A tool for using AWS IAM credentials to authenticate to a Kubernetes cluster.
If you are an administrator running a Kubernetes cluster on AWS, you already need to manage AWS credentials for provisioning and updating the cluster. By using Heptio Authenticator for AWS, you avoid having to manage a separate credential for Kubernetes access. AWS IAM also provides a number of nice properties such as an out of band audit trail (via CloudTrail) and 2FA/MFA enforcement.
If you are building a Kubernetes installer on AWS, Heptio Authenticator for AWS can simplify your bootstrap process.
You won't need to somehow smuggle your initial admin credential securely out of your newly installed cluster.
Instead, you can create a dedicated KubernetesAdmin
role at cluster provisioning time and set up Authenticator to allow cluster administrator logins.
Assuming you have a cluster running in AWS and you want to add Heptio Authenticator for AWS support, you need to:
- Create an IAM role you'll use to identify users.
- Run the Authenticator server as a DaemonSet.
- Configure your API server to talk to Authenticator.
- Set up kubectl to use Authenticator tokens.
First, you must create one or more IAM roles that will be mapped to users/groups inside your Kubernetes cluster. The easiest way to do this is to log into the AWS Console:
- Choose the "Role for cross-account access" / "Provide access between AWS accounts you own" option.
- Paste in your AWS account ID number (available in the top right in the console).
- Your role does not need any additional policies attached.
This will create an IAM role with no permissions that can be assumed by authorized users/roles in your account. Note the Amazon Resource Name (ARN) of your role, which you will need below.
You can also do this in a single step using the AWS CLI instead of the AWS Console:
# get your account ID
ACCOUNT_ID=$(aws sts get-caller-identity --output text --query 'Account')
# define a role trust policy that opens the role to users in your account (limited by IAM policy)
POLICY=$(echo -n '{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Principal":{"AWS":"arn:aws:iam::'; echo -n "$ACCOUNT_ID"; echo -n ':root"},"Action":"sts:AssumeRole","Condition":{}}]}')
# create a role named KubernetesAdmin (will print the new role's ARN)
aws iam create-role \
--role-name KubernetesAdmin \
--description "Kubernetes administrator role (for Heptio Authenticator for AWS)." \
--assume-role-policy-document "$POLICY" \
--output text \
--query 'Role.Arn'
You can also skip this step and use:
- An existing role (such as a cross-account access role).
- An IAM user (see
mapUsers
below). - An EC2 instance or a federated role (see
mapRoles
below).
The server is meant to run on each of your master nodes as a DaemonSet with host networking so it can expose a localhost port.
For a sample ConfigMap and DaemonSet configuration, see example.yaml
.
If you're building an automated installer, you can also pre-generate the certificate, key, and webhook kubeconfig files easily using heptio-authenticator-aws init
.
This command will generate files and place them in the configured output directories.
You can run this on each master node prior to starting the API server. You could also generate them before provisioning master nodes and install them in the appropriate host paths.
If you do not pre-generate files, heptio-authenticator-aws server
will generate them on demand.
This works but requires that you restart your Kubernetes API server after installation.
The Kubernetes API integrates with Heptio Authenticator for AWS using a token authentication webhook.
When you run heptio-authenticator-aws server
, it will generate a webhook configuration file and save it onto the host filesystem.
You'll need to add a single additional flag to your API server configuration:
--authentication-token-webhook-config-file=/etc/kubernetes/heptio-authenticator-aws/kubeconfig.yaml
On many clusters, the API server runs as a static pod.
You can add the flag to /etc/kubernetes/manifests/kube-apiserver.yaml
.
Make sure the host directory /etc/kubernetes/heptio-authenticator-aws/
is mounted into your API server pod.
You may also need to restart the kubelet daemon on your master node to pick up the updated static pod definition:
systemctl restart kubelet.service
Finally, once the server is set up you'll want to authenticate!
You will still need a kubeconfig
that has the public data about your cluster (cluster CA certificate, endpoint address).
The users
section of your configuration, however, can be mostly blank:
# [...]
users:
- name: kubernetes-admin
# no client certificate/key needed here!
This means the kubeconfig
is entirely public data and can be shared across all Authenticator users.
It may make sense to upload it to a trusted public location such as AWS S3.
Make sure you have the heptio-authenticator-aws
binary installed.
You can install it with go get -u -v github.com/heptio/authenticator/cmd/heptio-authenticator-aws
.
To authenticate, run kubectl --kubeconfig /path/to/kubeconfig --token "$(heptio-authenticator-aws token -i CLUSTER_ID -r ROLE_ARN)" [...]
.
You can simplify this with an alias or shell wrapper.
The token is valid for 15 minutes (the shortest value AWS permits) and can be reused multiple times.
