Repository moved to external-secrets
This project was moved from the GoDaddy to the external-secrets GitHub organization in an effort to consolidate different projects with the same objective. More information here.
Kubernetes External Secrets
Kubernetes External Secrets allows you to use external secret management systems, like AWS Secrets Manager or HashiCorp Vault, to securely add secrets in Kubernetes. Read more about the design and motivation for Kubernetes External Secrets on the GoDaddy Engineering Blog.
The community and maintainers of this project and related Kubernetes
secret management projects use
#external-secrets
channel on the Kubernetes slack for discussion and brainstorming.
How it works
The project extends the Kubernetes API by adding a ExternalSecrets
object using Custom Resource Definition and a controller to implement the behavior of the object itself.
An ExternalSecret
declares how to fetch the secret data, while the controller converts all ExternalSecrets
to Secrets
.
The conversion is completely transparent to Pods
that can access Secrets
normally.
By default Secrets
are not encrypted at rest and are open to attack, either via the etcd server or via backups of etcd data.
To mitigate this risk, use an
external secret management system with a KMS plugin
to encrypt Secrets
stored in etcd.
System architecture
ExternalSecrets
are added in the cluster (e.g.,kubectl apply -f external-secret-example.yml
)- Controller fetches
ExternalSecrets
using the Kubernetes API - Controller uses
ExternalSecrets
to fetch secret data from external providers (e.g, AWS Secrets Manager) - Controller upsert
Secrets
Pods
can accessSecrets
normally
How to use it
Install with Helm
The official helm chart can be used to create the kubernetes-external-secrets
resources and Deployment
on a Kubernetes cluster using the Helm package manager.
$ helm repo add external-secrets https://external-secrets.github.io/kubernetes-external-secrets/
$ helm install [RELEASE_NAME] external-secrets/kubernetes-external-secrets
For more details about configuration see the helm chart docs
Install with kubectl
If you don't want to install helm on your cluster and just want to use kubectl
to install kubernetes-external-secrets
, you could get the helm
client cli first and then use the following sample command to generate kubernetes manifests:
$ helm template --output-dir ./output_dir ./charts/kubernetes-external-secrets/
The generated kubernetes manifests will be in ./output_dir
and can be applied to deploy kubernetes-external-secrets
to the cluster.
Secrets Manager access
For kubernetes-external-secrets
to be able to retrieve your secrets it will need access to your secret backend.
AWS based backends
Access to AWS secrets backends (SSM & secrets manager) can be granted in various ways:
-
Granting your nodes explicit access to your secrets using the node instance role (easy for experimentation, not recommended)
-
Directly provide AWS access credentials to the
kubernetes-external-secrets
pod by environmental variables. -
Optionally configure custom endpoints using environment variables
- AWS_SM_ENDPOINT - Useful to set endpoints for FIPS compliance.
- AWS_STS_ENDPOINT - Useful to set endpoints for FIPS compliance or regional latency.
- AWS_SSM_ENDPOINT - Useful to set endpoints for FIPS compliance or custom VPC endpoint.
Using AWS access credentials
Set AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY env vars in the kubernetes-external-secrets
session/pod.
You can use envVarsFromSecret in the helm chart to create these env vars from existing k8s secrets.
Additionally, you can specify a roleArn
which will be assumed before retrieving the secret.
You can limit the range of roles which can be assumed by this particular namespace by using annotations on the namespace resource. The annotation key is configurable (see above). The annotation value is evaluated as a regular expression and tries to match the roleArn
.
