page:recipes:ai workflow runner:fastify:worker state

Host AI Workflow Runner with Fastify: Worker Execution and Job State

Summary

Deploy an AI workflow runner built with Fastify as a public web service plus a dedicated worker process on Ample. ample plan --write discovers both services and their shared database and writes ample.toml; ample up reconciles the topology: a managed PostgreSQL 16 database, a public web microVM, and a private worker microVM (kind worker, no public URL), both reading DATABASE_URL. Verified on Fastify: a separately deployed worker service (kind worker, no public URL) sharing a declared managed PostgreSQL database with the web service, consuming a jobs table with row locks and marking jobs done once (worker=done attempts=1). Not separately tested: your job payloads, retry policy and scheduling; treat the AI workflow runner-specific behavior as your application code.

Representative Queries

Resource Requirements

Prerequisites

Workflow Steps

1. Plan the topology

Run the planner once. It discovers the web and worker services, infers kind = "worker" for the process without a port, declares the database each service needs, and writes ample.toml. Exit 2 means it left questions in the manifest; answer them with --answer or by editing the file.

Command: ample plan --write .

2. Share one database

Keep a single [databases.main] with engine = "postgres", drop any per-service database the planner added, and set DATABASE_URL = { database = "main" } under both [services.web.env] and [services.worker.env].

Command: ample plan --offline .

3. Apply

Reconcile the whole manifest in dependency order: the database first, then both services. It is idempotent and never destructive; exit 0 means everything applied, 2 needs input, 1 a failed resource (independent siblings still proceed and re-running resumes).

Command: ample up .

4. Verify

Fetch the web service URL and its worker status route (/p/worker-queue/status in the example) and confirm the worker processed the enqueued job; on failure read the worker service's runtime logs.

Command: ample logs --kind runtime

Examples

Fastify Web + Worker Fixture

Success Checks

Limitations

Cost Estimate

Evidence Summary

Last Verified At

2026-09-20T03:56:46Z

Formats

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 AI workflow runner

Browse Fastify

Browse Dedicated worker process

Browse Deploy AI app