Chapter 10. Installing a cluster on user-provisioned infrastructure in GCP by using Deployment Manager templates In OpenShift Container Platform version 4.15, you can install a cluster on Google Cloud Platform (GCP) that uses infrastructure that you provide. 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. Important The steps for performing a user-provisioned infrastructure installation are provided as an example only. Installing a cluster with infrastructure you provide requires knowledge of the cloud provider and the installation process of OpenShift Container Platform. 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. 10.1. Prerequisites You reviewed details about the OpenShift Container Platform installation and update processes. You read the documentation on selecting a cluster installation method and preparing it for users . If you use a firewall and plan to use the Telemetry service, you configured the firewall to allow the sites that your cluster requires access to. If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the kube-system namespace, you can manually create and maintain long-term credentials . Note Be sure to also review this site list if you are configuring a proxy. 10.2. Certificate signing requests management Because your cluster has limited access to automatic machine management when you use infrastructure that you provision, you must provide a mechanism for approving cluster certificate signing requests (CSRs) after installation. The kube-controller-manager only approves the kubelet client CSRs. The machine-approver cannot guarantee the validity of a serving certificate that is requested by using kubelet credentials because it cannot confirm that the correct machine issued the request. You must determine and implement a method of verifying the validity of the kubelet serving certificate requests and approving them. 10.3. Internet access for OpenShift Container Platform In OpenShift Container Platform 4.15, you require access to the internet to install your cluster. You must have internet access to: Access OpenShift Cluster Manager to download the installation program and perform subscription management. If the cluster has internet access and you do not disable Telemetry, that service automatically entitles your cluster. Access Quay.io to obtain the packages that are required to install your cluster. Obtain the packages that are required to perform cluster updates. Important If your cluster cannot have direct internet access, you can perform a restricted network installation on some types of infrastructure that you provision. During that process, you download the required content and use it to populate a mirror registry with the installation packages. With some installation types, the environment that you install your cluster in will not require internet access. Before you update the cluster, you update the content of the mirror registry. 10.4. Configuring your GCP project Before you can install OpenShift Container Platform, you must configure a Google Cloud Platform (GCP) project to host it. 10.4.1. 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. Important Your GCP project must use the Premium Network Service Tier if you are using installer-provisioned infrastructure. The Standard Network Service Tier is not supported for clusters installed using the installation program. The installation program configures internal load balancing for the api-int.<cluster_name>.<base_domain> URL; the Premium Tier is required for internal load balancing. 10.4.2. 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. You may also enable optional API services which are not required for installation. See Enabling services in the GCP documentation. Table 10.1. Required API services API service Console service name Compute Engine API compute.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 Usage API serviceusage.googleapis.com Table 10.2. Optional API services API service Console service name Cloud Deployment Manager V2 API deploymentmanager.googleapis.com Google Cloud APIs cloudapis.googleapis.com Service Management API servicemanagement.googleapis.com Google Cloud Storage JSON API storage-api.googleapis.com Cloud Storage storage-component.googleapis.com 10.4.3. 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. Note 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. 10.4.4. 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 10.3. GCP resources used in a default cluster Service Component Location Total resources required Resources removed after bootstrap Service account IAM Global 6 1 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 Note 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. 10.4.5. 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 . Note 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. You can create the service account key in JSON format, or attach the service account to a GCP virtual machine. See Creating service account keys and Creating and enabling service accounts for instances in the GCP documentation. Note If you use a virtual machine with an attached service account to create your cluster, you must set credentialsMode: Manual in the install-config.yaml file before installation. 