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infisical/docs/integrations/platforms/kubernetes/infisical-secret-crd.mdx

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---
sidebarTitle: "InfisicalSecret CRD"
title: "Using the InfisicalSecret CRD"
description: "Learn how to use the InfisicalSecret CRD to fetch secrets from Infisical and store them as native Kubernetes secret resource"
---
Once you have installed the operator to your cluster, you'll need to create a `InfisicalSecret` custom resource definition (CRD).
```yaml example-infisical-secret-crd.yaml
apiVersion: secrets.infisical.com/v1alpha1
kind: InfisicalSecret
metadata:
name: infisicalsecret-sample
labels:
label-to-be-passed-to-managed-secret: sample-value
annotations:
example.com/annotation-to-be-passed-to-managed-secret: "sample-value"
spec:
hostAPI: https://app.infisical.com/api
resyncInterval: 10
authentication:
# Make sure to only have 1 authentication method defined, serviceToken/universalAuth.
# If you have multiple authentication methods defined, it may cause issues.
# (Deprecated) Service Token Auth
serviceToken:
serviceTokenSecretReference:
secretName: service-token
secretNamespace: default
secretsScope:
envSlug: <env-slug>
secretsPath: <secrets-path>
recursive: true
# Universal Auth
universalAuth:
secretsScope:
projectSlug: new-ob-em
envSlug: dev # "dev", "staging", "prod", etc..
secretsPath: "/" # Root is "/"
recursive: true # Whether or not to use recursive mode (Fetches all secrets in an environment from a given secret path, and all folders inside the path) / defaults to false
credentialsRef:
secretName: universal-auth-credentials
secretNamespace: default
# Native Kubernetes Auth
kubernetesAuth:
identityId: <machine-identity-id>
serviceAccountRef:
name: <service-account-name>
namespace: <service-account-namespace>
# secretsScope is identical to the secrets scope in the universalAuth field in this sample.
secretsScope:
projectSlug: your-project-slug
envSlug: prod
secretsPath: "/path"
recursive: true
# AWS IAM Auth
awsIamAuth:
identityId: <your-machine-identity-id>
# secretsScope is identical to the secrets scope in the universalAuth field in this sample.
secretsScope:
projectSlug: your-project-slug
envSlug: prod
secretsPath: "/path"
recursive: true
# Azure Auth
azureAuth:
identityId: <your-machine-identity-id>
resource: https://management.azure.com/&client_id=CLIENT_ID # (Optional) This is the Azure resource that you want to access. For example, "https://management.azure.com/". If no value is provided, it will default to "https://management.azure.com/"
# secretsScope is identical to the secrets scope in the universalAuth field in this sample.
secretsScope:
projectSlug: your-project-slug
envSlug: prod
secretsPath: "/path"
recursive: true
# GCP ID Token Auth
gcpIdTokenAuth:
identityId: <your-machine-identity-id>
# secretsScope is identical to the secrets scope in the universalAuth field in this sample.
secretsScope:
projectSlug: your-project-slug
envSlug: prod
secretsPath: "/path"
recursive: true
# GCP IAM Auth
gcpIamAuth:
identityId: <your-machine-identity-id>
# secretsScope is identical to the secrets scope in the universalAuth field in this sample.
secretsScope:
projectSlug: your-project-slug
envSlug: prod
secretsPath: "/path"
recursive: true
managedSecretReference:
secretName: managed-secret
secretNamespace: default
creationPolicy: "Orphan" ## Owner | Orphan
# template:
# includeAllSecrets: true
# data:
# CUSTOM_KEY: "{{ .KEY.SecretPath }} {{ .KEY.Value }}"
# secretType: kubernetes.io/dockerconfigjson
```
### InfisicalSecret CRD properties
<Accordion title="hostAPI">
If you are fetching secrets from a self-hosted instance of Infisical set the value of `hostAPI` to
` https://your-self-hosted-instace.com/api`
When `hostAPI` is not defined the operator fetches secrets from Infisical Cloud.
<Accordion title="Advanced use case">
If you have installed your Infisical instance within the same cluster as the Infisical operator, you can optionally access the Infisical backend's service directly without having to route through the public internet.
