Restricted network GCP installation - Installing on GCP | Installing

Prerequisites
Configuring your GCP project
Creating the installation files for GCP
- Creating the installation configuration file
- Creating the Kubernetes manifest and Ignition config files
Exporting common variables
- Extracting the infrastructure name
- Exporting common variables for deployment Manager templates
Creating a VPC in GCP
- deployment Manager template for the VPC
Creating networking and load balancing components in GCP
- deployment Manager template for the network and load balancers
Creating firewall rules and IAM roles in GCP
- deployment Manager template for firewall rules and IAM roles
Creating the RHCOS cluster image for the GCP infrastructure
Creating the bootstrap machine in GCP
- deployment Manager template for the bootstrap machine
Creating the control plane machines in GCP
- deployment Manager template for control plane machines
Wait for bootstrap completion and remove bootstrap resources in GCP
Creating additional worker machines in GCP
- deployment Manager template for worker machines
Logging in to the cluster
Approving the certificate signing requests for your machines
Optional: Adding the ingress DNS records
Completing a GCP installation on user-provisioned infrastructure
Next steps

In OpenShift Container Platform version 4.4, you can install a cluster on Google Cloud Platform (GCP) that uses infrastructure that you provide and an internal mirror of the installation release content.

While you can install an OpenShift Container Platform cluster by using mirrored installation release content, your cluster still requires internet access to use the GCP APIs.

The steps for performing a user-provided infrastructure install are outlined here. Several deployment Manager templates are provided to assist in completing these steps or to help model your own. You are also free to create the required resources through other methods; the templates are just an example.

Prerequisites

Create a mirror registry on your bastion host and obtain the imageContentSources data for your version of OpenShift Container Platform.

Because the installation media is on the bastion host, use that computer to complete all installation steps.
Review details about the OpenShift Container Platform installation and update processes.
If you use a firewall, you must configure it to allow the sites that your cluster requires access to. While you might need to grant access to more sites, you must grant access to *.googleapis.com and accounts.google.com.
If you do not allow the system to manage identity and access management (IAM), then a cluster administrator can manually create and maintain IAM credentials. Manual mode can also be used in environments where the cloud IAM APIs are not reachable.

Configuring your GCP project

Before you can install OpenShift Container Platform, you must configure a Google Cloud Platform (GCP) project to host it.

Creating a GCP project

To install OpenShift Container Platform, you must create a project in your Google Cloud Platform (GCP) account to host the cluster.

Procedure

Create a project to host your OpenShift Container Platform cluster. See Creating and Managing Projects in the GCP documentation.

Enabling API services in GCP

Your Google Cloud Platform (GCP) project requires access to several API services to complete OpenShift Container Platform installation.

Prerequisites

You created a project to host your cluster.

Procedure

Enable the following required API services in the project that hosts your cluster. See Enabling services in the GCP documentation.

Table 1. Required API services
API service	Console service name
Compute Engine API	`compute.googleapis.com`
Google Cloud APIs	`cloudapis.googleapis.com`
Cloud Resource Manager API	`cloudresourcemanager.googleapis.com`
Google DNS API	`dns.googleapis.com`
IAM Service Account Credentials API	`iamcredentials.googleapis.com`
Identity and Access Management (IAM) API	`iam.googleapis.com`
Service Management API	`servicemanagement.googleapis.com`
Service Usage API	`serviceusage.googleapis.com`
Google Cloud Storage JSON API	`storage-api.googleapis.com`
Cloud Storage	`storage-component.googleapis.com`

Configuring DNS for GCP

To install OpenShift Container Platform, the Google Cloud Platform (GCP) account you use must have a dedicated public hosted zone in the same project that you host the OpenShift Container Platform cluster. This zone must be authoritative for the domain. The DNS service provides cluster DNS resolution and name lookup for external connections to the cluster.

Procedure

Identify your domain, or subdomain, and registrar. You can transfer an existing domain and registrar or obtain a new one through GCP or another source.

If you purchase a new domain, it can take time for the relevant DNS changes to propagate. For more information about purchasing domains through Google, see Google Domains.
Create a public hosted zone for your domain or subdomain in your GCP project. See Creating public zones in the GCP documentation.

Use an appropriate root domain, such as openshiftcorp.com, or subdomain, such as clusters.openshiftcorp.com.
Extract the new authoritative name servers from the hosted zone records. See Look up your Cloud DNS name servers in the GCP documentation.

You typically have four name servers.
Update the registrar records for the name servers that your domain uses. For example, if you registered your domain to Google Domains, see the following topic in the Google Domains Help: How to switch to custom name servers.
If you migrated your root domain to Google Cloud DNS, migrate your DNS records. See Migrating to Cloud DNS in the GCP documentation.
If you use a subdomain, follow your company’s procedures to add its delegation records to the parent domain. This process might include a request to your company’s IT department or the division that controls the root domain and DNS services for your company.

GCP account limits

The OpenShift Container Platform cluster uses a number of Google Cloud Platform (GCP) components, but the default Quotas do not affect your ability to install a default OpenShift Container Platform cluster.

A default cluster, which contains three compute and three control plane machines, uses the following resources. Note that some resources are required only during the bootstrap process and are removed after the cluster deploys.

Table 2. GCP resources used in a default cluster
Service	Component	Location	Total resources required	Resources removed after bootstrap
Service account	IAM	Global	5	0
Firewall rules	Networking	Global	11	1
Forwarding rules	Compute	Global	2	0
Health checks	Compute	Global	2	0
Images	Compute	Global	1	0
Networks	Networking	Global	1	0
Routers	Networking	Global	1	0
Routes	Networking	Global	2	0
Subnetworks	Compute	Global	2	0
Target pools	Networking	Global	2	0

If any of the quotas are insufficient during installation, the installation program displays an error that states both which quota was exceeded and the region.

Be sure to consider your actual cluster size, planned cluster growth, and any usage from other clusters that are associated with your account. The CPU, static IP addresses, and persistent disk SSD (storage) quotas are the ones that are most likely to be insufficient.

If you plan to deploy your cluster in one of the following regions, you will exceed the maximum storage quota and are likely to exceed the CPU quota limit:

asia-east2
asia-northeast2
asia-south1
australia-southeast1
europe-north1
europe-west2
europe-west3
europe-west6
northamerica-northeast1
southamerica-east1
us-west2

You can increase resource quotas from the GCP console, but you might need to file a support ticket. Be sure to plan your cluster size early so that you can allow time to resolve the support ticket before you install your OpenShift Container Platform cluster. :!template:

Creating a service account in GCP

OpenShift Container Platform requires a Google Cloud Platform (GCP) service account that provides authentication and authorization to access data in the Google APIs. If you do not have an existing IAM service account that contains the required roles in your project, you must create one.

Prerequisites

You created a project to host your cluster.

Procedure

Create a service account in the project that you use to host your OpenShift Container Platform cluster. See Creating a service account in the GCP documentation.

Grant the service account the appropriate permissions. You can either grant the individual permissions that follow or assign the Owner role to it. See Granting roles to a service account for specific resources.

While making the service account an owner of the project is the easiest way to gain the required permissions, it means that service account has complete control over the project. You must determine if the risk that comes from offering that power is acceptable.

Create the service account key in JSON format. See Creating service account keys in the GCP documentation.

The service account key is required to create a cluster.

Required GCP permissions

When you attach the Owner role to the service account that you create, you grant that service account all permissions, including those that are required to install OpenShift Container Platform. To deploy an OpenShift Container Platform cluster, the service account requires the following permissions. If you deploy your cluster into an existing VPC, the service account does not require certain networking permissions, which are noted in the following lists:

Required roles for the installation program

Compute Admin
Security Admin
Service Account Admin
Service Account User
Storage Admin

Required roles for creating network resources during installation

DNS Administrator

Required roles for user-provisioned GCP infrastructure

deployment Manager Editor
Service Account Key Admin

Optional roles

For the cluster to create new limited credentials for its Operators, add the following role:

Service Account Key Admin

The roles are applied to the service accounts that the control plane and compute machines use:

Table 3. GCP service account permissions
Account	Roles
Control Plane	`roles/compute.instanceAdmin`
	`roles/compute.networkAdmin`
	`roles/compute.securityAdmin`
	`roles/storage.admin`
	`roles/iam.serviceAccountUser`
Compute	`roles/compute.viewer`
Compute	`roles/storage.admin`

Supported GCP regions

You can deploy an OpenShift Container Platform cluster to the following Google Cloud Platform (GCP) regions:

asia-east1 (Changhua County, Taiwan)
asia-east2 (Hong Kong)
asia-northeast1 (Tokyo, Japan)
asia-northeast2 (Osaka, Japan)
asia-south1 (Mumbai, India)
asia-southeast1 (Jurong West, Singapore)
australia-southeast1 (Sydney, Australia)
europe-north1 (Hamina, Finland)
europe-west1 (St. Ghislain, Belgium)
europe-west2 (London, England, UK)
europe-west3 (Frankfurt, Germany)
europe-west4 (Eemshaven, Netherlands)
europe-west6 (Zürich, Switzerland)
northamerica-northeast1 (Montréal, Québec, Canada)
southamerica-east1 (São Paulo, Brazil)
us-central1 (Council Bluffs, Iowa, USA)
us-east1 (Moncks Corner, South Carolina, USA)
us-east4 (Ashburn, Northern Virginia, USA)
us-west1 (The Dalles, Oregon, USA)
us-west2 (Los Angeles, California, USA)

Installing and configuring CLI tools for GCP

To install OpenShift Container Platform on Google Cloud Platform (GCP) using user-provisioned infrastructure, you must install and configure the CLI tools for GCP.

