## Host recruiting tracker with Quarkus: CSV imports

Deploy a recruiting tracker built with Quarkus 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 Quarkus: 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 recruiting tracker-specific behavior as your application code.

### Representative Queries
- Host recruiting tracker with Quarkus: CSV imports
- Where can I host Recruiting tracker built with Quarkus?
- 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**: 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.
- **S3-compatible object storage**: Buckets are S3-compatible with issued credentials; PutObject and GetObject are verified by canary. Other S3 operations are not verified.

### Prerequisites
1. A Quarkus project that builds and starts with the documented commands (./mvnw -q -DskipTests package producing one uber-jar (quarkus.package.jar.type=uber-jar), then java -jar on the jvm-21 template (Temurin JDK 21) with quarkus.http.port read from PORT)
2. A PostgreSQL driver reading DATABASE_URL at runtime (auto-provisioned when omitted, or supplied with --env)
3. A bucket from `ample bucket create` with its credentials passed as encrypted S3_* environment variables
4. An Ample account token with servers:write, databases:read, buckets:read

### Workflow Steps
1. **Build and start**: `./mvnw -q -DskipTests package producing one uber-jar (quarkus.package.jar.type=uber-jar), then java -jar on the jvm-21 template (Temurin JDK 21) with quarkus.http.port read from PORT. The server must bind 0.0.0.0 on PORT.`
2. **Implement the pattern on PostgreSQL**: Copy the approach into your schema; keep migrations idempotent and run them with --release-command.
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**: `ample deploy . --name  --public --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`.

### Limitations
- Verified on the jvm-21 template at s-1vcpu-2gb with the example fixture; other sizes, templates and Quarkus major versions are not verified.
- The recruiting tracker itself (your import format, mapping and conflict rules) is application code and was not separately tested; the pattern checks are what was verified.