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The InfisicalSecret CRD is deprecated and will be removed in a future release. For new installations, use InfisicalStaticSecret (v1beta1) instead. See the migration guide for further details.
Once you have installed the operator to your cluster, you’ll need to create a InfisicalSecret custom resource definition (CRD). In this CRD, you’ll define the authentication method to use, the secrets to fetch, and the target location to store the secrets within your cluster.
example-infisical-secret-crd.yaml

CRD properties

Generic

The following properties help define what instance of Infisical the operator will interact with, the interval it will sync secrets and any CA certificates that may be required to connect.
If you are fetching secrets from a self-hosted instance of Infisical set the value of hostAPI to https://your-self-hosted-instace.com/apiWhen hostAPI is not defined the operator fetches secrets from Infisical Cloud.
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:
Make sure to replace <backend-svc-name> and <namespace> with the appropriate values for your backend service and namespace.
This block defines the synchronization configuration for the operator to fetch secrets from Infisical.
The resyncInterval is a string-formatted duration that defines the time between each resync. The field is optional, and will default to 60 seconds if not defined.The format of the field is [duration][unit] where duration is a number and unit is a string representing the unit of time.The following units are supported:
  • s for seconds (must be at least 5 seconds)
  • m for minutes
  • h for hours
  • d for days
  • w for weeks
The default value is 1m (1 minute) when instantUpdates is set to false, and 1h (1 hour) when instantUpdates is set to true.Valid expressions for the resyncInterval field:
This property enables instant updates from Infisical. When set to true, changes made to secrets in Infisical will be immediately pushed to the operator, triggering a configuration update. This reduces the need for periodic re-syncs. Instant updates leverages Event Subscriptions to receive real-time updates when secret changes occur within Infisical.
Instant Updates is a paid featureInstant Updates is available under the Enterprise Tier. Please contact sales@infisical.com for more information.
This block defines the TLS settings to use for connecting to the Infisical instance.
This block defines the reference to the CA certificate to use for connecting to the Infisical instance with SSL/TLS.
The name of the Kubernetes secret containing the CA certificate to use for connecting to the Infisical instance with SSL/TLS.
The namespace of the Kubernetes secret containing the CA certificate to use for connecting to the Infisical instance with SSL/TLS.
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.

Authentication Methods

To retrieve the requested secrets, the operator must first authenticate with Infisical. The list of available authentication methods are shown below.
This block defines the authentication credentials and secrets scope to be used when fetching secrets from Infisical.
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.
1

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.
2

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.
3

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.
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.

Example

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.
Manual long-lived service account tokens are created as Kubernetes secrets and remain valid until deleted or rotated. In most cases, use short-lived service account tokens instead because they are easier to operate and reduce the lifetime of exposed credentials.
1

Create a token reviewer service account

Create a reviewer service account in your Kubernetes cluster. Infisical uses this account to authenticate with the Kubernetes API Server through the TokenReview API.
infisical-reviewer-service-account.yaml
2

Bind the reviewer service account

Bind the reviewer service account to the system:auth-delegator cluster role. This allows Infisical to perform delegated authentication checks against the TokenReview API.
infisical-reviewer-cluster-role-binding.yaml
3

Create and retrieve the token reviewer JWT

Create a service account token secret for the reviewer service account:
service-account-reviewer-token.yaml
Link the secret to the reviewer service account:
Retrieve the token reviewer JWT:
Keep this JWT token handy. You will need it for the Token Reviewer JWT field when configuring Kubernetes Auth on the machine identity in Infisical.
4

Create a machine identity

To create an identity, head to your Organization Settings Access Control Identities and press Create identity.identities organizationWhen creating an identity, you specify an organization level role for it to assume; you can configure roles in Organization Settings Access Control Organization Roles.identities organization createNow 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.Use the token reviewer JWT from the previous step when filling the Token Reviewer JWT field.
To learn more about each field of the Kubernetes native authentication method, see step 2 of guide.
identities organization create auth method
5

Add the 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 projectidentities project create
6

Create the service account used for authentication

Create the Kubernetes service account that the operator will use to authenticate with Infisical.
infisical-service-account.yaml
7

Create a long-lived token for the service account

Create a service account token secret for the service account used to authenticate with Infisical:
infisical-service-account-token.yaml
Patch the service account with the newly created service account token:
When to use this option: Choose this approach when you have a gateway deployed in your Kubernetes Cluster and wish to eliminate long-lived tokens. This approach simplifies Infisical Kubernetes Auth configuration, and only one service account will need to have the elevated system:auth-delegator ClusterRole binding.
Note: Gateway is a paid feature. - Infisical Cloud users: Gateway is available under the Enterprise Tier. - Self-Hosted Infisical: Please contact sales@infisical.com to purchase an enterprise license.
1

