Serverless in Context
Getting the Most From Azure Functions
The course is part of these learning paths
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 firstname.lastname@example.org.
It's worth noting that the success of serverless computing has given rise to a wave of additional cloud services that provide valuable functionality, but also abstract away at least some, if not most infrastructure details from the consumer.
Just as developers benefit from the ease with which they can deploy business logic as functions, without worrying about provisioning and managing servers, so too can they benefit from other compute abstractions. Like, for example, the Azure container service. Which hides many challenges associated with provisioning Docker, Kubernetes, or DCOS clusters in the cloud. Similarly, manage database services, like Azure DocumentDB, SQL database, SQL data warehouse, and Redis Cache let you create fast, geoscale data stores with a few button clicks. Even analytics and messaging capabilities, like Azure Machine Learning, Data Lake, and Event Hubs can be thought of as serverless versions of their traditional high touch on premises counterparts. And given the productivity boost and potential savings of a resource sliced cost model, it's reasonable to expect even more such services to be created in the future.
Serverless computing is here to stay. So lose those high maintenance pets, rustle up some infrastructure cattle, and enjoy the increased productivity of the modern cloud lifestyle. Your customers will thank you.
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.