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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 uses a client-server stateless architecture 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
Configuration — Opal documentation - OBiBa Opal can authenticate users by using an existing LDAP or Active Directory server This is done by adding the proper configuration section in the shiro ini file:
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
Chap 12. Policy Synchronization using OPAL · GitBook OPAL consists of a server responsible for tracking policy data from the policy repository and an OPAL client that reflects changes to the OPA instances Policies are managed through a policy repository tracked by the OPAL server and may also include their own data