Host inventory manager with Django: CSV imports

Deploy a inventory manager built with Django 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 Django: 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 inventory manager-specific behavior as your application code.

Representative Queries

• Host inventory manager with Django: CSV imports
• Where can I host Inventory manager built with Django?
• 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

Compute

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

Postgres

• Status: verified
• Summary: Managed PostgreSQL 16 runs in its own microVM and is auto-provisioned when an app needs a database and no DATABASE_URL is supplied.

S3-compatible object storage

• Status: verified
• Summary: Buckets are S3-compatible with issued credentials; PutObject and GetObject are verified by canary. Other S3 operations are not verified.

Framework

Django

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 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 (imported=2 rejected=1 restart=ok).
3. Wire object storage
   Create the bucket(s), then pass endpoint, region, bucket and keys as --env values. Use path-style addressing. Keep private data in an unpublished bucket.
4. 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" --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) (/p/bulk-import-staging) from the example; then run your own checks. On failure read ample logs --kind build then --kind runtime.

   ample logs  --kind build  
   

Success Checks

• app responds on its public URL
  • kind: http_get
  • path: /
  • expect: ample canary django patterns
• bulk-import-staging self-test
  • kind: http_get
  • path: /p/bulk-import-staging
  • expect: imported=2 rejected=1 restart=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 inventory manager itself (your import format, mapping and conflict rules) is application code and was not separately tested; the pattern checks are what was verified.

Cost Estimate

Monthly Amount: $10.00

• Components:
  • App server: s-1vcpu-1gb
  • Managed PostgreSQL database: s-1vcpu-1gb

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