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Kubernetes - A Complete DevOps Cookbook
Kubernetes - A Complete DevOps Cookbook

Kubernetes - A Complete DevOps Cookbook: Build and manage your applications, orchestrate containers, and deploy cloud-native services

By Murat Karslioglu
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Book Mar 2020 584 pages 1st Edition
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Publication date : Mar 13, 2020
Length 584 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781838828042
Vendor :
Google
Concepts :
Table of content icon View table of contents Preview book icon Preview Book

Kubernetes - A Complete DevOps Cookbook

Operating Applications on Kubernetes

In this chapter, we will discuss the provisioning tools available to deploy cloud-native applications on Kubernetes. You will learn how to deploy DevOps tools and CI/CD (short for continuous integration/continuous delivery or continuous deployment) infrastructure on Kubernetes using the most popular life cycle management options. You will gain the skills to perform Day 1 and some Day 2 operations, such as installing, upgrading, and version controlling Deployments, ruling out a new application, and removing Deployments when they are no longer needed.

In this chapter, we will be covering the following topics:

  • Deploying workloads using YAML files
  • Deploying workloads using Customize
  • Deploying workloads using Helm charts
  • Deploying and operating applications using Kubernetes operators
  • Deploying and managing the life cycle of Jenkins X
  • Deploying...

Technical requirements

Recipes in this section assume that you have a functional Kubernetes cluster deployed following one of the recommended methods described in Chapter 1, Building Production-Ready Kubernetes Clusters.

The Kubernetes Operations tool kubectl will be used for the rest of the recipes in this section since it's the main command-line interface for running commands against Kubernetes clusters. If you are using a Red Hat OpenShift cluster, you can replace kubectl with oc and all commands are expected to function similarly.

Deploying workloads using YAML files

In this section, we will create the resource configurations required to deploy your applications in Kubernetes. You will learn how to create a Kubernetes manifest, deploy a workload, and roll out a new version using Yet Another Markup Language (YAML) files.

Getting ready

Before you start, clone the repository of the examples used in this chapter:

$ git clone https://github.com/k8sdevopscookbook/src.git

Make sure you have a Kubernetes cluster ready and kubectl configured to manage the cluster resources.

How to do it…

This section is further divided into the following subsections to ease the process:

  • Creating a Deployment
  • Verifying a Deployment
  • Editing a Deployment
  • Rolling back a Deployment
  • Deleting a Deployment

Creating a Deployment

This recipe will take you through instructions to create a Deployment using a manifest file that keeps a set of pods running. Deployments are used to declare how many replicas of a pod should be running. A Deployment...

Deploying workloads using Kustomize

In this section, we will show you how to generate resources from files and compose and customize collections of resources in Kubernetes. You will learn about the declarative management of Kubernetes objects using Kustomize.

Getting ready

Make sure you have a Kubernetes cluster ready and kubectl configured to manage the cluster resources.

The source files created in this section can be found on my GitHub repository located at https://github.com/k8sdevopscookbook/src/tree/master/chapter2/kustomize. It is recommended that you follow the instructions to create and edit them and only use the files in the repository to compare with your files if you run into an issue.

How to do it…

This section is further divided into the following subsections to ease the process:

  • Validating the Kubernetes cluster version
  • Generating Kubernetes resources from files
  • Creating a base for a development and production Deployment

Validating the Kubernetes cluster version...

Deploying workloads using Helm charts

In this section, we will show you how to use Helm charts in Kubernetes. Helm is the package manager for Kubernetes, which helps developers and SREs to easily package, configure, and deploy applications.

You will learn how to install Helm on your cluster and use Helm to manage the life cycle of third-party applications.

Getting ready

Make sure you have a Kubernetes cluster ready and kubectl configured to manage the cluster resources.

How to do it…

This section is further divided into the following subsections to ease the process:

  • Installing Helm 2.x
  • Installing an application using Helm charts
  • Searching for an application in Helm repositories
  • Updating an application using Helm
  • Rolling back an application using Helm
  • Adding new Helm repositories
  • Deleting an application using Helm
  • Building a Helm chart

Installing Helm 2.x

Let's perform the following steps to configure the prerequisites and install Helm:

  1. Create a ServiceAccount by using...

Deploying and operating applications using Kubernetes operators

Kubernetes operators are another method of bundling, deploying, and managing application for Kubernetes. Operators are a bit more complex than a package manager like Helm. An operator helps to remove manual steps, application-specific preparation, and post-deployment steps, and even automates second-day operations such as scaling or upgrading them for the user.

