Version 1.15. This version is no longer supported. For information about how to upgrade to version 1.16, see Upgrade clusters in the latest documentation. For more information about supported and unsupported versions, see the Version history page in the latest documentation.

Deploy Distributed Cloud on OpenStack

Google Distributed Cloud supports using OpenStack as a private cloud platform. This support allows you to use the following OpenStack services:

Infrastructure as a Service (IaaS)
Load balancing as a Service (LBaaS)
Storage

You can deploy Google Distributed Cloud running in OpenStack virtual machines (VMs) with supported operating systems. Google Distributed Cloud doesn't provision the VMs automatically, and provisioning the VMs is outside the scope of this guide. To learn the VM requirements and review an example deployment, see the Terraform example to create OpenStack VMs.

You can use the OpenStack LBaaS and the Kubernetes OpenStack Cloud Provider in Google Distributed Cloud to expose the Kubernetes services outside of the OpenStack cluster.

The guide consists of the following sections:

Deploy Google Distributed Cloud
Configure the OpenStack Cloud Provider for Kubernetes in Google Distributed Cloud to integrate with the Octavia load balancers
Validate the OpenStack Cloud Provider for Kubernetes integration

This guide uses OpenStack Ussuri, but it could work with older versions of OpenStack. Older OpenStack versions haven't been tested. The guide uses OpenStack VMs to provide you with a two-node Google Distributed Cloud proof of concept environment running on OpenStack. For information about creating a production environment with a high-availability control plane, see the Google Distributed Cloud documentation for production environment requirements.

Example deployment

This guide provides you with an example deployment of Google Distributed Cloud on OpenStack that integrates with OpenStack's LBaaS. You must understand and adjust the commands and configuration values to suit your OpenStack environment. The following diagram shows the resulting deployment:

Google Distributed Cloud installed on OpenStack.

Prerequisites

OpenStack Ussuri with LBaaS v2 deployed and functional
Service account for downloading the bmctl tool
Configure your OpenStack VMs and network as shown in the example deployment. To provision a similar setup in your OpenStack environment, you have the following options:
1. Use this Terraform script to provision the resources automatically.
2. Provision the resources manually.
The following OpenStack VMs must be ready and available through SSH:

Name	Usage	IP address
abm-ws	10.200.0.10 *(private IP)* floating_ip *(public IP)*	Acts as the admin workstation It is used to deploy Anthos on bare metal to the other machines.
abm-cp1	10.200.0.11	Anthos cluster control plane: This host runs the Kubernetes control plane and load balancer.
abm-w1	10.200.0.12	Anthos cluster worker node: This host runs the Kubernetes workloads.

Deploy Google Distributed Cloud

This section shows you how to complete the following tasks:

Install the tools you need on the abm-ws admin workstation VM.
Configure the project ID and service account needed to securely complete the deployment
Create a cluster configuration file
Deploy Google Distributed Cloud

Install the tools you need

Fetch the public floating IP address of the abm-ws VM.

export OPENSTACK_IPS=$(openstack floating ip list --tags=abm_ws_floatingip -f json)
export FLOATING_IP=$(jq -c '.[]."Floating IP Address"' <<< $OPENSTACK_IPS | tr -d '"')

Ensure you can connect securely into the abm-ws VM via SSH and log in as a root user. The root user as configured by the Terraform scripts is abm.
```
ssh ubuntu@$FLOATING_IP
sudo -u abm -i
```
Note: If you have public key authentication configured for your VM use the "-o IdentitiesOnly=yes -i <PATH_TO_KEY>" flags with the SSH command.

Verify that you can SSH into the other nodes.

ssh abm@10.200.0.11 'echo SSH to $HOSTNAME succeeded'
ssh abm@10.200.0.12 'echo SSH to $HOSTNAME succeeded'

The expected output for the above commands are:

SSH to abm-cp1 succeeded
SSH to abm-w1 succeeded

Download the kubectl command line utility on the abm-ws VM.

curl -LO "https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/linux/amd64/kubectl"
chmod +x kubectl
sudo mv kubectl /usr/local/sbin/

Install Docker on the abm-ws VM.

curl -fsSL https://get.docker.com -o get-docker.sh
sh get-docker.sh
sudo usermod -aG docker abm
newgrp docker

Configure the Google Cloud project and service account

Obtain Google Cloud CLI access credentials for your user account. This will be used when using the gcloud commands that follow.

gcloud auth login

Make sure the Google Cloud CLI is configured to use the Google Cloud project in which you want your Google Distributed Cloud to be registered.

gcloud config set project PROJECT_ID

Set the Application Default Credentials (ADC) for your user account in the admin workstation. This will be used when the bmctl tool is used for cluster creation.
```
gcloud auth application-default login
```