Prerequisites

You created a project to host your cluster.
You created a service account and granted it the required permissions.

Procedure

Install the following binaries in $PATH:
- gcloud
- gsutil
See Install the latest Cloud SDK version in the GCP documentation.
Authenticate using the gcloud tool with your configured service account.

Creating the installation files for GCP

To install OpenShift Container Platform on Google Cloud Platform (GCP) using user-provisioned infrastructure, you must generate the files that the installation program needs to deploy your cluster and modify them so that the cluster creates only the machines that it will use. You generate and customize the install-config.yaml file, Kubernetes manifests, and Ignition config files.

Creating the installation configuration file

You can customize the OpenShift Container Platform cluster you install on Google Cloud Platform (GCP).

Prerequisites

Obtain the OpenShift Container Platform installation program and the pull secret for your cluster.

Procedure

Create the install-config.yaml file.

Run the following command:

$ ./openshift-install create install-config --dir=<installation_directory> (1)

1	For `<installation_directory>`, specify the directory name to store the files that the installation program creates.

Specify an empty directory. Some installation assets, like bootstrap X.509 certificates have short expiration intervals, so you must not reuse an installation directory. If you want to reuse individual files from another cluster installation, you can copy them into your directory. However, the file names for the installation assets might change between releases. Use caution when copying installation files from an earlier OpenShift Container Platform version.

At the prompts, provide the configuration details for your cloud:
1. Optional: Select an SSH key to use to access your cluster machines.
  
  For production OpenShift Container Platform clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your ssh-agent process uses.
2. Select gcp as the platform to target.
3. If you have not configured the service account key for your GCP account on your computer, you must obtain it from GCP and paste the contents of the file or enter the absolute path to the file.
4. Select the project ID to provision the cluster in. The default value is specified by the service account that you configured.
5. Select the region to deploy the cluster to.
6. Select the base domain to deploy the cluster to. The base domain corresponds to the public DNS zone that you created for your cluster.
7. Enter a descriptive name for your cluster. If you provide a name that is longer than 6 characters, only the first 6 characters will be used in the infrastructure ID that is generated from the cluster name.
8. Paste the pull secret that you obtained from the Pull Secret page on the Red Hat OpenShift Cluster Manager site.

Modify the install-config.yaml file. You can find more information about the available parameters in the Installation configuration parameters section.
Back up the install-config.yaml file so that you can use it to install multiple clusters.

The install-config.yaml file is consumed during the installation process. If you want to reuse the file, you must back it up now.

Creating the Kubernetes manifest and Ignition config files

Because you must modify some cluster definition files and manually start the cluster machines, you must generate the Kubernetes manifest and Ignition config files that the cluster needs to make its machines.

The Ignition config files that the installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending node-bootstrapper certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information.

Prerequisites

Obtain the OpenShift Container Platform installation program. For a restricted network installation, these files are on your mirror host.
Create the install-config.yaml installation configuration file.

Procedure

Generate the Kubernetes manifests for the cluster:
```
$ ./openshift-install create manifests --dir=<installation_directory> (1)

INFO Consuming Install Config from target directory
WARNING Making control-plane schedulable by setting MastersSchedulable to true for Scheduler cluster settings
```
1 For <installation_directory>, specify the installation directory that contains the install-config.yaml file you created.

Because you create your own compute machines later in the installation process, you can safely ignore this warning.
Remove the Kubernetes manifest files that define the control plane machines:
```
$ rm -f <installation_directory>/openshift/99_openshift-cluster-api_master-machines-*.yaml
```
By removing these files, you prevent the cluster from automatically generating control plane machines.
Optional: If you do not want the cluster to provision compute machines, remove the Kubernetes manifest files that define the worker machines:
```
$ rm -f <installation_directory>/openshift/99_openshift-cluster-api_worker-machineset-*.yaml
```
Because you create and manage the worker machines yourself, you do not need to initialize these machines.

Modify the <installation_directory>/manifests/cluster-scheduler-02-config.yml Kubernetes manifest file to prevent pods from being scheduled on the control plane machines:

Open the <installation_directory>/manifests/cluster-scheduler-02-config.yml file.
Locate the mastersSchedulable parameter and set its value to False.
Save and exit the file.

Currently, due to a Kubernetes limitation, router Pods running on control plane machines will not be reachable by the ingress load balancer. This step might not be required in a future minor version of OpenShift Container Platform.

Optional: If you do not want the Ingress Operator to create DNS records on your behalf, remove the privateZone and publicZone sections from the <installation_directory>/manifests/cluster-dns-02-config.yml DNS configuration file:
```
apiVersion: config.openshift.io/v1
kind: DNS
metadata:
  creationTimestamp: null
  name: cluster
spec:
  baseDomain: example.openshift.com
  privateZone: (1)
    id: mycluster-100419-private-zone
  publicZone: (1)
    id: example.openshift.com
status: {}
```
1 Remove these sections completely.

If you do so, you must add ingress DNS records manually in a later step.

Obtain the Ignition config files:

$ ./openshift-install create ignition-configs --dir=<installation_directory> (1)

1	For `<installation_directory>`, specify the same installation directory.

The following files are generated in the directory:

.
├── auth
│   ├── kubeadmin-password
│   └── kubeconfig
├── bootstrap.ign
├── master.ign
├── metadata.json
└── worker.ign

Additional resources

Optional: Adding the ingress DNS records

Exporting common variables

Extracting the infrastructure name

The Ignition configs contain a unique cluster identifier that you can use to uniquely identify your cluster in Google Cloud Platform (GCP). The provided deployment Manager templates contain references to this infrastructure name, so you must extract it.

Prerequisites

Obtain the OpenShift Container Platform installation program and the pull secret for your cluster.
Generate the Ignition config files for your cluster.
Install the jq package.

Procedure

To extract and view the infrastructure name from the Ignition config file metadata, run the following command:
```
$ jq -r .infraID /<installation_directory>/metadata.json (1)
openshift-vw9j6 (2)
```
1 For <installation_directory>, specify the path to the directory that you stored the installation files in.

2 The output of this command is your cluster name and a random string.

Exporting common variables for deployment Manager templates

You must export a common set of variables that are used with the provided deployment Manager templates used to assist in completing a user-provided infrastructure install on Google Cloud Platform (GCP).

Specific deployment Manager templates can also require additional exported variables, which are detailed in their related procedures.

Prerequisites

Obtain the OpenShift Container Platform installation program and the pull secret for your cluster.
Generate the Ignition config files for your cluster.
Install the jq package.

Procedure

Export the following common variables to be used by the provided deployment Manager templates:

$ export BASE_DOMAIN='<base_domain>'
$ export BASE_DOMAIN_ZONE_NAME='<base_domain_zone_name>'
$ export NETWORK_CIDR='10.0.0.0/16'
$ export MASTER_SUBNET_CIDR='10.0.0.0/19'
$ export WORKER_SUBNET_CIDR='10.0.32.0/19'

$ export KUBECONFIG=<installation_directory>/auth/kubeconfig (1)
$ export CLUSTER_NAME=`jq -r .clusterName <installation_directory>/metadata.json`
$ export INFRA_ID=`jq -r .infraID <installation_directory>/metadata.json`
$ export PROJECT_NAME=`jq -r .gcp.projectID <installation_directory>/metadata.json`
$ export REGION=`jq -r .gcp.region <installation_directory>/metadata.json`

1	For `<installation_directory>`, specify the path to the directory that you stored the installation files in.

Creating a VPC in GCP

You must create a VPC in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. You can customize the VPC to meet your requirements. One way to create the VPC is to modify the provided deployment Manager template.

If you do not use the provided deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs.

Prerequisites

Configure a GCP account.
Generate the Ignition config files for your cluster.

Procedure

Copy the template from the deployment Manager template for the VPC section of this topic and save it as 01_vpc.py on your computer. This template describes the VPC that your cluster requires.

Create a 01_vpc.yaml resource definition file:

$ cat <<EOF >01_vpc.yaml
imports:
- path: 01_vpc.py

resources:
- name: cluster-vpc
  type: 01_vpc.py
  properties:
    infra_id: '${INFRA_ID}' (1)
    region: '${REGION}' (2)
    master_subnet_cidr: '${MASTER_SUBNET_CIDR}' (3)
    worker_subnet_cidr: '${WORKER_SUBNET_CIDR}' (4)
EOF

1	`infra_id` is the `INFRA_ID` infrastructure name from the extraction step.
2	`region` is the region to deploy the cluster into, for example `us-east1`.
3	`master_subnet_cidr` is the CIDR for the master subnet, for example `10.0.0.0/19`.
4	`worker_subnet_cidr` is the CIDR for the worker subnet, for example `10.0.32.0/19`.

Create the deployment by using the gcloud CLI:

$ gcloud deployment-manager deployments create ${INFRA_ID}-vpc --config 01_vpc.yaml

deployment Manager template for the VPC

You can use the following deployment Manager template to deploy the VPC that you need for your OpenShift Container Platform cluster:

01_vpc.py deployment Manager template

def GenerateConfig(context):

    resources = [{
        'name': context.properties['infra_id'] + '-network',
        'type': 'compute.v1.network',
        'properties': {
            'region': context.properties['region'],
            'autoCreateSubnetworks': False
        }
    }, {
        'name': context.properties['infra_id'] + '-master-subnet',
        'type': 'compute.v1.subnetwork',
        'properties': {
            'region': context.properties['region'],
            'network': '$(ref.' + context.properties['infra_id'] + '-network.selfLink)',
            'ipCidrRange': context.properties['master_subnet_cidr']
        }
    }, {
        'name': context.properties['infra_id'] + '-worker-subnet',
        'type': 'compute.v1.subnetwork',
        'properties': {
            'region': context.properties['region'],
            'network': '$(ref.' + context.properties['infra_id'] + '-network.selfLink)',
            'ipCidrRange': context.properties['worker_subnet_cidr']
        }
    }, {
        'name': context.properties['infra_id'] + '-master-nat-ip',
        'type': 'compute.v1.address',
        'properties': {
            'region': context.properties['region']
        }
    }, {
        'name': context.properties['infra_id'] + '-worker-nat-ip',
        'type': 'compute.v1.address',
        'properties': {
            'region': context.properties['region']
        }
    }, {
        'name': context.properties['infra_id'] + '-router',
        'type': 'compute.v1.router',
        'properties': {
            'region': context.properties['region'],
            'network': '$(ref.' + context.properties['infra_id'] + '-network.selfLink)',
            'nats': [{
                'name': context.properties['infra_id'] + '-nat-master',
                'natIpAllocateOption': 'MANUAL_ONLY',
                'natIps': ['$(ref.' + context.properties['infra_id'] + '-master-nat-ip.selfLink)'],
                'minPortsPerVm': 7168,
                'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS',
                'subnetworks': [{
                    'name': '$(ref.' + context.properties['infra_id'] + '-master-subnet.selfLink)',
                    'sourceIpRangesToNat': ['ALL_IP_RANGES']
                }]
            }, {
                'name': context.properties['infra_id'] + '-nat-worker',
                'natIpAllocateOption': 'MANUAL_ONLY',
                'natIps': ['$(ref.' + context.properties['infra_id'] + '-worker-nat-ip.selfLink)'],
                'minPortsPerVm': 128,
                'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS',
                'subnetworks': [{
                    'name': '$(ref.' + context.properties['infra_id'] + '-worker-subnet.selfLink)',
                    'sourceIpRangesToNat': ['ALL_IP_RANGES']
                }]
            }]
        }
    }]

    return {'resources': resources}

Creating networking and load balancing components in GCP

You must configure networking and load balancing in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create these components is to modify the provided deployment Manager template.

Prerequisites

Configure a GCP account.
Generate the Ignition config files for your cluster.
Create and configure a VPC and associated subnets in GCP.

Procedure

Copy the template from the deployment Manager template for the network and load balancers section of this topic and save it as 02_infra.py on your computer. This template describes the networking and load balancing objects that your cluster requires.

Export the following variable required by the resource definition:

$ export CLUSTER_NETWORK=`gcloud compute networks describe ${INFRA_ID}-network --format json | jq -r .selfLink`

Create a 02_infra.yaml resource definition file:

$ cat <<EOF >02_infra.yaml
imports:
- path: 02_infra.py

resources:
- name: cluster-infra
  type: 02_infra.py
  properties:
    infra_id: '${INFRA_ID}' (1)
    region: '${REGION}' (2)

    cluster_domain: '${CLUSTER_NAME}.${BASE_DOMAIN}' (3)
    cluster_network: '${CLUSTER_NETWORK}' (4)
EOF

1	`infra_id` is the `INFRA_ID` infrastructure name from the extraction step.
2	`region` is the region to deploy the cluster into, for example `us-east1`.
3	`cluster_domain` is the domain for the cluster, for example `openshift.example.com`.
4	`cluster_network` is the `selfLink` URL to the cluster network.

Create the deployment by using the gcloud CLI:

$ gcloud deployment-manager deployments create ${INFRA_ID}-infra --config 02_infra.yaml

The templates do not create DNS entries due to limitations of deployment Manager, so you must create them manually:

Export the following variable:

$ export CLUSTER_IP=`gcloud compute addresses describe ${INFRA_ID}-cluster-public-ip --region=${REGION} --format json | jq -r .address`

Add external DNS entries:

$ if [ -f transaction.yaml ]; then rm transaction.yaml; fi
$ gcloud dns record-sets transaction start --zone ${BASE_DOMAIN_ZONE_NAME}
$ gcloud dns record-sets transaction add ${CLUSTER_IP} --name api.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 60 --type A --zone ${BASE_DOMAIN_ZONE_NAME}
$ gcloud dns record-sets transaction execute --zone ${BASE_DOMAIN_ZONE_NAME}

Add internal DNS entries:

$ if [ -f transaction.yaml ]; then rm transaction.yaml; fi
$ gcloud dns record-sets transaction start --zone ${INFRA_ID}-private-zone
$ gcloud dns record-sets transaction add ${CLUSTER_IP} --name api.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 60 --type A --zone ${INFRA_ID}-private-zone
$ gcloud dns record-sets transaction add ${CLUSTER_IP} --name api-int.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 60 --type A --zone ${INFRA_ID}-private-zone
$ gcloud dns record-sets transaction execute --zone ${INFRA_ID}-private-zone

deployment Manager template for the network and load balancers

You can use the following deployment Manager template to deploy the networking objects and load balancers that you need for your OpenShift Container Platform cluster:

02_infra.py deployment Manager template

def GenerateConfig(context):

    resources = [{
        'name': context.properties['infra_id'] + '-cluster-public-ip',
        'type': 'compute.v1.address',
        'properties': {
            'region': context.properties['region']
        }
    }, {
        'name': context.properties['infra_id'] + '-api-http-health-check',
        'type': 'compute.v1.httpHealthCheck',
        'properties': {
            'port': 6080,
            'requestPath': '/readyz'
        }
    }, {
        'name': context.properties['infra_id'] + '-api-target-pool',
        'type': 'compute.v1.targetPool',
        'properties': {
            'region': context.properties['region'],
            'healthChecks': ['$(ref.' + context.properties['infra_id'] + '-api-http-health-check.selfLink)'],
            'instances': []
        }
    }, {
        'name': context.properties['infra_id'] + '-api-forwarding-rule',
        'type': 'compute.v1.forwardingRule',
        'properties': {
            'region': context.properties['region'],
            'IPAddress': '$(ref.' + context.properties['infra_id'] + '-cluster-public-ip.selfLink)',
            'target': '$(ref.' + context.properties['infra_id'] + '-api-target-pool.selfLink)',
            'portRange': '6443'
        }
    }, {
        'name': context.properties['infra_id'] + '-ign-http-health-check',
        'type': 'compute.v1.httpHealthCheck',
        'properties': {
            'port': 22624,
            'requestPath': '/healthz'
        }
    }, {
        'name': context.properties['infra_id'] + '-ign-target-pool',
        'type': 'compute.v1.targetPool',
        'properties': {
            'region': context.properties['region'],
            'healthChecks': ['$(ref.' + context.properties['infra_id'] + '-ign-http-health-check.selfLink)'],
            'instances': []
        }
    }, {
        'name': context.properties['infra_id'] + '-ign-forwarding-rule',
        'type': 'compute.v1.forwardingRule',
        'properties': {
            'region': context.properties['region'],
            'IPAddress': '$(ref.' + context.properties['infra_id'] + '-cluster-public-ip.selfLink)',
            'target': '$(ref.' + context.properties['infra_id'] + '-ign-target-pool.selfLink)',
            'portRange': '22623'
        }
    }, {
        'name': context.properties['infra_id'] + '-private-zone',
        'type': 'dns.v1.managedZone',
        'properties': {
            'description': '',
            'dnsName': context.properties['cluster_domain'] + '.',
            'visibility': 'private',
            'privateVisibilityConfig': {
                'networks': [{
                    'networkUrl': context.properties['cluster_network']
                }]
            }
        }
    }]

