Cloud
Stream machine data to the cloud for remote monitoring and time-series logging.
Vintage Cloud is currently in private beta. Join the waitlist to get early access.
Overview
Vintage Cloud is a lightweight telemetry platform for machines. Configure your machine with a write token and it will automatically stream state changes and log messages to a hosted dashboard — accessible from anywhere, with no infrastructure to manage.
The model is simple:
- Create a bucket — you get a public ID and a secret write token.
- Configure your machine with those credentials via environment variables.
- View the dashboard — state data streams in automatically, filterable by machine and key.
Creating a bucket
Open the cloud dashboard and click Create bucket. Give it a name — this is just a label for your own reference.

After creation, you'll see your credentials once. Save them immediately — the write token cannot be recovered.

You can download a .env file with both values pre-formatted:
VINTAGE_CLOUD_PUBLIC_ID=<your-public-id>
VINTAGE_CLOUD_WRITE_TOKEN=<your-write-token>Connecting a machine
Set the two environment variables before starting the vintage CLI:
export VINTAGE_CLOUD_PUBLIC_ID=your-public-id
export VINTAGE_CLOUD_WRITE_TOKEN=your-write-token
vintage serve my-machine.tsOr use a .env file:
vintage serve my-machine.ts --env .envOnce connected, every updateState() call and every emitInfo / emitWarn /
emitError is sent to your bucket automatically.
Dashboard
The bucket dashboard shows incoming state data as a table, refreshing every 5 seconds. Filter by machine ID or state key to narrow down the view.

| Column | Description |
|---|---|
| Time | When the state change was recorded |
| Machine | The __NAME of the machine that sent it |
| Key | The state key (e.g. temperature, count) |
| Value | The value at that point in time |
Up to 1,000 rows are shown, ordered newest first.
Access model
| Public ID | Write token | |
|---|---|---|
| Read dashboard | Required | Not needed |
| Write data | Required | Required |
The public ID is safe to share — anyone with it can view the dashboard. The write token is secret and should only be in your machine's environment.
Bookmarks
Use the Open bucket page to access a bucket by public ID. Buckets can be bookmarked locally in the browser for quick access.
