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Advanced Serverless Architectures with Microsoft Azure [Instructor Edition]

You're reading from Advanced Serverless Architectures with Microsoft Azure [Instructor Edition] Design complex serverless systems quickly with the scalability and benefits of Azure

Product type Hardcover

Published in Feb 2019

Last Updated in Feb 2023

Publisher Packt

ISBN-13 9781788479127

Length 278 pages

Edition 1st Edition

Languages

C#

Tools

Azure

Concepts

Design

Author (1):

Daniel Bass

View More author details

Table of Contents (8) Chapters

Preface

1. Complete Serverless Architectures FREE CHAPTER

2. Microservices and Serverless Scaling Patterns

3. Azure Durable Functions

4. Security

5. Observability

6. Chaos Engineering

Appendix

Summary

This approach, with a simple website supported by serverless functions and a serverless database, will scale incredibly well and is very fast to develop. One particularly important thing to note is the total separation of frontend and backend development—this will free both disciplines of development to progress rapidly. Generally, frontend developers would use a SPA framework such as Angular, React, or Vue to produce an interactive web application, but it's equally possible to use vanilla JS or jQuery to call the serverless backend. In the next chapter, we will be covering asynchronous processing and caching as a way to increase the scalability of serverless architecture.

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Advanced Serverless Architectures with Microsoft Azure [Instructor Edition]

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Advanced Serverless Architectures with Microsoft Azure

Published in: Feb 2019

Publisher: Packt

ISBN-13: 9781788479127

© 2019 Packt Publishing Limited All Rights Reserved

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Authors (1)

Daniel Bass

Daniel Bass

Daniel Bass is the author of ‘Beginning Serverless Architectures with Microsoft Azure’ and a developer with a major financial services firm that is moving to Azure. He is a key member of the team that is creating the first major greenfield projects purely on Azure in the company, utilizing a combination of serverless functions, web apps and data lake analytics. He has designed solutions from scratch for ingesting complex information from legacy data sources using serverless functions, processing it using data lake analytics and reforming it using serverless functions. He is actively developing serverless solutions in a team that designs it’s own releases, so he is completely familiar with both the release tooling and development tooling. Daniel also has several years experience as a tutor of GCSE and A-Level students, producing quality education support for students across a broad spectrum of age and ability. He enjoys teaching and sharing knowledge with others. His own educational background includes a 1 st Class Honours in Physics MSci from University College London.

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