Continuous Integration and Continuous Delivery (Building Real-World Cloud Apps with Azure)

by Rick Anderson, Tom Dykstra

Download Fix It Project or Download E-book

The Building Real World Cloud Apps with Azure e-book is based on a presentation developed by Scott Guthrie. It explains 13 patterns and practices that can help you be successful developing web apps for the cloud. For information about the e-book, see the first chapter.

The first two recommended development process patterns were Automate Everything and Source Control, and the third process pattern combines them. Continuous integration (CI) means that whenever a developer checks in code to the source repository, a build is automatically triggered. Continuous delivery (CD) takes this one step further: after a build and automated unit tests are successful, you automatically deploy the application to an environment where you can do more in-depth testing.

The cloud enables you to minimize the cost of maintaining a test environment because you only pay for the environment resources as long as you're using them. Your CD process can set up the test environment when you need it, and you can take down the environment when you're done testing.

Continuous Integration and Continuous Delivery workflow

Generally we recommend that you do continuous delivery to your development and staging environments. Most teams, even at Microsoft, require a manual review and approval process for production deployment. For a production deployment you might want to make sure it happens when key people on the development team are available for support, or during low-traffic periods. But there's nothing to prevent you from completely automating your development and test environments so that all a developer has to do is check in a change and an environment is set up for acceptance testing.

The following diagram from a Microsoft Patterns and Practices e-book about continuous delivery illustrates a typical workflow. Click the image to see it full size in its original context.

Continuous delivery workflow

How the cloud enables cost-effective CI and CD

Automating these processes in Azure is easy. Because you're running everything in the cloud, you don't have to buy or manage servers for your builds or your test environments. And you don't have to wait for a server to be available to do your testing on. With every build that you do, you could spin up a test environment in Azure using your automation script, run acceptance tests or more in-depth tests against it, and then when you're done just tear it down. And if you only run that server for 2 hours or 8 hours or a day, the amount of money that you have to pay for it is minimal, because you're only paying for the time that a machine is actually running. For example, the environment required for the Fix it application basically costs about 1 cent per hour if you go one tier up from the free level. Over the course of a month, if you only ran the environment an hour at a time, your testing environment would probably cost less than a latte that you buy at Starbucks.

Azure DevOps Services

Azure DevOps Services provides a number of features to assist you with application development from planning to deployment.

  • It supports both Git (distributed) and TFVC (centralized) source control.
  • It offers an elastic build service, which means it dynamically creates build servers when they're needed and takes them down when they're done. You can automatically kick off a build when someone checks in source code changes, and you don't have to have allocate and pay for your own build servers that lie idle most of the time. The build service is free as long as you don't exceed a certain number of builds. If you expect to do a high volume of builds, you can pay a little extra for reserved build servers.
  • It supports continuous delivery to Azure.
  • It supports automated load testing. Load testing is critical to a cloud app but is often neglected until it's too late. Load testing simulates heavy use of an app by thousands of users, enabling you to find bottlenecks and improve throughput —before you release the app to production.
  • It supports team room collaboration, which facilitates real-time communication and collaboration for small agile teams.
  • It supports agile project management.

For more information on the continuous integration and delivery features of Azure DevOps Services, see the Azure DevOps documentation.

If you're looking for a turn-key project management, team collaboration, and source control solution, check out Azure DevOps Services. Sign up at Azure DevOps Services.


The first three cloud development patterns have been about how to implement a repeatable, reliable, predictable development process with low cycle time. In the next chapter we start to look at architectural and coding patterns.


For more information, see Deploy a web app in Azure App Service.

See also the following resources: