Book Image

Hands-On Kubernetes on Azure - Second Edition

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

Hands-On Kubernetes on Azure - Second Edition

By: Nills Franssens, Shivakumar Gopalakrishnan, Gunther Lenz

Overview of this book

From managing versioning efficiently to improving security and portability, technologies such as Kubernetes and Docker have greatly helped cloud deployments and application development. Starting with an introduction to Docker, Kubernetes, and Azure Kubernetes Service (AKS), this book will guide you through deploying an AKS cluster in different ways. You’ll then explore the Azure portal 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 application and cluster. As you advance, you'll understand how to overcome common challenges in AKS and secure your application with HTTPS and Azure AD (Active Directory). Finally, you’ll explore serverless functions such as HTTP triggered Azure functions and queue triggered functions. By the end of this Kubernetes book, you’ll be well-versed with the fundamentals of Azure Kubernetes Service and be able to deploy containerized workloads on Microsoft Azure with minimal management overhead.
Table of Contents (16 chapters)
1
Section 1: The Basics
4
Section 2: Deploying on AKS
10
Section 3: Leveraging advanced Azure PaaS services
15
Index

Summary

This was a chapter with tons of information. Our goal was to show you how to scale deployments with Kubernetes. We did this by showing you how to create multiple instances of your application.

We started the chapter by looking at how to define the use of a load balancer and leverage the deployment scale feature in Kubernetes to achieve scalability. With this type of scalability, we also achieve failover by using a load balancer and multiple instances of the software for stateless applications. We also looked into using the HPA to automatically scale our deployment based on load.

After that, we also looked into how we can scale the cluster itself. First, we manually scaled our cluster, and afterward we used a cluster autoscaler to scale our cluster based on application demand.

We finished the chapter by looking into different ways to upgrade a deployed application. First, we explored manually updating YAML files. Then, we delved into two additional kubectl commands...