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Beginning Serverless Architectures with Microsoft Azure
Beginning Serverless Architectures with Microsoft Azure

Beginning Serverless Architectures with Microsoft Azure: Design scalable applications and microservices that effortlessly adapt to the requirements of your customers

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Profile Icon Daniel Bass
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Paperback Jul 2018 100 pages 1st Edition
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Arrow left icon
Profile Icon Daniel Bass
Arrow right icon
$16.99
Paperback Jul 2018 100 pages 1st Edition
eBook
$8.99 $13.99
Paperback
$16.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$8.99 $13.99
Paperback
$16.99
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Renews at $19.99p/m

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Beginning Serverless Architectures with Microsoft Azure

Deploying Azure Serverless

Most of what was covered in the previous chapter could apply to any serverless product; even runtimes that seem unique are fairly similar. You can easily find analogues for most of the previous chapter in AWS or Google Cloud. In this chapter, you will learn about Azure-specific features. You'll integrate your function with other Azure services to create a serverless RESTful API. Azure Application Insights will also be integrated into your solution, providing your support team with unparalleled data about what your application is doing. Finally, your serverless functions will be secured using API keys, to prevent unauthorized use.

By the end of this chapter, you will be able to:

  • Integrate an Azure Function with Cosmos DB
  • Combine a complete logging and monitoring solution with Azure Application Insights
  • Secure your Azure Functions using API keys
  • ...

Integrating with Other Azure Services

As a developer, you are constantly asked if your service can talk to a new product. There is an emphasis on moving from the walled garden architecture of old to open, modular, easy-to-integrate services. Even software companies are struggling to catch up with this new demand, with many products still shipping as closed systems, without basic API layers.

So far, Cosmos DB has been mentioned several times in this book, but what is it? It's Microsoft's flagship cloud database. It's a fully elastic, dynamically resourced database which is schema agnostic. It has multiple APIs available. It has a native SQL API, which supports JSON documents, a MongoDB API, a Cassanda API, a Graph API and a Key-Value pair API. It can be tuned to maximum performance/parallelism and lower consistency, or back to the more traditional Atomicity, Consistency...

Logging with Application Insights

One of the most important operational requirements for software is that your company understand what the application is doing and can triage responses to errors. This is generally achieved via some form of logging, and there is a service in Azure for this, called Application Insights. It's a very sophisticated application health monitoring tool that combines out-of-the-box monitoring, like processor loads, RAM usage, and errors, with specific logging that the developer has to implement. While Azure Functions don't really have concerns with processor loads or RAM usage, it useful to know the average length of calls, how many instances are being spun up, and hourly spend.

In the next example, you will add Azure Application Insights integration to your previous two functions, to enable effective support.

...

Security with API Keys

The standard way of securing APIs on the Internet is through the use of keys and secrets, and a serverless API is no different. You should secure every function you create with at least function-level authorization, unless there is a compelling argument for it being public. You should definitely secure your data-input APIs and any output APIs with sensitive information on them. Public-facing APIs are an interesting case for serverless, because you are charged per request. This means that a malicious actor could DDoS your public function and hit you where it hurts the wallet. Friendly users with valid keys could inadvertently do this as well if they don't rate-limit their requests. A good solution to this, and a generally good solution for API's in general, is to use an API proxy. Microsoft has one called the Azure API Gateway, or there are other...

Summary

In this chapter, you learned how to deploy a serverless API backed by an infinitely scalable database and fronted by an infinitely scalable web application. You covered more of the nuts and bolts of connecting serverless code to other services, along with logging and security considerations. Having the serverless code implement the API may feel like an over-complication at the moment (why not call the Cosmos DB directly from the controller of the MVC client application?), but the benefits of it being loosely coupled to the web application while the functions are also loosely coupled to each other will become apparent later.

Now that you've covered the basics of creating a simple architecture, we can add some more interesting features and components in the next chapter.

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Key benefits

  • Provides information on integration of Azure products
  • Plan and implement your own serverless backend to meet tried-and-true development standards
  • Includes step-by-step instructions to help you navigate advanced concepts and application integrations

Description

Many businesses are rapidly adopting a microservices-first approach to development, driven by the availability of new commercial services like Azure Functions and AWS Lambda. In this book, we’ll show you how to quickly get up and running with your own serverless development on Microsoft Azure. We start by working through a single function, and work towards integration with other Azure services like App Insights and Cosmos DB to handle common user requirements like analytics and highly performant distributed storage. We finish up by providing you with the context you need to get started on a larger project of your own choosing, leaving you equipped with everything you need to migrate to a cloud-first serverless solution.

Who is this book for?

This book is ideal for back-end developers or engineers who want a quick hands-on introduction to developing serverless applications within the Microsoft ecosystem.

What you will learn

  • Identify the key advantages and disadvantages of serverless development
  • Build a fully-functioning serverless application and utilize a wide variety of Azure services
  • Create, deploy, and manage your own Azure Functions in the cloud
  • Implement core design principles for writing effective serverless code
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 25, 2018
Length: 100 pages
Edition : 1st
Language : English
ISBN-13 : 9781789537048
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Product Details

Publication date : Jul 25, 2018
Length: 100 pages
Edition : 1st
Language : English
ISBN-13 : 9781789537048
Vendor :
Microsoft
Concepts :
Tools :

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Table of Contents

4 Chapters
Introduction to Azure Functions Chevron down icon Chevron up icon
Deploying Azure Serverless Chevron down icon Chevron up icon
Architecting Serverless Solutions Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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