kind: Namespace
metadata:
name: iam-example
annotations:
# annotation key is configurable
iam.amazonaws.com/permitted: "arn:aws:iam::123456789012:role/.*"
Add a secret
Add your secret data to your backend. For example, AWS Secrets Manager:
aws secretsmanager create-secret --name hello-service/password --secret-string "1234"
AWS Parameter Store:
aws ssm put-parameter --name "/hello-service/password" --type "String" --value "1234"
and then create a hello-service-external-secret.yml
file:
apiVersion: "kubernetes-client.io/v1"
kind: ExternalSecret
metadata:
name: hello-service
spec:
backendType: secretsManager
# optional: specify role to assume when retrieving the data
roleArn: arn:aws:iam::123456789012:role/test-role
data:
- key: hello-service/password
name: password
# optional: specify a template with any additional markup you would like added to the downstream Secret resource.
# This template will be deep merged without mutating any existing fields. For example: you cannot override metadata.name.
template:
metadata:
annotations:
cat: cheese
labels:
dog: farfel
or
apiVersion: "kubernetes-client.io/v1"
kind: ExternalSecret
metadata:
name: hello-service
spec:
backendType: systemManager
data:
- key: /hello-service/password
name: password
The following IAM policy allows a user or role to access parameters matching prod-*
.
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": "ssm:GetParameter",
"Resource": "arn:aws:ssm:us-west-2:123456789012:parameter/prod-*"
}
]
}
The IAM policy for Secrets Manager is similar (see docs):
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"secretsmanager:GetResourcePolicy",
"secretsmanager:GetSecretValue",
"secretsmanager:DescribeSecret",
"secretsmanager:ListSecretVersionIds"
],
"Resource": [
"arn:aws:secretsmanager:us-west-2:111122223333:secret:aes128-1a2b3c",
"arn:aws:secretsmanager:us-west-2:111122223333:secret:aes192-4D5e6F",
"arn:aws:secretsmanager:us-west-2:111122223333:secret:aes256-7g8H9i"
]
}
]
}
Save the file and run:
kubectl apply -f hello-service-external-secret.yml
Wait a few minutes and verify that the associated Secret
has been created:
kubectl get secret hello-service -o=yaml
The Secret
created by the controller should look like:
apiVersion: v1
kind: Secret
metadata:
name: hello-service
annotations:
cat: cheese
labels:
dog: farfel
type: Opaque
data:
password: MTIzNA==
Create secrets of other types than opaque
You can override ExternalSecret
type using template
, for example:
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: hello-docker
spec:
backendType: systemManager
template:
type: kubernetes.io/dockerconfigjson
data:
- key: /hello-service/hello-docker
name: .dockerconfigjson
Templating
Kubernetes External Secrets supports templating in ExternalSecret
using lodash.template.
Template is applied to all ExternalSecret.template
section of manifest.
Data retrieved from secure backend is available via data
variable.
Additonal object yaml
of instance of js-yaml is available in lodash
templates.
It can be leveraged for easier YAML content manipulation.
Templating can be used for:
- Generating K8S
Secret
keys:- upserting plain text via
ExternalSecret.template.stringData
- upserting base64 encoded content
ExternalSecret.template.data
- upserting plain text via
- For creating dynamic labels, annotations and other fields available in K8S
Secret
object.
