This document discusses how to configure customer-managed encryption keys (CMEK) for a Google Cloud Managed Service for Apache Kafka cluster.
Managed Service for Apache Kafka encrypts messages at rest with Google-managed encryption keys by default. No additional setup is required to use Google-managed encryption keys.
About CMEK
CMEKs are encryption keys that you own and are managed and stored in Cloud Key Management Service (Cloud KMS). If you need more control over the encryption keys used to protect Managed Service for Apache Kafka data at rest, you can use CMEKs. Some organizations also mandate the use of CMEKs.
CMEKs give you full control over your encryption keys, letting you manage their lifecycle, rotation, and access policies. When you configure an Managed Service for Apache Kafka cluster with a CMEK, the service automatically encrypts all cluster data at rest using the specified key. Cloud KMS usage for CMEK might incur additional costs depending on your usage patterns.
Configure Managed Service for Apache Kafka cluster for CMEK
You can configure CMEK for a Managed Service for Apache Kafka cluster using the Google Cloud console or the Google Cloud CLI.
Before you begin
Complete the following tasks:
Enable the Cloud KMS API.
Create a key ring and a key in Cloud KMS. Keys and key rings cannot be deleted. As Managed Service for Apache Kafka resources are regional, we recommend that you create CMEKs in the same region as where the Kafka cluster is located.
For instructions on how to accomplish these tasks, see the Cloud KMS quickstart guide.
Required roles and permissions to configure CMEK
Managed Service for Apache Kafka uses a Google Cloud service agent to access Cloud KMS. The service agent for your Google Cloud project is automatically created after you create your first Managed Service for Apache Kafka cluster.
The service agent is maintained internally by Managed Service for Apache Kafka for each project, and is not visible on the Service Accounts page in the Google Cloud console by default.
The Managed Service for Apache Kafka service agent has the form
service-${PROJECT_NUMBER}@gcp-sa-managed-kafka.iam.gserviceaccount.com
.
Managed Service for Apache Kafka requires specific permissions to encrypt and decrypt data using CMEK.
Complete the following steps to set up the required access:
Optional: Create the Managed Service for Apache Kafka service agent manually by using the gcloud beta services identity create command.
If you have previously created a cluster in your project, the Managed Service for Apache Kafka service agent is already created in your project and you can skip this step.
gcloud beta services identity create \ --service=managedkafka.googleapis.com \ --project=PROJECT_ID
Replace PROJECT_ID with your project ID.
Grant the Managed Service for Apache Kafka service agent the Cloud KMS Crypto Key Encrypter/Decrypter (
roles/cloudkms.cryptoKeyEncrypterDecrypter
) role.gcloud kms keys add-iam-policy-binding CLOUD_KMS_KEY_NAME \ --member=serviceAccount:service-PROJECT_NUMBER@gcp-sa-managedkafka.iam.gserviceaccount.com \ --role=roles/cloudkms.cryptoKeyEncrypterDecrypter
Replace the following:
CLOUD_KMS_KEY_NAME: The name of the Cloud KMS key.
The key is of the format
projects/PROJECT_ID/locations/LOCATION/keyRings/KEY_RING/cryptoKeys/CRYPTO_KEY
.An example is
projects/test-project/locations/us-central1/keyRings/test-keyring/cryptoKeys/test-key
.PROJECT_NUMBER: The project number of the Managed Service for Apache Kafka project.
For more information about granting IAM roles, see Granting roles on a resource.
Create a cluster with CMEK
You can use the Google Cloud console or gcloud CLI to add your encryption keys at the time when you create your Kafka cluster.
Enable the Apache Kafka for BigQuery, Compute Engine, Cloud DNS, and Cloud KMS APIs.
Before you create a cluster, review the documentation of the cluster properties.
To create a cluster with CMEK, follow these steps:
Console
-
In the Google Cloud console, go to the Clusters page.
- Select Create.
The Create Kafka cluster page opens.
- For the Cluster name, enter a string.
For more information about how to name a cluster, see Guidelines to name a Managed Service for Apache Kafka resource.
- For Location, enter a supported location.
For more information about supported locations, see Supported Managed Service for Apache Kafka locations.
- For Capacity configuration, enter values for Memory
and vCPUs.
The vCPU to memory ratio must be between 1:1 and 1:6.
For more information about how to size a Managed Service for Apache Kafka cluster, see Estimate vCPUs and memory for your Managed Service for Apache Kafka cluster.
