Managing Service Accounts

A ServiceAccount provides an identity for processes that run in a Pod.

A process inside a Pod can use the identity of its associated service account to authenticate to the cluster’s API server.

For an introduction to service accounts, read configure service accounts.

This task guide explains some of the concepts behind ServiceAccounts. The guide also explains how to obtain or revoke tokens that represent ServiceAccounts.

Before you begin

You need to have a Kubernetes cluster, and the kubectl command-line tool must be configured to communicate with your cluster. It is recommended to run this tutorial on a cluster with at least two nodes that are not acting as control plane hosts. If you do not already have a cluster, you can create one by using minikube or you can use one of these Kubernetes playgrounds:

To be able to follow these steps exactly, ensure you have a namespace named examplens. If you don’t, create one by running:

  1. kubectl create namespace examplens

User accounts versus service accounts

Kubernetes distinguishes between the concept of a user account and a service account for a number of reasons:

  • User accounts are for humans. Service accounts are for application processes, which (for Kubernetes) run in containers that are part of pods.
  • User accounts are intended to be global: names must be unique across all namespaces of a cluster. No matter what namespace you look at, a particular username that represents a user represents the same user. In Kubernetes, service accounts are namespaced: two different namespaces can contain ServiceAccounts that have identical names.
  • Typically, a cluster’s user accounts might be synchronised from a corporate database, where new user account creation requires special privileges and is tied to complex business processes. By contrast, service account creation is intended to be more lightweight, allowing cluster users to create service accounts for specific tasks on demand. Separating ServiceAccount creation from the steps to onboard human users makes it easier for workloads to follow the principle of least privilege.
  • Auditing considerations for humans and service accounts may differ; the separation makes that easier to achieve.
  • A configuration bundle for a complex system may include definition of various service accounts for components of that system. Because service accounts can be created without many constraints and have namespaced names, such configuration is usually portable.

Bound service account token volume mechanism

FEATURE STATE: Kubernetes v1.22 [stable]

By default, the Kubernetes control plane (specifically, the ServiceAccount admission controller) adds a projected volume to Pods, and this volume includes a token for Kubernetes API access.

Here’s an example of how that looks for a launched Pod:

  1. ...
  2.   - name: kube-api-access-<random-suffix>
  3.     projected:
  4.       sources:
  5.         - serviceAccountToken:
  6.             path: token # must match the path the app expects
  7.         - configMap:
  8.             items:
  9.               - key: ca.crt
  10.                 path: ca.crt
  11.             name: kube-root-ca.crt
  12.         - downwardAPI:
  13.             items:
  14.               - fieldRef:
  15.                   apiVersion: v1
  16.                   fieldPath: metadata.namespace
  17.                 path: namespace

That manifest snippet defines a projected volume that consists of three sources. In this case, each source also represents a single path within that volume. The three sources are:

  1. A serviceAccountToken source, that contains a token that the kubelet acquires from kube-apiserver. The kubelet fetches time-bound tokens using the TokenRequest API. A token served for a TokenRequest expires either when the pod is deleted or after a defined lifespan (by default, that is 1 hour). The kubelet also refreshes that token before the token expires. The token is bound to the specific Pod and has the kube-apiserver as its audience. This mechanism superseded an earlier mechanism that added a volume based on a Secret, where the Secret represented the ServiceAccount for the Pod, but did not expire.
  2. A configMap source. The ConfigMap contains a bundle of certificate authority data. Pods can use these certificates to make sure that they are connecting to your cluster’s kube-apiserver (and not to middlebox or an accidentally misconfigured peer).
  3. A downwardAPI source that looks up the name of the namespace containing the Pod, and makes that name information available to application code running inside the Pod.

Any container within the Pod that mounts this particular volume can access the above information.

Note: There is no specific mechanism to invalidate a token issued via TokenRequest. If you no longer trust a bound service account token for a Pod, you can delete that Pod. Deleting a Pod expires its bound service account tokens.