Deploying a gateway

To deploy a gateway in your Kubernetes cluster, follow our Gateway deployment guide using Helm.
2

Configure the Kubernetes Auth authentication method for the identity

To configure your Kubernetes Auth method to use the gateway as the token reviewer, set the Review Method to “Gateway as Reviewer”, and select the gateway you want to use as the token reviewer.You can select either an individual gateway or a Gateway Pool for automatic failover. When a pool is selected, the platform routes through a healthy gateway at request time. See Gateway Pools for more details.identities organization create kubernetes auth method
Once you have set up the Kubernetes Auth prerequisites above, add the identity ID and service account details to your InfisicalSecret resource. In the authentication.kubernetesAuth.identityId field, add the identity ID of the machine identity you created. Under authentication.kubernetesAuth.serviceAccountRef, enter the name and namespace of the service account.If using short-lived tokens, set authentication.kubernetesAuth.autoCreateServiceAccountToken to true.
Make sure to also populate the secretsScope field with the project slug projectSlug, or project ID projectId, environment slug envSlug, and secrets path secretsPath that you want to fetch secrets from. Please see the examples below.Please note that you can only use either projectSlug or projectId in the secretsScope field.
example-kubernetes-auth.yaml
example-kubernetes-auth.yaml
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.
1

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.
2

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.
Make sure to also populate the secretsScope field with the project slug projectSlug, or project ID projectId, environment slug envSlug, and secrets path secretsPath that you want to fetch secrets from. Please see the example below.Please note that you can only use either projectSlug or projectId in the secretsScope field.

Example

example-aws-iam-auth.yaml
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.
1

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.
2

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.
Make sure to also populate the secretsScope field with the project slug projectSlug, or project ID projectId, environment slug envSlug, and secrets path secretsPath that you want to fetch secrets from. Please see the example below.Please note that you can only use either projectSlug or projectId in the secretsScope field.

Example

example-azure-auth.yaml
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.
1

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.
2

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.
Make sure to also populate the secretsScope field with the project slug projectSlug, or project ID projectId, environment slug envSlug, and secrets path secretsPath that you want to fetch secrets from. Please see the example below.Please note that you can only use either projectSlug or projectId in the secretsScope field.

Example

example-gcp-id-token-auth.yaml
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.
1

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.
2

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.
Make sure to also populate the secretsScope field with the project slug projectSlug, or project ID projectId, environment slug envSlug, and secrets path secretsPath that you want to fetch secrets from. Please see the example below.Please note that you can only use either projectSlug or projectId in the secretsScope field.

Example

example-gcp-id-token-auth.yaml
The LDAP machine identity authentication method is used to authenticate with Infisical using the configured LDAP directory. The username and password needs to be stored in a Kubernetes secret. This block defines the reference to the name and namespace of secret that stores these credentials.
1

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.
2

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-ldap-username> with the identity LDAP username and <your-identity-ldap-password> with the identity LDAP password.
3

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.ldapAuth.credentialsRef field in the InfisicalSecret resource.
Make sure to also populate the secretsScope field with the project slug projectSlug, or project ID projectId, environment slug envSlug, and secrets path secretsPath that you want to fetch secrets from. Please see the example below.Please note that you can only use either projectSlug or projectId in the secretsScope field.

Example

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 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.

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.
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.

Example

Operator Managed Secrets

The managed secret properties specify where to store the secrets retrieved from your Infisical project. This includes defining the name and namespace of the Kubernetes secret that will hold these secrets. The Infisical operator will automatically create the Kubernetes secret in the specified name/namespace and ensure it stays up-to-date.
The managedSecretReference field is deprecated and will be removed in a future release. Replace it with managedKubeSecretReferences, which now accepts an array of references to support multiple managed secrets in a single InfisicalSecret CRD.Example:
The name of the managed Kubernetes secret to be created
The namespace of the managed Kubernetes secret to be created.
Override the default Opaque type for managed secrets with this field. Useful for creating kubernetes.io/dockerconfigjson secrets.
Creation policies 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
When creation policy is set to Owner, the InfisicalSecret CRD must be in the same namespace as where the managed kubernetes secret.

