Vercel Services: Run full stack on Vercel
Vercel just collapsed the full stack. Frontend, backend, agents, databases—one platform, one deploy.
Why it matters
Vercel Services consolidates multi-framework backends into a single project with unified deployment, internal networking, and agent sandboxing. For founders and CTOs, this is a material shift in how to architect and operate AI agents and microservices without infrastructure sprawl.
The key facts
10 to knowVercel Services enables multiple frameworks (FastAPI, Flask, Express, Hono, Go, Rust) in one project with auto-detection
Service-to-service communication stays internal on Vercel network—no CORS, no public internet egress
Vercel Sandbox isolates agent execution with filesystem, shell, Docker support, and automatic persistence
Vercel Functions support persistent WebSockets across Node.js, Python, Go runtimes
Vercel Connect replaces long-lived secrets with short-lived OIDC-scoped credentials
Database provisioning from Marketplace (Neon, Supabase, AWS Aurora, DynamoDB) with auto-injected credentials
Vercel Queues, Workflows, and Cron for background jobs and durable multi-step processes
Python backends deploy with up to 500MB dependencies; Functions run up to 30 minutes on Pro/Enterprise
Fluid compute with Active CPU pricing—pay only for execution time, not idle connections
Atomic deployments: frontend, backend, and services deploy/rollback together
Go to the source
Vercel Blogvercel.com
Publisher excerpt: To a user, an app with a Next.js frontend and a FastAPI backend feels like one product, and the same should be true for the engineers who build it. Instead, the two pieces are often deployed across different clouds with different development and deployment workflows. Today we're introducing , which…