Host partner portal with Django: tenant-scoped workspaces

Deploy a partner portal 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 partner portal-specific behavior as your application code.

Representative Queries

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

Resource Requirements

• primitive:compute
• primitive:postgres

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.

Framework

Django

Workload

Partner portal

Release Status

published

Support Status

verified

Execution Status

ready

Prerequisites

1. 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).
2. A PostgreSQL driver reading DATABASE_URL at runtime (auto-provisioned when omitted, or supplied with --env).
3. 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

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.

   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.

   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.
  Source: tests/deploy-canaries/django-patterns

Success Checks

1. app responds on its public URL
   • Kind: http_get
   • Path: /
   • Expect: ample canary django patterns
2. multi-tenant-relational-data self-test
   • Kind: http_get
   • Path: /p/multi-tenant-relational-data
   • Expect: tenant_isolation=ok

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.
• The partner portal itself (your tenant model, membership and per-tenant authorization) is application code and was not separately tested; the pattern checks are what was verified.
• Region, compliance attestations and request-duration limits are unknown and not claimed.
• Apps auto-pause when idle and wake on the next request; always-on is an operator setting, not a plan feature.
• Managed PostgreSQL 16 only; extensions, connection limits and backup or restore procedures are not verified; apps and their databases are placed together.

Cost Estimate

• Currency: USD
• Monthly Amount: 10.0
  • Cost breakdown:
    • app server: s-1vcpu-1gb (quantity: 1.0, monthlyAmount: 5.0)
    • managed PostgreSQL database: s-1vcpu-1gb (quantity: 1.0, monthlyAmount: 5.0)

Note: Always-on monthly price of the tested sizes; apps and databases auto-pause when idle. Buckets are allocation-priced per quota and not included.