How to: Anyscale Services
And after our ML workloads have been executed, we're ready to launch our serve our model to production. Similar to our Anyscale Jobs configs, be sure to change the `$GITHUB_USERNAME` in [`serve_model.yaml`](./deploy/services/serve_model.yaml).

```yaml
ray_serve_config:
  import_path: deploy.services.serve_model:entrypoint
  runtime_env:
    working_dir: .
    upload_path: s3://madewithml/$GITHUB_USERNAME/services  # <--- CHANGE USERNAME (case-sensitive)
    env_vars:
      GITHUB_USERNAME: $GITHUB_USERNAME  # <--- CHANGE USERNAME (case-sensitive)
```

Now we're ready to launch our service:
```bash