Vercel

Vercel ties deployments to your Git workflow, and every push to a connected repository triggers a fresh build without any manual step or release ceremony. Every branch or pull request gets its own preview URL, so a reviewer opens the actual site instead of a screenshot. You promote a preview to production when it's ready. Rollbacks are a click. That turns a bad deploy into a short interruption rather than a long outage. Deploys stop being an event and become a habit.

AI Gateway routes model calls from many providers through one endpoint. You keep one key, watch requests and spend in a dashboard, and set budgets so a runaway loop doesn't wreck your bill. It supports provider failover too, so if one model is down or rate limited a request can fall back to another provider before the user ever notices a failure. This is the feature that pulls Vercel into AI stacks that used to live somewhere else entirely, and it's the main reason the platform shows up in conversations about model routing.

Functions run code close to the user without you provisioning servers. Edge functions execute at the network edge for low latency on things like auth checks and redirects. Serverless functions handle heavier work instead. AI SDK routes commonly run here to stream tokens to the browser. You pay per invocation and duration. Idle time costs nothing, which suits spiky traffic.

Vercel serves your app from a global network with automatic HTTPS, compression and caching. Static assets sit close to visitors. Incremental static regeneration refreshes cached pages in the background. For a site with steady traffic, this means fast loads in most regions without tuning a CDN yourself. You get the delivery layer for free.

Vercel maintains Next.js, so the framework's newest features land there first. Support also covers React, SvelteKit, Nuxt, Astro, Remix and others, often with no config. If you're on Next.js, the integration is the tightest, which is a big reason teams pick Vercel in the first place.

The dashboard collects build logs, runtime logs, analytics and speed insights in one place, so you rarely need to open a separate monitoring product to see what happened. Web Vitals and real user metrics show how the site performs for actual visitors, not just in a lab. When something breaks, you trace it from the deploy down to the request. No stitching tools together. One screen covers the whole path.