Managed Secret Templating

Fetching secrets from Infisical as is via the operator may not be enough. This is where templating functionality may be helpful. Using Go templates, you can format, combine, and create new key-value pairs from secrets fetched from Infisical before storing them as Kubernetes Secrets.
This property controls what secrets are included in your managed secret when using templates. When set to true, all secrets fetched from your Infisical project will be added into your managed Kubernetes secret resource. Use this option when you would like to sync all secrets from Infisical to Kubernetes but want to template a subset of them.When set to false, only secrets defined in the managedKubeSecretReferences[].template.data field of the template will be included in the managed secret. Use this option when you would like to sync only a subset of secrets from Infisical to Kubernetes.
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:

Example template configuration:

For this example, let’s assume the following secrets exist in your Infisical project:
The resulting managed Kubernetes secret will then contain:
To help transform your secrets further, the operator provides a set of built-in functions that you can use in your templates.

Available helper functions

The Infisical Secrets Operator exposes a wide range of helper functions to make it easier to work with secrets in Kubernetes.
Encodes a string to a base64-encoded string (e.g. hello world becomes aGVsbG8gd29ybGQ=).Signature
Template usage
Decodes a base64-encoded string back to its original value (e.g. aGVsbG8gd29ybGQ= becomes hello world).Signature
Template usage
Extracts all private keys from a PKCS#12 archive and returns them as PKCS#8 PEM-encoded blocks (-----BEGIN PRIVATE KEY-----...). The archive must not be password-protected — use pkcs12keyPass for password-protected archives.Signature
Template usage
Same as pkcs12key, but uses the provided password to decrypt the PKCS#12 archive.Signature
Template usage
Extracts all certificates from a PKCS#12 archive and returns them as an ordered PEM chain (-----BEGIN CERTIFICATE-----...). Sort order: leaf → intermediate(s) → root. If disjunct or multiple leaf certs are provided, they are returned as-is. The archive must not be password-protected — use pkcs12certPass for password-protected archives.Signature
Template usage
Same as pkcs12cert, but uses the provided password to decrypt the PKCS#12 archive.Signature
Template usage
Takes a PEM-encoded certificate and private key and creates a base64-encoded PKCS#12 archive. The output is not password-protected — use pemToPkcs12Pass to set a password.Signature
Template usage
Same as pemToPkcs12, but encrypts the PKCS#12 archive with the provided password.Signature
Template usage
Takes a full PEM-encoded certificate chain (leaf + intermediates + root) and a private key, and creates a base64-encoded PKCS#12 archive that includes the entire chain. The output is not password-protected — use fullPemToPkcs12Pass to set a password.Signature
Template usage
Same as fullPemToPkcs12, but encrypts the PKCS#12 archive with the provided password.Signature
Template usage
Filters PEM blocks by type from a bundle containing multiple PEM blocks (e.g. extract only CERTIFICATE or PRIVATE KEY blocks). Common PEM types: CERTIFICATE, PRIVATE KEY, PUBLIC KEY, RSA PRIVATE KEY.Signature
Template usage
Filters PEM certificates by their position in a certificate chain. The chain is automatically ordered before filtering. Accepted types: leaf (end-entity certificate), intermediate (all intermediate CA certificates), root (root CA certificate). Returns an empty string if the requested type is not present in the chain.Signature
Template usage
Takes a JSON-serialized JWK and returns a PEM block of type PUBLIC KEY containing the public key. Uses x509.MarshalPKIXPublicKey internally.Signature
Template usage
Takes a JSON-serialized JWK and returns a PEM block of type PRIVATE KEY containing the private key. Uses x509.MarshalPKCS8PrivateKey internally.Signature
Template usage
Marshals a value to a YAML string. Returns an empty string on marshal error.Signature
Template usage
Parses a YAML string into a map[string]any, useful for extracting individual fields from a YAML-formatted secret (e.g. (fromYaml .DB_CONFIG.Value).host returns the host field).Signature
Template usage
This function is only available in v1beta1 resources (e.g. InfisicalStaticSecret).
Resolves a secret from a specific folder path within the Infisical project. Takes a path and a secret name as parameters, and returns the secret’s value by default. You can optionally use .Value or .SecretPath accessors on the result — if omitted, .Value is used.This is especially useful when multiple secrets share the same key, either from recursive fetches across different paths or from multiple sources. In both cases, the merge strategy only keeps the first occurrence (read more here), so secretFrom lets you explicitly select the one you need by its full path.
If multiple sources contain a secret with the same name and path, the secret from the first source listed in the sources array will be used.
Signature
Template usage

Sprig functions

The Infisical Secrets Operator integrates with the Sprig library to provide additional helper functions.
We’ve removed expandEnv and env from the supported functions for security reasons.
Define custom labels and annotations for the managed Kubernetes secret. This allows you to specify metadata that should be applied to the managed secret separately from the InfisicalSecret itself.For detailed information on how metadata propagation works and examples, see the Propagating Labels & Annotations section.

