Book Image

Serverless computing in Azure with .NET

By : Rosenbaum
Book Image

Serverless computing in Azure with .NET

By: Rosenbaum

Overview of this book

Serverless architecture allows you to build and run applications and services without having to manage the infrastructure. Many companies have started adopting serverless architecture for their applications to save cost and improve scalability. This book will be your companion in designing Serverless architecture for your applications using the .NET runtime, with Microsoft Azure as the cloud service provider. You will begin by understanding the concepts of Serverless architecture, its advantages and disadvantages. You will then set up the Azure environment and build a basic application using a sample text sentiment evaluation function. From here, you will be shown how to run services in a Serverless environment. We will cover the integration with other Azure and 3rd party services such as Azure Service Bus, as well as configuring dependencies on NuGet libraries, among other topics. After this, you will learn about debugging and testing your Azure functions, and then automating deployment from source control. Securing your application and monitoring its health will follow from there, and then in the final part of the book, you will learn how to Design for High Availability, Disaster Recovery and Scale, as well as how to take advantage of the cloud pay-as-you-go model to design cost-effective services. We will finish off with explaining how azure functions scale up against AWS Lambda, Azure Web Jobs, and Azure Batch compare to other types of compute-on-demand services. Whether you’ve been working with Azure for a while, or you’re just getting started, by the end of the book you will have all the information you need to set up and deploy applications to the Azure Serverless Computing environment.
Table of Contents (16 chapters)

Performance testing


As discussed earlier, performance testing is, typically, a black-box testing aimed at estimating the system's performance under a particular workload.

In the previous chapter, we discussed multiple ways to trigger the functions, both locally, and in the cloud. These methods can be used to trigger the function's execution with particular inputs with the aim of measuring the function's performance.

The function's performance under load can be measured with a tool such as Application Insights, which will be discussed in Chapter 11, Monitoring Your Application's Health.

Load testing

Load testing HTTP-triggered functions can be set up by creating Web tests using either the Visual Studio IDE or VSTS online workspace.

Such testing can be set up using a URL-based test that calls the function URL from specified geo-locations with appropriate parameters, and measure the function's performance. The load testing setup with VSTS will be covered in detail in the next chapter after setting...