page:recipes:ai workflow runner:spring boot:persistent state

Host ai workflow runner with Spring Boot: Postgres-backed state

Summary

Deploy a AI workflow runner built with Spring Boot on Ample using the durable job state 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. Verified on Spring Boot: a jobs table with a state and attempts counter, processing inside a row-locked transaction, and a second run that is a no-op (job=done attempts=1 idempotent=true). Not separately tested: your job types, payload schema and retry policy; treat the ai workflow runner-specific behavior as your application code.

Representative Queries

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.

Prerequisites

Workflow Steps

  1. 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.
  2. Implement the pattern on PostgreSQL

    • The fixture's module implements durable job state: a jobs table with a state and attempts counter, processing inside a row-locked transaction, and a second run that is a no-op (job=done attempts=1 idempotent=true). Copy the approach into your schema; keep migrations idempotent and run them with --release-command.
  3. Deploy

    • ample deploy . --name --public
    • 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.
  4. Verify

    • ample logs --kind build
    • Fetch the live URL and the pattern self-test route(s) (/p/durable-job-state) from the example; then run your own checks. On failure read ample logs --kind build then --kind runtime.

Success Checks

Limitations

Cost Estimate

Components

Next Actions

  1. Browse the catalog index
  2. Search published recipes by intent, stack, and constraints
  3. Prepare a side-effect-free deployment plan for an authorized project
  4. Read the existing agent authentication setup
  5. Browse AI workflow runner
  6. Browse Spring Boot
  7. Browse Durable job state
  8. Browse Deploy AI app