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## Overview
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Feast (**Fea**ture **St**ore) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference.
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* We recommend [using Python](language.md) for your Feature Store microservice. As mentioned in the document, precomputing features is the recommended optimal path to ensure low latency performance. Reducing feature serving to a lightweight database lookup is the ideal pattern, which means the marginal overhead of Python should be tolerable. Because of this we believe the pros of Python outweigh the costs, as reimplementing feature logic is undesirable. Java and Go Clients are also available for online feature retrieval.
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* Role-Based Access Control (RBAC)[rbac.md](rbac.md) is a security mechanism that restricts access to resources based on the roles of individual users within an organization. In the context of the Feast Feature Store, RBAC ensures that only authorized users or groups can access or modify specific resources, thereby maintaining data security and operational integrity.
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*[Role-Based Access Control (RBAC)](rbac.md) is a security mechanism that restricts access to resources based on the roles of individual users within an organization. In the context of the Feast, RBAC ensures that only authorized users or groups can access or modify specific resources, thereby maintaining data security and operational integrity.
# Role-Based Access Control (RBAC) in Feast Feature Store
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# Role-Based Access Control (RBAC) in Feast
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## Introduction
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Role-Based Access Control (RBAC) is a security mechanism that restricts access to resources based on the roles of individual users within an organization. In the context of the Feast Feature Store, RBAC ensures that only authorized users or groups can access or modify specific resources, thereby maintaining data security and operational integrity.
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Role-Based Access Control (RBAC) is a security mechanism that restricts access to resources based on the roles of individual users within an organization. In the context of the Feast, RBAC ensures that only authorized users or groups can access or modify specific resources, thereby maintaining data security and operational integrity.
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## Functional Requirements
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The RBAC implementation in Feast Feature Store is designed to:
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The RBAC implementation in Feast is designed to:
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-**Assign Permissions**: Allow administrators to assign permissions for various operations and resources to users or groups based on their roles.
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-**Seamless Integration**: Integrate smoothly with existing business code without requiring significant modifications.
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-**Backward Compatibility**: Maintain support for non-authorized models as the default to ensure backward compatibility.
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## Business Goals
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The primary business goals of implementing RBAC in the Feast Feature Store are:
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1.**Feature Sharing**: Enable multiple teams to share the feature store while ensuring controlled access to data partitions. This allows for collaborative work without compromising data security.
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The primary business goals of implementing RBAC in the Feast are:
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1.**Feature Sharing**: Enable multiple teams to share the feature store while ensuring controlled access. This allows for collaborative work without compromising data security.
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2.**Access Control Management**: Prevent unauthorized access to team-specific resources and spaces, governing the operations that each user or group can perform.
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## Reference Architecture
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The Feast Feature Store operates as a collection of connected services, each enforcing authorization permissions. The architecture is designed as a distributed microservices system with the following key components:
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Feast operates as a collection of connected services, each enforcing authorization permissions. The architecture is designed as a distributed microservices system with the following key components:
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-**Service Endpoints**: These enforce authorization permissions, ensuring that only authorized requests are processed.
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-**Client Integration**: Clients interact with the feature store by automatically adding authorization headers to their requests, simplifying the process for users.
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-**Service-to-Service Communication**: This is always granted, ensuring smooth operation across the distributed system.
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-**Client Integration**: Clients authenticate with feature servers by attaching authorization token to each request.
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-**Service-to-Service Communication**: This is always granted.
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## Permission Model
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-**Action**: A logical operation performed on a resource, such as Create, Describe, Update, Delete, query, or write operations.
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-**Policy**: A set of rules that enforce authorization decisions on resources. The default implementation uses role-based policies.
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### Configuring Permissions
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Permissions in Feast are configured as follows:
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-**Resource Identification**: Resources are identified by type, optional name patterns, and tags.
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-**Allowed Operations**: Defined by the `AuthzedAction` enumeration, which specifies the actions that can be performed on the resource.
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-**RBAC Policies**: These are specified by the list of required roles, which are then registered in the Feast Registry.
Authorization is enforced using assert-style code within service endpoint functions. Unauthorized requests result in a `PermissionError` or an HTTP 403-Forbidden response.
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Example:
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```python
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assert_permissions(
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resource=feature_service,
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actions=[AuthzedAction.QUERY_ONLINE]
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)
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```
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## Use Cases
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### Tag-Based Permission
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Permit team1 to access feature views `fv1` and `fv2` with role `role1`:
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```python
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Permission(
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name="team1-fvs",
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types=[FeatureView],
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required_tags={"team": "team1"},
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actions=[CRUD, WRITE, QUERY],
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policy=RoleBasedPolicy(roles=["role1"]),
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)
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```
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### Name-Based Permission
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Permit team1 to access feature views `fv1` and `fv2` with role `role1` using explicit name matching:
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```python
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Permission(
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name="team1-fv1",
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types=[FeatureView],
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name_filter="fv1",
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actions=[CRUD, WRITE, QUERY],
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policy=RoleBasedPolicy(roles=["role1"]),
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)
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```
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## Authorization Architecture
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The authorization architecture in Feast is built with the following components:
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1.**Token Extractor**: Extracts the authorization token from the request header.
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2.**Token Parser**: Parses the token to retrieve user details.
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3.**Policy Enforcer**: Validates the secured endpoint against the retrieved user details.
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4.**Token Injector**: Adds the authorization token to each secured request header.
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### OIDC Authorization
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OpenID Connect (OIDC) authorization in Feast is supported by configuring the OIDC server to export user roles within a JWT token. The client then connects to the OIDC server to fetch this token, which is parsed by the server to extract the user's roles.
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-**Token Extractor**: Extracts the authorization token from the request header.
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-**Token Parser**: Parses the token to retrieve user details.
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-**Policy Enforcer**: Validates the secured endpoint against the retrieved user details.
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-**Token Injector**: Adds the authorization token to each secured request header.
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Example configuration:
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```yaml
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auth:
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type: oidc
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client_id: _CLIENT_ID_
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client_secret: _CLIENT_SECRET_
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username: _USERNAME_
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password: _PASSWORD_
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realm: _REALM_
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auth_server_url: _OIDC_SERVER_URL_
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```
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### Kubernetes Authorization
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In Kubernetes environments, all clients and servers run in the same cluster. The policy roles are mapped one-to-one with Kubernetes RBAC roles. The client injects the JWT token of its ServiceAccount, and the server extracts the service account name parsed from the token to look for the associated Role and ClusterRole.
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