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Developing Multi-Platform Apps with Visual Studio Code

You're reading from   Developing Multi-Platform Apps with Visual Studio Code Get up and running with VS Code by building multi-platform, cloud-native, and microservices-based apps

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Product type Paperback
Published in Sep 2020
Publisher Packt
ISBN-13 9781838822934
Length 334 pages
Edition 1st Edition
Languages
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Authors (2):
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Khusro Habib Khusro Habib
Author Profile Icon Khusro Habib
Khusro Habib
Ovais Mehboob Ahmed Khan Ovais Mehboob Ahmed Khan
Author Profile Icon Ovais Mehboob Ahmed Khan
Ovais Mehboob Ahmed Khan
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Toc

Table of Contents (15) Chapters Close

Preface 1. Section 1: Introduction to Visual Studio Code
2. Chapter 1: Getting Started with Visual Studio Code FREE CHAPTER 3. Chapter 2: Extensions in Visual Studio Code 4. Section 2: Developing Microservices-Based Applications in Visual Studio Code
5. Chapter 3: Building a Multi-Platform Backend Using Visual Studio Code 6. Chapter 4: Building a Service in .NET Core and Exploring Dapr 7. Chapter 5: Building a Web-Based Frontend Application with Angular 8. Chapter 6: Debugging Techniques 9. Chapter 7: Deploying Applications on Azure 10. Chapter 8: Git and Azure DevOps 11. Section 3: Advanced Topics on Visual Studio Code
12. Chapter 9: Creating Custom Extensions in Visual Studio Code 13. Chapter 10: Remote Development in Visual Studio Code 14. Other Books You May Enjoy

Azure Event Hubs with Kafka

Azure Event Hubs is a managed ingestion service that is simple to use for provision and integration with applications. It is very powerful and can quickly handle millions of messages per a second. It also supports the Kafka protocol, which is why client applications that currently rely on Kafka for message broker scenarios can easily shift to Azure Event Hubs without changing their application code.

What is Kafka?

Kafka is an open source software that works on a pub/sub model for storing and reading messages. Kafka persists messages/events published by publishers in a storage method known as topics, and consumers can read/consume those messages by registering to those topics.

Kafka can handle a high velocity and volume of data and serves the user like a high-speed filesystem for commit-log storage. Based on its characteristics, it helps to build large-scale applications that primarily rely on message broker techniques for service-to-service communications...

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