page:recipes:recruiting tracker:quarkus:report exports

Host recruiting tracker with Quarkus: downloadable reports

Deploy a recruiting tracker built with Quarkus on Ample using the generated downloads 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: an export query rendered to a CSV artifact stored with metadata in a private bucket and returned only to an authorized caller (401 without token, export=ok rows=3). Not separately tested: your export formats, retention policy and entitlement model; treat the recruiting tracker-specific behavior as your application code.

Representative Queries

Resource Requirements

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.

  3. S3-compatible object storage
    Buckets are S3-compatible with issued credentials; PutObject and GetObject are verified by canary. Other S3 operations are not verified.

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
    The fixture's module implements generated downloads: an export query rendered to a CSV artifact stored with metadata in a private bucket and returned only to an authorized caller (401 without token, export=ok rows=3). 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 Keep private data in an unpublished bucket.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
    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 --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/generated-downloads) from the example; then run your own checks. On failure read ample logs --kind build then --kind runtime. ample logs --kind build

Limitations

Cost Estimate

Evidence Summary

  1. Canary Run
    Quarkus pattern fixture deployed on Ample; checks passed for generated-downloads and configuration-secrets. Observed At: 2026-09-21T00:35:31Z
    Implementation Revision: c6c81daa9272c95c5ce381005ba7347a341e578f-dirty (CLI 0.1.21)

  2. Next Actions

    • Browse the catalog index
    • Search published recipes by intent, stack and constraints
    • Prepare a side-effect-free deployment plan for an authorized project
    • Read the existing agent authentication setup
    • Browse Recruiting tracker
    • Browse Quarkus
    • Browse Generated downloads
    • Browse Deploy web app

Examples