    return {'resources': resources}

Creating firewall rules and IAM roles in GCP

You must create security groups and roles in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create these components is to modify the provided deployment Manager template.

Prerequisites

Configure a GCP account.
Generate the Ignition config files for your cluster.
Create and configure a VPC and associated subnets in GCP.

Procedure

Copy the template from the deployment Manager template for firewall rules and IAM roles section of this topic and save it as 03_security.py on your computer. This template describes the security groups and roles that your cluster requires.

Export the following variables required by the resource definition:

$ export MASTER_NAT_IP=`gcloud compute addresses describe ${INFRA_ID}-master-nat-ip --region ${REGION} --format json | jq -r .address`
$ export WORKER_NAT_IP=`gcloud compute addresses describe ${INFRA_ID}-worker-nat-ip --region ${REGION} --format json | jq -r .address`

Create a 03_security.yaml resource definition file:

$ cat <<EOF >03_security.yaml
imports:
- path: 03_security.py

resources:
- name: cluster-security
  type: 03_security.py
  properties:
    infra_id: '${INFRA_ID}' (1)
    region: '${REGION}' (2)

    cluster_network: '${CLUSTER_NETWORK}' (3)
    network_cidr: '${NETWORK_CIDR}' (4)
    master_nat_ip: '${MASTER_NAT_IP}' (5)
    worker_nat_ip: '${WORKER_NAT_IP}' (6)
EOF

1	`infra_id` is the `INFRA_ID` infrastructure name from the extraction step.
2	`region` is the region to deploy the cluster into, for example `us-east1`.
3	`cluster_network` is the `selfLink` URL to the cluster network.
4	`network_cidr` is the CIDR of the VPC network, for example `10.0.0.0/16`.
5	`master_nat_ip` is the IP address of the master NAT, for example `34.94.100.1`.
6	`worker_nat_ip` is the IP address of the worker NAT, for example `34.94.200.1`.

Create the deployment by using the gcloud CLI:

$ gcloud deployment-manager deployments create ${INFRA_ID}-security --config 03_security.yaml

The templates do not create the policy bindings due to limitations of deployment Manager, so you must create them manually:

$ export MASTER_SA=${INFRA_ID}-m@${PROJECT_NAME}.iam.gserviceaccount.com
$ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${MASTER_SA}" --role "roles/compute.instanceAdmin"
$ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${MASTER_SA}" --role "roles/compute.networkAdmin"
$ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${MASTER_SA}" --role "roles/compute.securityAdmin"
$ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${MASTER_SA}" --role "roles/iam.serviceAccountUser"
$ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${MASTER_SA}" --role "roles/storage.admin"

$ export WORKER_SA=${INFRA_ID}-w@${PROJECT_NAME}.iam.gserviceaccount.com
$ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${WORKER_SA}" --role "roles/compute.viewer"
$ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${WORKER_SA}" --role "roles/storage.admin"

Create a service account key and store it locally for later use:

$ gcloud iam service-accounts keys create service-account-key.json --iam-account=${MASTER_SA}

deployment Manager template for firewall rules and IAM roles

You can use the following deployment Manager template to deploy the security objects that you need for your OpenShift Container Platform cluster:

03_security.py deployment Manager template

def GenerateConfig(context):

    resources = [{
        'name': context.properties['infra_id'] + '-api',
        'type': 'compute.v1.firewall',
        'properties': {
            'network': context.properties['cluster_network'],
            'allowed': [{
                'IPProtocol': 'tcp',
                'ports': ['6443']
            }],
            'sourceRanges':  ['0.0.0.0/0'],
            'targetTags': [context.properties['infra_id'] + '-master']
        }
    }, {
        'name': context.properties['infra_id'] + '-mcs',
        'type': 'compute.v1.firewall',
        'properties': {
            'network': context.properties['cluster_network'],
            'allowed': [{
                'IPProtocol': 'tcp',
                'ports': ['22623']
            }],
            'sourceRanges':  [
                context.properties['network_cidr'],
                context.properties['master_nat_ip'],
                context.properties['worker_nat_ip']
            ],
            'targetTags': [context.properties['infra_id'] + '-master']
        }
    }, {
        'name': context.properties['infra_id'] + '-health-checks',
        'type': 'compute.v1.firewall',
        'properties': {
            'network': context.properties['cluster_network'],
            'allowed': [{
                'IPProtocol': 'tcp',
                'ports': ['6080', '22624']
            }],
            'sourceRanges': ['35.191.0.0/16', '130.211.0.0/22', '209.85.152.0/22', '209.85.204.0/22'],
            'targetTags': [context.properties['infra_id'] + '-master']
        }
    }, {
        'name': context.properties['infra_id'] + '-etcd',
        'type': 'compute.v1.firewall',
        'properties': {
            'network': context.properties['cluster_network'],
            'allowed': [{
                'IPProtocol': 'tcp',
                'ports': ['2379-2380']
            }],
            'sourceTags': [context.properties['infra_id'] + '-master'],
            'targetTags': [context.properties['infra_id'] + '-master']
        }
    }, {
        'name': context.properties['infra_id'] + '-control-plane',
        'type': 'compute.v1.firewall',
        'properties': {
            'network': context.properties['cluster_network'],
            'allowed': [{
                'IPProtocol': 'tcp',
                'ports': ['10257']
            },{
                'IPProtocol': 'tcp',
                'ports': ['10259']
            }],
            'sourceTags': [
                context.properties['infra_id'] + '-master',
                context.properties['infra_id'] + '-worker'
            ],
            'targetTags': [context.properties['infra_id'] + '-master']
        }
    }, {
        'name': context.properties['infra_id'] + '-internal-network',
        'type': 'compute.v1.firewall',
        'properties': {
            'network': context.properties['cluster_network'],
            'allowed': [{
                'IPProtocol': 'icmp'
            },{
                'IPProtocol': 'tcp',
                'ports': ['22']
            }],
            'sourceRanges':  [context.properties['network_cidr']],
            'targetTags': [
                context.properties['infra_id'] + '-master',
                context.properties['infra_id'] + '-worker'
            ]
        }
    }, {
        'name': context.properties['infra_id'] + '-internal-cluster',
        'type': 'compute.v1.firewall',
        'properties': {
            'network': context.properties['cluster_network'],
            'allowed': [{
                'IPProtocol': 'udp',
                'ports': ['4789', '6081']
            },{
                'IPProtocol': 'tcp',
                'ports': ['9000-9999']
            },{
                'IPProtocol': 'udp',
                'ports': ['9000-9999']
            },{
                'IPProtocol': 'tcp',
                'ports': ['10250']
            },{
                'IPProtocol': 'tcp',
                'ports': ['30000-32767']
            },{
                'IPProtocol': 'udp',
                'ports': ['30000-32767']
            }],
            'sourceTags': [
                context.properties['infra_id'] + '-master',
                context.properties['infra_id'] + '-worker'
            ],
            'targetTags': [
                context.properties['infra_id'] + '-master',
                context.properties['infra_id'] + '-worker'
            ]
        }
    }, {
        'name': context.properties['infra_id'] + '-master-node-sa',
        'type': 'iam.v1.serviceAccount',
        'properties': {
            'accountId': context.properties['infra_id'] + '-m',
            'displayName': context.properties['infra_id'] + '-master-node'
        }
    }, {
        'name': context.properties['infra_id'] + '-worker-node-sa',
        'type': 'iam.v1.serviceAccount',
        'properties': {
            'accountId': context.properties['infra_id'] + '-w',
            'displayName': context.properties['infra_id'] + '-worker-node'
        }
    }]

    return {'resources': resources}

Creating the RHCOS cluster image for the GCP infrastructure

You must use a valid Red Hat Enterprise Linux CoreOS (RHCOS) image for Google Cloud Platform (GCP) for your OpenShift Container Platform nodes.

