OPAL VS casbin

Another tool that can help you deploy a Policy as Code-based solution in 2024 is OPAL, the Open Policy Administration Layer. OPAL is an open-source project that provides a comprehensive policy-based service for applications. With one click, you can deploy a full architecture of a Git-based centralized policy store with decentralized policy engines running as a sidecar with your applications. OPAL also provides a unified architecture to sync all the data you need with the policy engines.

Inspired by Braden’s post, this blog explores the journey of Reddit's team, focusing on their strategic decisions, the challenges they encountered, and the innovative solutions they crafted. Alongside Reddit's in-house efforts, we also examine OPAL, an open-source solution that aligns with the functionality of Reddit’s system, presenting an alternative approach for organizations seeking sophisticated authorization management solutions in the field of Ad Tech.

We reviewed how Netlfix used OPA with a a replication pattern; and decided to create a similar yet more extensible and event-driven solution - and so OPAL (Open Policy Administration Layer) was born - creating a scalable, zero-trust way to manage policy engines and their policy/data at scale.

If you find this post helpful,please give OPAL a star on GitHub! Your support helps us make access control easier and motivates us to write more articles like this one.

We are considering connecting this provider to our open-source tool OPAL. Are you using OPAL? Do you think such integration would be beneficial?

One example of such an administration tool is OPAL, an open policy administration layer that works with OPA. OPAL tracks changes in external services and propagates the data to the OPA PDPs so the authorization requests can handle existing data and return faster results.

Building permissions and authorization can be a complex endeavor, but adhering to the best practices outlined in this article can lead to more robust and maintainable applications. It's vital to avoid the mentioned anti-patterns, adopt a declarative approach, and ensure that your authorization system is agnostic, generic, decoupled, unified, and easily auditable. By centralizing your authorization policies and leveraging open-source tools or cloud services like OPAL and Permit.io, you can streamline the implementation and management of your authorization system.

https://casbin.org/ (multiple approaches, multiple languages, provider) Open source authZ library that has support for many access control models (ACL, RBAC, ABAC, …) and many languages (Go, Java, Node.js, JS, Rust, …). While somewhat complex, it is also powerful and flexible. They also have their Casdoor platform, which is authN and authZ provider.

Looks like you’re looking for a role-based access control (RBAC) module on your backend. What you would do is attach roles to your users/tokens which would allow or deny any specific action on a resource. Take a look at https://casbin.org/ that might be useful.

Looking at your username, it would be nice to mention that you are one of the main developers behind the tool instead of making it sound like you are unrelated: https://github.com/casbin/casbin/graphs/contributors https://github.com/casdoor/casdoor/graphs/contributors

We use casbin . We’re using python version, but it has libraries for many languages. There are some adapters for loading policies from a datastore but we are not using any of them

- Casbin handles RBAC, ABAC: https://casbin.org/

https://casbin.org/ (multiple approaches, multiple languages, provider) Open source authZ library that has support for many access control models (ACL, RBAC, ABAC, …) and many languages (Go, Java, Node.js, JS, Rust, …). While somewhat complex, it is also powerful and flexible. They also have their Casdoor platform, which is authN and authZ provider.

You can probably look into casbin