As an example, an application's requirements might be validated differently based on the platform on which it is installed or may require changes to its configuration and interaction with external systems.

In this section, we will deploy two operators for popular stateful applications based on two different operator frameworks and learn what functionalities they offer.

Getting ready

Make sure you have a Kubernetes cluster ready and kubectl configured to manage the cluster resources.

How to do it…

This section is further divided into the following subsections...

Deploying and managing the life cycle of Jenkins X

Jenkins X is an open source solution that offers software developers pipeline automation, built-in GitOps, CI, automated testing, and CD, known as CI/CD, in Kubernetes. Jenkins X is highly focused on accelerating software delivery at a large scale using the Kubernetes ecosystem.

In this section, we will focus on Jenkins X recipes and create a Kubernetes cluster with CI/CD capabilities on your cloud provider.

Getting ready

In the following recipes, you will learn how to create a static Jenkins Server to deploy Kubernetes clusters with pipeline automation and automated CI/CD with GitOps promotion and preview environments.

This recipe requires kubectl and Helm. For this recipe, we will use GKE (short for Google Kubernetes Engine), therefore the gcloud CLI tool needs to be installed as well. You also need to have a proper GitHub organization and GitHub account created.

How to do it...

This section is further divided into the following...

Deploying and managing the life cycle of GitLab

GitLab is a complete DevOps tool chain, delivered in a single application platform. GitLab provides all the necessary tooling you need to manage, plan, create, verify, package, release, configure, monitor, and secure your applications.

In this section, we will cover the deployment and life cycle management of GitLab using Helm charts.

Getting ready

In the following recipe, you will learn how to install GitLab on an existing Kubernetes cluster where you can manage the entire DevOps life cycle.

This recipe requires kubectl and Helm, as well as an existing Kubernetes cluster. For this recipe, we will use the cluster we deployed on AWS in Chapter 1, Building Production-Ready Kubernetes Clusters. You should be able to run the same recipe on any Kubernetes cluster version 1.11 or higher with a minimum of 6vCPU and 16 GB of RAM.

How to do it...

This section is further divided into the following subsections to ease the process:

  • Installing GitLab...
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Key benefits

  • Implement Kubernetes to orchestrate and scale applications proficiently
  • Leverage the latest features of Kubernetes to resolve common as well as complex problems in a cloud-native environment
  • Gain hands-on experience in securing, monitoring, and troubleshooting your application

Description

Kubernetes is a popular open source orchestration platform for managing containers in a cluster environment. With this Kubernetes cookbook, you’ll learn how to implement Kubernetes using a recipe-based approach. The book will prepare you to create highly available Kubernetes clusters on multiple clouds such as Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure, Alibaba, and on-premises data centers. Starting with recipes for installing and configuring Kubernetes instances, you’ll discover how to work with Kubernetes clients, services, and key metadata. You’ll then learn how to build continuous integration/continuous delivery (CI/CD) pipelines for your applications, and understand various methods to manage containers. As you advance, you’ll delve into Kubernetes' integration with Docker and Jenkins, and even perform a batch process and configure data volumes. You’ll get to grips with methods for scaling, security, monitoring, logging, and troubleshooting. Additionally, this book will take you through the latest updates in Kubernetes, including volume snapshots, creating high availability clusters with kops, running workload operators, new inclusions around kubectl and more. By the end of this book, you’ll have developed the skills required to implement Kubernetes in production and manage containers proficiently.

What you will learn

Deploy cloud-native applications on Kubernetes Automate testing in the DevOps workflow Discover and troubleshoot common storage issues Dynamically scale containerized services to manage fluctuating traffic needs Understand how to monitor your containerized DevOps environment Build DevSecOps into CI/CD pipelines

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Product Details


Publication date : Mar 13, 2020
Length 584 pages
Edition : 1st Edition
Language : English
ISBN-13 : 9781838828042
Vendor :
Google
Concepts :

Table of Contents

12 Chapters
Preface Chevron down icon Chevron up icon
Building Production-Ready Kubernetes Clusters Chevron down icon Chevron up icon
Operating Applications on Kubernetes Chevron down icon Chevron up icon
Building CI/CD Pipelines Chevron down icon Chevron up icon
Automating Tests in DevOps Chevron down icon Chevron up icon
Preparing for Stateful Workloads Chevron down icon Chevron up icon
Disaster Recovery and Backup Chevron down icon Chevron up icon
Scaling and Upgrading Applications Chevron down icon Chevron up icon
Observability and Monitoring on Kubernetes Chevron down icon Chevron up icon
Securing Applications and Clusters Chevron down icon Chevron up icon
Logging with Kubernetes Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

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