Lesson 9: Configuring Access Control and OIDC Authentication
Migrating from k3s to RKE2 / Preparing Rocky Linux and RKE2 Environment
Before migrating workloads to Cluster B, CI/CD pipelines need the ability to deploy to it and permissions must be in place before any workloads arrive. This lesson configures authentication (who can connect to the cluster) and authorization (what they are allowed to do once connected).
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This is the 9th lesson of the guide Migrating from k3s to RKE2. Make sure you have completed the previous lesson before continuing here. The full list of lessons in the guide can be found in the overview.
Every request to the Kubernetes API server passes through three stages before it reaches the resource it targets. First, authentication validates the caller’s identity using certificates, tokens, or other credentials. Second, authorization evaluates RBAC rules to determine whether the authenticated identity is allowed to perform the requested action. Third, admission controllers enforce policies like Pod Security Standards and resource quotas.
This lesson focuses on the first two stages. Admission control is handled by the Pod Security Standards configured in Lesson 5.
Three authentication methods are relevant for our cluster:
| Method | Use Case | Credential Lifetime |
|---|---|---|
| Client certificates | Break-glass only | Long-lived (kubeconfig from RKE2) |
ServiceAccount tokens |
Admin access, IaC | Long-lived (explicit secret) |
| OIDC tokens | CI/CD pipelines | Short-lived (per-workflow) |
Client certificates are embedded in the kubeconfig that RKE2 generates at /etc/rancher/rke2/rke2.yaml.
They grant full cluster-admin access and are tied to the kubernetes-admin user, a shared identity with no way to distinguish who performed an action.
This makes them unsuitable for day-to-day administration.
They should be reserved as a break-glass credential when SSH’d into the control plane node itself.
ServiceAccount tokens provide named identities for both human administrators and automation.
Each admin gets their own ServiceAccount with an explicit token secret, creating a clear audit trail in the API server logs.
OIDC tokens are the best fit for CI/CD pipelines where short-lived, per-workflow credentials are preferred over stored secrets.
The RKE2-generated kubeconfig at /etc/rancher/rke2/rke2.yaml authenticates as kubernetes-admin with full cluster-admin privileges.
RKE2 defaults to mode 0600 for the kubeconfig, making it readable only by root.
Verify this is the case:
$ stat /etc/rancher/rke2/rke2.yaml
File: /etc/rancher/rke2/rke2.yaml
Size: 2945 Blocks: 8 IO Block: 4096 regular file
Device: 9,1 Inode: 12060119 Links: 1
Access: (0600/-rw-------) Uid: ( 0/ root) Gid: ( 0/ root)
Context: system_u:object_r:etc_t:s0
Access: 2026-02-15 18:17:51.811031115 +0200
Modify: 2026-02-15 18:28:19.277113776 +0200
Change: 2026-02-15 18:28:19.277113776 +0200
Birth: 2026-02-15 01:04:10.320015075 +0200
The Access line should show 0600/-rw-------, confirming that only root can read the file.
From this point on, use personal admin tokens for all cluster operations instead of the default kubeconfig.
Rather than hand-crafting RoleBindings for every repository that deploys to the cluster, we delegate RBAC management to a dedicated repository. This repository uses infrastructure-as-code to create Kubernetes resources (custom ClusterRoles, namespace-scoped RoleBindings, and per-repo permissions), all versioned in Git and applied through CI/CD.
The RBAC repository itself needs cluster-admin access to function.
This is a bootstrapping problem: the tool that manages permissions needs permissions before it can manage anything.
We solve it with a ServiceAccount and a static ClusterRoleBinding deployed through the RKE2 manifests directory.
Create the bootstrap manifest at /var/lib/rancher/rke2/server/manifests/rbac-bootstrap.yaml:
# /var/lib/rancher/rke2/server/manifests/rbac-bootstrap.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
name: rbac-manager
namespace: kube-system
labels:
app: rbac-manager
managed-by: manual-bootstrap
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: rbac-manager-admin
labels:
app: rbac-manager
managed-by: manual-bootstrap
subjects:
- kind: ServiceAccount
name: rbac-manager
namespace: kube-system
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: cluster-admin
---
apiVersion: v1
kind: Secret
metadata:
name: rbac-manager-token
namespace: kube-system
annotations:
kubernetes.io/service-account.name: rbac-manager
labels:
app: rbac-manager
managed-by: manual-bootstrap
type: kubernetes.io/service-account-token
Placing this file in /var/lib/rancher/rke2/server/manifests/ makes RKE2 auto-deploy it, the same pattern used for Longhorn in Lesson 7 and Traefik in Lesson 8.