Manual Secret management for ServiceAccounts

Versions of Kubernetes before v1.22 automatically created credentials for accessing the Kubernetes API. This older mechanism was based on creating token Secrets that could then be mounted into running Pods.

In more recent versions, including Kubernetes v1.29, API credentials are obtained directly using the TokenRequest API, and are mounted into Pods using a projected volume. The tokens obtained using this method have bounded lifetimes, and are automatically invalidated when the Pod they are mounted into is deleted.

You can still manually create a Secret to hold a service account token; for example, if you need a token that never expires.

Once you manually create a Secret and link it to a ServiceAccount, the Kubernetes control plane automatically populates the token into that Secret.

Note: Although the manual mechanism for creating a long-lived ServiceAccount token exists, using TokenRequest to obtain short-lived API access tokens is recommended instead.

Auto-generated legacy ServiceAccount token clean up

Before version 1.24, Kubernetes automatically generated Secret-based tokens for ServiceAccounts. To distinguish between automatically generated tokens and manually created ones, Kubernetes checks for a reference from the ServiceAccount’s secrets field. If the Secret is referenced in the secrets field, it is considered an auto-generated legacy token. Otherwise, it is considered a manually created legacy token. For example:

  1. apiVersion: v1
  2. kind: ServiceAccount
  3. metadata:
  4.   name: build-robot
  5.   namespace: default
  6. secrets:
  7.   - name: build-robot-secret # usually NOT present for a manually generated token

Beginning from version 1.29, legacy ServiceAccount tokens that were generated automatically will be marked as invalid if they remain unused for a certain period of time (set to default at one year). Tokens that continue to be unused for this defined period (again, by default, one year) will subsequently be purged by the control plane.

If users use an invalidated auto-generated token, the token validator will

  1. add an audit annotation for the key-value pair authentication.k8s.io/legacy-token-invalidated: <secret name>/<namepace>,
  2. increment the invalid_legacy_auto_token_uses_total metric count,
  3. update the Secret label kubernetes.io/legacy-token-last-used with the new date,
  4. return an error indicating that the token has been invalidated.

When receiving this validation error, users can update the Secret to remove the kubernetes.io/legacy-token-invalid-since label to temporarily allow use of this token.

Here’s an example of an auto-generated legacy token that has been marked with the kubernetes.io/legacy-token-last-used and kubernetes.io/legacy-token-invalid-since labels:

  1. apiVersion: v1
  2. kind: Secret
  3. metadata:
  4.   name: build-robot-secret
  5.   namespace: default
  6.   labels:
  7.     kubernetes.io/legacy-token-last-used: 2022-10-24
  8.     kubernetes.io/legacy-token-invalid-since: 2023-10-25
  9.   annotations:
  10.     kubernetes.io/service-account.name: build-robot
  11. type: kubernetes.io/service-account-token

Control plane details

ServiceAccount controller

A ServiceAccount controller manages the ServiceAccounts inside namespaces, and ensures a ServiceAccount named “default” exists in every active namespace.

Token controller

The service account token controller runs as part of kube-controller-manager. This controller acts asynchronously. It:

  • watches for ServiceAccount deletion and deletes all corresponding ServiceAccount token Secrets.
  • watches for ServiceAccount token Secret addition, and ensures the referenced ServiceAccount exists, and adds a token to the Secret if needed.
  • watches for Secret deletion and removes a reference from the corresponding ServiceAccount if needed.

You must pass a service account private key file to the token controller in the kube-controller-manager using the --service-account-private-key-file flag. The private key is used to sign generated service account tokens. Similarly, you must pass the corresponding public key to the kube-apiserver using the --service-account-key-file flag. The public key will be used to verify the tokens during authentication.