- For Network configuration, enter the following details:
- Project: The project where the subnetwork is located. The subnet must be located in the same region as the cluster, but the project might be different.
- Network: The network to which the subnet is connected.
- Subnetwork: The name of the subnet.
- Subnet URI path: This field is automatically
populated. Or, you can enter the subnet path here. The name
of the subnet must be in the format:
projects/PROJECT_ID/regions/REGION/subnetworks/SUBNET_ID
. - Click Done.
- (Optional) Add additional subnets by clicking Add a connected
subnet.
You can add additional subnets, up to a maximum value of ten.
- For Encryption, select Cloud KMS key.
- For Key type, select Cloud KMS and for Select a customer-managed key, enter the CMEK that you created.
- Click Create.
gcloud
Run the
gcloud managed-kafka clusters create
command:gcloud managed-kafka clusters create CLUSTER_ID \ --location=LOCATION \ --cpu=CPU \ --memory=MEMORY \ --subnets=SUBNETS \ --encryption-key=CLOUD_KMS_KEY \
Replace the following:
-
CLUSTER_ID: The ID or name of the cluster.
For more information about how to name a cluster, see Guidelines to name a Managed Service for Apache Kafka resource.
-
LOCATION: The location of the cluster.
For more information about supported locations, see Supported Managed Service for Apache Kafka locations.
-
CPU: The number of virtual CPUs for the cluster. The vCPU to memory ratio must be between 1:1 and 1:6.
For more information about how to size a Managed Service for Apache Kafka cluster, see Estimate vCPUs and memory for your Managed Service for Apache Kafka cluster.
-
MEMORY: The amount of memory for the cluster. Use "MB", "MiB", "GB", "GiB", "TB", or "TiB" units. For example, "10GiB".
-
SUBNETS: The list of subnets to connect to. Use commas to separate multiple subnet values.
The format of the subnet is
projects/PROJECT_ID/regions/REGION/subnetworks/SUBNET_ID
. -
ENCRYPTION_KEY: ID of the CMEK to use for the cluster.
The format is
projects/PROJECT_ID/locations/LOCATION/keyRings/KEY_RING/cryptoKeys/CRYPTO_KEY
.
-
In the Google Cloud console, activate Cloud Shell.
At the bottom of the Google Cloud console, a Cloud Shell session starts and displays a command-line prompt. Cloud Shell is a shell environment with the Google Cloud CLI already installed and with values already set for your current project. It can take a few seconds for the session to initialize.
Confirm the cluster creation
Confirm that the cluster is configured for CMEK, by running the gcloud managed-kafka clusters describe command.
gcloud managed-kafka clusters describe CLUSTER_ID \
--location=LOCATION
The output includes the configured CMEK.
Audit logs
Cloud KMS produces audit logs when keys are enabled, disabled, or used by Managed Service for Apache Kafka to encrypt and decrypt messages. This is useful in debugging issues with publish or delivery availability.
Cloud KMS key IDs are attached to audit logs for Managed Service for Apache Kafka cluster resources. Managed Service for Apache Kafka does not include any other Cloud KMS-related information in audit logs.
Disable and re-enable CMEK
There are two ways to disable CMEK. Choose one of the following methods:
Disable the Cloud KMS key that you've associated with the cluster. This approach affects all Cloud resources associated with that key.
Revoke the CryptoKey Encrypter/Decrypter role from the Managed Service for Apache Kafka service agent (
service-${PROJECT_NUMBER}@gcp-sa-managedkafka.iam.gserviceaccount.com
) by using Identity and Access Management (IAM). This approach affects all of the Managed Service for Apache Kafka clusters in the project and the messages encrypted by using CMEK.
Although neither operation might cause instantaneous access revocation, IAM changes generally propagate faster.
For more information, see Cloud KMS resource consistency and Access change propagation.
When Managed Service for Apache Kafka cannot access a Cloud KMS key, message publishing and delivery fails with errors. To resume delivery and publishing, restore access to the Cloud KMS key.
After the Cloud KMS key is accessible to Managed Service for Apache Kafka, publishing is available within 12 hours and message delivery resumes within 2 hours.
Although intermittent Cloud KMS outages of less than a minute are unlikely to significantly interrupt publishing and delivery, extended Cloud KMS unavailability has the same effect as key revocation.