To achieve this, use the following address for the hostAPI field:
``` bash
http://<backend-svc-name>.<namespace>.svc.cluster.local:4000/api
```
Make sure to replace `<backend-svc-name>` and `<namespace>` with the appropriate values for your backend service and namespace.
</Accordion>
</Accordion>
<Accordion title="resyncInterval">
This property defines the time in seconds between each secret re-sync from
Infisical. Shorter time between re-syncs will require higher rate limits only
available on paid plans. Default re-sync interval is every 1 minute.
</Accordion>
<Accordion title="tls">
This block defines the TLS settings to use for connecting to the Infisical
instance.
</Accordion>
<Accordion title="tls.caRef">
This block defines the reference to the CA certificate to use for connecting
to the Infisical instance with SSL/TLS.
</Accordion>
<Accordion title="tls.caRef.secretName">
The name of the Kubernetes secret containing the CA certificate to use for
connecting to the Infisical instance with SSL/TLS.
</Accordion>
<Accordion title="tls.caRef.secretNamespace">
The namespace of the Kubernetes secret containing the CA certificate to use
for connecting to the Infisical instance with SSL/TLS.
</Accordion>
<Accordion title="tls.caRef.key">
The name of the key in the Kubernetes secret which contains the value of the
CA certificate to use for connecting to the Infisical instance with SSL/TLS.
</Accordion>
<Accordion title="authentication">
This block defines the method that will be used to authenticate with Infisical
so that secrets can be fetched
</Accordion>
<Accordion title="authentication.universalAuth">
The universal machine identity authentication method is used to authenticate with Infisical. The client ID and client secret needs to be stored in a Kubernetes secret. This block defines the reference to the name and namespace of secret that stores these credentials.
<Steps>
<Step title="Create a machine identity">
You need to create a machine identity, and give it access to the project(s) you want to interact with. You can [read more about machine identities here](/documentation/platform/identities/universal-auth).
</Step>
<Step title="Create Kubernetes secret containing machine identity credentials">
Once you have created your machine identity and added it to your project(s), you will need to create a Kubernetes secret containing the identity credentials.
To quickly create a Kubernetes secret containing the identity credentials, you can run the command below.
Make sure you replace `<your-identity-client-id>` with the identity client ID and `<your-identity-client-secret>` with the identity client secret.
``` bash
kubectl create secret generic universal-auth-credentials --from-literal=clientId="<your-identity-client-id>" --from-literal=clientSecret="<your-identity-client-secret>"
```
</Step>
<Step title="Add reference for the Kubernetes secret containing the identity credentials">
Once the secret is created, add the `secretName` and `secretNamespace` of the secret that was just created under `authentication.universalAuth.credentialsRef` field in the InfisicalSecret resource.
</Step>
</Steps>
<Info>
Make sure to also populate the `secretsScope` field with the project slug
_`projectSlug`_, environment slug _`envSlug`_, and secrets path
_`secretsPath`_ that you want to fetch secrets from. Please see the example
below.
</Info>
## Example
```yaml
apiVersion: secrets.infisical.com/v1alpha1
kind: InfisicalSecret
metadata:
name: infisicalsecret-sample-crd
spec:
authentication:
universalAuth:
secretsScope:
projectSlug: <project-slug> # <-- project slug
envSlug: <env-slug> # "dev", "staging", "prod", etc..
secretsPath: "<secrets-path>" # Root is "/"
credentialsRef:
secretName: universal-auth-credentials # <-- name of the Kubernetes secret that stores our machine identity credentials
secretNamespace: default # <-- namespace of the Kubernetes secret that stores our machine identity credentials
...
```
</Accordion>
<Accordion title="authentication.kubernetesAuth">
The Kubernetes machine identity authentication method is used to authenticate with Infisical. The identity ID is stored in a field in the InfisicalSecret resource. This authentication method can only be used within a Kubernetes environment.
<Steps>
<Step title="Obtaining the token reviewer JWT for Infisical">
1.1. Start by creating a service account in your Kubernetes cluster that will be used by Infisical to authenticate with the Kubernetes API Server.
