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

In this chapter, we deployed serverless functions on top of our Kubernetes cluster. To achieve this, we first created a development machine and an Azure Container Registry.

We started our functions Deployments by deploying a function that used an HTTP trigger. The Azure Functions core tools were used to create that function and to deploy it to Kubernetes.

Afterward, we installed an additional component on our Kubernetes cluster called KEDA. KEDA allows serverless scaling in Kubernetes: it allows Deployments to and from 0 Pods, and it also provides additional metrics to the Horizontal Pod Autoscaler (HPA). We used a function that was triggered on messages in an Azure storage queue.

This chapter also concludes the book. Throughout this book, we've introduced AKS through multiple hands-on examples. The first part of the book focused on getting applications up and running. We created an AKS cluster, deployed multiple applications and learned how to scale those applications...