open source container orchestration system for managing containerized applications across multiple hosts in a cluster.

Kubernetes provides mechanisms for application deployment, scheduling, updating, maintenance, and scaling. A key feature of Kubernetes is that it actively manages containers to ensure that the state of the cluster always matches the user's expectations.

Kubernetes enables you to respond quickly to customer demand by scaling or rolling out new features. It also allows you to make full use of your hardware.

Kubernetes is the following:

  • Lean: Lightweight, simple, and accessible
  • Portable: Public, private, hybrid, and multi-cloud
  • Extensible: Modular, pluggable, hookable, composable, and toolable
  • Self-healing: Auto-placement, auto-restart, and auto-replication

Kubernetes builds on a decade and a half of experience at Google running production workloads at scale, combined with best-of-breed ideas and best practices from the community:

Figure 1.1 – A 10,000-foot view of Kubernetes' architecture

Figure 1.1 – A 10,000-foot view of Kubernetes' architecture

One of the ways to manage Kubernetes clusters is kubectl—Kubernetes' command-line tool for management, it is a tool for accessing a Kubernetes cluster that allows you to run different commands against Kubernetes clusters to deploy apps, manage nodes, troubleshoot deployments, and more.

In this chapter, we're going to cover the following main topics:

  • Introducing kubectl
  • Installing kubectl
  • kubectl commands

Technical requirements

To learn kubectl, you will need access to a Kubernetes cluster; it can be one of these cloud ones:

Alternatively, it can be a local one:

In this book, we are going to use Google Cloud's GKE Kubernetes cluster.

Introducing kubectl

You can use kubectl to deploy applications, inspect and manage them, check cluster resources, view logs, and more.

kubectl is a command-line tool that can run from your computer, in CI/CD pipelines, as part of the operating system, or as a Docker image. It is a very automation-friendly tool.

kubectl looks for a configuration file named .kube in the $HOME folder. In the .kube file, kubectl stores the cluster configurations needed to access a Kubernetes cluster. You can also set the KUBECONFIG environment variable or use the --kubeconfig flag to point to the kubeconfig file.

Installing kubectl

Let's take a look at how you can install kubectl on macOS, on Windows, and in CI/CD pipelines.

Installing on macOS

The easiest way to install kubectl on macOS is using the Homebrew package manager (https://brew.sh/):

  1. To install, run this:
    $ brew install kubectl
  2. To see the version you have installed, use this:
    $ kubectl version –client --short
    Client Version: v1.18.1

Installing on Windows

To install kubectl on Windows, you could use the simple command-line installer Scoop (https://scoop.sh/):

  1. To install, run this:
    $ scoop install kubectl
  2. To see the version you have installed, use this:
    $ kubectl version –client --short
    Client Version: v1.18.1
  3. Create the .kube directory in your home directory:
    $ mkdir %USERPROFILE%\.kube
  4. Navigate to the .kube directory:
    $ cd %USERPROFILE%\.kube
  5. Configure kubectl to use a remote Kubernetes cluster:
    $ New-Item config -type file

Installing on Linux

When you want to use kubectl on Linux, you have two options:

  • Use curl:
    $ curl -LO https://storage.googleapis.com/kubernetes-release/release/`curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt`/bin/linux/amd64/kubectl
  • If your Linux system supports Docker images, use https://hub.docker.com/r/bitnami/kubectl/.

    Note

    Linux is a very common environment for CI/CD pipelines.

kubectl commands

To get a list of supported kubectl commands, run this:

$ kubectl --help

kubectl commands are grouped by category. Let's look at each category.

Basic commands

The following are basic kubectl commands:

  • create: Create a resource from a file or from stdin; for example, create a Kubernetes deployment from the file.
  • expose: Take a service, deployment, or pod and expose it as a new Kubernetes Service.
  • run: Run a particular image on the cluster.
  • set: Set specific features on objects—for example, set environment variables, update a Docker image in a pod template, and so on.
  • explain: Get the documentation of resources—for example, the documentation on deployments.
  • get: Display one or many resources. For example, you can get a list of running pods or the YAML output of a pod.
  • edit: Edit a resource—for example, edit a deployment.
  • delete: Delete resources by filenames, stdin, resources, and names, or by resources and label selectors.

