page:recipes:ai chat application:axum:worker state

Host AI Chat Application with Axum: Worker Execution and Job State

Summary

Deploy an AI chat application built with Axum 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 Axum: 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 chat application's specific behavior as your application code.

Representative Queries

Resource Requirements

Infrastructure Requirements

Execution Status

Ready

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.
    • 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;
    • 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.
    • Command: ample logs --kind runtime

Examples

Axum web + worker fixture

Success Checks

Limitations

Cost Estimate

Components

Documentation