ServiceAccount admission controller

The modification of pods is implemented via a plugin called an Admission Controller. It is part of the API server. This admission controller acts synchronously to modify pods as they are created. When this plugin is active (and it is by default on most distributions), then it does the following when a Pod is created:

  1. If the pod does not have a .spec.serviceAccountName set, the admission controller sets the name of the ServiceAccount for this incoming Pod to default.
  2. The admission controller ensures that the ServiceAccount referenced by the incoming Pod exists. If there is no ServiceAccount with a matching name, the admission controller rejects the incoming Pod. That check applies even for the default ServiceAccount.
  3. Provided that neither the ServiceAccount’s automountServiceAccountToken field nor the Pod’s automountServiceAccountToken field is set to false:
    • the admission controller mutates the incoming Pod, adding an extra volume that contains a token for API access.
    • the admission controller adds a volumeMount to each container in the Pod, skipping any containers that already have a volume mount defined for the path /var/run/secrets/kubernetes.io/serviceaccount. For Linux containers, that volume is mounted at /var/run/secrets/kubernetes.io/serviceaccount; on Windows nodes, the mount is at the equivalent path.
  4. If the spec of the incoming Pod doesn’t already contain any imagePullSecrets, then the admission controller adds imagePullSecrets, copying them from the ServiceAccount.

Legacy ServiceAccount token tracking controller

FEATURE STATE: Kubernetes v1.28 [stable]

This controller generates a ConfigMap called kube-system/kube-apiserver-legacy-service-account-token-tracking in the kube-system namespace. The ConfigMap records the timestamp when legacy service account tokens began to be monitored by the system.

Legacy ServiceAccount token cleaner

FEATURE STATE: Kubernetes v1.29 [beta]

The legacy ServiceAccount token cleaner runs as part of the kube-controller-manager and checks every 24 hours to see if any auto-generated legacy ServiceAccount token has not been used in a specified amount of time. If so, the cleaner marks those tokens as invalid.

The cleaner works by first checking the ConfigMap created by the control plane (provided that LegacyServiceAccountTokenTracking is enabled). If the current time is a specified amount of time after the date in the ConfigMap, the cleaner then loops through the list of Secrets in the cluster and evaluates each Secret that has the type kubernetes.io/service-account-token.

If a Secret meets all of the following conditions, the cleaner marks it as invalid:

  • The Secret is auto-generated, meaning that it is bi-directionally referenced by a ServiceAccount.
  • The Secret is not currently mounted by any pods.
  • The Secret has not been used in a specified amount of time since it was created or since it was last used.

The cleaner marks a Secret invalid by adding a label called kubernetes.io/legacy-token-invalid-since to the Secret, with the current date as the value. If an invalid Secret is not used in a specified amount of time, the cleaner will delete it.

Note: All the specified amount of time above defaults to one year. The cluster administrator can configure this value through the --legacy-service-account-token-clean-up-period command line argument for the kube-controller-manager component.

TokenRequest API

FEATURE STATE: Kubernetes v1.22 [stable]

You use the TokenRequest subresource of a ServiceAccount to obtain a time-bound token for that ServiceAccount. You don’t need to call this to obtain an API token for use within a container, since the kubelet sets this up for you using a projected volume.

If you want to use the TokenRequest API from kubectl, see Manually create an API token for a ServiceAccount.

The Kubernetes control plane (specifically, the ServiceAccount admission controller) adds a projected volume to Pods, and the kubelet ensures that this volume contains a token that lets containers authenticate as the right ServiceAccount.

(This mechanism superseded an earlier mechanism that added a volume based on a Secret, where the Secret represented the ServiceAccount for the Pod but did not expire.)

Here’s an example of how that looks for a launched Pod:

  1. ...
  2.   - name: kube-api-access-<random-suffix>
  3.     projected:
  4.       defaultMode: 420 # decimal equivalent of octal 0644
  5.       sources:
  6.         - serviceAccountToken:
  7.             expirationSeconds: 3607
  8.             path: token
  9.         - configMap:
  10.             items:
  11.               - key: ca.crt
  12.                 path: ca.crt
  13.             name: kube-root-ca.crt
  14.         - downwardAPI:
  15.             items:
  16.               - fieldRef:
  17.                   apiVersion: v1
  18.                   fieldPath: metadata.namespace
  19.                 path: namespace

