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Serverless on Azure | Microsoft Azure

Azure

OVERVIEW

Reduce the time spent on non-core business tasks by freeing developers from infrastructure provisioning and management. Build and deploy apps faster using developer-friendly APIs, low-code/no-code services, and ready-to-use AI models.
Build highly responsive and resilient systems using serverless compute on Azure. React in real time, scale on demand, and innovate faster.
Use fast, elastic scaling to meet any traffic needs on demand. Serverless compute on Azure adjusts easily to your business growth, whether you're handling a sudden traffic surge or planning for long-term expansion.

Services

Choose from a range of serverless execution environments, fully managed services, and a comprehensive set of developer tools and services to build your applications.

Azure Functions

Execute code—written in the language of your choice—to build event-driven apps, stateful workflows, and AI agent orchestrations. Scale on demand and pay only for the time your code is executed. The open-source Functions runtime is available as a managed service on Azure and Azure Stack.

Azure Container Apps

Easily build and deploy containerized apps or microservices using serverless containers, without managing complex infrastructure. Write code in your preferred programming language or framework with support for Distributed Application Runtime (Dapr) and Kubernetes Event-driven Autoscaling (KEDA).

Azure Logic Apps

Connect all your services, systems, and data. Drive business process automation and orchestrate AI agents to enhance decision-making with real-time insights and enterprise-grade security with low code.

Solution architectures

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Architect scalable e-commerce web app

Design e-commerce web apps with simple order processing using Azure Functions and Web Apps. Focus on building personalized experiences while Azure services handle the infrastructure.

Learn more

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Architect event processing solutions

Build an event-driven solution that ingests a stream of data, processes the data, and writes the results to a back-end database. Design for resiliency, scalability, availability, and cost optimization while planning for disaster recovery.

Learn more

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Architect real-time location sharing

Create a solution that processes changes to underlying data within a web view, without the need for a page refresh, by using real-time services. Examples that use this scenario include real-time tracking of products and goods, and social media solutions.

Learn more

CUSTOMER STORIES

Customers are doing great things with Azure serverless

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“We designed the back end to handle traffic spikes by caching AI results and scaling compute dynamically. Using Azure Functions (Flex Consumption plan), we ensured back-end processes could handle thousands of simultaneous requests without breaking.”

Josh Wagoner, Developer, Pixel Lab

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“Because we didn’t have to manage infrastructure, we could focus entirely on assistant logic and system behavior, not deployment pipelines or scale policies.”

Pablo Damiani, Head of Practice at SOUTHWORKS

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“We optimized developer workflows with CI/CD pipelines using GitHub Actions and scaled applications with Azure Container Apps”

Anna Maria Brunnhofer-Pedemonte, CEO, Impact AI

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“This is just the beginning. With Azure, the possibilities are limitless.”

Sunil Ramakrishnappa, Sr. Director of Engineering, Global MarTech, Coca-Cola

“We’re proud to pioneer one of the most advanced AI implementations in the league. This experience welcomes fans who previously couldn’t fully engage—and it’s built on a foundation that turns our developer wish lists into reality.”

Jared Chavez, Technical and Model Development Lead, PS&E

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“There is no GenAI without responsible AI.”

Nayanjyoti Paul, Associate Director and Chief Azure Architect for Gen AI, Accenture

RESOURCES

Resources for serverless solutions

Guide

AWS Lambda migration guide

Learn how to migrate serverless applications from AWS Lambda to Azure Functions.

Read the guide

Blog

Remote MCP support in Azure Functions

Build AI agent tools using remote Model Context Protocol (MCP) with Azure Functions.

Read the blog

Blog

Serverless GPU

Run your AI workloads on demand with automatic scaling, optimized cold start, per-second billing, and reduced operational overhead.

Read the blog

Tutorial

Deploy DeepSeek-R1

Learn how to run AI inferencing with a DeepSeek-R1 generative AI model on serverless compute with Azure Container Apps.

Try the tutorial

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Documentation

Azure Functions triggers and bindings

Learn how to use Azure Functions triggers and bindings for build AI apps and agents with different events and data sources, including Azure OpenAI.

Read the documentation

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Blog

Build custom agents

Explore durable functions to build custom agents and durable task scheduler for managed storage backend support across stateful workflows using Azure Functions.

Read the blog