Book Image

Hands-on Kubernetes on Azure, Third Edition - Third Edition

By : Nills Franssens, Shivakumar Gopalakrishnan, Gunther Lenz
Book Image

Hands-on Kubernetes on Azure, Third Edition - Third Edition

By: Nills Franssens, Shivakumar Gopalakrishnan, Gunther Lenz

Overview of this book

Containers and Kubernetes containers facilitate cloud deployments and application development by enabling efficient versioning with improved security and portability. With updated chapters on role-based access control, pod identity, storing secrets, and network security in AKS, this third edition begins by introducing you to containers, Kubernetes, and Azure Kubernetes Service (AKS), and guides you through deploying an AKS cluster in different ways. You will then delve into the specifics of Kubernetes by deploying a sample guestbook application on AKS and installing complex Kubernetes apps using Helm. With the help of real-world examples, you'll also get to grips with scaling your applications and clusters. As you advance, you'll learn how to overcome common challenges in AKS and secure your applications with HTTPS. You will also learn how to secure your clusters and applications in a dedicated section on security. In the final section, you’ll learn about advanced integrations, which give you the ability to create Azure databases and run serverless functions on AKS as well as the ability to integrate AKS with a continuous integration and continuous delivery (CI/CD) pipeline using GitHub Actions. By the end of this Kubernetes book, you will be proficient in deploying containerized workloads on Microsoft Azure with minimal management overhead.
Table of Contents (22 chapters)
1
Foreword
Free Chapter
2
Section 1: The Basics
5
Section 2: Deploying on AKS
11
Section 3: Securing your AKS cluster and workloads
16
Section 4: Integrating with Azure managed services
21
Index

Scaling your cluster

In the previous section, you dealt with scaling the application running on top of a cluster. In this section, you'll learn how you can scale the actual cluster you are running. First, you will manually scale your cluster to one node. Then, you'll configure the cluster autoscaler. The cluster autoscaler will monitor your cluster and scale out when there are pods that cannot be scheduled on the cluster.

Manually scaling your cluster

You can manually scale your AKS cluster by setting a static number of nodes for the cluster. The scaling of your cluster can be done either via the Azure portal or the command line.

In this section, you'll learn how you can manually scale your cluster by scaling it down to one node. This will cause Azure to remove one of the nodes from your cluster. First, the workload on the node that is about to be removed will be rescheduled onto the other node. Once the workload is safely rescheduled, the node will be removed...