You can also omit -r ROLE_ARN
to sign the token with your existing credentials without assuming a dedicated role.
This is useful if you want to authenticate as an IAM user directly or if you want to authenticate using an EC2 instance role or a federated role.
It works using the AWS sts:GetCallerIdentity
API endpoint.
This endpoint returns information about whatever AWS IAM credentials you use to connect to it.
We use this API in a somewhat unusual way by having the Heptio Authenticator for AWS client generate and pre-sign a request to the endpoint. We serialize that request into a token that can pass through the Kubernetes authentication system.
The token is passed through the Kubernetes API server and into the Heptio Authenticator for AWS server's /authenticate
endpoint via a webhook configuration.
The Heptio Authenticator for AWS server validates all the parameters of the pre-signed request to make sure nothing looks funny.
It then submits the request to the real https://sts.amazonaws.com
server, which validates the client's HMAC signature and returns information about the user.
Now that the server knows the AWS identity of the client, it translates this identity into a Kubernetes user and groups via a simple static mapping.
This mechanism is borrowed with a few changes from Vault.
The Authenticator cluster ID is a unique-per-cluster identifier that prevents certain replay attacks. Specifically, it prevents one Authenticator server (e.g., in a dev environment) from using a client's token to authenticate to another Authenticator server in another cluster.
The cluster ID does need to be unique per-cluster, but it doesn't need to be a secret. Some good choices are:
- A random ID such as from
openssl rand 16 -hex
- The domain name of your Kubernetes API server
The Vault documentation also explains this attack (see X-Vault-AWS-IAM-Server-ID
).
If your client fails with an error like could not get token: AccessDenied [...]
, you can try assuming the role with the AWS CLI directly:
# AWS CLI version of `heptio-authenticator-aws token -r arn:aws:iam::ACCOUNT:role/ROLE`:
$ aws sts assume-role --role-arn arn:aws:iam::ACCOUNT:role/ROLE --role-session-name test
If that fails, there are a few possible problems to check for:
-
Make sure your base AWS credentials are available in your shell (
aws sts get-caller-identity
can help troubleshoot this). -
Make sure the target role allows your source account access (in the role trust policy).
-
Make sure your source principal (user/role/group) has an IAM policy that allows
sts:AssumeRole
for the target role. -
Make sure you don't have any explicit deny policies attached to your user, group, or in AWS Organizations that would prevent the
sts:AssumeRole
.
The client and server have the same configuration format. They can share the same exact configuration file, since there are no secrets stored in the configuration.
# a unique-per-cluster identifier to prevent replay attacks (see above)
clusterID: my-dev-cluster.example.com
# default IAM role to assume for `heptio-authenticator-aws token`
defaultRole: arn:aws:iam::000000000000:role/KubernetesAdmin
# server listener configuration
server:
# localhost port where the server will serve the /authenticate endpoint
port: 21362 # (default)
# state directory for generated TLS certificate and private keys
stateDir: /var/heptio-authenticator-aws # (default)
# output `path` where a generated webhook kubeconfig will be stored.
generateKubeconfig: /etc/kubernetes/heptio-authenticator-aws.kubeconfig # (default)
# each mapRoles entry maps an IAM role to a username and set of groups
# Each username and group can optionally contain template parameters:
# 1) "{{AccountID}}" is the 12 digit AWS ID.
# 2) "{{SessionName}}" is the role session name.
mapRoles:
# statically map arn:aws:iam::000000000000:role/KubernetesAdmin to cluster admin
- roleARN: arn:aws:iam::000000000000:role/KubernetesAdmin
username: kubernetes-admin
groups:
- system:masters
# map EC2 instances in my "KubernetesNode" role to users like
# "aws:000000000000:instance:i-0123456789abcdef0". Only use this if you
# trust that the role can only be assumed by EC2 instances. If an IAM user
# can assume this role directly (with sts:AssumeRole) they can control
# SessionName.
- roleARN: arn:aws:iam::000000000000:role/KubernetesNode
username: aws:{{AccountID}}:instance:{{SessionName}}
groups:
- system:bootstrappers
- aws:instances
# map federated users in my "KubernetesAdmin" role to users like
# "admin:alice-example.com". The SessionName is an arbitrary role name
# like an e-mail address passed by the identity provider. Note that if this
# role is assumed directly by an IAM User (not via federation), the user
# can control the SessionName.
- roleARN: arn:aws:iam::000000000000:role/KubernetesAdmin
username: admin:{{SessionName}}
groups:
- system:masters
# each mapUsers entry maps an IAM role to a static username and set of groups
mapUsers:
# map user IAM user Alice in 000000000000 to user "alice" in group "system:masters"
- userARN: arn:aws:iam::000000000000:user/Alice
username: alice
groups:
- system:masters