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Hands-On Kubernetes on Azure

You're reading from   Hands-On Kubernetes on Azure Automate management, scaling, and deployment of containerized applications

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Product type Paperback
Published in May 2020
Publisher Packt
ISBN-13 9781800209671
Length 368 pages
Edition 2nd Edition
Tools
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Authors (3):
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Nills Franssens Nills Franssens
Author Profile Icon Nills Franssens
Nills Franssens
Gunther Lenz Gunther Lenz
Author Profile Icon Gunther Lenz
Gunther Lenz
Shivakumar Gopalakrishnan Shivakumar Gopalakrishnan
Author Profile Icon Shivakumar Gopalakrishnan
Shivakumar Gopalakrishnan
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Toc

Table of Contents (16) Chapters Close

Preface Section 1: The Basics
1. Introduction to Docker and Kubernetes FREE CHAPTER 2. Kubernetes on Azure (AKS) Section 2: Deploying on AKS
3. Application deployment on AKS 4. Building scalable applications 5. Handling common failures in AKS 6. Securing your application with HTTPS and Azure AD 7. Monitoring the AKS cluster and the application Section 3: Leveraging advanced Azure PaaS services
8. Connecting an app to an Azure database 9. Connecting to Azure Event Hubs 10. Securing your AKS cluster 11. Serverless functions 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...

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