Create the bm-gcr service account. You use this service account to authenticate from the Google Distributed Cloud cluster.

gcloud iam service-accounts create bm-gcr

gcloud iam service-accounts keys create bm-gcr.json \
  --iam-account=bm-gcr@PROJECT_ID.iam.gserviceaccount.com

Enable the necessary APIs.

gcloud services enable \
  anthos.googleapis.com \
  anthosaudit.googleapis.com \
  anthosgke.googleapis.com \
  cloudresourcemanager.googleapis.com \
  connectgateway.googleapis.com \
  container.googleapis.com \
  gkeconnect.googleapis.com \
  gkehub.googleapis.com \
  gkeonprem.googleapis.com \
  iam.googleapis.com \
  logging.googleapis.com \
  monitoring.googleapis.com \
  opsconfigmonitoring.googleapis.com \
  serviceusage.googleapis.com \
  stackdriver.googleapis.com \
  storage.googleapis.com

Give additional permissions to the bm-gcr service account. Adding the permissions means you don't need to create multiple service accounts for individual services.

gcloud projects add-iam-policy-binding PROJECT_ID \
  --member="serviceAccount:bm-gcr@PROJECT_ID.iam.gserviceaccount.com" \
  --role="roles/gkehub.connect"

gcloud projects add-iam-policy-binding PROJECT_ID \
  --member="serviceAccount:bm-gcr@PROJECT_ID.iam.gserviceaccount.com" \
  --role="roles/gkehub.admin"

gcloud projects add-iam-policy-binding PROJECT_ID \
  --member="serviceAccount:bm-gcr@PROJECT_ID.iam.gserviceaccount.com" \
  --role="roles/logging.logWriter"

gcloud projects add-iam-policy-binding PROJECT_ID \
  --member="serviceAccount:bm-gcr@PROJECT_ID.iam.gserviceaccount.com" \
  --role="roles/monitoring.metricWriter"

gcloud projects add-iam-policy-binding PROJECT_ID \
  --member="serviceAccount:bm-gcr@PROJECT_ID.iam.gserviceaccount.com" \
  --role="roles/monitoring.dashboardEditor"

gcloud projects add-iam-policy-binding PROJECT_ID \
  --member="serviceAccount:bm-gcr@PROJECT_ID.iam.gserviceaccount.com" \
  --role="roles/stackdriver.resourceMetadata.writer"

gcloud projects add-iam-policy-binding PROJECT_ID \
  --member="serviceAccount:bm-gcr@PROJECT_ID.iam.gserviceaccount.com" \
  --role="roles/opsconfigmonitoring.resourceMetadata.writer"

Create a cluster configuration file

Download the bmctl command line utility.

mkdir baremetal && cd baremetal
gcloud storage cp gs://anthos-baremetal-release/bmctl/1.15.11/linux-amd64/bmctl .
chmod a+x bmctl
sudo mv bmctl /usr/local/sbin/

Create a Google Distributed Cloud workspace for your cluster.
```
bmctl create config -c CLUSTER_NAME
```

Create the configuration file for your Google Distributed Cloud cluster.

cat > bmctl-workspace/CLUSTER_NAME/CLUSTER_NAME.yaml << EOB
---
gcrKeyPath: /home/abm/bm-gcr.json
sshPrivateKeyPath: /home/abm/.ssh/id_rsa
gkeConnectAgentServiceAccountKeyPath: /home/abm/bm-gcr.json
gkeConnectRegisterServiceAccountKeyPath: /home/abm/bm-gcr.json
cloudOperationsServiceAccountKeyPath: /home/abm/bm-gcr.json
---
apiVersion: v1
kind: Namespace
metadata:
  name: openstack-cluster-ns
---
apiVersion: baremetal.cluster.gke.io/v1
kind: Cluster
metadata:
  name: CLUSTER_NAME
  namespace: openstack-cluster-ns
  annotations:
    baremetal.cluster.gke.io/external-cloud-provider: "true"
spec:
  type: hybrid
  anthosBareMetalVersion: 1.15.11
  gkeConnect:
    projectID: PROJECT_ID
  controlPlane:
    nodePoolSpec:
      clusterName: CLUSTER_NAME
      nodes:
      - address: 10.200.0.11
  clusterNetwork:
    pods:
      cidrBlocks:
      - 192.168.0.0/16
    services:
      cidrBlocks:
      - 10.96.0.0/20
  loadBalancer:
    mode: manual
    ports:
      controlPlaneLBPort: 443
    vips:
      controlPlaneVIP: 10.200.0.101
      ingressVIP: 10.200.0.102
  clusterOperations:
    location: us-central1
    projectID: PROJECT_ID
  storage:
    lvpNodeMounts:
      path: /mnt/localpv-disk
      storageClassName: node-disk
    lvpShare:
      numPVUnderSharedPath: 5
      path: /mnt/localpv-share
      storageClassName: standard
  nodeAccess:
    loginUser: abm