Procedure

Obtain the RHCOS image from the Product Downloads page on the Red Hat customer portal or the RHCOS image mirror page.

The RHCOS images might not change with every release of OpenShift Container Platform. You must download an image with the highest version that is less than or equal to the OpenShift Container Platform version that you install. Use the image version that matches your OpenShift Container Platform version if it is available.

The file name contains the OpenShift Container Platform version number in the format rhcos-<version>-gcp.tar.

Export the following variable:

$ export IMAGE_SOURCE=<downloaded_image_file_path>

Create the cluster image:

$ gcloud compute images create "${INFRA_ID}-rhcos-image" \
    --source-uri="${IMAGE_SOURCE}"

Creating the bootstrap machine in GCP

You must create the bootstrap machine in Google Cloud Platform (GCP) to use during OpenShift Container Platform cluster initialization. One way to create this machine is to modify the provided deployment Manager template.

If you do not use the provided deployment Manager template to create your bootstrap machine, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs.

Prerequisites

Configure a GCP account.
Generate the Ignition config files for your cluster.
Create and configure a VPC and associated subnets in GCP.
Create and configure networking and load balancers in GCP.
Create control plane and compute roles.

Procedure

Copy the template from the deployment Manager template for the bootstrap machine section of this topic and save it as 04_bootstrap.py on your computer. This template describes the bootstrap machine that your cluster requires.

Export the following variables required by the resource definition:

$ export CONTROL_SUBNET=`gcloud compute networks subnets describe ${INFRA_ID}-master-subnet --region=${REGION} --format json | jq -r .selfLink`
$ export CLUSTER_IMAGE=`gcloud compute images describe ${INFRA_ID}-rhcos-image --format json | jq -r .selfLink`
$ export ZONE_0=`gcloud compute regions describe ${REGION} --format=json | jq -r .zones[0] | cut -d "/" -f9`
$ export ZONE_1=`gcloud compute regions describe ${REGION} --format=json | jq -r .zones[1] | cut -d "/" -f9`
$ export ZONE_2=`gcloud compute regions describe ${REGION} --format=json | jq -r .zones[2] | cut -d "/" -f9`

Create a bucket and upload the bootstrap.ign file:

$ gsutil mb gs://${INFRA_ID}-bootstrap-ignition
$ gsutil cp bootstrap.ign gs://${INFRA_ID}-bootstrap-ignition/

Create a signed URL for the bootstrap instance to use to access the Ignition config. Export the URL from the output as a variable:

$ export BOOTSTRAP_IGN=`gsutil signurl -d 1h service-account-key.json \
    gs://${INFRA_ID}-bootstrap-ignition/bootstrap.ign | grep "^gs:" | awk '{print $5}'`

Create a 04_bootstrap.yaml resource definition file:

$ cat <<EOF >04_bootstrap.yaml
imports:
- path: 04_bootstrap.py

resources:
- name: cluster-bootstrap
  type: 04_bootstrap.py
  properties:
    infra_id: '${INFRA_ID}' (1)
    region: '${REGION}' (2)
    zone: '${ZONE_0}' (3)

    cluster_network: '${CLUSTER_NETWORK}' (4)
    control_subnet: '${CONTROL_SUBNET}' (5)
    image: '${CLUSTER_IMAGE}' (6)
    machine_type: 'n1-standard-4' (7)
    root_volume_size: '128' (8)

    bootstrap_ign: '${BOOTSTRAP_IGN}' (9)
EOF

1	`infra_id` is the `INFRA_ID` infrastructure name from the extraction step.
2	`region` is the region to deploy the cluster into, for example `us-east1`.
3	`zone` is the zone to deploy the bootstrap instance into, for example `us-east1-b`.
4	`cluster_network` is the `selfLink` URL to the cluster network.
5	`control_subnet` is the `selfLink` URL to the control subnet.
6	`image` is the `selfLink` URL to the RHCOS image.
7	`machine_type` is the machine type of the instance, for example `n1-standard-4`.
8	`bootstrap_ign` is the URL output when creating a signed URL above.

Create the deployment by using the gcloud CLI:

$ gcloud deployment-manager deployments create ${INFRA_ID}-bootstrap --config 04_bootstrap.yaml

The templates do not manage load balancer membership due to limitations of deployment Manager, so you must add the bootstrap machine manually:

$ gcloud compute target-pools add-instances \
    ${INFRA_ID}-api-target-pool --instances-zone="${ZONE_0}" --instances=${INFRA_ID}-bootstrap
$ gcloud compute target-pools add-instances \
    ${INFRA_ID}-ign-target-pool --instances-zone="${ZONE_0}" --instances=${INFRA_ID}-bootstrap

deployment Manager template for the bootstrap machine

You can use the following deployment Manager template to deploy the bootstrap machine that you need for your OpenShift Container Platform cluster:

04_bootstrap.py deployment Manager template

def GenerateConfig(context):

    resources = [{
        'name': context.properties['infra_id'] + '-bootstrap-public-ip',
        'type': 'compute.v1.address',
        'properties': {
            'region': context.properties['region']
        }
    }, {
        'name': context.properties['infra_id'] + '-bootstrap-in-ssh',
        'type': 'compute.v1.firewall',
        'properties': {
            'network': context.properties['cluster_network'],
            'allowed': [{
                'IPProtocol': 'tcp',
                'ports': ['22']
            }],
            'sourceRanges':  ['0.0.0.0/0'],
            'targetTags': [context.properties['infra_id'] + '-bootstrap']
        }
    }, {
        'name': context.properties['infra_id'] + '-bootstrap',
        'type': 'compute.v1.instance',
        'properties': {
            'disks': [{
                'autoDelete': True,
                'boot': True,
                'initializeParams': {
                    'diskSizeGb': context.properties['root_volume_size'],
                    'sourceImage': context.properties['image']
                }
            }],
            'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'],
            'metadata': {
                'items': [{
                    'key': 'user-data',
                    'value': '{"ignition":{"config":{"replace":{"source":"' + context.properties['bootstrap_ign'] + '","verification":{}}},"timeouts":{},"version":"2.1.0"},"networkd":{},"passwd":{},"storage":{},"systemd":{}}',
                }]
            },
            'networkInterfaces': [{
                'subnetwork': context.properties['control_subnet'],
                'accessConfigs': [{
                    'natIP': '$(ref.' + context.properties['infra_id'] + '-bootstrap-public-ip.address)'
                }]
            }],
            'tags': {
                'items': [
                    context.properties['infra_id'] + '-master',
                    context.properties['infra_id'] + '-bootstrap'
                ]
            },
            'zone': context.properties['zone']
        }
    }]

    return {'resources': resources}

Creating the control plane machines in GCP

You must create the control plane machines in Google Cloud Platform (GCP) for your cluster to use. One way to create these machines is to modify the provided deployment Manager template.

If you do not use the provided deployment Manager template to create your control plane machines, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs.

Prerequisites

Configure a GCP account.
Generate the Ignition config files for your cluster.
Create and configure a VPC and associated subnets in GCP.
Create and configure networking and load balancers in GCP.
Create control plane and compute roles.
Create the bootstrap machine.

Procedure

Copy the template from the deployment Manager template for control plane machines section of this topic and save it as 05_control_plane.py on your computer. This template describes the control plane machines that your cluster requires.

Export the following variables needed by the resource definition:

$ export MASTER_SERVICE_ACCOUNT_EMAIL=`gcloud iam service-accounts list | grep "^${INFRA_ID}-master-node " | awk '{print $2}'`
$ export MASTER_IGNITION=`cat master.ign`

Create a 05_control_plane.yaml resource definition file:

$ cat <<EOF >05_control_plane.yaml
imports:
- path: 05_control_plane.py

resources:
- name: cluster-control-plane
  type: 05_control_plane.py
  properties:
    infra_id: '${INFRA_ID}' (1)
    zones: (2)
    - '${ZONE_0}'
    - '${ZONE_1}'
    - '${ZONE_2}'

    control_subnet: '${CONTROL_SUBNET}' (3)
    image: '${CLUSTER_IMAGE}' (4)
    machine_type: 'n1-standard-4' (5)
    root_volume_size: '128'
    service_account_email: '${MASTER_SERVICE_ACCOUNT_EMAIL}' (6)

    ignition: '${MASTER_IGNITION}' (7)
EOF

1	`infra_id` is the `INFRA_ID` infrastructure name from the extraction step.
2	`zones` are the zones to deploy the control plane instances into, for example `us-east1-b`, `us-east1-c`, and `us-east1-d`.
3	`control_subnet` is the `selfLink` URL to the control subnet.
4	`image` is the `selfLink` URL to the RHCOS image.
5	`machine_type` is the machine type of the instance, for example `n1-standard-4`.
6	`service_account_email` is the email address for the master service account that you created.
7	`ignition` is the contents of the `master.ign` file.

