page:recipes:project tracker:next js:csv imports

Host project tracker with Next.js: CSV imports

Deploy a project tracker built with Next.js on Ample using the bulk import staging pattern. Compute runs the app in an isolated microVM behind a public HTTPS URL, a managed PostgreSQL 16 database is auto-provisioned and injected as DATABASE_URL, a private S3-compatible bucket holds objects with credentials delivered as encrypted environment variables. Verified on Next.js: a CSV staged as an object, row-level validation with per-row errors recorded, and a restart-safe import keyed by import id (imported=2 rejected=1 restart=ok). Not separately tested: your import format, mapping and conflict rules; treat the project tracker-specific behavior as your application code.

Representative Queries

• Host project tracker with Next.js: CSV imports
• Where can I host Project tracker built with Next.js?
• I need a domain CSV format, row validation, deduplication and an import recovery path.

Resource Requirements

• primitive:compute
• primitive:postgres
• primitive:s3-compatible-object-storage

Infrastructure Requirements

1. Compute: Apps run in isolated x86_64 Firecracker microVMs that auto-pause when idle and wake on request; sizes are the priced VM sizes.
2. Postgres: Managed PostgreSQL 16 runs in its own microVM and is auto-provisioned when an app needs a database and no DATABASE_URL is supplied.
3. S3-compatible object storage: Buckets are S3-compatible with issued credentials; PutObject and GetObject are verified by canary. Other S3 operations are not verified.

Prerequisites

1. A Next.js project that builds and starts with the documented commands (next build then next start -H 0.0.0.0 -p $PORT on the node-22 template)
2. A PostgreSQL driver reading DATABASE_URL at runtime (auto-provisioned when omitted, or supplied with --env)
3. A bucket from ample bucket create with its credentials passed as encrypted S3_* environment variables
4. An Ample account token with servers:write, databases:read, buckets:read

Workflow Steps

1. Build and start: next build then next start -H 0.0.0.0 -p $PORT
2. Implement the pattern on PostgreSQL: The fixture's module implements bulk import staging: a CSV staged as an object, row-level validation with per-row errors recorded, and a restart-safe import keyed by import id.
3. Wire object storage: Create the bucket(s), then pass endpoint, region, bucket and keys as --env values. Use path-style addressing.
4. Deploy: ample deploy . --name --public --env S3_ENDPOINT=... --env S3_REGION=... --env S3_BUCKET=... --env S3_ACCESS_KEY_ID=... --env S3_SECRET_ACCESS_KEY=...
5. Verify: Fetch the live URL and the pattern self-test route(s) from the example; then run your own checks. On failure read ample logs --kind build then --kind runtime.

Success Checks

• App responds on its public URL.
• Bulk-import-staging self-test.

Limitations

1. Verified on the node-22 template at s-1vcpu-1gb with the example fixture.
2. The project tracker itself (your import format, mapping and conflict rules) is application code and was not separately tested.
3. Managed PostgreSQL 16 only; extensions, connection limits and backup or restore procedures are not verified.

Cost Estimate

• Monthly Amount: $10.00 USD.
• Components:
  • App server: s-1vcpu-1gb, Quantity: 1.0, Monthly Amount: $5.00
  • Managed PostgreSQL database: s-1vcpu-1gb, Quantity: 1.0, Monthly Amount: $5.00

Evidence Summary

• Next.js pattern fixture deployed on Ample; checks passed for bulk-import-staging and configuration-secrets.

Next Actions

• Browse the catalog index.
• Search published recipes by intent, stack and constraints.
• Prepare a side-effect-free deployment plan for an authorized project.