The manifest creates three resources.
The ServiceAccount is what the RBAC repository’s pipeline authenticates as.
The ClusterRoleBinding grants it cluster-admin so it can create and modify RBAC resources across all namespaces.
The Secret of type kubernetes.io/service-account-token forces Kubernetes to generate a long-lived token for the ServiceAccount. Since Kubernetes 1.24, tokens are no longer auto-created as secrets, so this explicit secret is needed for the infrastructure-as-code provider’s kubeconfig.
The managed-by: manual-bootstrap label marks these as the only hand-managed RBAC resources in the cluster.
Everything else (custom ClusterRoles like deployer and reader, namespace-scoped RoleBindings for each application repository, and read-only access for pull requests) is created by the RBAC repository through infrastructure-as-code and is outside the scope of this lesson.
Each administrator gets their own ServiceAccount with cluster-admin privileges and a long-lived token.
This provides the same level of access as the RKE2 kubeconfig, but with a named identity that appears in the API server audit logs.
The following example creates an admin credential for a user named philprime.
Replace this with your own name or a descriptive identifier for the person who will use the credential.
Create the manifest at /var/lib/rancher/rke2/server/manifests/rbac-admin-philprime.yaml:
# /var/lib/rancher/rke2/server/manifests/rbac-admin-philprime.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
name: philprime
namespace: kube-system
labels:
app: admin-access
managed-by: manual-bootstrap
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: philprime-admin
labels:
app: admin-access
managed-by: manual-bootstrap
subjects:
- kind: ServiceAccount
name: philprime
namespace: kube-system
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: cluster-admin
---
apiVersion: v1
kind: Secret
metadata:
name: philprime-token
namespace: kube-system
annotations:
kubernetes.io/service-account.name: philprime
labels:
app: admin-access
managed-by: manual-bootstrap
type: kubernetes.io/service-account-token
The structure follows the same three-resource pattern as the RBAC bootstrap manifest above. RKE2 auto-deploys it from the manifests directory within a few seconds.
Repeat this pattern for each administrator, using a separate file and ServiceAccount name per person.
Extract the token once the secret is created:
$ sudo /var/lib/rancher/rke2/bin/kubectl --kubeconfig /etc/rancher/rke2/rke2.yaml get secret philprime-token -n kube-system -o jsonpath='{.data.token}' | base64 -d
eyJhbGciOiJSUzI1NiIs...
Rather than running multiple kubectl config commands on your local machine, generate a complete kubeconfig on the server that embeds the CA certificate and token.
Run this on the control plane node, replacing cluster.yourdomain.com with the public DNS name or IP from the tls-san list in Lesson 5:
$ export SERVER="https://cluster.yourdomain.com:6443"
$ export CA_DATA=$(sudo base64 -w0 /var/lib/rancher/rke2/server/tls/server-ca.crt)
$ export TOKEN=$(sudo /var/lib/rancher/rke2/bin/kubectl --kubeconfig /etc/rancher/rke2/rke2.yaml get secret philprime-token -n kube-system -o jsonpath='{.data.token}' | base64 -d)
$ cat <<EOF
apiVersion: v1
kind: Config
clusters:
- cluster:
certificate-authority-data: ${CA_DATA}
server: ${SERVER}
name: prod-hel1-2
contexts:
- context:
cluster: prod-hel1-2
user: philprime
name: prod-hel1-2
current-context: prod-hel1-2
users:
- name: philprime
user:
token: ${TOKEN}
EOF
Copy the output and save it to ~/.kube/config on your local machine (or merge it into an existing kubeconfig with KUBECONFIG=~/.kube/config:new-file kubectl config view --flatten).
Verify the connection from your local machine:
$ kubectl get nodes
NAME STATUS ROLES AGE VERSION
node4 Ready control-plane,etcd,master 2d v1.34.3+rke2r3
Repeat for each administrator who needs cluster access, using a different ServiceAccount name. All subsequent commands in this guide assume we are using a personal admin context rather than the default RKE2 kubeconfig.
