Learn AZURE-FUNCTIONS with Real Code Examples

Updated Nov 25, 2025

Explain

Azure Functions enables developers to run code in response to events or HTTP requests without managing servers.

It supports multiple languages including C#, JavaScript, TypeScript, Python, Java, and PowerShell.

Functions can be triggered by timers, HTTP requests, queues, and other Azure services.

Integrates with Azure Logic Apps, Event Grid, Cosmos DB, and other Azure services for end-to-end workflows.

Commonly used for APIs, background jobs, event processing, and real-time data processing.

Core Features

Serverless execution with per-request billing

Bindings to external services for input/output

Local development and debugging via Azure Functions Core Tools

Timer-based, queue-based, or HTTP triggers

Deployment slots for staging and production

Basic Concepts Overview

Function - unit of compute triggered by events

Trigger - event that causes the function to run

Binding - declarative input/output connections

Function App - container for one or more functions

Plan - hosting model (Consumption, Premium, Dedicated)

Project Structure

host.json - function app configuration

local.settings.json - local environment variables

<function_name>/ - function code folder

function.json - trigger and binding definitions

package.json / requirements.txt / .csproj - dependencies per language

Building Workflow

Initialize a Function App project

Create a new function with a specific trigger type

Write business logic and use bindings for input/output

Test functions locally with `func start`

Deploy to Azure and monitor using portal or CLI

Difficulty Use Cases

Beginner: HTTP-triggered API endpoint

Intermediate: queue-triggered background job

Advanced: event-driven integration with multiple Azure services

Expert: orchestrated workflows using Durable Functions

Architect: multi-function apps with CI/CD, scaling, and monitoring

Comparisons

Azure Functions vs AWS Lambda: multi-language support vs AWS ecosystem

Azure Functions vs Netlify Functions: enterprise-grade vs JAMstack-focused

Azure Functions vs OpenFaaS: cloud-managed vs self-hosted containers

Azure Functions vs Google Cloud Functions: deep Microsoft ecosystem vs GCP ecosystem

Azure Functions vs Serverless Framework: native vs multi-provider abstraction

Versioning Timeline

2016 – General availability of Azure Functions

2017–2018 – Added Python and PowerShell support

2019 – Durable Functions introduced for orchestration

2020–2021 – Premium and Dedicated plans, extended scaling

2022–2025 – Enhanced language runtimes, monitoring, and security features

Glossary

Function - unit of compute

Trigger - event causing function execution

Binding - declarative input/output connections

Function App - container for functions

Plan - hosting model (Consumption, Premium, Dedicated)