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Opal's configuration is based on our very own confi module, which in turn is based on decouple, and adds complex value parsing with pydantic, and command line arguments via typer/click. We have a separate tutorial on how to trigger updates. This guide will teach you how to setup the opal server & client as a series of python packages using the cli.

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Upon updates, each client fetches data directly (from the source) to load it into its managed policy engine instance. Now that opal is live, we can use opal server to push updates to opal clients in real time The opal server serves the base data source configuration for opal client

The configuration is structured as directives for the client, each directive specifies what to fetch (url), and where to put it in opa data document hierarchy (destination path).

Opal client can be configured to maintain a local backup file, enabling to restore the policy store to its last known state after a restart, even when server is unavailable. Opa is solely responsible for enforcing and evaluating authorization queries.