```yaml infisical-service-account.yaml
apiVersion: v1
kind: ServiceAccount
metadata:
name: infisical-auth
namespace: default
```
```
kubectl apply -f infisical-service-account.yaml
```
1.2. Bind the service account to the `system:auth-delegator` cluster role. As described [here](https://kubernetes.io/docs/reference/access-authn-authz/rbac/#other-component-roles), this role allows delegated authentication and authorization checks, specifically for Infisical to access the [TokenReview API](https://kubernetes.io/docs/reference/kubernetes-api/authentication-resources/token-review-v1/). You can apply the following configuration file:
```yaml cluster-role-binding.yaml
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRoleBinding
metadata:
name: role-tokenreview-binding
namespace: default
roleRef:
apiGroup: rbac.authorization.k8s.io
kind: ClusterRole
name: system:auth-delegator
subjects:
- kind: ServiceAccount
name: infisical-auth
namespace: default
```
```
kubectl apply -f cluster-role-binding.yaml
```
1.3. Next, create a long-lived service account JWT token (i.e. the token reviewer JWT token) for the service account using this configuration file for a new `Secret` resource:
```yaml service-account-token.yaml
apiVersion: v1
kind: Secret
type: kubernetes.io/service-account-token
metadata:
name: infisical-auth-token
annotations:
kubernetes.io/service-account.name: "infisical-auth"
```
```
kubectl apply -f service-account-token.yaml
```
1.4. Link the secret in step 1.3 to the service account in step 1.1:
```bash
kubectl patch serviceaccount infisical-auth -p '{"secrets": [{"name": "infisical-auth-token"}]}' -n default
```
1.5. Finally, retrieve the token reviewer JWT token from the secret.
```bash
kubectl get secret infisical-auth-token -n default -o=jsonpath='{.data.token}' | base64 --decode
```
Keep this JWT token handy as you will need it for the **Token Reviewer JWT** field when configuring the Kubernetes Auth authentication method for the identity in step 2.
</Step>
<Step title="Creating an identity">
To create an identity, head to your Organization Settings > Access Control > Machine Identities and press **Create identity**.
![identities organization](/images/platform/identities/identities-org.png)
When creating an identity, you specify an organization level [role](/documentation/platform/role-based-access-controls) for it to assume; you can configure roles in Organization Settings > Access Control > Organization Roles.
![identities organization create](/images/platform/identities/identities-org-create.png)
Now input a few details for your new identity. Here's some guidance for each field:
- Name (required): A friendly name for the identity.
- Role (required): A role from the **Organization Roles** tab for the identity to assume. The organization role assigned will determine what organization level resources this identity can have access to.
Once you've created an identity, you'll be prompted to configure the authentication method for it. Here, select **Kubernetes Auth**.
<Info>
To learn more about each field of the Kubernetes native authentication method, see step 2 of [guide](/documentation/platform/identities/kubernetes-auth#guide).
</Info>
![identities organization create auth method](/images/platform/identities/identities-org-create-kubernetes-auth-method.png)
</Step>
<Step title="Adding an identity to a project">
To allow the operator to use the given identity to access secrets, you will need to add the identity to project(s) that you would like to grant it access to.
To do this, head over to the project you want to add the identity to and go to Project Settings > Access Control > Machine Identities and press **Add identity**.
Next, select the identity you want to add to the project and the project level role you want to allow it to assume. The project role assigned will determine what project level resources this identity can have access to.
![identities project](/images/platform/identities/identities-project.png)
![identities project create](/images/platform/identities/identities-project-create.png)
</Step>
<Step title="Add your identity ID & service account to your InfisicalSecret resource">
Once you have created your machine identity and added it to your project(s), you will need to add the identity ID to your InfisicalSecret resource.
In the `authentication.kubernetesAuth.identityId` field, add the identity ID of the machine identity you created.
See the example below for more details.
</Step>
<Step title="Add your Kubernetes service account token to the InfisicalSecret resource">
Add the service account details from the previous steps under `authentication.kubernetesAuth.serviceAccountRef`.
Here you will need to enter the name and namespace of the service account.
The example below shows a complete InfisicalSecret resource with all required fields defined.
</Step>
</Steps>
<Info>
Make sure to also populate the `secretsScope` field with the project slug
_`projectSlug`_, environment slug _`envSlug`_, and secrets path
_`secretsPath`_ that you want to fetch secrets from. Please see the example
below.
