Book Image

Kubernetes - A Complete DevOps Cookbook

By : Murat Karslioglu
Book Image

Kubernetes - A Complete DevOps Cookbook

By: Murat Karslioglu

Overview of this book

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.
Table of Contents (12 chapters)

Scaling applications on Kubernetes

In this section, we will perform application and cluster scaling tasks. You will learn how to manually and also automatically scale your service capacity up or down in Kubernetes to support dynamic traffic.

Getting ready

Clone the k8sdevopscookbook/src repository to your workstation to use the manifest files in the chapter7 directory, as follows:

$ git clone https://github.com/k8sdevopscookbook/src.git
$ cd /src/chapter7/

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

How to do it…

This section is further divided into the following subsections to make this process easier:

  • Validating the installation of Metrics Server
  • Manually scaling an application
  • Autoscaling applications using Horizontal Pod Autoscaler

Validating the installation of Metrics Server

The Autoscaling applications using the Horizontal Pod Autoscaler recipe in this section also requires Metrics Server to be installed...