DataKitchen Documentation

DataOps Automation Help

DataOps Concepts

DataOps Observability Help

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Recipes for DataOps success open_in_new

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The DataOps Manifesto open_in_new

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Automation release notes

Observability release notes

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Frequently asked questions

Automation supports a number of variable classes, which it applies in a set priority but at different times during order run execution. See Variable Classes for more information.

You can schedule orders to run at regular intervals using a form in the DataKitchen web app or via command line. It is helpful to understand cron expressions for more advanced scheduling.

Error messages displayed before order execution or in the logs for an order run can provide helpful guidance for fixing issues. See Troubleshoot Order Problems for more information.

You can connect supported input/output components as data sources and data sinks. See Supported Connectors for the official list. All other tool connections can be accomplished using container nodes and storing tool credentials as secrets.

Observability provides end-to-end visibility across your data estate by collecting events from your environment, comparing this information against expectations, displaying the results, creating alerts, and sending notifications. See Introduction to Observability for more information.

Once your tools and data assets are configured to send events to the Events Ingestion API, Observability can receive, aggregate, and display them in the UI. See Event Ingestion API for more information.