</Info>
## Example
```yaml example-kubernetes-auth.yaml
apiVersion: secrets.infisical.com/v1alpha1
kind: InfisicalSecret
metadata:
name: infisicalsecret-sample-crd
spec:
authentication:
kubernetesAuth:
identityId: <machine-identity-id>
serviceAccountRef:
name: <service-account-name>
namespace: <service-account-namespace>
# secretsScope is identical to the secrets scope in the universalAuth field in this sample.
secretsScope:
projectSlug: your-project-slug
envSlug: prod
secretsPath: "/path"
recursive: true
...
```
</Accordion>
<Accordion title="authentication.awsIamAuth">
The AWS IAM machine identity authentication method is used to authenticate with Infisical. The identity ID is stored in a field in the InfisicalSecret resource. This authentication method can only be used within an AWS environment like an EC2 or a Lambda function.
<Steps>
<Step title="Create a machine identity">
You need to create a machine identity, and give it access to the project(s) you want to interact with. You can [read more about AWS machine identities here](/documentation/platform/identities/aws-auth).
</Step>
<Step title="Add your identity ID to your InfisicalSecret resource">
Once you have created your machine identity and added it to your project(s), you will need to add the identity ID to your InfisicalSecret resource. In the `authentication.awsIamAuth.identityId` field, add the identity ID of the machine identity you created. See the example below for more details.
</Step>
</Steps>
<Info>
Make sure to also populate the `secretsScope` field with the project slug
_`projectSlug`_, environment slug _`envSlug`_, and secrets path
_`secretsPath`_ that you want to fetch secrets from. Please see the example
below.
</Info>
## Example
```yaml example-aws-iam-auth.yaml
apiVersion: secrets.infisical.com/v1alpha1
kind: InfisicalSecret
metadata:
name: infisicalsecret-sample-crd
spec:
authentication:
awsIamAuth:
identityId: <your-machine-identity-id>
# secretsScope is identical to the secrets scope in the universalAuth field in this sample.
secretsScope:
projectSlug: your-project-slug
envSlug: prod
secretsPath: "/path"
recursive: true
...
```
</Accordion>
<Accordion title="authentication.azureAuth">
The Azure machine identity authentication method is used to authenticate with Infisical. The identity ID is stored in a field in the InfisicalSecret resource. This authentication method can only be used within an Azure environment.
<Steps>
<Step title="Create a machine identity">
You need to create a machine identity, and give it access to the project(s) you want to interact with. You can [read more about Azure machine identities here](/documentation/platform/identities/azure-auth).
</Step>
<Step title="Add your identity ID to your InfisicalSecret resource">
Once you have created your machine identity and added it to your project(s), you will need to add the identity ID to your InfisicalSecret resource. In the `authentication.azureAuth.identityId` field, add the identity ID of the machine identity you created. See the example below for more details.
</Step>
</Steps>
<Info>
Make sure to also populate the `secretsScope` field with the project slug
_`projectSlug`_, environment slug _`envSlug`_, and secrets path
_`secretsPath`_ that you want to fetch secrets from. Please see the example
below.
</Info>
## Example
```yaml example-azure-auth.yaml
apiVersion: secrets.infisical.com/v1alpha1
kind: InfisicalSecret
metadata:
name: infisicalsecret-sample-crd
spec:
authentication:
azureAuth:
identityId: <your-machine-identity-id>
# secretsScope is identical to the secrets scope in the universalAuth field in this sample.
secretsScope:
projectSlug: your-project-slug
envSlug: prod
secretsPath: "/path"
recursive: true
...
```
</Accordion>
<Accordion title="authentication.gcpIdTokenAuth">
The GCP ID Token machine identity authentication method is used to authenticate with Infisical. The identity ID is stored in a field in the InfisicalSecret resource. This authentication method can only be used within GCP environments.
<Steps>
<Step title="Create a machine identity">
You need to create a machine identity, and give it access to the project(s) you want to interact with. You can [read more about GCP machine identities here](/documentation/platform/identities/gcp-auth).
</Step>
<Step title="Add your identity ID to your InfisicalSecret resource">
Once you have created your machine identity and added it to your project(s), you will need to add the identity ID to your InfisicalSecret resource. In the `authentication.gcpIdTokenAuth.identityId` field, add the identity ID of the machine identity you created. See the example below for more details.
</Step>
</Steps>
<Info>
Make sure to also populate the `secretsScope` field with the project slug
_`projectSlug`_, environment slug _`envSlug`_, and secrets path
_`secretsPath`_ that you want to fetch secrets from. Please see the example
below.
