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Cloud Native Python

You're reading from   Cloud Native Python Build and deploy resilent applications on the cloud using microservices, AWS, Azure and more

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787129313
Length 374 pages
Edition 1st Edition
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Author (1):
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 Sethi Sethi
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Sethi
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Table of Contents (14) Chapters Close

Preface 1. Introducing Cloud Native Architecture and Microservices FREE CHAPTER 2. Building Microservices in Python 3. Building a Web Application in Python 4. Interacting Data Services 5. Building WebViews with React 6. Creating UIs to Scale with Flux 7. Learning Event Sourcing and CQRS 8. Securing the Web Application 9. Continuous Delivery 10. Dockerizing Your Services 11. Deploying on the AWS Platform 12. Implementing on the Azure Platform 13. Monitoring the Cloud Application

Kafka as an eventstore

Although we have already seen the CQRS implementation, I still feel that you may have a few queries related to eventstore, and how it works. That's why I'll take the use case of Kafka, which can be used as an eventstore for your application.

Kafka is, typically, a message broker or message queue (similar to RabbitMQ, JMS, and others).

As per the Kafka documentation, Event Sourcing is a style of application design where the state changes are logged as a time-ordered sequence of records. Kafka's support for very large stored log data makes it an excellent backend for an application built in this style.

For more information related to implementing Kafka, read its documentation at this link: https://kafka.apache.org/documentation/.

Kafka has the following basic components:

  • Producers: This sends messages to Kafka
  • Consumers: These subscribe to...
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