To demonstrate templating functionality let's assume the secure backend, e.g. Hashicorp Vaule, contains following data
kv/extsec/secret1 | kv/extsec/secret2 |
---|---|
{
"intKey": 11,
"objKey": {
"strKey": "hello world"
}
} |
{
"arrKey": [1, 2, 3]
} |
Then, one could create following ExternalSecret
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: tmpl-ext-sec
spec:
backendType: vault
data:
- key: kv/data/extsec/secret1
name: s1
- key: kv/data/extsec/secret2
name: s2
kvVersion: 2
template:
data:
file.txt: |
<%= Buffer.from(JSON.stringify(JSON.parse(data.s1).objKey)).toString("base64") %>
metadata:
labels:
label1: <%= JSON.parse(data.s1).intKey %>
label2: <%= JSON.parse(data.s1).objKey.strKey.replace(" ", "-") %>
stringData:
file.yaml: |
<%= yaml.dump(JSON.parse(data.s1)) %>
<% let s2 = JSON.parse(data.s2) %><% s2.arrKey.forEach((e, i) => { %>arr_<%= i %>: <%= e %>
<% }) %>`
vaultMountPoint: kubernetes
vaultRole: demo
After applying this ExternalSecret
to K8S cluster, the operator will generate following Secret
apiVersion: v1
data:
file.txt: eyJzdHJLZXkiOiJoZWxsbyB3b3JsZCJ9
file.yaml: aW50S2V5OiAxMQpvYmpLZXk6CiAgc3RyS2V5OiBoZWxsbyB3b3JsZAoKYXJyXzA6IDEKYXJyXzE6IDIKYXJyXzI6IDMKYAo=
s1: eyJpbnRLZXkiOjExLCJvYmpLZXkiOnsic3RyS2V5IjoiaGVsbG8gd29ybGQifX0=
s2: eyJhcnJLZXkiOlsxLDIsM119
kind: Secret
metadata:
name: tmpl-ext-sec
labels:
label1: "11"
label2: hello-world
type: Opaque
Resulting Secret
could be inspected to see that result is generated by lodash
templating engine
$ kubectl get secret/tmpl-ext-sec -ogo-template='{{ index .data "s1" | base64decode }}'
{"intKey":11,"objKey":{"strKey":"hello world"}}
$ kubectl get secret/tmpl-ext-sec -ogo-template='{{ index .data "s2" | base64decode }}'
{"arrKey":[1,2,3]}
$ kubectl get secret/tmpl-ext-sec -ogo-template='{{ index .data "file.txt" | base64decode }}'
{"strKey":"hello world"}
$ kubectl get secret/tmpl-ext-sec -ogo-template='{{ index .data "file.yaml" | base64decode }}'
intKey: 11
objKey:
strKey: hello world
arr_0: 1
arr_1: 2
arr_2: 3
$ kubectl get secret/tmpl-ext-sec -ogo-template='{{ .metadata.labels }}'
map[label1:11 label2:hello-world]
Scoping access
Using Namespace annotation
Enforcing naming conventions for backend keys could be done by using namespace annotations.
By default an ExternalSecret
may access arbitrary keys from the backend e.g.
data:
- key: /dev/cluster1/core-namespace/hello-service/password
name: password
An enforced naming convention helps to keep the structure tidy and limits the access according to your naming schema.
Configure the schema as regular expression in the namespace using an annotation.
This allows ExternalSecrets
in core-namespace
just to access secrets that start with
/dev/cluster1/core-namespace/
:
kind: Namespace
metadata:
name: core-namespace
annotations:
# annotation key is configurable
externalsecrets.kubernetes-client.io/permitted-key-name: "/dev/cluster1/core-namespace/.*"
Using ExternalSecret controller config
ExternalSecret config allows scoping the access of kubernetes-external-secrets controller. This allows to deploy multi kubernetes-external-secrets instances in the same cluster and each instance can access a set of predefined namespaces.
To enable this option, set the env var in the controller side with a list of namespaces:
env:
WATCHED_NAMESPACES: "default,qa,dev"
Using ExternalSecret config
ExternalSecret manifest allows scoping the access of kubernetes-external-secrets controller. This allows to deploy multi kubernetes-external-secrets instances at the same cluster and each instance can access a set of ExternalSecrets.
To enable this option, set the env var in the controller side:
env:
INSTANCE_ID: "dev-team-instance"
And in ExternalSecret side:
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: foo
spec:
controllerId: 'dev-team-instance'
[...]
Please note
Scoping access by ExternalSecret config provides only a logical separation and it doesn't cover the security aspects. i.e it assumes that the security side is managed by another component like Kubernetes Network policies or Open Policy Agent.
Deprecations
A few properties has changed name overtime, we still maintain backwards compatbility with these but they will eventually be removed, and they are not validated using the CRD validation.
