This page shows you how to authorize actions on resources in your Google Kubernetes Engine (GKE) clusters using the built-in role-based access control (RBAC) mechanism in Kubernetes.
RBAC is a core security feature in Kubernetes that lets you create fine-grained permissions to manage what actions users and workloads can perform on resources in your clusters. As a platform administrator, you create RBAC roles and bind those roles to subjects, which are authenticated users such as service accounts or Groups. Kubernetes RBAC is enabled by default.
Before you begin
Before you start, make sure you have performed the following tasks:
- Enable the Google Kubernetes Engine API. Enable Google Kubernetes Engine API
- If you want to use the Google Cloud CLI for this task,
install and then
initialize the
gcloud CLI. If you previously installed the gcloud CLI, get the latest
version by running
gcloud components update
.
- Read Best practices for GKE RBAC for guidelines to improve the design of your RBAC policies.
Interaction with Identity and Access Management
You can use both Identity and Access Management (IAM) and Kubernetes RBAC to control access to your GKE cluster:
IAM is not specific to Kubernetes; it provides identity management for multiple Google Cloud products, and operates primarily at the level of the Google Cloud project.
Kubernetes RBAC is a core component of Kubernetes and lets you create and grant roles (sets of permissions) for any object or type of object within the cluster.
To authorize an action, GKE checks for an RBAC policy first. If there isn't an RBAC policy, GKE checks for IAM permissions.
In GKE, IAM and Kubernetes RBAC are integrated to authorize users to perform actions if they have sufficient permissions according to either tool. This is an important part of bootstrapping a GKE cluster, since by default Google Cloud users do not have any Kubernetes RBAC RoleBindings.
To authorize users using Google Cloud accounts, the client must
be correctly configured to authenticate using those accounts first. For example,
if you are using kubectl
, you must
configure the kubectl
command to authenticate to Google Cloud
before running any commands that require authorization.
In almost all cases, Kubernetes RBAC can be used instead of IAM.
GKE users require at minimum, the container.clusters.get
IAM permission in the project that contains the cluster.
This permission is included in the container.clusterViewer
role, and in other
more highly privileged roles. The container.clusters.get
permission is
required for users to authenticate to the clusters in the project, but does
not authorize them to perform any actions inside those clusters. Authorization
may then be provided by either IAM or Kubernetes RBAC.
Define and assign permissions
You can define RBAC rules in ClusterRole
and Role
objects, and then assign
those rules with ClusterRoleBinding
and RoleBinding
objects as follows:
- ClusterRole: a cluster-level grouping of resources and allowed operations
that you can assign to a user or a group using a
RoleBinding
or aClusterRoleBinding
. - Role: a namespaced grouping of resources and allowed operations that you
can assign to a user or a group of users using a
RoleBinding
. - ClusterRoleBinding: assign a
ClusterRole
to a user or a group for all namespaces in the cluster. - RoleBinding: assign a
Role
or aClusterRole
to a user or a group within a specific namespace.
When you use a RoleBinding
to assign a ClusterRole
to a user or group, those
users and groups can only access resources in the namespace you specify in the
RoleBinding
. If you want the users or groups to access resource across all
namespaces, use a ClusterRoleBinding
instead.
Define permissions using Roles or ClusterRoles
You define permissions within a Role or ClusterRole object. A Role defines access to resources within a single Namespace, while a ClusterRole defines access to resources in the entire cluster.
Roles and ClusterRoles have the same syntax. Each has a rules
section, where
you define the resources the rule applies to and allowed operations for the
Role. For example, the following Role grants read access (get
, watch
, and
list
) to all pods in the accounting
Namespace:
apiVersion: rbac.authorization.k8s.io/v1
kind: Role
metadata:
namespace: accounting
name: pod-reader
rules:
- apiGroups: [""] # "" indicates the core API group
resources: ["pods"]
verbs: ["get", "watch", "list"]
Refer to the Role and ClusterRole API documentation for a full list of allowed fields.
Role
vs. ClusterRole
Because permissions granted by a ClusterRole apply across the entire cluster, you can use ClusterRoles to control access to different kinds of resources than you can with Roles. These include:
- Cluster-scoped resources such as nodes
- Non-resource REST Endpoints such as
/healthz
- Namespaced resources across all Namespaces (for example, all Pods across the entire cluster, regardless of Namespace)
Assign Roles using RoleBindings or ClusterRoleBindings
After creating a Role or ClusterRole, you assign it to a user or group of users
by creating a RoleBinding or ClusterRoleBinding. Users and groups are called
subjects
, and can be any of the following:
Subject type | Value for kind |
Value for name |
---|---|---|
Google Cloud user account | User |
Google Cloud registered email address |
Kubernetes service account | ServiceAccount |
The name of a Kubernetes ServiceAccount object in the cluster |
IAM service account | User |
Automatically generated IAM service account email address |
Google Group address on a verified domain | Group |
Email address of a Google Workspace Group that is a member of the gke-security-groups group. For instructions to set up Google Groups for RBAC, refer to Configure Google Groups for RBAC. |
The following RoleBinding grants the pod-reader
Role to a user, a
Kubernetes service account, an IAM service account, and a Google
Group:
kind: RoleBinding
apiVersion: rbac.authorization.k8s.io/v1
metadata:
name: pod-reader-binding
namespace: accounting
subjects:
# Google Cloud user account
- kind: User
name: janedoe@example.com
# Kubernetes service account
- kind: ServiceAccount
name: johndoe
# IAM service account
- kind: User
name: test-account@test-project.iam.gserviceaccount.com
# Google Group
- kind: Group
name: accounting-group@example.com
roleRef:
kind: Role
name: pod-reader
apiGroup: rbac.authorization.k8s.io
Verify API access using kubectl
kubectl
provides the auth can-i
subcommand for quickly querying the API authorization layer. As a platform administrator, you might need to impersonate users to determine what actions they can perform. You can use the auth can-i
and pass an additional --as
flag.
