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Next.js + Vercel + Postgres SaaS stack

A pragmatic SaaS architecture for a small team: Next.js App Router on Vercel, Postgres (Neon/Supabase), S3 for files, Stripe billing, Resend for transactional email, and Upstash Redis for caching and rate limits.

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Architecture previewNext.js + Vercel + Postgres SaaS stack
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Prompt
Create an architecture diagram for a Next.js SaaS on Vercel. The user browser hits Next.js on Vercel, which reads from a Neon Postgres, an Upstash Redis cache, and an S3-compatible store. Vercel calls Stripe for billing, and Stripe sends webhooks back. Vercel sends transactional email through Resend. Errors and source maps go to Sentry.

Context

  • - Single Next.js codebase (App Router) serves UI and API.
  • - Postgres as primary DB, Redis as cache and rate limiter.
  • - Third parties handle email and payments.

Patterns

  • - Single deployment unit (Next.js) keeps team small.
  • - Edge cache + Postgres = good defaults for most pages.
  • - Webhooks (Stripe) come back into Vercel API routes.
Diagram structure

Nodes and connections

User browseractor
Next.js on Vercelservice
Postgres (Neon)db
S3-compatible storagestorage
Upstash Rediscache
Stripeexternal
Resend (email)external
Sentryexternal
Connections
User browserNext.js on Vercel
Next.js on VercelPostgres (Neon)
Next.js on VercelUpstash Redis
Next.js on VercelS3-compatible storage
Next.js on VercelStripeAPI
StripeNext.js on Vercelwebhook
Next.js on VercelResend (email)
Next.js on VercelSentry

Notes from the field

Frequently asked

Is Vercel a single point of failure?

In practice, yes for this stack. For higher availability, add a fallback deployment on Fly.io or Cloud Run and a DNS-level failover.

Why Upstash Redis?

It is HTTP-based which plays nicely with Vercel functions (no persistent connections needed). For long-lived workers, regular Redis is fine.

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