</Info>
## Example
```yaml example-gcp-id-token-auth.yaml
apiVersion: secrets.infisical.com/v1alpha1
kind: InfisicalSecret
metadata:
name: infisicalsecret-sample-crd
spec:
authentication:
gcpIdTokenAuth:
identityId: <your-machine-identity-id>
# secretsScope is identical to the secrets scope in the universalAuth field in this sample.
secretsScope:
projectSlug: your-project-slug
envSlug: prod
secretsPath: "/path"
recursive: true
...
```
</Accordion>
<Accordion title="authentication.gcpIamAuth">
The GCP IAM machine identity authentication method is used to authenticate with Infisical. The identity ID is stored in a field in the InfisicalSecret resource. This authentication method can only be used both within and outside GCP environments.
<Steps>
<Step title="Create a machine identity">
You need to create a machine identity, and give it access to the project(s) you want to interact with. You can [read more about GCP machine identities here](/documentation/platform/identities/gcp-auth).
</Step>
<Step title="Add your identity ID and service account token path to your InfisicalSecret resource">
Once you have created your machine identity and added it to your project(s), you will need to add the identity ID to your InfisicalSecret resource. In the `authentication.gcpIamAuth.identityId` field, add the identity ID of the machine identity you created.
You'll also need to add the service account key file path to your InfisicalSecret resource. In the `authentication.gcpIamAuth.serviceAccountKeyFilePath` field, add the path to your service account key file path. Please see the example below for more details.
</Step>
</Steps>
<Info>
Make sure to also populate the `secretsScope` field with the project slug
_`projectSlug`_, environment slug _`envSlug`_, and secrets path
_`secretsPath`_ that you want to fetch secrets from. Please see the example
below.
</Info>
## Example
```yaml example-gcp-id-token-auth.yaml
apiVersion: secrets.infisical.com/v1alpha1
kind: InfisicalSecret
metadata:
name: infisicalsecret-sample-crd
spec:
authentication:
gcpIamAuth:
identityId: <your-machine-identity-id>
serviceAccountKeyFilePath: "/path/to-service-account-key-file-path.json"
# secretsScope is identical to the secrets scope in the universalAuth field in this sample.
secretsScope:
projectSlug: your-project-slug
envSlug: prod
secretsPath: "/path"
recursive: true
...
```
</Accordion>
<Accordion title="authentication.serviceToken">
The service token required to authenticate with Infisical needs to be stored in a Kubernetes secret. This block defines the reference to the name and namespace of secret that stores this service token.
Follow the instructions below to create and store the service token in a Kubernetes secrets and reference it in your CRD.
#### 1. Generate service token
You can generate a [service token](../../documentation/platform/token) for an Infisical project by heading over to the Infisical dashboard then to Project Settings.
#### 2. Create Kubernetes secret containing service token
Once you have generated the service token, you will need to create a Kubernetes secret containing the service token you generated.
To quickly create a Kubernetes secret containing the generated service token, you can run the command below. Make sure you replace `<your-service-token-here>` with your service token.
```bash
kubectl create secret generic service-token --from-literal=infisicalToken="<your-service-token-here>"
```
#### 3. Add reference for the Kubernetes secret containing service token
Once the secret is created, add the name and namespace of the secret that was just created under `authentication.serviceToken.serviceTokenSecretReference` field in the InfisicalSecret resource.
{" "}
<Info>
Make sure to also populate the `secretsScope` field with the, environment slug
_`envSlug`_, and secrets path _`secretsPath`_ that you want to fetch secrets
from. Please see the example below.
</Info>
## Example
```yaml
apiVersion: secrets.infisical.com/v1alpha1
kind: InfisicalSecret
metadata:
name: infisicalsecret-sample-crd
spec:
authentication:
serviceToken:
serviceTokenSecretReference:
secretName: service-token # <-- name of the Kubernetes secret that stores our service token
secretNamespace: option # <-- namespace of the Kubernetes secret that stores our service token
secretsScope:
envSlug: <env-slug> # "dev", "staging", "prod", etc..
secretsPath: <secrets-path> # Root is "/"
...
