Host community forum with Django: tenant-scoped workspaces

Deploy a community forum built with Django on Ample using the multi-tenant relational data 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. Verified on Django: a tenant column on every row and query, with a cross-tenant read returning nothing (tenant_isolation=ok). Not separately tested: your tenant model, membership and per-tenant authorization; treat the community forum-specific behavior as your application code.

Representative Queries

• Host community forum with Django: tenant-scoped workspaces
• Where can I host Community forum built with Django?
• I need an explicit tenant model and application-enforced tenant isolation tests.

Resource Requirements

• primitive:compute
• primitive:postgres

Infrastructure Requirements

• Compute: Apps run in isolated x86_64 Firecracker microVMs that auto-pause when idle and wake on request; sizes are the priced VM sizes.
• 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.

Framework

Django

Workload

Community forum

Release Status

Published

Support Status

Verified

Execution Status

Ready

Prerequisites

• A Django project that builds and starts with the documented commands (pip install into .ample/python from requirements.txt, then waitress serving project.wsgi from run.py reading PORT on the python-3.12 template)
• A PostgreSQL driver reading DATABASE_URL at runtime (auto-provisioned when omitted, or supplied with --env)
• An Ample account token with servers:write, databases:read

Tested Configuration

• Template: python-3.12
• Runtime: python
• Size: s-1vcpu-1gb
• Install: python3 -m pip install --target .ample/python -r requirements.txt
• Start: PYTHONPATH=.ample/python:${PYTHONPATH:-} python3 run.py

Input Schema

Workflow Steps

1. Build and start: pip install into .ample/python from requirements.txt, then waitress serving project.wsgi from run.py reading PORT on the python-3.12 template. The server must bind 0.0.0.0 on PORT.
2. Implement the pattern on PostgreSQL: The fixture's module implements multi-tenant relational data: a tenant column on every row and query, with a cross-tenant read returning nothing (tenant_isolation=ok). Copy the approach into your schema; keep migrations idempotent and run them with --release-command.
3. Deploy: Run the synchronous deploy once and read the result (exit 0 live, 1 failed, 2 blocked). Re-running with no change is a no-op.
   • Command: ample deploy . --name --public --start "python3 run.py"
4. Verify: Fetch the live URL and the pattern self-test route(s) (/p/multi-tenant-relational-data) from the example; then run your own checks. On failure read ample logs --kind build then --kind runtime.
   • Command: ample logs --kind build

Examples

• Django pattern fixture: Multi-pattern Django app whose multi-tenant relational data module was checked live; the module is under tests/deploy-canaries/_pattern-modules.

Success Checks

• App responds on its public URL
• Multi-tenant-relational-data self-test

Limitations

• Verified on the python-3.12 template at s-1vcpu-1gb with the example fixture; other sizes, templates and Django major versions are not verified.

Cost Estimate

• Currency: USD
• Monthly Amount: 10.0
• Basis: size prices from pricing.toml (loaded by the API)

Next Actions

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