Book Image

Serverless computing in Azure with .NET

Book Image

Serverless computing in Azure with .NET

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 (23 chapters)
Title Page
Credits
Foreword
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Monitoring tools


Typical monitoring tools include the following three key capabilities:

  • The ability to retain and search logs
  • The ability to visualize metrics through charts
  • The ability to set up alerts

Let us briefly discuss each capability.

Collecting logs

Just as debugging started with print statements, monitoring systems started with log collection. Most monitoring systems allow you to collect, aggregate, and search logs from different parts of your system. Logs may also be the source of part or most of your application's telemetry data.

Creating charts

Charts are key to measuring your application performance and spotting anomalies quickly. The visual representation of data allows you to identify performance baselines, get a sense of how abnormal any particular spike is, and zoom in on a problematic time range.

Most monitoring tools today allow you to create custom charts and dashboards based on your application's telemetry, so that you can get the most valuable insight in the most readable form...