Quickstart
Create a project, connect a Kubernetes project worker and backup source, and run your first restore check.
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This guide takes you from an empty account to a first completed check.
You need:
Review the full requirements before using a production-like cluster.
Complete account verification, create or join an organization, and create a project. Use projects to separate workers, credentials, schedules, and API keys. Organization members inherit their roles across its projects; use separate organizations when human access must differ.
In the active project, open Project workers and create a worker. Set its maximum parallel jobs to a value your cluster and source can sustain. Apply the generated Kubernetes manifests, then wait until the worker is Online.
See Project workers and the Kubernetes installation guide for the detailed cluster procedure.
Open Secrets and create source credential metadata. In the project worker's job namespace, create a Kubernetes Secret with the displayed name and the required keys.
RestoreTrust stores the metadata and Kubernetes Secret name, not the values. See Source credentials for the keys expected by each source type.
Open Sources, select S3, FTP, SFTP, or SMB, and enter the host details. Select the matching active source secret, save, and confirm that the values describe the location the project worker can reach.
Open Schedules and choose the project worker, source, backup path, and file-matching method. Select a file check or a database restore. For database restores, choose the exact database version and add gates that test the result.
Configure the cadence and optional notification channels. Schedule times and date variables are evaluated in UTC.
Start a manual run from the schedule or choose the option to run once after creation. Open the resulting check to review its status, logs, probes, messages, and available evidence.
The saved cadence remains unchanged. The manual check still uses plan quota and waits for worker capacity like any scheduled check.
If the first run fails, use the failed stage and relevant logs to narrow the cause. A successful first run is a baseline; improve the schedule with gates that represent the data and recovery conditions your organization actually depends on.