Create the deployment by using the gcloud CLI:

$ gcloud deployment-manager deployments create ${INFRA_ID}-control-plane --config 05_control_plane.yaml

The templates do not manage DNS entries due to limitations of deployment Manager, so you must add the etcd entries manually:

$ export MASTER0_IP=`gcloud compute instances describe ${INFRA_ID}-m-0 --zone ${ZONE_0} --format json | jq -r .networkInterfaces[0].networkIP`
$ export MASTER1_IP=`gcloud compute instances describe ${INFRA_ID}-m-1 --zone ${ZONE_1} --format json | jq -r .networkInterfaces[0].networkIP`
$ export MASTER2_IP=`gcloud compute instances describe ${INFRA_ID}-m-2 --zone ${ZONE_2} --format json | jq -r .networkInterfaces[0].networkIP`
$ if [ -f transaction.yaml ]; then rm transaction.yaml; fi
$ gcloud dns record-sets transaction start --zone ${INFRA_ID}-private-zone
$ gcloud dns record-sets transaction add ${MASTER0_IP} --name etcd-0.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 60 --type A --zone ${INFRA_ID}-private-zone
$ gcloud dns record-sets transaction add ${MASTER1_IP} --name etcd-1.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 60 --type A --zone ${INFRA_ID}-private-zone
$ gcloud dns record-sets transaction add ${MASTER2_IP} --name etcd-2.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 60 --type A --zone ${INFRA_ID}-private-zone
$ gcloud dns record-sets transaction add \
  "0 10 2380 etcd-0.${CLUSTER_NAME}.${BASE_DOMAIN}." \
  "0 10 2380 etcd-1.${CLUSTER_NAME}.${BASE_DOMAIN}." \
  "0 10 2380 etcd-2.${CLUSTER_NAME}.${BASE_DOMAIN}." \
  --name _etcd-server-ssl._tcp.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 60 --type SRV --zone ${INFRA_ID}-private-zone
$ gcloud dns record-sets transaction execute --zone ${INFRA_ID}-private-zone

The templates do not manage load balancer membership due to limitations of deployment Manager, so you must add the control plane machines manually:

$ gcloud compute target-pools add-instances ${INFRA_ID}-api-target-pool --instances-zone="${ZONE_0}" --instances=${INFRA_ID}-m-0
$ gcloud compute target-pools add-instances ${INFRA_ID}-api-target-pool --instances-zone="${ZONE_1}" --instances=${INFRA_ID}-m-1
$ gcloud compute target-pools add-instances ${INFRA_ID}-api-target-pool --instances-zone="${ZONE_2}" --instances=${INFRA_ID}-m-2
$ gcloud compute target-pools add-instances ${INFRA_ID}-ign-target-pool --instances-zone="${ZONE_0}" --instances=${INFRA_ID}-m-0
$ gcloud compute target-pools add-instances ${INFRA_ID}-ign-target-pool --instances-zone="${ZONE_1}" --instances=${INFRA_ID}-m-1
$ gcloud compute target-pools add-instances ${INFRA_ID}-ign-target-pool --instances-zone="${ZONE_2}" --instances=${INFRA_ID}-m-2

deployment Manager template for control plane machines

You can use the following deployment Manager template to deploy the control plane machines that you need for your OpenShift Container Platform cluster:

05_control_plane.py deployment Manager template

def GenerateConfig(context):

    resources = [{
        'name': context.properties['infra_id'] + '-m-0',
        'type': 'compute.v1.instance',
        'properties': {
            'disks': [{
                'autoDelete': True,
                'boot': True,
                'initializeParams': {
                    'diskSizeGb': context.properties['root_volume_size'],
                    'diskType': 'zones/' + context.properties['zones'][0] + '/diskTypes/pd-ssd',
                    'sourceImage': context.properties['image']
                }
            }],
            'machineType': 'zones/' + context.properties['zones'][0] + '/machineTypes/' + context.properties['machine_type'],
            'metadata': {
                'items': [{
                    'key': 'user-data',
                    'value': context.properties['ignition']
                }]
            },
            'networkInterfaces': [{
                'subnetwork': context.properties['control_subnet']
            }],
            'serviceAccounts': [{
                'email': context.properties['service_account_email'],
                'scopes': ['https://www.googleapis.com/auth/cloud-platform']
            }],
            'tags': {
                'items': [
                    context.properties['infra_id'] + '-master',
                ]
            },
            'zone': context.properties['zones'][0]
        }
    }, {
        'name': context.properties['infra_id'] + '-m-1',
        'type': 'compute.v1.instance',
        'properties': {
            'disks': [{
                'autoDelete': True,
                'boot': True,
                'initializeParams': {
                    'diskSizeGb': context.properties['root_volume_size'],
                    'diskType': 'zones/' + context.properties['zones'][1] + '/diskTypes/pd-ssd',
                    'sourceImage': context.properties['image']
                }
            }],
            'machineType': 'zones/' + context.properties['zones'][1] + '/machineTypes/' + context.properties['machine_type'],
            'metadata': {
                'items': [{
                    'key': 'user-data',
                    'value': context.properties['ignition']
                }]
            },
            'networkInterfaces': [{
                'subnetwork': context.properties['control_subnet']
            }],
            'serviceAccounts': [{
                'email': context.properties['service_account_email'],
                'scopes': ['https://www.googleapis.com/auth/cloud-platform']
            }],
            'tags': {
                'items': [
                    context.properties['infra_id'] + '-master',
                ]
            },
            'zone': context.properties['zones'][1]
        }
    }, {
        'name': context.properties['infra_id'] + '-m-2',
        'type': 'compute.v1.instance',
        'properties': {
            'disks': [{
                'autoDelete': True,
                'boot': True,
                'initializeParams': {
                    'diskSizeGb': context.properties['root_volume_size'],
                    'diskType': 'zones/' + context.properties['zones'][2] + '/diskTypes/pd-ssd',
                    'sourceImage': context.properties['image']
                }
            }],
            'machineType': 'zones/' + context.properties['zones'][2] + '/machineTypes/' + context.properties['machine_type'],
            'metadata': {
                'items': [{
                    'key': 'user-data',
                    'value': context.properties['ignition']
                }]
            },
            'networkInterfaces': [{
                'subnetwork': context.properties['control_subnet']
            }],
            'serviceAccounts': [{
                'email': context.properties['service_account_email'],
                'scopes': ['https://www.googleapis.com/auth/cloud-platform']
            }],
            'tags': {
                'items': [
                    context.properties['infra_id'] + '-master',
                ]
            },
            'zone': context.properties['zones'][2]
        }
    }]

    return {'resources': resources}

Wait for bootstrap completion and remove bootstrap resources in GCP

After you create all of the required infrastructure in Google Cloud Platform (GCP), wait for the bootstrap process to complete on the machines that you provisioned by using the Ignition config files that you generated with the installation program.

Prerequisites

Configure a GCP account.
Generate the Ignition config files for your cluster.
Create and configure a VPC and associated subnets in GCP.
Create and configure networking and load balancers in GCP.
Create control plane and compute roles.
Create the bootstrap machine.
Create the control plane machines.

Procedure

Change to the directory that contains the installation program and run the following command:

$ ./openshift-install wait-for bootstrap-complete --dir=<installation_directory> \ (1)
    --log-level info (2)

1	For `<installation_directory>`, specify the path to the directory that you stored the installation files in.
2	To view different installation details, specify `warn`, `debug`, or `error` instead of `info`.

If the command exits without a FATAL warning, your production control plane has initialized.