Operator Managed ConfigMaps

The managed config map properties specify where to store the secrets retrieved from your Infisical project. Config maps can be used to store non-sensitive data, such as application configuration variables. The properties includes defining the name and namespace of the Kubernetes config map that will hold the data retrieved from your Infisical project. The Infisical operator will automatically create the Kubernetes config map in the specified name/namespace and ensure it stays up-to-date. If a config map already exists in the specified namespace, the operator will update the existing config map with the new data.
The usage of config maps is only intended for storing non-sensitive data. If you are looking to store sensitive data, please use the managed secret property instead.
The name of the managed Kubernetes config map that your Infisical data will be stored in.
The namespace of the managed Kubernetes config map that your Infisical data will be stored in.
Creation policies allow you to control whether or not owner references should be added to the managed Kubernetes config map 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
When creation policy is set to Owner, the InfisicalSecret CRD must be in the same namespace as where the managed kubernetes config map.

Managed ConfigMap Templating

Fetching secrets from Infisical as is via the operator may not be enough. This is where templating functionality may be helpful. Using Go templates, you can format, combine, and create new key-value pairs from secrets fetched from Infisical before storing them as Kubernetes Config Maps.
This property controls what secrets are included in your managed config map when using templates. When set to true, all secrets fetched from your Infisical project will be added into your managed Kubernetes config map resource. Use this option when you would like to sync all secrets from Infisical to Kubernetes but want to template a subset of them.When set to false, only secrets defined in the managedKubeConfigMapReferences[].template.data field of the template will be included in the managed config map. Use this option when you would like to sync only a subset of secrets from Infisical to Kubernetes.
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:

Example template configuration:

For this example, let’s assume the following secrets exist in your Infisical project:
The resulting managed Kubernetes config map will then contain:
To help transform your config map data further, the operator provides a set of built-in functions that you can use in your templates.

Available helper functions

The Infisical Secrets Operator exposes a wide range of helper functions to make it easier to work with secrets in Kubernetes.
Encodes a string to a base64-encoded string (e.g. hello world becomes aGVsbG8gd29ybGQ=).Signature
Template usage
Decodes a base64-encoded string back to its original value (e.g. aGVsbG8gd29ybGQ= becomes hello world).Signature
Template usage
Extracts all private keys from a PKCS#12 archive and returns them as PKCS#8 PEM-encoded blocks (-----BEGIN PRIVATE KEY-----...). The archive must not be password-protected — use pkcs12keyPass for password-protected archives.Signature
Template usage
Same as pkcs12key, but uses the provided password to decrypt the PKCS#12 archive.Signature
Template usage
Extracts all certificates from a PKCS#12 archive and returns them as an ordered PEM chain (-----BEGIN CERTIFICATE-----...). Sort order: leaf → intermediate(s) → root. If disjunct or multiple leaf certs are provided, they are returned as-is. The archive must not be password-protected — use pkcs12certPass for password-protected archives.Signature
Template usage
Same as pkcs12cert, but uses the provided password to decrypt the PKCS#12 archive.Signature
Template usage
Takes a PEM-encoded certificate and private key and creates a base64-encoded PKCS#12 archive. The output is not password-protected — use pemToPkcs12Pass to set a password.Signature
Template usage
Same as pemToPkcs12, but encrypts the PKCS#12 archive with the provided password.Signature
Template usage
Takes a full PEM-encoded certificate chain (leaf + intermediates + root) and a private key, and creates a base64-encoded PKCS#12 archive that includes the entire chain. The output is not password-protected — use fullPemToPkcs12Pass to set a password.Signature
Template usage
Same as fullPemToPkcs12, but encrypts the PKCS#12 archive with the provided password.Signature
Template usage
Filters PEM blocks by type from a bundle containing multiple PEM blocks (e.g. extract only CERTIFICATE or PRIVATE KEY blocks). Common PEM types: CERTIFICATE, PRIVATE KEY, PUBLIC KEY, RSA PRIVATE KEY.Signature
Template usage
Filters PEM certificates by their position in a certificate chain. The chain is automatically ordered before filtering. Accepted types: leaf (end-entity certificate), intermediate (all intermediate CA certificates), root (root CA certificate). Returns an empty string if the requested type is not present in the chain.Signature
Template usage
Takes a JSON-serialized JWK and returns a PEM block of type PUBLIC KEY containing the public key. Uses x509.MarshalPKIXPublicKey internally.Signature
Template usage
Takes a JSON-serialized JWK and returns a PEM block of type PRIVATE KEY containing the private key. Uses x509.MarshalPKCS8PrivateKey internally.Signature
Template usage
Marshals a value to a YAML string. Returns an empty string on marshal error.Signature
Template usage
Parses a YAML string into a map[string]any, useful for extracting individual fields from a YAML-formatted secret (e.g. (fromYaml .DB_CONFIG.Value).host returns the host field).Signature
Template usage
This function is only available in v1beta1 resources (e.g. InfisicalStaticSecret).
Resolves a secret from a specific folder path within the Infisical project. Takes a path and a secret name as parameters, and returns the secret’s value by default. You can optionally use .Value or .SecretPath accessors on the result — if omitted, .Value is used.This is especially useful when multiple secrets share the same key, either from recursive fetches across different paths or from multiple sources. In both cases, the merge strategy only keeps the first occurrence (read more here), so secretFrom lets you explicitly select the one you need by its full path.
If multiple sources contain a secret with the same name and path, the secret from the first source listed in the sources array will be used.
Signature
Template usage

