Azure Functions Concepts
Azure Functions is a serverless compute service that enables you to run code on demand without explicitly provisioning or managing infrastructure. With Azure Functions, you can build applications by writing code in your favorite language and leverage event-driven execution. This document outlines the core concepts behind Azure Functions.
What are Azure Functions?
Azure Functions is a fully managed compute platform that allows you to build and deploy event-driven applications. It's designed to tackle complex orchestration and integration challenges in microservices, on-demand, and schedule-driven scenarios. Key characteristics include:
- Event-driven: Functions are triggered by events from a variety of sources, such as HTTP requests, timers, messages in a queue, or changes in data.
- Serverless: You don't need to worry about managing servers, operating systems, or patches. Azure handles all the underlying infrastructure.
- Scalable: Functions automatically scale based on demand, ensuring your application can handle fluctuating workloads.
- Cost-effective: You pay only for the compute time you consume.
- Polyglot: Supports multiple programming languages like C#, Java, JavaScript, Python, and PowerShell.
Core Concepts
Triggers
A trigger defines how a function is invoked. When the event specified by the trigger occurs, the Azure Functions runtime executes your function. Triggers are declarative and can be configured through the function's function.json
file (for JavaScript, Python, and PowerShell) or through attributes (for C# and Java). Common trigger types include:
- HTTP Trigger: Invokes a function via an HTTP request.
- Timer Trigger: Executes a function on a schedule, defined by a CRON expression.
- Queue Trigger: Executes a function when a new message arrives in an Azure Storage Queue.
- Blob Trigger: Executes a function when a new or updated blob is detected in Azure Blob Storage.
- Cosmos DB Trigger: Executes a function in response to changes in a Cosmos DB collection.
Bindings
Bindings are a declarative way to connect your function code to other Azure services or external data sources without requiring you to write connection logic yourself. Bindings simplify code by abstracting away the complexities of interacting with services. There are two types of bindings:
- Input Bindings: Used to retrieve data from an external service to be used as input to your function.
- Output Bindings: Used to send data from your function to an external service.
For example, a function triggered by an HTTP request might have an input binding to read a document from Azure Blob Storage and an output binding to write a result to an Azure Queue.
Function App
A Function App is the hosting environment for your individual functions. It allows you to group related functions together, manage configurations, and deploy them as a single unit. Function Apps are deployed to a specific region and can be configured to use various hosting plans, including Consumption, Premium, and Dedicated (App Service) plans.
Hosting Plans
Azure Functions offers different hosting plans to meet varying needs for performance, scalability, and cost:
- Consumption Plan: The default serverless plan. You pay per execution and resource consumption. Functions scale automatically and you are billed for the time your code runs.
- Premium Plan: Offers pre-warmed instances for zero cold starts, VNet connectivity, and longer runtimes. This plan provides more predictable performance and capabilities.
- Dedicated (App Service) Plan: Runs your functions on the same infrastructure as your App Service web apps. This is ideal if you already have an App Service plan and want to add functions without additional compute costs.
Runtime
The Azure Functions runtime manages the execution of your functions. It handles event processing, trigger management, binding operations, and scaling. The runtime can be run locally for development and testing, or it can be hosted in the cloud as part of your Function App.
Getting Started
To start building with Azure Functions, you'll typically:
- Choose a development environment: Visual Studio, VS Code, or the Azure CLI.
- Create a new Function App project: Select your preferred language and trigger type.
- Write your function code: Implement the logic to respond to your chosen trigger.
- Configure bindings: Define inputs and outputs to interact with other services.
- Test locally: Use the Azure Functions Core Tools to run and debug your functions on your machine.
- Deploy to Azure: Publish your Function App to the cloud.
Explore the Azure Functions Tutorials for hands-on guidance.