When you run the command kubectl auth can-i
without the --as
flag, Identity and Access Management (IAM) performs the authorization. Whereas, when you append the --as
flag, Kubernetes RBAC performs the authorization. Therefore, you will need to create the necessary
Role
and RoleBinding
objects for RBAC.
For more information, see Verifying API Access.
API Usage and Examples
For complete information on using the Kubernetes API to create the necessary
Role
, ClusterRole
, RoleBinding
, and ClusterRoleBinding
objects for
RBAC, see Using Role-Based Access Control Authorization
in the Kubernetes documentation.
Troubleshooting and debugging
To debug issues with RBAC, use the
Admin activity audit log, which
is enabled on all clusters by default. If access to a resource or operation is
denied due to lack of sufficient permissions, the API server logs an RBAC DENY
error, along with additional information such as the user's implicit and
explicit group membership. If you are using Google Groups for RBAC, google groups
appears in the log message.
Limitations
The following sections describe interactions that might not seem obvious when working with Kubernetes RBAC and IAM.
Default discovery roles
Clusters are created with a set of
default ClusterRoles and ClusterRoleBindings.
Requests made with valid credentials are placed in the system:authenticated
group, whereas all other requests fall into system:unauthenticated
.
The system:basic-user
ClusterRole lets users make
SelfSubjectAccessReviews
to test their permissions in the cluster. The
system:discovery
role lets users read discovery APIs, which can reveal
information about
CustomResourceDefinitions
added to the cluster.
Anonymous users (system:unauthenticated
) receive the
system:public-info-viewer
ClusterRole instead, which grants read-only access
to /healthz
and /version
APIs.
To see the API endpoints allowed by the system:discovery
ClusterRole, run the
following command:
kubectl get clusterroles system:discovery -o yaml
Forbidden error for service accounts on Google Cloud VM instances
The following error can occur when the VM instance does not have the
userinfo-email
scope:
Error from server (Forbidden): error when creating ... "role-name" is forbidden: attempt to grant extra privileges:...
For example, suppose the VM has cloud-platform
scope but does
not have userinfo-email
scope. When the VM gets an access token, Google Cloud
associates that token with the cloud-platform
scope. When the Kubernetes API
server asks Google Cloud for the identity associated with the access token,
it receives the service account's unique ID, not the service account's email.
To authenticate successfully, either create a new VM with the userinfo-email
scope or create a new role binding that uses the unique ID.
To create a new VM instance with the userinfo-email
scope, run the following command:
gcloud compute instances create INSTANCE_NAME \
--service-account SERVICE_ACCOUNT_EMAIL \
--scopes userinfo-email
To create a new role binding that uses the service account's unique ID for an existing VM, perform the following steps:
Identify the service account's unique ID:
gcloud iam service-accounts describe SERVICE_ACCOUNT_EMAIL
For example, the following output displays the
uniqueId
for themy-iam-account@somedomain.com
service account:displayName: Some Domain IAM service account email: my-iam-account@somedomain.com etag: BwWWja0YfJA name: projects/project-name/serviceAccounts/my-iam-account@somedomain.com oauth2ClientId: '123456789012345678901' projectId: project-name uniqueId: '123456789012345678901'
Create a role binding using the
uniqueId
of the service account:kubectl create clusterrolebinding CLUSTERROLEBINDING_NAME \ --clusterrole cluster-admin \ --user UNIQUE_ID
Permission to create or update roles and role bindings
In Kubernetes, you can only create or update a role or a role binding with specific permissions if you meet the following conditions:
- Create or update a role: You must already have the same permissions
that you want to grant to the role. Alternatively, you must have
authorization to perform the
escalate
verb on the role. - Create or update a role binding: You must already have the same
permissions that are granted in the role being bound, with the same
scope as the role binding. Alternatively, you must have authorization
to perform the
bind
verb on the referenced role.
If the permissions that you're granting in the role were originally
granted to you using an IAM allow policy instead of RBAC,
your role or role binding request might fail. For example, consider the
following role creation request, from a user who has been granted
the IAM permissions container.pods.*
and
container.roles.create
:
kubectl create role allowed-to-view-pods --resource pods --verb list,get
If the user was only given the permissions using IAM, the following error could occur:
Error from server (Forbidden): clusterroles.rbac.authorization.k8s.io "allowed-to-view-pods" is forbidden:
user "caller@example.com" (groups=["system:authenticated"]) is attempting to grant RBAC permissions not currently held:
{APIGroups:[""], Resources:["pods"], Verbs:["list" "get"]}
To mitigate this limitation, grant the caller the permissions in the role using RBAC instead of IAM.
You can alternatively use either RBAC or IAM to grant the
caller the escalate
verb, the bind
verb, or both. However,
GKE does not recommend this approach, because the caller
can then grant any permission to any role.
What's next
- Learn how to create IAM policies.
- Learn how to configure Google Groups for RBAC.