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)

Application Insights


Application Insights is a cross-platform APM service that can monitor applications based on a wide variety of platforms and technology stacks. Application Insights can pull telemetry from your backend code (such as C#, Java, and Node.js code), frontend scripts (such as JavaScript and Angular code), and hosting environments (such as Azure Web Apps, Docker, Azure Functions, and Virtual Machine OS performance counters).

Application Insights monitors a wide variety of metrics. In addition to the built-in metrics, you can add your own custom events and metrics. Application Insights reporting comes with minimal overhead. Tracking calls are non-blocking and are batched and sent in a separate thread.

To enable reporting to Application Insights, you typically need to install a small instrumentation package into your application, and you can instrument both your backend and frontend code to report to the Application Insights.

Azure Functions come with a built-in integration to Application...