The traditional approach to CI/CD authentication stores a kubeconfig or service account token as a repository secret. This works, but it creates a long-lived credential that must be manually rotated and grants the same permissions regardless of which workflow uses it. The credential cannot be traced back to a specific deployment without additional logging and remains valid until explicitly revoked, even if the repository is compromised.
GitHub OIDC eliminates these problems. Each workflow run requests a fresh token from GitHub’s OIDC provider, and the Kubernetes API server validates it directly. No shared secrets involved. The token is scoped to the repository and workflow that requested it, expires within minutes, and produces a clear audit trail linking every API call back to a specific commit and actor.
Kubernetes 1.29 introduced Structured Authentication Configuration as a replacement for the legacy --oidc-* command-line flags on the API server.
Instead of passing issuer URL, client ID, and claim mappings as individual flags, we write a single configuration file that the API server reads at startup.
The API is available as apiserver.config.k8s.io/v1beta1 in Kubernetes 1.30 and 1.31 and graduated to v1 in Kubernetes 1.32.
Since RKE2 v1.34 ships Kubernetes 1.34, we use the stable v1 version.
The legacy --oidc-* flags support exactly one JWT issuer and require an API server restart to change any setting.
Structured Authentication Configuration supports multiple JWT issuers in a single configuration file, uses CEL-based expressions for claim mapping to transform claims into Kubernetes usernames and groups, and includes claim validation rules that reject tokens not matching specific criteria.
The API server reads the configuration file at startup without needing separate flags for each field.
The configuration file defines a list of JWT authenticators under the jwt key.
| Field | Purpose |
|---|---|
issuer.url |
The OIDC issuer URL; must match the iss claim in the token |
issuer.audiences |
Accepted aud values; tokens with different audiences are rejected |
claimMappings.username |
CEL expression that produces the Kubernetes username |
claimMappings.groups |
CEL expression that produces a list of Kubernetes groups |
claimValidationRules |
CEL expressions that must evaluate to true for the token to be accepted |
GitHub Actions can request an OIDC token from https://token.actions.githubusercontent.com during any workflow run.
The token contains claims that describe the context of the workflow: which repository triggered it, who initiated it, and what branch is being built.
| Claim | Example Value | Purpose |
|---|---|---|
sub |
repo:kula-app/my-project:ref:refs/heads/main |
Full identity string |
repository |
kula-app/my-project |
Repository name |
repository_owner |
kula-app |
Organization |
actor |
philprime |
User who triggered |
ref |
refs/heads/main |
Branch or tag |
We map the repository claim to a Kubernetes username of the form github-actions:repo:<repository>, giving each repository its own identity for audit trails.
For groups, each token receives membership in two groups: github-actions as a broad group for all GitHub Actions and github-actions:<repository_owner> as an organization-level group for RBAC bindings.
A deployment from kula-app/my-project authenticates as user github-actions:repo:kula-app/my-project in groups github-actions and github-actions:kula-app.
The URN-like format (github-actions:repo:org/name) makes the identity self-describing and consistent with GitHub’s own sub claim structure.
RBAC bindings target the organization group, so adding a new repository to the organization automatically grants it the same permissions without touching any cluster configuration.
The authentication configuration lives in two files: one that describes the OIDC provider and one that tells RKE2 to load it.
Unlike the RBAC manifests created earlier in this lesson, the AuthenticationConfiguration is not a Kubernetes resource.
It is a local file that the kube-apiserver reads at startup. It never enters the Kubernetes API and is not applied with kubectl.
This is why we place it in /etc/rancher/rke2/ alongside the other RKE2 configuration files rather than in /var/lib/rancher/rke2/server/manifests/, which is reserved for Kubernetes resources that the Helm controller auto-deploys into the cluster.
We use /etc/rancher/rke2/auth-config.yaml to keep it next to config.yaml.d/ and rke2.yaml, but any location works as long as the RKE2 config references the same path.
Create the file at /etc/rancher/rke2/auth-config.yaml:
# /etc/rancher/rke2/auth-config.yaml
apiVersion: apiserver.config.k8s.io/v1
kind: AuthenticationConfiguration
jwt:
- issuer:
url: https://token.actions.githubusercontent.com
audiences:
- api://prod-hel1-2.k8s.kula.app
claimMappings:
username:
expression: "'github-actions:repo:' + claims.repository"
groups:
expression: "['github-actions', 'github-actions:' + claims.repository_owner]"
claimValidationRules:
# Replace <your-github-org> with your actual GitHub organization name
- expression: "claims.repository_owner == '<your-github-org>'"
message: "token must come from your GitHub organization"
Replace <your-github-org> with your actual GitHub organization name (for example, kula-app).