Deploy commands

The following are kubectl deploy commands:

  • rollout: Manage the rollout of a resource.
  • scale: Set a new size for a deployment, ReplicaSet, or StatefulSet.
  • autoscale: Auto-scale a deployment, ReplicaSet, or StatefulSet.

Cluster management commands

The following are the kubectl cluster management commands:

  • certificate: Modify certificate resources.
  • cluster-info: Display cluster information.
  • top: Display resource (CPU/memory/storage) usage.
  • cordon: Mark a node as unschedulable.
  • uncordon: Mark a node as schedulable.
  • drain: Drain a node in preparation for maintenance.
  • taint: Update the taints on one or more nodes.

Troubleshooting and debugging commands

The following are the kubectl troubleshooting and debugging commands:

  • describe: Show the details of a specific resource or group of resources.
  • logs: Print the logs for a container in a pod.
  • attach: Attach to a running container.
  • exec: Execute a command in a container.
  • port-forward: Forward one or more local ports to a pod.
  • proxy: Run a proxy to the Kubernetes API server.
  • cp: Copy files and directories to and from containers.
  • auth: Inspect authorization.

Advanced commands

The following are the kubectl advanced commands:

  • diff: Show difference of live version against a would-be applied version.
  • apply: Apply a configuration to a resource by filename or stdin.
  • patch: Update the field(s) of a resource using a strategic merge patch.
  • replace: Replace a resource by filename or stdin.
  • wait: Wait for a specific condition on one or many resources.
  • convert: Convert config files between different API versions.
  • kustomize: Build a kustomization target from a directory or a remote URL.

Settings commands

The following are the settings commands in kubectl:

  • label: Update the labels on a resource.
  • annotate: Update the annotations on a resource.

Other commands

The following are several other commands used in kubectl:

  • alpha: Commands for features in alpha.
  • api-resources: Print the supported API resources on the server.
  • api-versions: Print the supported API versions on the server, in the form of group/version.
  • config: Modify kube-config files.
  • plugin: Provide utilities for interacting with plugins.
  • version: Print the client and server version information.

As you can see from the lists, commands are divided into different groups. We are going to learn about most but not all of these commands in the coming chapters.

At the time of writing, the kubectl version is 1.18; with more recent versions, the commands might have changed.

Summary

In this chapter, we have learned what kubectl is and how to install it on macOS, Windows, and CI/CD pipelines. We also checked out the different commands supported by kubectl and what they do.

In the next chapter, we will learn how to get information about Kubernetes clusters using kubectl.

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Key benefits

  • Explore the Kubernetes command line for deploying applications, inspecting clusters, and viewing logs
  • Leverage kubectl for Kubernetes application management and container debugging
  • Apply your knowledge of Docker to learn kubectl equivalent commands for Docker subcommands

Description

The kubectl command line tool lets you control Kubernetes clusters to manage nodes in the cluster and perform all types of Kubernetes operations. This introductory guide will get you up to speed with kubectl in no time. The book is divided into four parts, touching base on the installation and providing a general overview of kubectl in the first part. The second part introduces you to managing Kubernetes clusters and working with nodes. In the third part, you’ll be taken through the different ways in which you can manage Kubernetes applications, covering how to create, update, delete, view, and debug applications. The last part of the book focuses on various Kubernetes plugins and commands. You’ll get to grips with using Kustomize and discover Helm, a Kubernetes package manager. In addition to this, you’ll explore how you can use equivalent Docker commands in kubectl. By the end of this book, you’ll have learned how to install and update an application on Kubernetes, view its logs, and inspect clusters effectively.

Who is this book for?

This book is for developers, system administrators, and anyone who wants to use the kubectl command-line tool to perform Kubernetes functionalities. A basic understanding of Kubernetes and Docker is required to get started with this book.

