Deprecated

This project has been deprecated. Please take a look at ESO (External Secrets Operator) instead https://github.com/external-secrets/external-secrets

History

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 the #external-secrets channel on the Kubernetes slack for discussion and brainstorming.

How it works

The project extends the Kubernetes API by adding an 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 upserts Secrets
Pods can access Secrets 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 --include-crds --output-dir ./output_dir external-secrets/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:

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 sections of the manifest. Data retrieved from secure backend is available via the 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
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 Vault, contains the following data

kv/extsec/secret1	kv/extsec/secret2
{ "intKey": 11, "objKey": { "strKey": "hello world" } }	{ "arrKey": [1, 2, 3] }

Then, one could create the 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 the 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 a regular expression in the namespace using an annotation. This allows ExternalSecrets in core-namespace only access to 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 deployment of multiple 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 to 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 deployment of multiple 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 have 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, Akeyless, 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

dataFrom by default retrieves the latest (AWSCURRENT) version of the backend secret, if you want to get values in bulk of a specific version, you can use dataFromWithOptions:

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
  dataFromWithOptions:
    - key: hello-service/credentials
      versionStage: AWSPREVIOUS
    - key: hello-service/credentials
      versionId: xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx

data, dataFrom and dataFromWithOptions can of course be combined, any naming conflicts will use the last defined.
In the below example data takes precedence over dataFromWithOptions and 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
  dataFromWithOptions:
    - key: hello-service/credentials
      versionId: xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx
  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.

When fetching all keys by path, you can also recursively scrape all the 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

data and dataFrom retrieve the latest version of the parameter by default. If you want to get values for a specific version, you can append the version number to the key:

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
  dataFrom:
    - hello-service/credentials:3
  data:
    - key: /foo/name
      name: fooName:5

Akeyless Vault

kubernetes-external-secrets supports fetching secrets from Akeyless Vault, . You will need to set the following environment variables:

env:
  #akeyless rest-v2 endpoint 
  AKEYLESS_API_ENDPOINT:  https://api.akeyless.io 
  AKEYLESS_ACCESS_ID: 
  #AKEYLESS_ACCESS_TYPE can be one of the following: aws_iam/azure_ad/gcp/access_key
  AKEYLESS_ACCESS_TYPE: 
  #AKEYLESS_ACCESS_TYPE_PARAM can be one of the following: gcp-audience/azure-obj-id/access-key
  #AKEYLESS_ACCESS_TYPE_PARAM:

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: hello-secret
spec:
  backendType: akeyless
  data:
    - key: path/secret-name
      name: password

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

Grant GCP service account access to secrets:

gcloud projects add-iam-policy-binding $PROJECT_ID --member=serviceAccount:my-secrets-sa@$PROJECT.iam.gserviceaccount.com --role=roles/secretmanager.secretAccessor

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.

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.

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.
# If you're using plug-in version 0.0.8 or later, export the following variable.
export SECRETS_MANAGER_URL=https://{instanceid}.{region}.secrets-manager.appdomain.cloud

# If you're using plug-in version 0.0.6 or earlier, export the following variable.
export IBM_CLOUD_SECRETS_MANAGER_API_URL=https://{instance_ID}.{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

Alternately, you can use keyByName on the spec to interpret keys as secret names, instead of IDs. Using names is slightly less efficient than using IDs, but it makes your ExternalSecrets more robust, as they are not tied to a particular instance of a secret in a particular instance of Secrets Manager:

apiVersion: kubernetes-client.io/v1
kind: ExternalSecret
metadata:
  name: ibmcloud-secrets-manager-example
spec:
  backendType: ibmcloudSecretsManager
  keyByName: true
  data:
    # The name of the secret
    - key: my-creds
      name: username
      property: username
      secretType: username_password

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 separate 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.

License

tho93/kubernetes-external-secrets

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