```
</Accordion>
<Accordion title="managedSecretReference">
The `managedSecretReference` field is used to define the target location for storing secrets retrieved from an Infisical project.
This field requires specifying both the name and namespace of the Kubernetes secret that will hold these secrets.
The Infisical operator will automatically create the Kubernetes secret with the specified name/namespace and keep it continuously updated.
Note: The managed secret be should be created in the same namespace as the deployment that will use it.
</Accordion>
<Accordion title="managedSecretReference.secretName">
The name of the managed Kubernetes secret to be created
</Accordion>
<Accordion title="managedSecretReference.secretNamespace">
The namespace of the managed Kubernetes secret to be created.
</Accordion>
<Accordion title="managedSecretReference.secretType">
Override the default Opaque type for managed secrets with this field. Useful for creating kubernetes.io/dockerconfigjson secrets.
</Accordion>
<Accordion title="managedSecretReference.template">
Templates enable you to transform data from Infisical before storing it as a Kubernetes Secret.
</Accordion>
<Accordion title="managedSecretReference.template.includeAllSecrets">
When set to true, this option injects all secrets retrieved from Infisical into your configuration.
Secrets defined in the template will override the automatically injected secrets.
</Accordion>
<Accordion title="managedSecretReference.template.data">
Define secret keys and their corresponding templates.
Each data value uses a Golang template with access to all secrets retrieved from the specified scope.
Secrets are structured as follows:
```golang
type TemplateSecret struct {
Value string `json:"value"`
SecretPath string `json:"secretPath"`
}
```
#### Example template configuration:
```golang
managedSecretReference:
secretName: managed-secret
secretNamespace: default
template:
includeAllSecrets: true
data:
NEW_KEY: "{{ .KEY1.SecretPath }} {{ .KEY1.Value }}"
```
When you run the following command:
```bash
kubectl get secret managed-secret -o jsonpath='{.data}'
```
You'll receive Kubernetes secrets output that includes the NEW_KEY:
```bash
{... "KEY":"d29ybGQ=","NEW_KEY":"LyBoZWxsbw=="}
```
When you set `includeAllSecrets` as `false` the Kubernetes secrets outputs will be:
```bash
{"NEW_KEY":"LyBoZWxsbw=="}
```
Available Template Functions
- `base64DecodeBytes`: Converts a base64-encoded string into a byte array. This is commonly used for storing binary data in Infisical as base64 and syncing it with the operator. However, Kubernetes also performs base64 encoding, leading to double base64 conversion. To avoid this, you can decode the base64 string just before saving it to the operator.
</Accordion>
<Accordion title="managedSecretReference.creationPolicy">
Creation polices allow you to control whether or not owner references should be added to the managed Kubernetes secret that is generated by the Infisical operator.
This is useful for tools such as ArgoCD, where every resource requires an owner reference; otherwise, it will be pruned automatically.
#### Available options
- `Orphan` (default)
- `Owner`
<Tip>
When creation policy is set to `Owner`, the `InfisicalSecret` CRD must be in
the same namespace as where the managed kubernetes secret.
</Tip>
</Accordion>
### Apply the InfisicalSecret CRD to your cluster
Once you have configured the InfisicalSecret CRD with the required fields, you can apply it to your cluster.
After applying, you should notice that the managed secret has been created in the desired namespace your specified.
```
kubectl apply -f example-infisical-secret-crd.yaml
```
### Verify managed secret creation
To verify that the operator has successfully created the managed secret, you can check the secrets in the namespace that was specified.
```bash
# Verify managed secret is created
kubectl get secrets -n <namespace of managed secret>
```
<Info>
The Infisical secrets will be synced and stored into the managed secret every
1 minutes.
</Info>
## Using managed secret in your deployment
Incorporating the managed secret created by the operator into your deployment can be achieved through several methods.