Delete the bootstrap resources:

$ gcloud compute target-pools remove-instances ${INFRA_ID}-api-target-pool --instances-zone="${ZONE_0}" --instances=${INFRA_ID}-bootstrap
$ gcloud compute target-pools remove-instances ${INFRA_ID}-ign-target-pool --instances-zone="${ZONE_0}" --instances=${INFRA_ID}-bootstrap
$ gsutil rm gs://${INFRA_ID}-bootstrap-ignition/bootstrap.ign
$ gsutil rb gs://${INFRA_ID}-bootstrap-ignition
$ gcloud deployment-manager deployments delete ${INFRA_ID}-bootstrap

Creating additional worker machines in GCP

You can create worker machines in Google Cloud Platform (GCP) for your cluster to use by launching individual instances discretely or by automated processes outside the cluster, such as auto scaling groups. You can also take advantage of the built-in cluster scaling mechanisms and the machine API in OpenShift Container Platform.

In this example, you manually launch one instance by using the deployment Manager template. Additional instances can be launched by including additional resources of type 06_worker.py in the file.

If you do not use the provided deployment Manager template to create your worker machines, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs.

Prerequisites

Configure a GCP account.
Generate the Ignition config files for your cluster.
Create and configure a VPC and associated subnets in GCP.
Create and configure networking and load balancers in GCP.
Create control plane and compute roles.
Create the bootstrap machine.
Create the control plane machines.

Procedure

Copy the template from the deployment Manager template for worker machines section of this topic and save it as 06_worker.py on your computer. This template describes the worker machines that your cluster requires.

Export the following variables needed by the resource definition:

$ export COMPUTE_SUBNET=`gcloud compute networks subnets describe ${INFRA_ID}-worker-subnet --region=${REGION} --format json | jq -r .selfLink`
$ export WORKER_SERVICE_ACCOUNT_EMAIL=`gcloud iam service-accounts list | grep "^${INFRA_ID}-worker-node " | awk '{print $2}'`
$ export WORKER_IGNITION=`cat worker.ign`

Create a 06_worker.yaml resource definition file:

$ cat <<EOF >06_worker.yaml
imports:
- path: 06_worker.py

resources:
- name: 'w-a-0' (1)
  type: 06_worker.py
  properties:
    infra_id: '${INFRA_ID}' (2)
    zone: '${ZONE_0}' (3)

    compute_subnet: '${COMPUTE_SUBNET}' (4)
    image: '${CLUSTER_IMAGE}' (5)
    machine_type: 'n1-standard-4' (6)
    root_volume_size: '128'
    service_account_email: '${WORKER_SERVICE_ACCOUNT_EMAIL}' (7)

    ignition: '${WORKER_IGNITION}' (8)
EOF

1	`name` is the name of the worker machine, for example `w-a-0`.
2	`infra_id` is the `INFRA_ID` infrastructure name from the extraction step.
3	`zone` is the zone to deploy the worker machine into, for example `us-east1-b`.
4	`compute_subnet` is the `selfLink` URL to the compute subnet.
5	`image` is the `selfLink` URL to the RHCOS image.
6	`machine_type` is the machine type of the instance, for example `n1-standard-4`.
7	`service_account_email` is the email address for the worker service account that you created.
8	`ignition` is the contents of the `worker.ign` file.

Optional: If you want to launch additional instances, include additional resources of type 06_worker.py in your 06_worker.yaml resource definition file.

Create the deployment by using the gcloud CLI:

$ gcloud deployment-manager deployments create ${INFRA_ID}-worker --config 06_worker.yaml

deployment Manager template for worker machines

You can use the following deployment Manager template to deploy the worker machines that you need for your OpenShift Container Platform cluster:

06_worker.py deployment Manager template

def GenerateConfig(context):

    resources = [{
        'name': context.properties['infra_id'] + '-' + context.env['name'],
        'type': 'compute.v1.instance',
        'properties': {
            'disks': [{
                'autoDelete': True,
                'boot': True,
                'initializeParams': {
                    'diskSizeGb': context.properties['root_volume_size'],
                    'sourceImage': context.properties['image']
                }
            }],
            'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'],
            'metadata': {
                'items': [{
                    'key': 'user-data',
                    'value': context.properties['ignition']
                }]
            },
            'networkInterfaces': [{
                'subnetwork': context.properties['compute_subnet']
            }],
            'serviceAccounts': [{
                'email': context.properties['service_account_email'],
                'scopes': ['https://www.googleapis.com/auth/cloud-platform']
            }],
            'tags': {
                'items': [
                    context.properties['infra_id'] + '-worker',
                ]
            },
            'zone': context.properties['zone']
        }
    }]

    return {'resources': resources}

Logging in to the cluster

You can log in to your cluster as a default system user by exporting the cluster kubeconfig file. The kubeconfig file contains information about the cluster that is used by the CLI to connect a client to the correct cluster and API server. The file is specific to a cluster and is created during OpenShift Container Platform installation.

Prerequisites

Deploy an OpenShift Container Platform cluster.
Install the oc CLI.

Procedure

Export the kubeadmin credentials:
```
$ export KUBECONFIG=<installation_directory>/auth/kubeconfig (1)
```
1 For <installation_directory>, specify the path to the directory that you stored the installation files in.
Verify you can run oc commands successfully using the exported configuration:
```
$ oc whoami
system:admin
```

Approving the certificate signing requests for your machines

When you add machines to a cluster, two pending certificate signing requests (CSRs) are generated for each machine that you added. You must confirm that these CSRs are approved or, if necessary, approve them yourself. The client requests must be approved first, followed by the server requests.

Prerequisites

You added machines to your cluster.

Procedure

Confirm that the cluster recognizes the machines:

# oc get nodes

NAME                    STATUS   ROLES    AGE   VERSION
master-01.example.com   Ready    master   40d   v1.17.1
master-02.example.com   Ready    master   40d   v1.17.1
master-03.example.com   Ready    master   40d   v1.17.1
worker-01.example.com   Ready    worker   40d   v1.17.1
worker-02.example.com   Ready    worker   40d   v1.17.1

The output lists all of the machines that you created.

Review the pending CSRs and ensure that you see the client requests with the Pending or Approved status for each machine that you added to the cluster:

$ oc get csr

NAME        AGE     REQUESTOR                                                                   CONDITION
csr-8b2br   15m     system:serviceaccount:openshift-machine-config-operator:node-bootstrapper   Pending
csr-8vnps   15m     system:serviceaccount:openshift-machine-config-operator:node-bootstrapper   Pending
...

In this example, two machines are joining the cluster. You might see more approved CSRs in the list.

If the CSRs were not approved, after all of the pending CSRs for the machines you added are in Pending status, approve the CSRs for your cluster machines:

Because the CSRs rotate automatically, approve your CSRs within an hour of adding the machines to the cluster. If you do not approve them within an hour, the certificates will rotate, and more than two certificates will be present for each node. You must approve all of these certificates. After you approve the initial CSRs, the subsequent node client CSRs are automatically approved by the cluster kube-controller-manager. You must implement a method of automatically approving the kubelet serving certificate requests.

To approve them individually, run the following command for each valid CSR:
```
$ oc adm certificate approve <csr_name> (1)
```
1 <csr_name> is the name of a CSR from the list of current CSRs.

To approve all pending CSRs, run the following command:

$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve

Now that your client requests are approved, you must review the server requests for each machine that you added to the cluster:

$ oc get csr

Example output

NAME        AGE     REQUESTOR                                                                   CONDITION
csr-bfd72   5m26s   system:node:ip-10-0-50-126.us-east-2.compute.internal                       Pending
csr-c57lv   5m26s   system:node:ip-10-0-95-157.us-east-2.compute.internal                       Pending
...

If the remaining CSRs are not approved, and are in the Pending status, approve the CSRs for your cluster machines:
- To approve them individually, run the following command for each valid CSR:
  $ oc adm certificate approve <csr_name> (1)
  1 <csr_name> is the name of a CSR from the list of current CSRs.
- To approve all pending CSRs, run the following command:
  $ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve

After all client and server CSRs have been approved, the machines have the Ready status. Verify this by running the following command:

$ oc get nodes

Example output

NAME      STATUS    ROLES   AGE  VERSION
master-0  Ready     master  73m  v1.20.0
master-1  Ready     master  73m  v1.20.0
master-2  Ready     master  74m  v1.20.0
worker-0  Ready     worker  11m  v1.20.0
worker-1  Ready     worker  11m  v1.20.0

It can take a few minutes after approval of the server CSRs for the machines to transition to the Ready status.

Additional information

For more information on CSRs, see Certificate Signing Requests.

Optional: Adding the ingress DNS records

If you removed the DNS Zone configuration when creating Kubernetes manifests and generating Ignition configs, you must manually create DNS records that point at the ingress load balancer. You can create either a wildcard *.apps.{baseDomain}. or specific records. You can use A, CNAME, and other records per your requirements.