The issuer.url must exactly match the iss claim in GitHub’s OIDC tokens.
The audiences list defines what value the workflow must request as the token’s aud claim. We use api://prod-hel1-2.k8s.kula.app as a custom audience that identifies this specific cluster.
The api:// scheme follows the convention for non-web API audiences, distinguishing it from the cluster’s HTTPS endpoint.
The claimMappings section uses CEL expressions to transform token claims into Kubernetes identity.
The username expression concatenates the string github-actions: with the repository claim, producing identities like github-actions:repo:kula-app/my-project.
The groups expression builds a list of two groups: one for all GitHub Actions and one scoped to the organization.
The claimValidationRules section acts as a gatekeeper.
The expression claims.repository_owner == '<your-github-org>' ensures that only tokens from our organization are accepted.
A token from a forked repository in a different organization would be rejected with the message “token must come from your GitHub organization”.
RKE2 runs the kube-apiserver as a static pod, which normally cannot see files on the host filesystem.
When a kube-apiserver-arg references a file path under /etc/rancher/rke2/, RKE2 automatically bind-mounts that file into the static pod, the same mechanism it uses for rke2-pss.yaml and other configuration files.
This means we only need to pass the argument and no explicit kube-apiserver-extra-mount is required.
Create the RKE2 config file at /etc/rancher/rke2/config.yaml.d/40-authentication.yaml:
# /etc/rancher/rke2/config.yaml.d/40-authentication.yaml
kube-apiserver-arg:
- "authentication-config=/etc/rancher/rke2/auth-config.yaml"
The authentication-config argument tells the API server to load the Structured Authentication Configuration from that file.
This follows the same numbered-file pattern used for network (10-network.yaml), external access (20-external-access.yaml), and security (30-security.yaml) in Lesson 5.
Restart RKE2 to apply the new configuration:
$ sudo systemctl restart rke2-server
The API server will re-read all configuration files and initialize the OIDC authenticator during startup.
After restarting RKE2, verify that the cluster is healthy:
$ export KUBECONFIG=/etc/rancher/rke2/rke2.yaml
$ kubectl get nodes
NAME STATUS ROLES AGE VERSION
node4 Ready control-plane,etcd,master 2d v1.34.3+rke2r3
$ kubectl get pods -n kube-system
NAME READY STATUS RESTARTS AGE
cloud-controller-manager-node4 1/1 Running 0 102m
etcd-node4 1/1 Running 0 102m
helm-install-longhorn-7qmq4 0/1 Completed 2 3h6m
helm-install-rke2-canal-hcw7r 0/1 Completed 0 15h
helm-install-rke2-coredns-p7rr9 0/1 Completed 1 14h
helm-install-rke2-metrics-server-vgqrn 0/1 Completed 0 16h
helm-install-rke2-runtimeclasses-x6s6t 0/1 Completed 0 16h
helm-install-rke2-snapshot-controller-2mcgw 0/1 Completed 2 16h
helm-install-rke2-snapshot-controller-crd-flrjh 0/1 Completed 0 16h
helm-install-traefik-qxlw4 0/1 Completed 0 9m31s
kube-apiserver-node4 1/1 Running 0 102m
kube-controller-manager-node4 1/1 Running 0 102m
kube-proxy-node4 1/1 Running 0 9m52s
kube-scheduler-node4 1/1 Running 0 102m
rke2-canal-gpwx8 2/2 Running 0 15h
rke2-coredns-rke2-coredns-5ccb49bfd9-nfbdz 1/1 Running 0 14h
rke2-coredns-rke2-coredns-autoscaler-84ff4dbbb4-xbkzk 1/1 Running 0 14h
rke2-metrics-server-7b59bd8854-blsqz 1/1 Running 0 16h
rke2-snapshot-controller-9fccd4467-ht975 1/1 Running 8 (105m ago) 16h
traefik-628vd 1/1 Running 0 73m
All pods in kube-system should be in Running state (except for completed Helm install jobs).
If the API server fails to start, check the troubleshooting section below.