Sprig functions

The Infisical Secrets Operator integrates with the Sprig library to provide additional helper functions.
We’ve removed expandEnv and env from the supported functions for security reasons.
Define custom labels and annotations for the managed Kubernetes ConfigMap. This allows you to specify metadata that should be applied to the managed ConfigMap separately from the InfisicalSecret itself.This field works the same way as template.metadata for managed secrets. For detailed information on how metadata propagation works and examples, see the Propagating Labels & Annotations section.

Applying CRD

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.
To verify that the operator has successfully created the managed secret, you can check the secrets in the namespace that was specified.
The Infisical secrets will be synced and stored into the managed secret every 1 minute unless configured otherwise.

Using Managed Secret In Your Deployment

To make use of 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
This will take all the secrets from your managed secret and expose them to your container
This will allow you to select individual secrets by key name from your managed secret and expose them to your container
Example usage in a deployment
This will allow you to create a volume on your container which comprises of files holding the secrets in your managed kubernetes secret
You can then mount this volume to the container’s filesystem so that your deployment can access the files containing the managed secrets
Example usage in a deployment
The definition file of the Kubernetes secret for the CA certificate can be structured like the following:

Automatic 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 Automatic Redeployment

To enable auto redeployment you simply have to add the following annotation to the Deployment, StatefulSet, or DaemonSet that consumes a managed secret.

How it works When a managed secret is updated, the operator checks for

any Deployments, DaemonSets, or StatefulSets that consume the updated secret and have the annotation secrets.infisical.com/auto-reload: "true". For each matching workload, the operator triggers a rolling restart to ensure it picks up the latest secret values.

Using Managed ConfigMap In Your Deployment

To make use of the managed ConfigMap 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 ConfigMaps here
Automatic redeployment of deployments using managed ConfigMaps is not yet supported.
This will take all the secrets from your managed ConfigMap and expose them to your container
This will allow you to select individual secrets by key name from your managed ConfigMap and expose them to your container
Example usage in a deployment
This will allow you to create a volume on your container which comprises of files holding the secrets in your managed kubernetes secret
You can then mount this volume to the container’s filesystem so that your deployment can access the files containing the managed secrets
Example usage in a deployment
The definition file of the Kubernetes secret for the CA certificate can be structured like the following:

Propagating Labels & Annotations

The operator provides flexible options for managing labels and annotations on managed Kubernetes secrets.
By default, the operator will transfer all labels & annotations present on the InfisicalSecret to the managed Kubernetes secret to be created.

Example

This would result in the following managed secret to be created:
When you specify template.metadata in your template configuration, you have full control over which labels and annotations are applied to the managed secret:
  • Labels and annotations from template.metadata are used exclusively on the managed secret
  • InfisicalSecret labels and annotations are NOT propagated to the managed secret
  • This allows you to keep InfisicalSecret-specific metadata separate from the managed secret metadata
To prevent any propagation while using template.metadata, pass empty objects for labels and/or annotations. This will ensure no labels or annotations are propagated to the managed secret, even from the InfisicalSecret CRD’s own labels/annotations:

Example

This would result in the following managed secret to be created: