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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. Upon updates, each client fetches data directly (from the source) to load it into its managed policy engine instance.
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Opa is solely responsible for enforcing and evaluating authorization queries. Now that opal is live, we can use opal server to push updates to opal clients in real time This guide will teach you how to setup the opal server & client as a series of python packages using the cli.
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.
