# Deployment Overview

Mastra applications can be deployed to any Node.js-compatible environment. You can deploy a Mastra server, integrate with an existing web framework, deploy to cloud providers, or use Mastra Cloud for managed hosting.

## Runtime support

Mastra can run against any of these runtime environments:

- Node.js `v22.13.0` or later
- Bun
- Deno
- Cloudflare

## Deployment Options

### Mastra Server

Mastra provides a [server](https://mastra.ai/docs/server/mastra-server/llms.txt) powered by Hono that can be deployed independently. Use the `mastra build` command to build your application and deploy the output to your preferred VM, container, or PaaS platform.

Use this option when you need full control over your infrastructure, long-running processes, or WebSocket connections. The [Mastra server deployment guide](https://mastra.ai/docs/deployment/mastra-server/llms.txt) provides more details.

### Monorepo

Deploy a Mastra server as part of a monorepo setup, following the same approach as standalone deployment.

Read about [monorepo deployment](https://mastra.ai/docs/deployment/monorepo/llms.txt).

### Cloud Providers

Mastra applications can be deployed to cloud providers and serverless platforms. Mastra includes optional built-in deployers for Vercel, Netlify, and Cloudflare to automate the build and deployment process.

Use this option for auto-scaling, minimal infrastructure management, or when you're already using one of these platforms.

- [Amazon EC2](https://mastra.ai/guides/deployment/amazon-ec2/llms.txt)
- [AWS Lambda](https://mastra.ai/guides/deployment/aws-lambda/llms.txt)
- [Azure App Services](https://mastra.ai/guides/deployment/azure-app-services/llms.txt)
- [Cloudflare](https://mastra.ai/guides/deployment/cloudflare-deployer/llms.txt)
- [Digital Ocean](https://mastra.ai/guides/deployment/digital-ocean/llms.txt)
- [Netlify](https://mastra.ai/guides/deployment/netlify-deployer/llms.txt)
- [Vercel](https://mastra.ai/guides/deployment/vercel-deployer/llms.txt)

### Web Framework

When Mastra is integrated with a web framework, it deploys alongside your application using the framework's standard deployment process. The guides below cover framework-specific configuration requirements for deployment.

Use these guides when adding Mastra to an existing Next.js or Astro application.

- [With Next.js on Vercel](https://mastra.ai/docs/deployment/web-framework/llms.txt)
- [With Astro on Vercel](https://mastra.ai/docs/deployment/web-framework/llms.txt)
- [With Astro on Netlify](https://mastra.ai/docs/deployment/web-framework/llms.txt)

### Mastra Cloud

We're building Mastra Cloud to be the easiest place to deploy and observe your Mastra agents. It's currently in beta.

Learn more in the [Mastra Cloud docs](https://mastra.ai/docs/mastra-cloud/overview/llms.txt).

## Workflow Runners

Mastra workflows run using the built-in execution engine by default. For production workloads requiring managed infrastructure, workflows can also be deployed to specialized platforms like [Inngest](https://www.inngest.com) that provide step memoization, automatic retries, and real-time monitoring.

Visit the [Workflow Runners guide](https://mastra.ai/docs/deployment/workflow-runners/llms.txt) for execution options and the [Inngest deployment guide](https://mastra.ai/guides/deployment/inngest/llms.txt) for setup instructions.