That manifest snippet defines a projected volume that combines information from three sources:

  1. A serviceAccountToken source, that contains a token that the kubelet acquires from kube-apiserver. The kubelet fetches time-bound tokens using the TokenRequest API. A token served for a TokenRequest expires either when the pod is deleted or after a defined lifespan (by default, that is 1 hour). The token is bound to the specific Pod and has the kube-apiserver as its audience.
  2. A configMap source. The ConfigMap contains a bundle of certificate authority data. Pods can use these certificates to make sure that they are connecting to your cluster’s kube-apiserver (and not to middlebox or an accidentally misconfigured peer).
  3. A downwardAPI source. This downwardAPI volume makes the name of the namespace containing the Pod available to application code running inside the Pod.

Any container within the Pod that mounts this volume can access the above information.

Create additional API tokens

Caution: Only create long-lived API tokens if the token request mechanism is not suitable. The token request mechanism provides time-limited tokens; because these expire, they represent a lower risk to information security.

To create a non-expiring, persisted API token for a ServiceAccount, create a Secret of type kubernetes.io/service-account-token with an annotation referencing the ServiceAccount. The control plane then generates a long-lived token and updates that Secret with that generated token data.

Here is a sample manifest for such a Secret:

secret/serviceaccount/mysecretname.yaml Managing Service Accounts - 图1

  1. apiVersion: v1
  2. kind: Secret
  3. type: kubernetes.io/service-account-token
  4. metadata:
  5.   name: mysecretname
  6.   annotations:
  7.     kubernetes.io/service-account.name: myserviceaccount

To create a Secret based on this example, run:

  1. kubectl -n examplens create -f https://k8s.io/examples/secret/serviceaccount/mysecretname.yaml

To see the details for that Secret, run:

  1. kubectl -n examplens describe secret mysecretname

The output is similar to:

  1. Name:           mysecretname
  2. Namespace:      examplens
  3. Labels:         <none>
  4. Annotations:    kubernetes.io/service-account.name=myserviceaccount
  5.                 kubernetes.io/service-account.uid=8a85c4c4-8483-11e9-bc42-526af7764f64
  7. Type:   kubernetes.io/service-account-token
  9. Data
  10. ====
  11. ca.crt:         1362 bytes
  12. namespace:      9 bytes
  13. token:          ...

If you launch a new Pod into the examplens namespace, it can use the myserviceaccount service-account-token Secret that you just created.

Caution: Do not reference manually created Secrets in the secrets field of a ServiceAccount. Or the manually created Secrets will be cleaned if it is not used for a long time. Please refer to auto-generated legacy ServiceAccount token clean up.

Delete/invalidate a ServiceAccount token

If you know the name of the Secret that contains the token you want to remove:

  1. kubectl delete secret name-of-secret

Otherwise, first find the Secret for the ServiceAccount.

  1. # This assumes that you already have a namespace named 'examplens'
  2. kubectl -n examplens get serviceaccount/example-automated-thing -o yaml

The output is similar to:

  1. apiVersion: v1
  2. kind: ServiceAccount
  3. metadata:
  4.   annotations:
  5.     kubectl.kubernetes.io/last-applied-configuration: |
  6.       {"apiVersion":"v1","kind":"ServiceAccount","metadata":{"annotations":{},"name":"example-automated-thing","namespace":"examplens"}}      
  7.   creationTimestamp: "2019-07-21T07:07:07Z"
  8.   name: example-automated-thing
  9.   namespace: examplens
  10.   resourceVersion: "777"
  11.   selfLink: /api/v1/namespaces/examplens/serviceaccounts/example-automated-thing
  12.   uid: f23fd170-66f2-4697-b049-e1e266b7f835
  13. secrets:
  14.   - name: example-automated-thing-token-zyxwv

Then, delete the Secret you now know the name of:

  1. kubectl -n examplens delete secret/example-automated-thing-token-zyxwv

Clean up

If you created a namespace examplens to experiment with, you can remove it:

  1. kubectl delete namespace examplens

What’s next