Book Image

The Kubernetes Bible

By : Nassim Kebbani, Piotr Tylenda, Russ McKendrick
4 (3)
Book Image

The Kubernetes Bible

4 (3)
By: Nassim Kebbani, Piotr Tylenda, Russ McKendrick

Overview of this book

With its broad adoption across various industries, Kubernetes is helping engineers with the orchestration and automation of container deployments on a large scale, making it the leading container orchestration system and the most popular choice for running containerized applications. This Kubernetes book starts with an introduction to Kubernetes and containerization, covering the setup of your local development environment and the roles of the most important Kubernetes components. Along with covering the core concepts necessary to make the most of your infrastructure, this book will also help you get acquainted with the fundamentals of Kubernetes. As you advance, you'll learn how to manage Kubernetes clusters on cloud platforms, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), and develop and deploy real-world applications in Kubernetes using practical examples. Additionally, you'll get to grips with managing microservices along with best practices. By the end of this book, you'll be equipped with battle-tested knowledge of advanced Kubernetes topics, such as scheduling of Pods and managing incoming traffic to the cluster, and be ready to work with Kubernetes on cloud platforms.
Table of Contents (28 chapters)
1
Section 1: Introducing Kubernetes
5
Section 2: Diving into Kubernetes Core Concepts
12
Section 3: Using Managed Pods with Controllers
17
Section 4: Deploying Kubernetes on the Cloud
21
Section 5: Advanced Kubernetes

Deploying a workload and interacting with your cluster

If you recall from the last chapter, we used the Guestbook example from the GCP GKE examples' GitHub repository.

First, we are going to deploy the workload before we then explore the web-based AWS console. Let's make a start on our Guestbook deployment.

Deploying the workload

Even though we are our cluster is running on AWS using Amazon EKS, we are going to be using the same set of YAML Ain't Markup Language (YAML) files we used to launch our workload in GKE. Follow these next steps:

  1. As before, our first step is launching the Redis Leader deployment and service using the following commands:
    $ kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/kubernetes-engine-samples/master/guestbook/redis-leader-deployment.yaml
    $ kubectl apply -f https://raw.githubusercontent.com/GoogleCloudPlatform/kubernetes-engine-samples/master/guestbook/redis-leader-service.yaml
  2. Once the Redis Leader...