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

9. Connecting to Azure Event Hubs

Event-based integration is a key pattern for implementing microservices. The idea of a microservices architecture is to decompose a monolithic application into a smaller set of services. Events are commonly used to coordinate between these different services. When you think about an event, it can be one of many things. Financial transactions can be an event, as well as IoT sensor data, web page clicks and views, and much more.

A piece of software that is commonly used to handle these types of events is Apache Kafka (Kafka for short). Kafka was originally developed by LinkedIn, and later donated to the Apache Software Foundation. It is a popular open-source streaming platform. A streaming platform is a platform that has three core capabilities: publishing and subscribing a stream of messages (similar to a queue), storing these streams in a durable fashion, and processing these streams as they occur.

Azure has a similar offer to Apache Kafka...