Prerequisites

Configure a GCP account.
Remove the DNS Zone configuration when creating Kubernetes manifests and generating Ignition configs.
Create and configure a VPC and associated subnets in GCP.
Create and configure networking and load balancers in GCP.
Create control plane and compute roles.
Create the bootstrap machine.
Create the control plane machines.
Create the worker machines.

Procedure

Wait for the Ingress router to create a load balancer and populate the EXTERNAL-IP field:

$ oc -n openshift-ingress get service router-default
NAME             TYPE           CLUSTER-IP      EXTERNAL-IP      PORT(S)                      AGE
router-default   LoadBalancer   172.30.18.154   35.233.157.184   80:32288/TCP,443:31215/TCP   98

Add the A record to your public and private zones:

$ export ROUTER_IP=`oc -n openshift-ingress get service router-default --no-headers | awk '{print $4}'`

$ if [ -f transaction.yaml ]; then rm transaction.yaml; fi
$ gcloud dns record-sets transaction start --zone ${BASE_DOMAIN_ZONE_NAME}
$ gcloud dns record-sets transaction add ${ROUTER_IP} --name \*.apps.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 300 --type A --zone ${BASE_DOMAIN_ZONE_NAME}
$ gcloud dns record-sets transaction execute --zone ${BASE_DOMAIN_ZONE_NAME}

$ if [ -f transaction.yaml ]; then rm transaction.yaml; fi
$ gcloud dns record-sets transaction start --zone ${INFRA_ID}-private-zone
$ gcloud dns record-sets transaction add ${ROUTER_IP} --name \*.apps.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 300 --type A --zone ${INFRA_ID}-private-zone
$ gcloud dns record-sets transaction execute --zone ${INFRA_ID}-private-zone

If you prefer to add explicit domains instead of using a wildcard, you can create entries for each of the cluster’s current routes:

$ oc get --all-namespaces -o jsonpath='{range .items[*]}{range .status.ingress[*]}{.host}{"\n"}{end}{end}' routes
oauth-openshift.apps.your.cluster.domain.example.com
console-openshift-console.apps.your.cluster.domain.example.com
downloads-openshift-console.apps.your.cluster.domain.example.com
alertmanager-main-openshift-monitoring.apps.your.cluster.domain.example.com
grafana-openshift-monitoring.apps.your.cluster.domain.example.com
prometheus-k8s-openshift-monitoring.apps.your.cluster.domain.example.com

Completing a GCP installation on user-provisioned infrastructure

After you start the OpenShift Container Platform installation on Google Cloud Platform (GCP) user-provisioned infrastructure, you can monitor the cluster events until the cluster is ready.

Prerequisites

Deploy the bootstrap machine for an OpenShift Container Platform cluster on user-provisioned GCP infrastructure.
Install the oc CLI and log in.

Procedure

Complete the cluster installation:

$ ./openshift-install --dir=<installation_directory> wait-for install-complete (1)

INFO Waiting up to 30m0s for the cluster to initialize...

1	For `<installation_directory>`, specify the path to the directory that you stored the installation files in.

Observe the running state of your cluster.

Run the following command to view the current cluster version and status:

$ oc get clusterversion
NAME      VERSION   AVAILABLE   PROGRESSING   SINCE   STATUS
version             False       True          24m     Working towards 4.4.3-0: 99% complete

Run the following command to view the Operators managed on the control plane by the Cluster Version Operator (CVO):

$ oc get clusteroperators
NAME                                       VERSION   AVAILABLE   PROGRESSING   DEGRADED   SINCE
authentication                             4.4.3     True        False         False      7m56s
cloud-credential                           4.4.3     True        False         False      31m
cluster-autoscaler                         4.4.3     True        False         False      16m
console                                    4.4.3     True        False         False      10m
csi-snapshot-controller                    4.4.3     True        False         False      16m
dns                                        4.4.3     True        False         False      22m
etcd                                       4.4.3     False       False         False      25s
image-registry                             4.4.3     True        False         False      16m
ingress                                    4.4.3     True        False         False      16m
insights                                   4.4.3     True        False         False      17m
kube-apiserver                             4.4.3     True        False         False      19m
kube-controller-manager                    4.4.3     True        False         False      20m
kube-scheduler                             4.4.3     True        False         False      20m
kube-storage-version-migrator              4.4.3     True        False         False      16m
machine-api                                4.4.3     True        False         False      22m
machine-config                             4.4.3     True        False         False      22m
marketplace                                4.4.3     True        False         False      16m
monitoring                                 4.4.3     True        False         False      10m
network                                    4.4.3     True        False         False      23m
node-tuning                                4.4.3     True        False         False      23m
openshift-apiserver                        4.4.3     True        False         False      17m
openshift-controller-manager               4.4.3     True        False         False      15m
openshift-samples                          4.4.3     True        False         False      16m
operator-lifecycle-manager                 4.4.3     True        False         False      22m
operator-lifecycle-manager-catalog         4.4.3     True        False         False      22m
operator-lifecycle-manager-packageserver   4.4.3     True        False         False      18m
service-ca                                 4.4.3     True        False         False      23m
service-catalog-apiserver                  4.4.3     True        False         False      23m
service-catalog-controller-manager         4.4.3     True        False         False      23m
storage                                    4.4.3     True        False         False      17m

Run the following command to view your cluster pods:

$ oc get pods --all-namespaces
NAMESPACE                                               NAME                                                                READY     STATUS      RESTARTS   AGE
kube-system                                             etcd-member-ip-10-0-3-111.us-east-2.compute.internal                1/1       Running     0          35m
kube-system                                             etcd-member-ip-10-0-3-239.us-east-2.compute.internal                1/1       Running     0          37m
kube-system                                             etcd-member-ip-10-0-3-24.us-east-2.compute.internal                 1/1       Running     0          35m
openshift-apiserver-operator                            openshift-apiserver-operator-6d6674f4f4-h7t2t                       1/1       Running     1          37m
openshift-apiserver                                     apiserver-fm48r                                                     1/1       Running     0          30m
openshift-apiserver                                     apiserver-fxkvv                                                     1/1       Running     0          29m
openshift-apiserver                                     apiserver-q85nm                                                     1/1       Running     0          29m
...
openshift-service-ca-operator                           openshift-service-ca-operator-66ff6dc6cd-9r257                      1/1       Running     0          37m
openshift-service-ca                                    apiservice-cabundle-injector-695b6bcbc-cl5hm                        1/1       Running     0          35m
openshift-service-ca                                    configmap-cabundle-injector-8498544d7-25qn6                         1/1       Running     0          35m
openshift-service-ca                                    service-serving-cert-signer-6445fc9c6-wqdqn                         1/1       Running     0          35m
openshift-service-catalog-apiserver-operator            openshift-service-catalog-apiserver-operator-549f44668b-b5q2w       1/1       Running     0          32m
openshift-service-catalog-controller-manager-operator   openshift-service-catalog-controller-manager-operator-b78cr2lnm     1/1       Running     0          31m

When the current cluster version is AVAILABLE, the installation is complete.

Next steps

Customize your cluster.
If necessary, you can opt out of remote health reporting.

1	For `<installation_directory>`, specify the path to the directory that you stored the installation files in.
2	The output of this command is your cluster name and a random string.

Installing a cluster on GCP in a restricted network

Prerequisites

Configuring your GCP project

Creating a GCP project

Enabling API services in GCP

Configuring DNS for GCP

GCP account limits

Creating a service account in GCP

Required GCP permissions

Supported GCP regions

Installing and configuring CLI tools for GCP

Creating the installation files for GCP

Creating the installation configuration file

Creating the Kubernetes manifest and Ignition config files

Exporting common variables

Extracting the infrastructure name

Exporting common variables for deployment Manager templates

Creating a VPC in GCP

deployment Manager template for the VPC

Creating networking and load balancing components in GCP

deployment Manager template for the network and load balancers

Creating firewall rules and IAM roles in GCP

deployment Manager template for firewall rules and IAM roles

Creating the RHCOS cluster image for the GCP infrastructure

Creating the bootstrap machine in GCP

deployment Manager template for the bootstrap machine

Creating the control plane machines in GCP

deployment Manager template for control plane machines

Wait for bootstrap completion and remove bootstrap resources in GCP

Creating additional worker machines in GCP

deployment Manager template for worker machines

Logging in to the cluster

Approving the certificate signing requests for your machines

Optional: Adding the ingress DNS records

Completing a GCP installation on user-provisioned infrastructure

Next steps