---
apiVersion: baremetal.cluster.gke.io/v1
kind: NodePool
metadata:
  name: node-pool-1
  namespace: openstack-cluster-ns
spec:
  clusterName: CLUSTER_NAME
  nodes:
  - address: 10.200.0.12
EOB

Deploy

Deploy the cluster.
```
bmctl create cluster -c CLUSTER_NAME
```

Running the bmctl command starts setting up a new hybrid cluster. This includes doing preflight checks on the nodes, creating the admin and user clusters and also registering the cluster with Google Cloud using Connect. The whole setup can take up to 15 minutes. You see the following output as the cluster is being created:

Please check the logs at bmctl-workspace/CLUSTER_NAME/log/create-cluster-20210926-020741/create-cluster.log
[2021-09-26 02:07:59+0000] Creating bootstrap cluster... ⠦ kind get kubeconfig --name bmctl > ~/.kube/config && k get pods --all-namespaces
[2021-09-26 02:07:59+0000] Creating bootstrap cluster... OK
[2021-09-26 02:10:48+0000] Installing dependency components... OK
[2021-09-26 02:13:42+0000] Waiting for preflight check job to finish... OK
[2021-09-26 02:15:22+0000] - Validation Category: machines and network
[2021-09-26 02:15:22+0000]  - [PASSED] gcp
[2021-09-26 02:15:22+0000]  - [PASSED] node-network
[2021-09-26 02:15:22+0000]  - [PASSED] 10.200.0.11
[2021-09-26 02:15:22+0000]  - [PASSED] 10.200.0.11-gcp
[2021-09-26 02:15:22+0000]  - [PASSED] 10.200.0.12
[2021-09-26 02:15:22+0000]  - [PASSED] 10.200.0.12-gcp
[2021-09-26 02:15:22+0000] Flushing logs... OK
[2021-09-26 02:15:23+0000] Applying resources for new cluster
[2021-09-26 02:15:24+0000] Waiting for cluster to become ready OK
[2021-09-26 02:25:04+0000] Writing kubeconfig file
[2021-09-26 02:25:04+0000] kubeconfig of created cluster is at bmctl-workspace/CLUSTER_NAME/CLUSTER_NAME-kubeconfig, please run
[2021-09-26 02:25:04+0000] kubectl --kubeconfig bmctl-workspace/CLUSTER_NAME/CLUSTER_NAME-kubeconfig get nodes
[2021-09-26 02:25:04+0000] to get cluster node status.
[2021-09-26 02:25:04+0000] Please restrict access to this file as it contains authentication credentials of your cluster.
[2021-09-26 02:25:04+0000] Waiting for node pools to become ready OK
[2021-09-26 02:25:24+0000] Moving admin cluster resources to the created admin cluster
[2021-09-26 02:25:53+0000] Flushing logs... OK
[2021-09-26 02:25:53+0000] Deleting bootstrap cluster...

Verify and interact with the cluster

You can find your cluster's kubeconfig file on the abm-ws VM inside the bmctl-workspace directory. To verify your deployment, complete the following steps.

Set the KUBECONFIG environment variable with the path to the cluster's configuration file to run kubectl commands on the cluster:

export KUBECONFIG=$HOME/bmctl-workspace/CLUSTER_NAME/CLUSTER_NAME-kubeconfig
kubectl get nodes

You should see the nodes of the cluster printed, similar to the following output:

NAME      STATUS   ROLES                  AGE     VERSION
abm-cp1   Ready    control-plane,master   5m24s   v1.20.5-gke.1301
abm-w1    Ready    <none>                 2m17s   v1.20.5-gke.1301

Log in to your cluster from Google Cloud console

To observe your workloads in the Google Cloud console, you must log in to the cluster. For instructions and more information about logging into your cluster, see Logging in to a cluster from Google Cloud console.

Clean up

You can clean up the cluster by issuing the following command in your admin workstation (abm-ws) VM.

export KUBECONFIG=$HOME/bmctl-workspace/CLUSTER_NAME/CLUSTER_NAME-kubeconfig
bmctl reset --cluster CLUSTER_NAME

What's next?

You can now install the OpenStack Cloud Provider on the newly created Google Distributed Cloud cluster by following the Configure the OpenStack Cloud Provider for Kubernetes guide. This enables you to expose your applications using a LoadBalancer type service, leveraging OpenStack's LBaaS.