Sports clubs: asset library using Next.js

Summary

A asset library blueprint for sports clubs built with Next.js on Ample.

Domain Schema:

• course_groups (team_or_class, season, age_group): teams and classes;
• memberships (course_group_id, member_reference, guardian_reference, role): players, guardians and coaches;
• sessions (course_group_id, starts_at, venue, type): training and fixtures;
• materials (course_group_id, title, object_key, visibility): schedules and coaching resources;
• uploads (id, owner_reference, object_key, content_type, size, uploaded_at): validated uploads linked to their owner.

Public information: teams, seasons and fixtures, venues, membership fees. Kept out of scope until handling is reviewed: minor members and medical notes, safeguarding records. Medical and safeguarding records are sensitive; only schedules and coaching materials are modeled.

Technical basis verified on Next.js: content-type and size validation that rejects disallowed files, an object written to a private bucket and a row linking the record to the object key (reject=ok upload=ok linked=ok).

Representative Queries

• Sports clubs: asset library using Next.js
• Where can I host Sports clubs: Asset library built with Next.js?
• I need a genuinely specialized asset library workflow covering team membership, event participation and club media.

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.

Prerequisites

• A Next.js project (next build then next start -H 0.0.0.0 -p $PORT on the node-22 template)
• A PostgreSQL driver reading DATABASE_URL (auto-provisioned when omitted)
• Bucket credentials from ample bucket create passed as encrypted S3_* environment variables
• A review of which sports clubs data classes may be handled at all; this blueprint models public information only.

Workflow Steps

1. Model the sports clubs domain: Create the tables course_groups, memberships, sessions, materials, uploads. Teams and classes live in course_groups; keep the sensitive classes (minor members and medical notes, safeguarding records) out of this schema.
2. Workflow step 1: Model assets linked to their owning group or workspace.
3. Workflow step 2: Validate uploads and store them in the private bucket; link each object to its row.
4. Workflow step 3: Authorize downloads by membership.
5. Workflow step 4: Deploy and verify rejection of disallowed files and a linked upload.
6. Deploy: Run the synchronous deploy once and read the result. Re-running with no change is a no-op.
7. Verify: Run the pattern self-test(s) from the example (/p/browser-file-uploads) and your own acceptance checks for the sports clubs workflow.

Cost Estimate

• Currency: USD
• Monthly Amount: 10.0
• Basis: size prices from pricing.toml (loaded by the API) at build revision 1ac5595375130d45290090e82ed0f554ccd45405-dirty

Components:

• App server: size s-1vcpu-1gb, quantity 1.0, monthly amount 5.0
• Managed PostgreSQL database: size s-1vcpu-1gb, quantity 1.0, monthly amount 5.0

Note: Always-on monthly price of the tested sizes; apps and databases auto-pause when idle.