Here, we will highlight three of the most common ways to utilize it. Learn more about Kubernetes secrets [here](https://kubernetes.io/docs/concepts/configuration/secret/)
<Accordion title="envFrom">
This will take all the secrets from your managed secret and expose them to your container
````yaml
envFrom:
- secretRef:
name: managed-secret # managed secret name
```
Example usage in a deployment
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx
spec:
replicas: 1
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
envFrom:
- secretRef:
name: managed-secret # <- name of managed secret
ports:
- containerPort: 80
````
</Accordion>
<Accordion title="env">
This will allow you to select individual secrets by key name from your managed secret and expose them to your container
```yaml
env:
- name: SECRET_NAME # The environment variable's name which is made available in the container
valueFrom:
secretKeyRef:
name: managed-secret # managed secret name
key: SOME_SECRET_KEY # The name of the key which exists in the managed secret
```
Example usage in a deployment
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx
spec:
replicas: 1
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers: - name: nginx
image: nginx:1.14.2
env: - name: STRIPE_API_SECRET
valueFrom:
secretKeyRef:
name: managed-secret # <- name of managed secret
key: STRIPE_API_SECRET
ports: - containerPort: 80
```
</Accordion>
<Accordion title="volumes">
This will allow you to create a volume on your container which comprises of files holding the secrets in your managed kubernetes secret
```yaml
volumes:
- name: secrets-volume-name # The name of the volume under which secrets will be stored
secret:
secretName: managed-secret # managed secret name
````
You can then mount this volume to the container's filesystem so that your deployment can access the files containing the managed secrets
```yaml
volumeMounts:
- name: secrets-volume-name
mountPath: /etc/secrets
readOnly: true
```
Example usage in a deployment
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx
spec:
replicas: 1
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
volumeMounts:
- name: secrets-volume-name
mountPath: /etc/secrets
readOnly: true
ports:
- containerPort: 80
volumes:
- name: secrets-volume-name
secret:
secretName: managed-secret # <- managed secrets
```
</Accordion>
The definition file of the Kubernetes secret for the CA certificate can be structured like the following:
```yaml
apiVersion: v1
kind: Secret
metadata:
name: custom-ca-certificate
type: Opaque
stringData:
ca.crt: |
-----BEGIN CERTIFICATE-----
MIIEZzCCA0+gAwIBAgIUDk9+HZcMHppiNy0TvoBg8/aMEqIwDQYJKoZIhvcNAQEL
...
BQAwDTELMAkGA1UEChMCUEgwHhcNMjQxMDI1MTU0MjAzWhcNMjUxMDI1MjE0MjAz
-----END CERTIFICATE-----
```
### Auto redeployment
Deployments using managed secrets don't reload automatically on updates, so they may use outdated secrets unless manually redeployed.
To address this, we added functionality to automatically redeploy your deployment when its managed secret updates.
#### Enabling auto redeploy
To enable auto redeployment you simply have to add the following annotation to the deployment that consumes a managed secret
```yaml
secrets.infisical.com/auto-reload: "true"
```
<Accordion title="Deployment example with auto redeploy enabled">
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
labels:
app: nginx
annotations:
secrets.infisical.com/auto-reload: "true" # <- redeployment annotation
spec:
replicas: 1
selector:
matchLabels:
app: nginx
template:
metadata:
labels:
app: nginx
spec:
containers:
- name: nginx
image: nginx:1.14.2
envFrom:
- secretRef:
name: managed-secret
ports:
- containerPort: 80
```
</Accordion>
<Info>
#### How it works
When a secret change occurs, the operator will check to see which deployments are using the operator-managed Kubernetes secret that received the update.
Then, for each deployment that has this annotation present, a rolling update will be triggered.
</Info>
## Propagating labels & annotations
The operator will transfer all labels & annotations present on the `InfisicalSecret` CRD to the managed Kubernetes secret to be created.
Thus, if a specific label is required on the resulting secret, it can be applied as demonstrated in the following example:
<Accordion title="Example propagation">
```yaml
apiVersion: secrets.infisical.com/v1alpha1
kind: InfisicalSecret
metadata:
name: infisicalsecret-sample
labels:
label-to-be-passed-to-managed-secret: sample-value
annotations:
example.com/annotation-to-be-passed-to-managed-secret: "sample-value"
spec:
..
authentication:
...
managedSecretReference:
...
```
This would result in the following managed secret to be created:
```yaml
apiVersion: v1
data: ...
kind: Secret
metadata:
annotations:
example.com/annotation-to-be-passed-to-managed-secret: sample-value
secrets.infisical.com/version: W/"3f1-ZyOSsrCLGSkAhhCkY2USPu2ivRw"
labels:
label-to-be-passed-to-managed-secret: sample-value
name: managed-token
namespace: default
type: Opaque
```
</Accordion>