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OPAL Configuration Guide 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
opal-client · PyPI The opal-client is deployed alongside a policy-store (e g: OPA), keeping it up-to-date, by connecting to an opal-server and subscribing to pub sub updates for policy and policy data changes
GitHub - permitio opal: Policy and data administration, distribution . . . OPAL-Servers publish policy and data updates over a lightweight (websocket) PubSub Channel, which OPAL-clients subscribe to via topics Upon updates, each client fetches data directly (from the source) to load it into its managed Policy Engine instance
Setup up the OPAL Client If you would like OPAL to execute OPA for you, and act as a watchdog for OPA, we need to make sure it can find the OPA program and make it executable To do this, please follow the guidance here, but below is an example of what needs to be added
Design - OPAL OPAL-clients can be configured and extended to aggregate data from any data-source into whichever service needs it OPAL was built initially with OPA in mind, and OPA is mostly a first-class citizen in OPAL
Run the OPAL Client Now that OPAL is live, we can use OPAL server to push updates to OPAL clients in real time We have a separate tutorial on how to trigger updates
OPA Runner Parameters | OPAL 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