1. Home
  2. Training Library
  3. Microsoft Azure
  4. Courses
  5. Introduction to Azure Functions



Course Intro
Serverless in Context
In Context
Getting the Most From Azure Functions
Use Cases
2m 27s
3m 33s
Start course
Duration1h 34m


*** A newer, updated version of this course is available here. ***


An Introduction to Azure Functions

Serverless Computing has emerged as a capable and low-friction means to execute custom logic in the public cloud. Whether you're using Amazon Lambda, Google Cloud Functions, or Azure Functions, you have a wide variety of target languages, ecosystem integrations, and deployment mechanisms to choose from. All this while leaving the heavy lifting of server provisioning and maintenance to the experts, which gives you plenty of time to focus on your differentiated application functionality.

In this "Introduction to Azure Functions" course, you’ll learn how to build Azure Function applications in the cloud. You'll discover the core feature set of Functions and see how to integrate with a variety of sibling Azure services. You'll explore Function topics like security, monitoring, deployment, and testing best practices. You'll also learn about ideal Functions use cases and the pricing model. Finally, you'll learn about how we've arrived at the serverless computing model, and where serverless is likely to go in the future. By the end of this course, you’ll have a solid foundation to continue exploring Functions on your own, and incorporating Azure Functions capability into your work.

An Introduction to Azure Functions: What You'll Learn

Lecture What you'll learn
Intro What to expect from this course
Serverless Computing In Context Understanding what serverless computing is, and how we got here
Core Features A high-level overview of what Azure Functions is, and its basic capabilities
Creating Your First Function A demo of creating your first function in the Azure portal
Security A review of security features in Azure Functions
Using API Key Management A demo of configuring an Azure Function to require API key use
HTTP Proxies A discussion of lightweight HTTP Proxy support
Proxying Azure Blob Storage A demo of using Functions' HTTP Proxy support to front Azure blob storage
Triggers and Bindings Event-based triggering of functions and declarative binding of inputs and outputs
Triggering on Queues and Binding to DocumentDB A demo of Triggering with Azure Queues and Binding Function Output to DocumentDB
Testing and Debugging Tools and techniques for working with Functions during the development cycle
Deployment Options for deploying Azure Function apps into production
Deploying From a Local Git Repo A demo of deploying a complete Azure Function app to the cloud, from a local Git repository
Monitoring Tools for monitoring Azure Functions during dev, test, and release
Use Cases A discussion of ideal use cases for serverless compute and Azure Functions
Pricing A review of how Functions are priced, and a demo of determining price using the Azure Pricing Calculator
Serverless in the Future A short discussion on the future of serverless in the cloud
Summary Course wrap up

If you have thoughts or suggestions for this course, please contact Cloud Academy at support@cloudacademy.com.


As we've noted a few times already, function apps are based on the Azure App service so they can take full advantage of the existing deployment tools in Azure for web apps and API apps. This includes configuring auto deployment from a variety of source control repositories, like GitHub or a local git repo. You can even integrate with SaaS storage providers like Dropbox or OneDrive.

If you prefer you can use the built in Kudu admin console to FTP code and configuration files to your function app container. Kudu also provides the same browser based file management and Powershell console support for function apps that it provides for web apps too.

For more fine grain control of function app deployment and integration with virtually any continuous integration and delivery pipeline you can author in an Azure resource manager or ARM template that declaratively defines your function app details and then apply that template to your Azure subscription to create or modify the associated resources. You can also achieve similar fine grain control over creation or modification of function apps using PowerShell and Azure PowerShell commandlets. Or the Azure command line interface, or CLI tools in a manual or automated fashion.

Let's take a look at how to wire up a function app to deploy from a local git repository.

About the Author

Josh Lane is a Microsoft Azure MVP and Azure Trainer and Researcher at Cloud Academy. He’s spent almost twenty years architecting and building enterprise software for companies around the world, in industries as diverse as financial services, insurance, energy, education, and telecom. He loves the challenges that come with designing, building, and running software at scale. Away from the keyboard you'll find him crashing his mountain bike, drumming quasi-rythmically, spending time outdoors with his wife and daughters, or drinking good beer with good friends.