page:recipes:approval workflow:quarkus:private attachments

Host approval workflow with Quarkus: private attachments

Summary

Deploy a approval workflow built with Quarkus on Ample using the private document library 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 role-to-document access model with negative tests (401 without identity, 403 for the wrong role) and a private-bucket round-trip for the allowed role (private=ok). Not separately tested: your identity integration and role assignments; treat the approval workflow-specific behavior as your application code.

Resources and Requirements

Resource Requirements

Infrastructure Requirements

  1. 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.
  2. 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.
  3. 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.

Prerequisites

Workflow Steps

  1. Build and start
    • Command: ./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
    • Body: The fixture's module implements private document library: a role-to-document access model with negative tests (401 without identity, 403 for the wrong role) and a private-bucket round-trip for the allowed role (private=ok). Copy the approach into your schema; keep migrations idempotent and run them with --release-command.
  3. Wire object storage
    • Body: 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 Keep private data in an unpublished bucket.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
    • Command: ample deploy . --name <name> --public --env S3_ENDPOINT=... --env S3_REGION=... --env S3_BUCKET=... --env S3_ACCESS_KEY_ID=... --env S3_SECRET_ACCESS_KEY=...
  5. Verify
    • Command: ample logs --kind build

Success Checks

  1. App responds on its public URL
    • Kind: http_get
    • Path: /
    • Expect: ample canary quarkus patterns
  2. Private-document-library self-test
    • Kind: http_get
    • Path: /p/private-document-library
    • Expect: private=ok (with ?role=owner; 401 without, 403 for viewer)

Limitations

Cost Estimate

Evidence Summary

Next Actions