# Deploying to Rivet Compute > Source: `src/content/docs/deploy/rivet-compute.mdx` > Canonical URL: https://rivet.dev/docs/deploy/rivet-compute > Description: Run your backend on Rivet Compute. --- Rivet Compute is currently in beta. Using an AI coding agent? Open **Connect** on the [Rivet dashboard](https://dashboard.rivet.dev), select **Rivet Cloud**, and paste the one-shot prompt into your agent and have it connect with Rivet Compute for you. ## Steps ### Prerequisites - Your RivetKit app - If you don't have one, see the [Quickstart](/docs/actors/quickstart) page or our [Examples](https://github.com/rivet-dev/rivet/tree/main/examples) - A [Rivet Cloud](https://dashboard.rivet.dev) account and project - Docker running locally ### Create a Dockerfile Add a `Dockerfile` to your project root that builds and runs your RivetKit server: ```dockerfile @nocheck FROM node:24-alpine WORKDIR /app COPY package*.json ./ RUN npm ci --omit=dev COPY . . CMD ["node", "src/server.js"] ``` ### Get Your Cloud Token 1. Open the [Rivet dashboard](https://dashboard.rivet.dev) and navigate to your project 2. Click **Connect** and select **Rivet Cloud** 3. Copy the **`RIVET_CLOUD_TOKEN`** value shown ### Deploy Run the deploy command from your project root. The token is saved to `~/.rivet/credentials`, so later deploys can omit it. ```bash npx @rivetkit/cli deploy --token cloud_api_xxxxx ``` The CLI resolves your project from the token, builds and pushes your Docker image to Rivet's built-in registry, upserts the managed pool, and prints the deployment URL on stdout when the pool is ready. ### Optionally Add CI After local deploys work, install the GitHub Actions workflow that deploys on every push and pull request: ```bash npx @rivetkit/cli setup-ci ``` This writes `.github/workflows/rivet-deploy.yml`. Add your token as a repository secret to enable it: ```bash gh secret set RIVET_CLOUD_TOKEN ``` The workflow creates production and pull-request namespaces, posts preview links, and cleans up PR namespaces when pull requests close. See the [CLI reference](/docs/cli) for all commands. ### Monitor Deployment The dashboard shows live status as Rivet Compute provisions your backend: | Status | Description | | --- | --- | | Provisioning | Allocating compute resources | | Initializing | Starting the runtime environment | | Allocating | Assigning the runner to your pool | | Deploying | Pulling and launching your container | | Binding | Connecting the runner to the network | | Ready | Deployment complete | Once the status reaches **Ready**, your backend is live and actors are available for connections. If you are an agent monitoring the deployment via API rather than the dashboard, poll the managed-pool endpoint on the Cloud API. The `RIVET_CLOUD_TOKEN` secret is a `cloud_api_*` management token scoped to the Cloud API at `cloud-api.rivet.dev`. Use it for `Authorization: Bearer ...` against the Cloud API. Do not confuse it with a `pk_*` publishable key, which is scoped to the Rivet Engine API at `api.rivet.dev` and will 401 against this endpoint. Substitute `$CLOUD_API_URL` (typically `https://cloud-api.rivet.dev`), `$PROJECT`, `$ORG`, `$CLOUD_NAMESPACE`, and `$CLOUD_TOKEN`. Poll every 5 seconds until `status` is `ready`. Stop and investigate if `status` is `error`. ```bash curl -s "$CLOUD_API_URL/projects/$PROJECT/namespaces/$CLOUD_NAMESPACE/managed-pools/default?org=$ORG" -H "Authorization: Bearer $CLOUD_TOKEN" ``` ## Troubleshooting If the status stays in **Provisioning** for more than a few minutes, verify that: - The `RIVET_CLOUD_TOKEN` secret is correctly set in your GitHub repository - The GitHub Actions workflow completed without errors — check the run logs If the status shows **Error**, check that your container starts successfully and does not exit immediately. Common causes: - The server file is not calling `registry.startRunner()` - A runtime crash on startup — test the image locally with `docker run` - The Dockerfile is not listening on the `PORT` environmental variable _Source doc path: /docs/deploy/rivet-compute_