Book Image

Azure Serverless Computing Cookbook

By : Praveen Kumar Sreeram
Book Image

Azure Serverless Computing Cookbook

By: Praveen Kumar Sreeram

Overview of this book

Microsoft provides a solution to easily run small segment of code in the Cloud with Azure Functions. Azure Functions provides solutions for processing data, integrating systems, and building simple APIs and microservices. The book starts with intermediate-level recipes on serverless computing along with some use cases on benefits and key features of Azure Functions. Then, we’ll deep dive into the core aspects of Azure Functions such as the services it provides, how you can develop and write Azure functions, and how to monitor and troubleshoot them. Moving on, you’ll get practical recipes on integrating DevOps with Azure functions, and providing continuous integration and continous deployment with Visual Studio Team Services. It also provides hands-on steps and tutorials based on real-world serverless use cases, to guide you through configuring and setting up your serverless environments with ease. Finally, you’ll see how to manage Azure functions, providing enterprise-level security and compliance to your serverless code architecture. By the end of this book, you will have all the skills required to work with serverless code architecture, providing continuous delivery to your users.
Table of Contents (11 chapters)

Testing an Azure Function on a staged environment using deployment slots

In general, every application would need preproduction environments such as staging, beta, and so on for reviewing the functionalities before publishing them for the end users.

Though the preproduction environments are great and help multiple stakeholders validate the application functionality against the business requirements, there are some pain points in managing and maintaining them. The following are a few of them:

  • We would need to create a separate environment for setting them up
  • Once everything is reviewed in preproduction and IT Ops team gets a go-ahead, there would be a bit of downtime in the production environment while deploying the code base of the new functionalities

All the preceding limitations can be covered in Azure Functions using a feature called slots (these are called deployment slots...