Resilis vs Vercel for Apps with a Backend

List required request duration, concurrency, memory, database connections, files, background work, and integrations. Long-running servers and request-based Functions have different lifecycles. A container build does not prove they are interchangeable.

Keep frontend and backend decisions separate where useful. You may prefer Vercel for the frontend while evaluating another place for an API and database. Check cross-origin requests, session cookies, callbacks, latency, and network costs across that boundary. A split architecture still requires a complete operating and billing model.

Illustrative USD estimates before tax, for 30 days / 720 hours. Resilis app and PostgreSQL each average 0.25 billable vCPU and 0.5 GB RAM, with 10 GB database disk. Assumptions are not measurements or minimum sizes. Resilis uses binary GB; provider unit conventions can differ. Excludes app disk, egress, objects, build overage, HA, and outside infrastructure.

Vercel’s $20.00 Pro fee is not a permanent 512 MB application container. The $42.58 combined estimate holds only if app usage fits within its included credit and no other charges apply. Neon’s 0.25 CU represents about 1 GB RAM, unlike the initial Resilis database assumption. This example uses a separate direct Neon bill, continuous compute, and no scale-to-zero benefit. Database history, snapshots, extra transfer, and other optional charges are excluded.

Hobby: $10/month runtime credit, 200 build minutes. Pro: $50/month runtime credit, 500 build minutes. Pay the plan minimum plus eligible usage beyond credit; do not count usage twice. CPU: $0.004104/vCPU-hour; RAM: $0.00972/GB-hour; disk: $0.01/GB-day; database fee: $5/month Hobby or $10/month Pro. Build overage: $0.02/minute, separate from credit. Egress/object storage consume runtime credit. Raising database RAM to 1 GiB gives $19.98 Hobby or $24.98 Pro usage; Pro still bills $50.00.

Resilis billing source and current allowances — checked October 17, 2026.

For Neon, 720 × 0.25 × $0.106 is $19.08 compute and 10 × $0.35 is $3.50 storage, totaling $22.58. Add Vercel Pro’s $20.00 floor once. Do not subtract the same usage credit from the separate database bill. Idle or bursty traffic and database suspension can change this estimate substantially.

On Resilis, size the running app from representative CPU and RAM measurements. On Vercel, inspect the relevant usage meters and the requests that drive them. Neither the price table nor a shared language name establishes equal capacity, latency, concurrency, or operational support. Use current usage reports and include the database connection strategy.

List any Edge runtime use, incremental regeneration, cache invalidation, image processing, preview environments, routing, and environment separation your app relies on. Mark each item as retained, replaced with a tested implementation, or unresolved. Do not treat a generic Node.js deployment guide as proof of Next.js server compatibility.

The recorded Resilis Node.js, Dockerfile, and PostgreSQL guides show their stated example applications. They do not establish a tested Next.js migration, and this page supplies no unverified framework deployment commands. If framework behavior is central to your application, resolve that evidence gap before deciding to move it. Keeping the frontend on Vercel can be the better boundary.

Rehearse with a disposable target and representative data. This checklist is not a completed app test. Assign a cutover owner and acceptance criteria.

1. Inventory.

   Inventory Functions, domains, environment scopes, frontend-specific features, external data services, and any background work. Identify a backend that can be evaluated independently; leave framework-specific migration unresolved until its behavior has real test evidence.

2. Build and configure.

   Use a representative supported Node.js or Docker example to assess the server model. Do not infer Next.js feature compatibility from a build or from technology logos. Set secrets through sensitive configuration and bind DATABASE_URL. Never commit connection strings, log credentials, or paste them into agent conversations.

3. Rehearse data transfer.

   Check PostgreSQL versions, extensions, roles, encoding, and clients. Use pg_dump --format=custom --no-owner and pg_restore --no-owner --no-acl --exit-on-error into a new, empty test database. Resolve grants/ownership separately. Use protected PostgreSQL service and password files. Apply chmod 600 to the password file. Never use command-line passwords. Encrypt dumps and restrict access. Remove dumps under your retention policy after verification.

4. Verify behavior.

   Compare row counts and key records. Test authentication, writes, uploads, jobs, callbacks, and connectivity. Rebuild and confirm persistence; inspect sanitized logs.

5. Freeze writes and cut over.

   Pause all writers on Vercel, including workers, jobs, and integrations. Repeat the final dump/restore and verify data before enabling destination writes. Prepare the managed-app domain and TLS. Lower the DNS TTL ahead of time where appropriate. Change DNS after serving checks. Keep one authoritative writer despite cached DNS.

6. Bound rollback.

   Retain the source and a verified backup until acceptance. DNS can route back, but after destination writes begin, reconcile those writes before switching databases. App rollback does not restore data or reverse schema migrations. Agree on the data-loss boundary and recovery procedure before cutover; retire old resources only after approval.

Resilis offers managed compute or connected VPS/Kubernetes, with managed PostgreSQL/MySQL. External S3, R2, and B2 connections register existing buckets. They do not provision or migrate buckets. MCP setup needs no paid plan; authentication and operation entitlements apply. Connected infrastructure retains its bill and duties. Custom domains are unavailable on connected compute and S3-backed static sites.

Verify entitlements, backups, restore points, and a restore rehearsal. Lower estimates do not establish equivalent availability, support, recovery time, or capacity.

Stay when your frontend workflow and platform features are central to the product, or when the request-based model fits your traffic. Compare the cost of reimplementing integrations and operating the result with the expected resource bill. A backend fit assessment should end with tested requirements, not a blanket recommendation to move every application.

• Review the recorded Docker example
• Inspect PostgreSQL binding and persistence

Use your resource measurements, required features, and recovery needs to decide. Request a workload estimate, review pricing, or try the recorded Node.js and PostgreSQL example.

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