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

Deploying a set of microservices

In this section, we will be deploying a set of microservices from a demo application called social network. The application is composed of two main microservices: users and friends. The users service stores all the users in its own data store. A user is represented by an ID, and their first and last names. The friends service stores the user's friends. A friend relationship links the user IDs of both friends, and also has its own ID.

The events of adding a user/adding a friend are sent to a message queue. This application uses Kafka as the message queue to store events related to users, friends, and recommendations.

This queue is consumed by a recommendation service. This service is backed by a Neo4j database that can then be used to query relationships between users. Neo4j is a popular graph database platform. A graph database is different from a typical relational database such as MySQL. A graph database is a database that is focused on...