Old | New |
---|---|
secretDescriptor |
spec |
spec.type |
spec.template.type |
spec.properties |
spec.data |
backendType: secretManager |
backendType: secretsManager |
Backends
kubernetes-external-secrets supports AWS Secrets Manager, AWS System Manager, Hashicorp Vault, Azure Key Vault, Google Secret Manager and Alibaba Cloud KMS Secret Manager.
AWS Secrets Manager
kubernetes-external-secrets supports both JSON objects ("Secret key/value" in the AWS console) or strings ("Plaintext" in the AWS console). Using JSON objects is useful when you need to atomically update multiple values. For example, when rotating a client certificate and private key.
When writing an ExternalSecret for a JSON object you must specify the properties to use. For example, if we add our hello-service credentials as a single JSON object:
aws secretsmanager create-secret --region us-west-2 --name hello-service/credentials --secret-string '{"username":"admin","password":"1234"}'
We can declare which properties we want from hello-service/credentials:
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: hello-service
spec:
backendType: secretsManager
# optional: specify role to assume when retrieving the data
roleArn: arn:aws:iam::123456789012:role/test-role
# optional: specify region
region: us-east-1
data:
- key: hello-service/credentials
name: password
property: password
- key: hello-service/credentials
name: username
property: username
- key: hello-service/credentials
name: password_previous
# Version Stage in Secrets Manager
versionStage: AWSPREVIOUS
property: password
- key: hello-service/credentials
name: password_versioned
# Version ID in Secrets Manager
versionId: xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
property: password
alternatively you can use dataFrom
and get all the values from hello-service/credentials:
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: hello-service
spec:
backendType: secretsManager
# optional: specify role to assume when retrieving the data
roleArn: arn:aws:iam::123456789012:role/test-role
# optional: specify region
region: us-east-1
dataFrom:
- hello-service/credentials
data
and dataFrom
can of course be combined, any naming conflicts will use the last defined, with data
overriding dataFrom
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: hello-service
spec:
backendType: secretsManager
# optional: specify role to assume when retrieving the data
roleArn: arn:aws:iam::123456789012:role/test-role
# optional: specify region
region: us-east-1
dataFrom:
- hello-service/credentials
data:
- key: hello-service/migration-credentials
name: password
property: password
AWS SSM Parameter Store
You can scrape values from SSM Parameter Store individually or by providing a path to fetch all keys inside.
Additionally you can also scrape all sub paths (child paths) if you need to. The default is not to scrape child paths
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: hello-service
spec:
backendType: systemManager
# optional: specify role to assume when retrieving the data
roleArn: arn:aws:iam::123456789012:role/test-role
# optional: specify region
region: us-east-1
data:
- key: /foo/name
name: fooName
- path: /extra-people/
recursive: false
Hashicorp Vault
kubernetes-external-secrets supports fetching secrets from Hashicorp Vault, using the Kubernetes authentication method.
env:
VAULT_ADDR: https://vault.domain.tld
DEFAULT_VAULT_MOUNT_POINT: "k8s-auth" # optional, default value to be used if not specified in the ExternalSecret
DEFAULT_VAULT_ROLE: "k8s-auth-role" # optional, default value to be used if not specified in the ExternalSecret
You will need to set the VAULT_ADDR
environment variables so that kubernetes-external-secrets knows which endpoint to connect to, then create ExternalSecret
definitions as follows:
apiVersion: "kubernetes-client.io/v1"
kind: ExternalSecret
metadata:
name: hello-vault-service
spec:
backendType: vault
# Your authentication mount point, e.g. "kubernetes"
# Overrides cluster DEFAULT_VAULT_MOUNT_POINT
vaultMountPoint: my-kubernetes-vault-mount-point
# The vault role that will be used to fetch the secrets
# This role will need to be bound to kubernetes-external-secret's ServiceAccount; see Vault's documentation:
# https://www.vaultproject.io/docs/auth/kubernetes.html
# Overrides cluster DEFAULT_VAULT_ROLE
vaultRole: my-vault-role
data:
- name: password
# The full path of the secret to read, as in `vault read secret/data/hello-service/credentials`
key: secret/data/hello-service/credentials
property: password
# Vault values are matched individually. If you have several keys in your Vault secret, you will need to add them all separately
- name: api-key
key: secret/data/hello-service/credentials
property: api-key
If you use Vault Namespaces (a Vault Enterprise feature) you can set the namespace to interact with via the VAULT_NAMESPACE
environment variable.
