page:recipes:reporting dashboard:spring boot:data imports
Host reporting dashboard with Spring Boot: structured data imports
Deploy a reporting dashboard built with Spring Boot 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 Spring Boot: 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 reporting dashboard-specific behavior as your application code.
Workflow Steps
Build and start
./mvnw -q -DskipTests package (or the Gradle wrapper) producing one application jar, then java -jar on the jvm-21 template (Temurin JDK 21) with server.port read from PORT. The server must bind 0.0.0.0 on PORT.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). Copy the approach into your schema; keep migrations idempotent and run them with --release-command.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 Keep private data in an unpublished bucket.Deploy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.
Command:ample deploy . --name --public --env S3_ENDPOINT=... --env S3_REGION=... --env S3_BUCKET=... --env S3_ACCESS_KEY_ID=... --env S3_SECRET_ACCESS_KEY=...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 readample logs --kind buildthen--kind runtime.
Command:ample logs --kind build
Considerations
Resource Requirements:
- Compute
- PostgreSQL
- S3-compatible object storage
Limitations:
- Verified on the jvm-21 template at s-1vcpu-2gb with the example fixture; other sizes, templates and Spring Boot major versions are not verified.
- Apps auto-pause when idle and wake on the next request; always-on is an operator setting, not a plan feature.
Cost Estimate
- Currency: USD
- Monthly Amount: 10.0
- Components:
- App server: size s-1vcpu-1gb, quantity 1.0, monthly amount 5.0
- Managed PostgreSQL database: size s-1vcpu-1gb, quantity 1.0, monthly amount 5.0
Next Actions
- Browse the catalog index:
GET /v1/catalog - Search published recipes by intent, stack and constraints:
POST /v1/catalog/search - Prepare a side-effect-free deployment plan for an authorized project:
POST /v1/catalog/plan - Browse Reporting dashboard:
GET /v1/catalog/nodes/workload%3Areporting-dashboard - Browse Spring Boot:
GET /v1/catalog/nodes/stack%3Aframework-spring-boot
Examples
- Spring Boot pattern fixture
- Description: Multi-pattern Spring Boot app whose bulk import staging module was checked live; the module is under tests/deploy-canaries/_pattern-modules.
- Source Reference:
tests/deploy-canaries/spring-boot-patterns
Evidence Summary
- Canary Run: Spring Boot pattern fixture deployed on Ample. Checks passed for bulk-import-staging and configuration-secrets.