### Host Admin Dashboard with Flask: Public Profile Assets

Deploy an admin dashboard built with Flask on Ample using the public image delivery 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, and a published bucket serves public assets from the CDN host. Verified on Flask: public objects in a published bucket served from the CDN URL, kept separate from private objects in an unpublished bucket that require authorization (private=ok only for the allowed role). Not separately tested: your image processing and profile-media rules; treat the admin dashboard-specific behavior as your application code.

#### Representative Queries
- Host admin dashboard with Flask: public profile assets
- Where can I host Admin dashboard built with Flask?
- I need separate public profile media from private data, with CDN cache rules.

#### Prerequisites
- A Flask project that builds and starts with the documented commands (pip install into .ample/python from requirements.txt, then waitress from app.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).
- A bucket from `ample bucket create` with its credentials passed as encrypted S3_* environment variables and a second, published bucket for public assets (CDN_*).
- An Ample account token with servers:write, databases:read, buckets:read.

#### Technical Details
- **Framework:** Flask
- **Workload:** Admin dashboard
- **Release Status:** Published
- **Support Status:** Verified
- **Execution Status:** Ready

#### Limitations
- Verified on the python-3.12 template at s-1vcpu-1gb with the example fixture; other sizes, templates, and Flask major versions are not verified.
- The admin dashboard itself was not separately tested.

#### Cost Estimate
- **Monthly Amount:** $10.00
- **Components:**
  - app server (s-1vcpu-1gb): $5.00
  - managed PostgreSQL database (s-1vcpu-1gb): $5.00

#### Workflow Steps
1. **Build and Start**: pip install into .ample/python from requirements.txt, then waitress from app.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 public image delivery.
3. **Wire Object Storage**: Create the bucket(s), passing endpoint, region, bucket, and keys as --env values.
4. **Deploy**: Run the synchronous deploy once and read the result.
5. **Verify**: Fetch the live URL and run checks.

#### Success Checks
- App responds on its public URL.
- Public-media-library self-test successful.
- Private-document-library self-test verifies proper authorization.

#### Evidence Summary
- **Canary Run Summary**: Flask pattern fixture deployed; checks passed for public and private access.

#### Next Actions
1. **Browse the catalog index**.
2. **Search published recipes by intent, stack, and constraints**.
3. **Prepare a side-effect-free deployment plan**.
4. **Read the existing agent authentication setup**.