The Vault token obtained by Kubernetes authentication will be renewed as needed. By default the token will be renewed three poller intervals (POLLER_INTERVAL_MILLISECONDS) before the token TTL expires. The default should be acceptable in most cases but the token renew threshold can also be customized by setting the VAULT_TOKEN_RENEW_THRESHOLD
environment variable. The token renew threshold value is specified in seconds and tokens with remaining TTL less than this number of seconds will be renewed. In order to minimize token renewal load on the Vault server it is suggested that Kubernetes auth tokens issued by Vault have a TTL of at least ten times the poller interval so that they are renewed less frequently. A longer token TTL results in a lower token renewal load on Vault.
If Vault uses a certificate issued by a self-signed CA you will need to provide that certificate:
# Create secret with CA
kubectl create secret generic vault-ca --from-file=./ca.pem
# values.yaml
env:
VAULT_ADDR: https://vault.domain.tld
NODE_EXTRA_CA_CERTS: "/usr/local/share/ca-certificates/ca.pem"
filesFromSecret:
certificate-authority:
secret: vault-ca
mountPath: /usr/local/share/ca-certificates
Azure Key Vault
kubernetes-external-secrets supports fetching secrets from Azure Key vault
You will need to set these env vars in the deployment of kubernetes-external-secrets:
- AZURE_TENANT_ID
- AZURE_CLIENT_ID
- AZURE_CLIENT_SECRET The SP configured will require get and list access policies on the AZURE_KEYVAULT_NAME.
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: hello-keyvault-service
spec:
backendType: azureKeyVault
keyVaultName: hello-world
data:
- key: hello-service/credentials
name: password
Alibaba Cloud KMS Secret Manager
kubernetes-external-secrets supports fetching secrets from Alibaba Cloud KMS Secret Manager
create secret by using the aliyun-cli command below:
# you need to configure aliyun-cli with a valid RAM user and proper permission
aliyun kms CreateSecret --SecretName my_secret --SecretData P@ssw0rd --VersionId 001
You will need to set these env vars in the deployment of kubernetes-external-secrets:
- ALICLOUD_ACCESS_KEY_ID
- ALICLOUD_ACCESS_KEY_SECRET
- ALICLOUD_ENDPOINT
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: hello-service
spec:
backendType: alicloudSecretsManager
# optional: specify role to assume using provided access key ID and access key secret when retrieving the data
roleArn: acs:ram::{UID}:role/demo
data:
- key: hello-credentials1
name: password
- key: hello-credentials2
name: username
# Version Stage in Alibaba Cloud KMS Secrets Manager. Optional, default value is ACSCurrent
versionStage: ACSCurrent
GCP Secret Manager
kubernetes-external-secrets supports fetching secrets from GCP Secret Manager
The external secret will poll for changes to the secret according to the value set for POLLER_INTERVAL_MILLISECONDS in env. Depending on the time interval this is set to you may incur additional charges as Google Secret Manager charges per a set number of API calls.
A service account is required to grant the controller access to pull secrets.
