start

This guide shows you how to start a stopped Datafye Foundry deployment on your local machine.

Prerequisites

Before you begin, ensure:

  • You have previously provisioned a local Foundry deployment (see Provision a Local Foundry)

  • The deployment is currently stopped

  • Docker Desktop is running on your machine

Start Command

Use the following command to start your local Foundry deployment:

datafye foundry local start

Local deployments don't require a --name parameter since only one deployment is allowed per machine.

Start Process

When you start the deployment, the CLI will:

  1. Verify Docker - Ensure Docker daemon is running

  2. Start containers - Bring up all stopped Datafye service containers

  3. Wait for services - Monitor service startup

  4. Run health checks - Verify all services are healthy

  5. Display status - Show deployment is running

Starting a deployment is much faster than provisioning (typically under 1 minute) since the infrastructure and containers already exist.

After Starting

Once the start process completes, you'll see a success message and your deployment will be accessible:

  • Data Cloud REST API: http://localhost:8080/datafye-api/v1/

  • Data Cloud WebSocket: ws://localhost:8080/datafye-ws

  • MCP Server (Full Stack only): http://localhost:3000

Validate Connectivity

Test your deployment with:

Troubleshooting

Docker Not Running

If you see an error about Docker not being available:

  1. Start Docker Desktop

  2. Wait for Docker to fully start

  3. Retry the start command

No Deployment Found

If you see an error that no local deployment exists:

  1. Verify you've previously provisioned a deployment

  2. If not, provision one first: datafye foundry local provision

Container Start Failures

If containers fail to start:

  1. Check Docker logs: docker ps -a and docker logs <container-id>

  2. Verify sufficient Docker resources (RAM, disk space)

  3. If issues persist, deprovision and re-provision the deployment


Last updated: 2025-10-22

Last updated