Tổng quan triển khai ứng dụng Mastra

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Published: 2026-05-09 · Source: crawler_authoritative

Tình huống

Nhà phát triển cần triển khai ứng dụng AI được xây dựng bằng framework Mastra đến môi trường production

Insight

Mastra hỗ trợ nhiều tùy chọn triển khai: standalone server (Hono), monorepo, nền tảng Mastra (Studio và Server), và các cloud providers. Runtime hỗ trợ: Node.js v22.13.0+, Bun, Deno, Cloudflare. Có deployers tích hợp sẵn cho Vercel, Netlify, Cloudflare. Workflows có thể chạy trên built-in execution engine hoặc nền tảng chuyên biệt như Inngest để có step memoization, automatic retries, và real-time monitoring.

Hành động

Sử dụng lệnh mastra build để build ứng dụng. Triển khai standalone server đến VM, container, hoặc PaaS. Đối với production workloads cần managed infrastructure, triển khai workflow runners đến Inngest hoặc các nền tảng tương tự.

Điều kiện áp dụng

Chỉ áp dụng cho ứng dụng được xây dựng bằng framework Mastra. Standalone server phù hợp khi cần full control, long-running processes, hoặc WebSocket connections.


Nội dung gốc (Original)

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 platform for Studio and server deployment.

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 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 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.

Mastra platform

The Mastra platform provides two products for deploying and managing AI applications built with the Mastra framework:

  • Studio: A hosted visual environment for testing agents, running workflows, and inspecting traces
  • Server: A production deployment target that runs your Mastra application as an API server

Learn more in the Studio deployment guide and Server deployment guide.

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.

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.

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 that provide step memoization, automatic retries, and real-time monitoring.

Visit the Workflow Runners guide for execution options and the Inngest deployment guide for setup instructions.

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