Add a secret
Add your secret data to your backend using GCP SDK :
echo -n '{"value": "my-secret-value"}' | gcloud secrets create my-gsm-secret-name --replication-policy="automatic" --data-file=-
If the secret needs to be updated :
echo -n '{"value": "my-secret-value-with-update"}' | gcloud secrets versions add my-gsm-secret-name --data-file=-
Deploy kubernetes-external-secrets using Workload Identity
Instructions are here: Enable Workload Identity. To enable workload identity on an existing cluster (which is not covered in that document), first enable it on the cluster like so:
gcloud container clusters update $CLUSTER_NAME --workload-pool=$PROJECT_NAME.svc.id.goog
Next enable workload metadata config on the node pool in which the pod will run:
gcloud beta container node-pools update $POOL --cluster $CLUSTER_NAME --workload-metadata-from-node=GKE_METADATA_SERVER
If enabling it only for a particular pool, make sure to add any relevant tolerations or affinities:
tolerations:
- key: "name"
operator: "Equal"
effect: "NoExecute"
value: "node-pool-taint"
- key: "name"
operator: "Equal"
effect: "NoSchedule"
value: "node-pool-taint"
affinity:
nodeAffinity:
requiredDuringSchedulingIgnoredDuringExecution:
nodeSelectorTerms:
- matchExpressions:
- key: cloud.google.com/gke-nodepool
operator: In
values:
- node-pool
You can add an annotation which is needed for workload identity by passing it in via Helm:
serviceAccount:
annotations:
iam.gke.io/gcp-service-account: my-secrets-sa@$PROJECT.iam.gserviceaccount.com
Create the policy binding:
gcloud iam service-accounts add-iam-policy-binding --role roles/iam.workloadIdentityUser --member "serviceAccount:$CLUSTER_PROJECT.svc.id.goog[$SECRETS_NAMESPACE/kubernetes-external-secrets]" my-secrets-sa@$PROJECT.iam.gserviceaccount.com
Deploy kubernetes-external-secrets using a service account key
Alternatively you can create and mount a kubernetes secret containing google service account credentials and set the GOOGLE_APPLICATION_CREDENTIALS env variable.
Create a Kubernetes secret called gcp-creds with a JSON keyfile from a service account with necessary credentials to access the secrets:
apiVersion: v1
kind: Secret
metadata:
name: mysecret
type: Opaque
stringData:
gcp-creds.json: |-
$KEYFILE_CONTENT
Uncomment GOOGLE_APPLICATION_CREDENTIALS in the values file as well as the following section:
env:
AWS_REGION: us-west-2
POLLER_INTERVAL_MILLISECONDS: 10000 # Caution, setting this frequency may incur additional charges on some platforms
LOG_LEVEL: info
METRICS_PORT: 3001
VAULT_ADDR: http://127.0.0.1:8200
GOOGLE_APPLICATION_CREDENTIALS: /app/gcp-creds/gcp-creds.json
filesFromSecret:
gcp-creds:
secret: gcp-creds
mountPath: /app/gcp-creds
This will mount the secret at /app/gcp-creds/gcp-creds.json and make it available via the GOOGLE_APPLICATION_CREDENTIALS environment variable.
IBM Cloud Secrets Manager
kubernetes-external-secrets supports fetching secrets from IBM Cloud Secrets Manager
create username_password secret by using the ui, cli or API. The cli option is illustrated below:
# you need to configure ibm cloud cli with a valid endpoint
export IBM_CLOUD_SECRETS_MANAGER_API_URL=https://{instanceid}.{region}.secrets-manager.appdomain.cloud
ibmcloud secrets-manager secret-create --secret-type username_password \
--metadata '{"collection_type": "application/vnd.ibm.secrets-manager.secret+json", "collection_total": 1}' \
--resources '[{"name": "example-username-password-secret","description": "Extended description for my secret.","username": "user123","password": "cloudy-rainy-coffee-book"}]'
You will need to set these env vars in the deployment of kubernetes-external-secrets:
- IBM_CLOUD_SECRETS_MANAGER_API_APIKEY
- IBM_CLOUD_SECRETS_MANAGER_API_ENDPOINT
- IBM_CLOUD_SECRETS_MANAGER_API_AUTH_TYPE
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: ibmcloud-secrets-manager-example
spec:
backendType: ibmcloudSecretsManager
data:
# The guid id of the secret
- key: <guid>
name: username
property: username
secretType: username_password
Usage
Once you have kubernetes-external-secrets installed, you can create an external secret with YAML like the following:
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: gcp-secrets-manager-example # name of the k8s external secret and the k8s secret
spec:
backendType: gcpSecretsManager
projectId: my-gsm-secret-project
data:
- key: my-gsm-secret-name # name of the GCP secret
name: my-kubernetes-secret-name # key name in the k8s secret
version: latest # version of the GCP secret
property: value # name of the field in the GCP secret
The field "key" is the name of the secret in Google Secret Manager. The field "name" is the name of the Kubernetes secret this external secret will generate. The metadata "name" field is the name of the external secret in Kubernetes.
