Authentication must be set up to take advantage of the following features in Chains:
- Pushing signatures to an OCI registry after signing an image
- Using Fulcio to get Signing Certificates when utilizing Keyless signing.
This doc will cover how to set this up!
To push to an OCI registry, the Chains controller will look for credentials in two places. The first place is in the pod executing your Task and the second place is in the service account configured to run your Task.
Set the namespace and name of the Kubernetes service account:
export NAMESPACE=<your namespace>
export SERVICE_ACCOUNT_NAME=<service account name>
If you already ran docker login
, you can copy the credentials stored in
config.json into Kubernetes.
Note: Make sure that any external credentials store, such as the native keychain of the operating system, is not used to store the credentials and the config.json is of the format:
{ "auths": { "<registry>": { "auth": "redacted" } } }
Create a secret with config.json:
kubectl create secret generic docker-registry \
--from-file=.dockerconfigjson=<path/to/.docker/config.json> \
--type=kubernetes.io/dockerconfigjson
-n $NAMESPACE
More details around creating this secret can be found here.
First, you will need access to credentials for your registry (they are in a file called credentials.json
in this example).
Next, create a Docker config type Kubernetes secret, which will contain the credentials required to push signatures:
Then, create a .dockerconfig
type secret:
kubectl create secret docker-registry registry-credentials \
--docker-server=gcr.io \
--docker-username=_json_key \
--docker-email=someemail@something.com \
--docker-password="$(cat credentials.json)" \
-n $NAMESPACE
More details around creating this secret can be found here.
Tekton supports specifying a Pod template to customize the Pod running your Task. You must supply the Pod template when starting your Task with the cli or embeddng it into your TaskRun.
An example TaskRun configured with the registry-credentials
secret.
---
apiVersion: tekton.dev/v1beta1
kind: TaskRun
metadata:
name: mytaskrun
namespace: default
spec:
taskRef:
name: mytask
podTemplate:
imagePullSecrets:
- name: registry-credentials
More details on how to modify the podTemplate for a taskRun can be found here.
Finally, give the service account access to the secret above:
kubectl patch serviceaccount $SERVICE_ACCOUNT_NAME \
-p "{\"secrets\": [{\"name\": \"registry-credentials\"}]}" -n $NAMESPACE
Now, Chains has push permissions for any TaskRuns running under the service account $SERVICE_ACCOUNT_NAME
.
The secrets in the imagePullSecrets
attribute of the ServiceAccount are also taken into account.
However, other Tekton components may not do so. The secrets
attribute is the
recommended approach.
The default deployment will work against
public Fulcio assuming it is installed into an EKS or GKE cluster. You will
just need to add the following to chains-config
ConfigMap data section in the
tekton-chains
namespace:
"signers.x509.fulcio.enabled": "true"
If you are running your own instance of Fulcio, you need to further
configure Fulcio for this. You need to additionally point Chains to your
fulcio instance by adding this to chains-config
. In this case, it's a local
k8s service, but you will need to change the URL to point to your Fulcio
instance.
"signers.x509.fulcio.address": "http://fulcio.fulcio-system.svc"
If you are using Spiffe to authenticate to Fulcio, you will need to configure
your Chains Deployment to fetch the SVID from the Spire agent. This requires
mounting the Agent socket, specifying an environmental variable (if not using
the default of /tmp/spire-agent/public/api.sock
).
For VolumeMount, replace the k8s SA token, or add if you use it for something
else the following to tekton-chains-controller
container volumeMounts section:
- name: spiffe-workload-api
mountPath: /run/spire/sockets/agent.sock
readOnly: true
Specify (if necessary) the non-default Agent socket, by adding the following
to the tekton-chains-controller
env section:
- name: SPIFFE_ENDPOINT_SOCKET
value: "/run/spire/sockets/agent.sock"
And finally, adding the volume for the Spiffe workload API by adding this
to deployment volumes
section:
- name: spiffe-workload-api
hostPath:
path: /run/spire/sockets/agent.sock
Last but not least, thanks to spiffe-csi, which is a CSI (Container Storage Interface) driver for Kubernetes that facilitates injection of the SPIFFE Workload API , there is alternative way of retrieving the Agent socket to your Pods without having to mount the hostPath
. You can read more about it here. Once you have installed spiffe-csi-driver
into your cluster by following the installation steps in the GitHub repository, the only thing that you have to do is add the following code snippet to deployment volumes
and volumeMounts
sections:
...
volumeMounts:
- name: spiffe-workload-api
mountPath: /spiffe-workload-api
readOnly: true
...
volumes:
- name: spiffe-workload-api
csi:
driver: "csi.spiffe.io"
readOnly: true