Confirm that the kube-apiserver started with the --authentication-config flag:
$ ps aux | grep kube-apiserver | grep authentication-config
root 2174001 17.7 0.4 1823692 600736 ? Ssl 18:17 0:32 kube-apiserver ... --authentication-config=/etc/rancher/rke2/auth-config.yaml --authorization-mode=Node,RBAC ...
The output should contain --authentication-config=/etc/rancher/rke2/auth-config.yaml.
If the flag is missing, the 40-authentication.yaml config file may not have been picked up. Verify it exists and restart RKE2.
Confirm the bootstrap resources were auto-deployed:
$ kubectl get serviceaccount rbac-manager -n kube-system
NAME SECRETS AGE
rbac-manager 0 30s
$ kubectl get clusterrolebinding rbac-manager-admin
NAME ROLE AGE
rbac-manager-admin ClusterRole/cluster-admin 30s
$ kubectl get secret rbac-manager-token -n kube-system
NAME TYPE DATA AGE
rbac-manager-token kubernetes.io/service-account-token 3 30s
All three resources should exist and show a recent creation time.
To use this authentication from a GitHub Actions workflow, the workflow requests an OIDC token with the configured audience and passes it as a bearer token in a kubeconfig.
The workflow needs id-token: write permission and uses actions/github-script or a direct API call to obtain the token:
permissions:
id-token: write
steps:
- name: Get OIDC token
id: token
run: |
TOKEN=$(curl -sLS "${ACTIONS_ID_TOKEN_REQUEST_URL}&audience=api://prod-hel1-2.k8s.kula.app" \
-H "Authorization: bearer ${ACTIONS_ID_TOKEN_REQUEST_TOKEN}")
echo "id_token=$(echo "$TOKEN" | jq -r '.value')" >> "$GITHUB_OUTPUT"
The token is then used as a bearer token in a kubeconfig that points to Cluster B’s API server.
The full workflow integration depends on the deployment tooling. The key requirement is that the audience parameter matches the value configured in auth-config.yaml.
If RKE2 does not come back up after the restart, check the server logs:
$ sudo journalctl -xeu rke2-server | tail -50
If the journal shows no clear error, check the kubelet log. The apiserver runs as a static pod and the kubelet logs manifest validation failures:
$ sudo tail -200 /var/lib/rancher/rke2/agent/logs/kubelet.log | grep -iE "apiserver|error|fail|mount"
The most common causes are YAML syntax errors in auth-config.yaml, which can be validated with python3 -c "import yaml; yaml.safe_load(open('/etc/rancher/rke2/auth-config.yaml'))".
Duplicate volume mounts also cause problems. Do not add kube-apiserver-extra-mount for the auth config file because RKE2 auto-mounts files referenced by kube-apiserver-arg and a duplicate mount causes the static pod manifest to be rejected.
File permissions matter as well. The auth-config file must be readable by the rke2 process.
To recover quickly, remove or rename the 40-authentication.yaml file and restart:
$ sudo mv /etc/rancher/rke2/config.yaml.d/40-authentication.yaml /tmp/
$ sudo systemctl restart rke2-server
Once the cluster is back, fix the configuration and re-apply.
If a GitHub Actions workflow receives a 401 Unauthorized when authenticating, start by verifying the audience matches. The workflow must request api://prod-hel1-2.k8s.kula.app as the audience, matching the audiences list in auth-config.yaml.
The issuer URL must be exactly https://token.actions.githubusercontent.com with no trailing slash.
If the repository_owner in the token does not match the claim validation rule, the token is rejected with the configured error message.
Inspect the API server logs for detailed rejection reasons:
$ sudo journalctl -u rke2-server | grep -i oidc
If an authenticated request receives 403 Forbidden, verify the bootstrap ClusterRoleBinding exists:
$ kubectl get clusterrolebinding rbac-manager-admin -o yaml
For application repositories, check that the RBAC pipeline has created the expected RoleBindings:
$ kubectl get rolebindings -A -l managed-by=rbac-manager
To test permissions for a specific identity, use kubectl auth can-i:
$ kubectl auth can-i create deployments --as="github-actions:repo:kula-app/my-repo" -n <namespace>
Lesson Conclusion
Congratulations! Cluster B accepts GitHub OIDC tokens for CI/CD automation and uses group-based RBAC for authorization, with client certificates reserved for admin break-glass access. You have completed this lesson and you can now continue with the next one.
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