To retrieve external secrets, you can use the following command:
kubectl get externalsecrets -n $NAMESPACE
To retrieve the secrets themselves, you can use the regular:
kubectl get secrets -n $NAMESPACE
To retrieve an individual secret's content, use the following where "mysecret" is the key to the secret content under the "data" field:
kubectl get secret my-secret -o 'go-template={{index .data "mysecret"}}' | base64 -D
The secrets will persist even if the helm installation is removed, although they will no longer sync to Google Secret Manager.
Binary Secrets
Most backends do not treat binary secrets any differently than text secrets. Since you typically store a binary secret as a base64-encoded string in the backend, you need to explicitly let the ExternalSecret know that the secret is binary, otherwise it will be encoded in base64 again.
You can do that with the isBinary
field on the key. This is necessary for certificates and other secret binary files.
apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
name: hello-service
spec:
backendType: anySupportedBackend
# ...
data:
- key: hello-service/archives/secrets_zip
name: secrets.zip
isBinary: true # Default: false
# also works with `property`
- key: hello-service/certificates
name: cert.p12
property: cert.p12
isBinary: true
AWS Secrets Manager is a notable exception to this. If you create/update a secret using SecretBinary parameter of the API, then AWS API will return the secret data as SecretBinary
in the response and ExternalSecret will handle it accordingly. In that case, you do not need to use the isBinary
field.
Note that SecretBinary
parameter is not available when using the AWS Secrets Manager console. For any binary secrets (represented by a base64-encoded strings) created/updated via the AWS console, or stored in key-value pairs instead of text strings, you can just use the isBinary
field explicitly as above.
Metrics
kubernetes-external-secrets exposes the following metrics over a prometheus endpoint:
Metric | Type | Description | Example |
---|---|---|---|
kubernetes_external_secrets_sync_calls_count |
Counter | Number of sync operations by backend, secret name and status | kubernetes_external_secrets_sync_calls_count{name="foo",namespace="example",backend="foo",status="success"} 1 |
kubernetes_external_secrets_last_sync_call_state |
Gauge | State of last sync call of external secert, where -1 means the last sync_call was an error and 1 means the last sync_call was a success | kubernetes_external_secrets_last_sync_call_state{name="foo",namespace="example",backend="foo"} 1 |
Development
Minikube is a tool that makes it easy to run a Kubernetes cluster locally.
Start minikube and the daemon. This creates the CustomerResourceDefinition
, and starts to process ExternalSecrets
:
minikube start
npm run nodemon
Development with localstack
Localstack mocks AWS services locally so you can test without connecting to AWS.
Run localstack in a seperate terminal window
npm run localstack
Start minikube as above
minikube start
Run the daemon with localstack
npm run local
Add secrets using the AWS cli (example)
AWS_ACCESS_KEY_ID=foobar AWS_SECRET_ACCESS_KEY=foobar aws --region=us-west-2 --endpoint-url=http://localhost:4584 secretsmanager create-secret --name hello-service/password --secret-string "1234"
Related projects
khcheck-external-secrets
khcheck-external-secrets is a kuberhealthy check that monitors if the external secrets operator is functional.