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)

Creating an external load balancer

The load balancer service type is a relatively simple service alternative to ingress that uses a cloud-based external load balancer. The external load balancer service type's support is limited to specific cloud providers but is supported by the most popular cloud providers, including AWS, GCP, Azure, Alibaba Cloud, and OpenStack.

In this section, we will expose our workload ports using a load balancer. We will learn how to create an external GCE/AWS load balancer for clusters on public clouds, as well as for your private cluster using inlet-operator.

Getting ready

Make sure you have a Kubernetes cluster ready and kubectl and helm configured to manage the cluster resources. In this recipe, we are using a cluster that's been deployed on AWS using kops, as described in Chapter 1, Building Production-Ready Kubernetes Clusters, in the Amazon Web Services recipe. The same instructions will work on all major cloud providers.

To access the example...