Version 1.12. This version is no longer supported. For information about how to upgrade to version 1.13, see Upgrading Anthos on bare metal in the 1.13 documentation. For more information about supported and unsupported versions, see the Version history page in the latest documentation.

Create hybrid clusters

In Google Distributed Cloud, hybrid clusters perform the dual role of an admin cluster and a user cluster. They run workloads, and at the same time, manage other clusters, and themselves.

Hybrid clusters eliminate the need to run a separate admin cluster in resource-constrained scenarios, and can provide highly available (HA) reliability. In an HA hybrid cluster, if one node fails, then others will take its place.

Hybrid clusters are different from standalone clusters in that they can also manage other clusters. Standalone clusters can't create or manage other clusters.

When you create hybrid clusters, there is some tradeoff between flexibility and security, however. Since hybrid clusters manage themselves, running workloads on the same cluster increases the risk of security exposure to sensitive administrative data, like SSH keys.

You create a hybrid cluster with a high availability (HA) control plane using the bmctl command. The bmctl command can be run on a separate workstation or on one of the hybrid cluster nodes.

Prerequisites

Latest bmctl is downloaded (gs://anthos-baremetal-release/bmctl/1.12.9/linux-amd64/bmctl) from Cloud Storage.
Workstation running bmctl has network connectivity to all nodes in the target hybrid cluster.
Workstation running bmctl has network connectivity to the control plane VIP of the target hybrid cluster.
SSH key used to create the hybrid cluster is available to root, or there is SUDO user access on all nodes in the target hybrid cluster.
Connect-register service account is configured for use with Connect.

See the Google Distributed Cloud quickstart for expanded step-by-step instructions for creating a hybrid cluster.

Enable SELinux

If you want to enable SELinux to secure your containers, you must make sure that SELinux is enabled in Enforced mode on all your host machines. Starting with Google Distributed Cloud release 1.9.0 or later, you can enable or disable SELinux before or after cluster creation or cluster upgrades. SELinux is enabled by default on Red Hat Enterprise Linux (RHEL) and CentOS. If SELinux is disabled on your host machines or you aren't sure, see Securing your containers using SELinux for instructions on how to enable it.

Google Distributed Cloud supports SELinux in only RHEL and CentOS systems.

Log into gcloud and create a hybrid cluster config file

gcloud auth application-default login

Service Account Admin
Service Account Key Admin
Project IAM Admin
Compute Viewer
Service Usage Admin

export GOOGLE_APPLICATION_CREDENTIALS=JSON_KEY_FILE

JSON_KEY_FILE

Get your Cloud project id to use with cluster creation:

export CLOUD_PROJECT_ID=$(gcloud config get-value project)

Create the hybrid cluster with `bmctl`

After you've logged into gcloud and have your project set up, you can create the cluster config file with the bmctl command. Note that in this example, all service accounts are automatically created by the bmctl create config command:

bmctl create config -c HYBRID_CLUSTER_NAME --enable-apis \
    --create-service-accounts --project-id=CLOUD_PROJECT_ID

Here's an example to create a config file for a hybrid cluster called hybrid1 associated with project ID my-gcp-project:

bmctl create config -c hybrid1 --create-service-accounts --project-id=my-gcp-project

The file is written to bmctl-workspace/hybrid1/hybrid1.yaml.

As an alternative to automatically enabling APIs and creating service accounts, you can also provide your existing service accounts with proper IAM permissions. Thie means you can skip the automatic service account creation in the previous step in the bmctl command:

bmctl create config -c hybrid1

Edit the cluster config file

Now that you have a cluster config file, edit it to make the following changes:

Provide the SSH private key to access the hybrid cluster nodes:

# bmctl configuration variables. Because this section is valid YAML but not a valid Kubernetes
# resource, this section can only be included when using bmctl to
# create the initial admin/hybrid cluster. Afterwards, when creating user clusters by directly
# applying the cluster and node pool resources to the existing cluster, you must remove this
# section.
gcrKeyPath: bmctl-workspace/.sa-keys/my-gcp-project-anthos-baremetal-gcr.json
sshPrivateKeyPath: /path/to/your/ssh_private_key
gkeConnectAgentServiceAccountKeyPath: bmctl-workspace/.sa-keys/my-gcp-project-anthos-baremetal-connect.json
gkeConnectRegisterServiceAccountKeyPath: bmctl-workspace/.sa-keys/my-gcp-project-anthos-baremetal-register.json
cloudOperationsServiceAccountKeyPath: bmctl-workspace/.sa-keys/my-gcp-project-anthos-baremetal-cloud-ops.json

Register your clusters to a fleet. The project ID that you specified in the bmctl create config command is automatically added to the gkeConnect.projectID field in the cluster config file. This project is referred to as the fleet host project.
- If you created your config file, using the automatic API enablement and Service Account creation features, you can skip this step.
- If you created the config file without using the automatic API enablement and Service Account creation features, reference the downloaded service account JSON keys in the corresponding gkeConnectAgentServiceAccountKeyPath and gkeConnectRegisterServiceAccountKeyPath fields of the cluster config file.

Change the config to specify a cluster type of hybrid instead of admin:

spec:
  # Cluster type. This can be:
  #   1) admin:  to create an admin cluster. This can later be used to create user clusters.
  #   2) user:   to create a user cluster. Requires an existing admin cluster.
  #   3) hybrid: to create a hybrid cluster that runs admin cluster components and user workloads.
  #   4) standalone: to create a cluster that manages itself, runs user workloads, but does not manage other clusters.
  type: hybrid

Change the config to specify a multi-node, high availability control plane. You want to specify an odd number of nodes to be able to have a majority quorum for HA:
```
  # Control plane configuration
  controlPlane:
    nodePoolSpec:
      nodes:
      # Control plane node pools. Typically, this is either a single machine
      # or 3 machines if using a high availability deployment.
      - address: 10.200.0.4
      - address: 10.200.0.5
      - address: 10.200.0.6
```
Note: If you have an even number of nodes temporarily while adding or removing nodes for maintenance or replacement, your deployment maintains HA as long as you have enough quorum.
Specify the pod density of cluster nodes and the container runtime:
```
....
# NodeConfig specifies the configuration that applies to all nodes in the cluster.
nodeConfig:
  # podDensity specifies the pod density configuration.
  podDensity:
    # maxPodsPerNode specifies at most how many pods can be run on a single node.
    maxPodsPerNode: 250
  # containerRuntime specifies which container runtime to use for scheduling containers on nodes.
  # containerd and docker are supported.
  containerRuntime: containerd
....
```
For hybrid clusters, allowable values for maxPodsPerNode are 32-250 for HA clusters and 64-250 for non-HA clusters. The default value for maxPodsPerNode if unspecified is 110. Once the cluster is created, this value cannot be updated.

The default container runtime is containerd. Alternatively, you can use Docker. For more information about changing your runtime, see our Change your container runtime guide.

Pod density is also limited by your cluster's available IP resources. For details, see Pod networking.

Create the hybrid cluster with the cluster config

Use the bmctl command to deploy the cluster:

bmctl create cluster -c CLUSTER_NAME

CLUSTER_NAME specifies cluster name you created in the previous section.

The following shows an example of the command to create a config file for a cluster called hybrid1:

bmctl create cluster -c hybrid1

Sample hybrid cluster configurations

For example hybrid cluster configurations, see Hybrid clusters in the Cluster configuration samples.