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

Disaster Recovery


In information technology, Disaster Recovery (DR) is a set of policies and procedures aimed at protecting a system from a natural or human-induced disaster. The term Disaster can refer to any major event that may disrupt operations of an entire data center. Disaster Recovery aims to continue (or quickly resume) the system operation in case of a negative event.

Hence, Disaster Recovery planning can be addressed in the following two ways or a combination of the two:

  • Resilience: This involves planning for uninterrupted service of the critical business functions, for instance through redundancy
  • Recovery: This involves planning to recover and restore the business functions that fail

When planning for Disaster Recovery, the following two objectives must be defined first, typically by the business owner of the system:

  • Recovery Point Objective (RPO): This is the maximum period of time in which the system's data might be lost due to a major incident
  • Recovery Time Objective (RTO): This...