What you will learn

  • Get to grips with the basic kubectl commands
  • Delve into different cluster nodes and their resource usages
  • Understand the most essential features of kubectl
  • Discover how to patch Kubernetes deployments with Kustomize
  • Find out ways to extend kubectl tools with their own plugins
  • Explore how to use Helm as an advanced tool for deploying apps
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Table of Contents

15 Chapters
Section 1: Getting Started with kubectl Chevron down icon Chevron up icon
Chapter 1: Introducing and Installing kubectl Chevron down icon Chevron up icon
Section 2: Kubernetes Cluster and Node Management Chevron down icon Chevron up icon
Chapter 2: Getting Information about a Cluster Chevron down icon Chevron up icon
Chapter 3: Working with Nodes Chevron down icon Chevron up icon
Section 3: Application Management Chevron down icon Chevron up icon
Chapter 4: Creating and Deploying Applications Chevron down icon Chevron up icon
Chapter 5: Updating and Deleting Applications Chevron down icon Chevron up icon
Chapter 6: Debugging an Application Chevron down icon Chevron up icon
Section 4: Extending kubectl Chevron down icon Chevron up icon
Chapter 7: Working with kubectl Plugins Chevron down icon Chevron up icon
Chapter 8: Introducing Kustomize for Kubernetes Chevron down icon Chevron up icon
Chapter 9: Introducing Helm for Kubernetes Chevron down icon Chevron up icon
Chapter 10: kubectl Best Practices and Docker Commands Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(6 Ratings)
5 star 50%
4 star 33.3%
3 star 16.7%
2 star 0%
1 star 0%
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Walter Lee Dec 01, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I highly recommend this new book by Rimantas Mocevicius. Finally a good book on the Swiss army knife, kubectl, for k8s with good examples. The first 6 chapters shows all about kubectl and how to do this and that with kubectl. Although we will often do declarative deployments. It is still important to know how to do things imperatively, e.g. k drain/cordon a problematic node, describe this and that k8s objects, k rollout undo/status/history, etc... It shows many real life kubectl on cloud examples with GCP GKE.I like Chapter 7 most because it shows how we can extend kubectl with plugins, e.g. how to use Krew to find and install plugins, then you can use "k really get all" plugin, k view-allocations, etc. It then teaches how to create your own simple plugin.Chapter 8 teaches Kustomize and how to use it to deploy with overlays.Chapter 9 is another favorite, Helm! Rimantas knows this very well because he is a co-author of Helm."Helm is the de facto Kubernetes package manager, and one of the best and easiest ways to install any kind of complex application on Kubernetes." (p. 93 of the book).He walks the readers step by step in Helm and how to use it to helm install, upgrade, rollback, template, lint, plugin, ... applications/deployments etc. For example, Rimantas shows us the proper way to change values of a helm chart (p.97). "To change values, it is recommended to use the override-values.yaml file ...Changing the default values.yaml file that comes with the chart is not recommended, as you might lose track of changes in the newer versions of the file.”! (It is a very good tip !)Ch.10 has some kubectl best practices and docker commands. I like the side by side equivalent of docker commands in kubectl. When the k8s API server is not responding, then these docker commands can help you troubleshoot more.Cons: there are a few syntax errors on p. 46, 53 and 70 when it should be double dashes " - -" but shown as single long dash "-" in the code block. Likely a formatting issue when published.
Amazon Verified review Amazon
Amazon Customer Mar 04, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Thank you Eldad! JFrog rules the world. This book brought me up to speed from novice to expert in kubernetes and container management. It's easy to read, understand and apply the knowledge to simple and complex DevOps solutions. I'm very happy I came across this book after going through many such books on the topic. Thank you again for excellent work!
Amazon Verified review Amazon
Rahul Agrawal Dec 05, 2020
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I always wanted to learn more about kubectl commands i am so happy that I came across this book by Packt, I will recommend this to all
Amazon Verified review Amazon
Dustin Dec 07, 2020
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
As other reviews have mentioned, this book does a great job of using kubectl to create and modify Kubernetes cluster resources. The official documentation can be overwhelming when new to Kubernetes. This book does a good job of aiding with order and structure to learn kubectl.This book also touches on kustomize and Helm, a nice surprise and not something often discussed while teaching kubectl.I would have enjoyed more detail on creating kubectl plugins. A more thorough chapter on creating plugins would make this book really stand out.
Amazon Verified review Amazon
jjuarez Dec 07, 2020
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
I like the completion of the look over the tool capabilities, I don’t like that the book is, may be, quite short
Amazon Verified review Amazon
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