10.4.6. Required GCP roles 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. If your organization's security policies require a more restrictive set of permissions, you can create a service account with the following permissions. If you deploy your cluster into an existing virtual private cloud (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 Role Administrator Security Admin Service Account Admin Service Account Key Admin Service Account User Storage Admin Required roles for creating network resources during installation DNS Administrator Required roles for using the Cloud Credential Operator in passthrough mode Compute Load Balancer Admin Required roles for user-provisioned GCP infrastructure Deployment Manager Editor The following roles are applied to the service accounts that the control plane and compute machines use: Table 10.4. GCP service account roles Account Roles Control Plane roles/compute.instanceAdmin roles/compute.networkAdmin roles/compute.securityAdmin roles/storage.admin roles/iam.serviceAccountUser Compute roles/compute.viewer roles/storage.admin 10.4.7. Required GCP permissions for user-provisioned infrastructure 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. If your organization's security policies require a more restrictive set of permissions, you can create custom roles with the necessary permissions. The following permissions are required for the user-provisioned infrastructure for creating and deleting the OpenShift Container Platform cluster. Example 10.1. Required permissions for creating network resources compute.addresses.create compute.addresses.createInternal compute.addresses.delete compute.addresses.get compute.addresses.list compute.addresses.use compute.addresses.useInternal compute.firewalls.create compute.firewalls.delete compute.firewalls.get compute.firewalls.list compute.forwardingRules.create compute.forwardingRules.get compute.forwardingRules.list compute.forwardingRules.setLabels compute.networks.create compute.networks.get compute.networks.list compute.networks.updatePolicy compute.routers.create compute.routers.get compute.routers.list compute.routers.update compute.routes.list compute.subnetworks.create compute.subnetworks.get compute.subnetworks.list compute.subnetworks.use compute.subnetworks.useExternalIp Example 10.2. Required permissions for creating load balancer resources compute.regionBackendServices.create compute.regionBackendServices.get compute.regionBackendServices.list compute.regionBackendServices.update compute.regionBackendServices.use compute.targetPools.addInstance compute.targetPools.create compute.targetPools.get compute.targetPools.list compute.targetPools.removeInstance compute.targetPools.use Example 10.3. Required permissions for creating DNS resources dns.changes.create dns.changes.get dns.managedZones.create dns.managedZones.get dns.managedZones.list dns.networks.bindPrivateDNSZone dns.resourceRecordSets.create dns.resourceRecordSets.list dns.resourceRecordSets.update Example 10.4. Required permissions for creating Service Account resources iam.serviceAccountKeys.create iam.serviceAccountKeys.delete iam.serviceAccountKeys.get iam.serviceAccountKeys.list iam.serviceAccounts.actAs iam.serviceAccounts.create iam.serviceAccounts.delete iam.serviceAccounts.get iam.serviceAccounts.list resourcemanager.projects.get resourcemanager.projects.getIamPolicy resourcemanager.projects.setIamPolicy Example 10.5. Required permissions for creating compute resources compute.disks.create compute.disks.get compute.disks.list compute.instanceGroups.create compute.instanceGroups.delete compute.instanceGroups.get compute.instanceGroups.list compute.instanceGroups.update compute.instanceGroups.use compute.instances.create compute.instances.delete compute.instances.get compute.instances.list compute.instances.setLabels compute.instances.setMetadata compute.instances.setServiceAccount compute.instances.setTags compute.instances.use compute.machineTypes.get compute.machineTypes.list Example 10.6. Required for creating storage resources storage.buckets.create storage.buckets.delete storage.buckets.get storage.buckets.list storage.objects.create storage.objects.delete storage.objects.get storage.objects.list Example 10.7. Required permissions for creating health check resources compute.healthChecks.create compute.healthChecks.get compute.healthChecks.list compute.healthChecks.useReadOnly compute.httpHealthChecks.create compute.httpHealthChecks.get compute.httpHealthChecks.list compute.httpHealthChecks.useReadOnly Example 10.8. Required permissions to get GCP zone and region related information compute.globalOperations.get compute.regionOperations.get compute.regions.list compute.zoneOperations.get compute.zones.get compute.zones.list Example 10.9. Required permissions for checking services and quotas monitoring.timeSeries.list serviceusage.quotas.get serviceusage.services.list Example 10.10. Required IAM permissions for installation iam.roles.get Example 10.11. Required permissions when authenticating without a service account key iam.serviceAccounts.signBlob Example 10.12. Required Images permissions for installation compute.images.create compute.images.delete compute.images.get compute.images.list Example 10.13. Optional permission for running gather bootstrap compute.instances.getSerialPortOutput Example 10.14. Required permissions for deleting network resources compute.addresses.delete compute.addresses.deleteInternal compute.addresses.list compute.firewalls.delete compute.firewalls.list compute.forwardingRules.delete compute.forwardingRules.list compute.networks.delete compute.networks.list compute.networks.updatePolicy compute.routers.delete compute.routers.list compute.routes.list compute.subnetworks.delete compute.subnetworks.list Example 10.15. Required permissions for deleting load balancer resources compute.regionBackendServices.delete compute.regionBackendServices.list compute.targetPools.delete compute.targetPools.list Example 10.16. Required permissions for deleting DNS resources dns.changes.create dns.managedZones.delete dns.managedZones.get dns.managedZones.list dns.resourceRecordSets.delete dns.resourceRecordSets.list Example 10.17. Required permissions for deleting Service Account resources iam.serviceAccounts.delete iam.serviceAccounts.get iam.serviceAccounts.list resourcemanager.projects.getIamPolicy resourcemanager.projects.setIamPolicy Example 10.18. Required permissions for deleting compute resources compute.disks.delete compute.disks.list compute.instanceGroups.delete compute.instanceGroups.list compute.instances.delete compute.instances.list compute.instances.stop compute.machineTypes.list Example 10.19. Required for deleting storage resources storage.buckets.delete storage.buckets.getIamPolicy storage.buckets.list storage.objects.delete storage.objects.list Example 10.20. Required permissions for deleting health check resources compute.healthChecks.delete compute.healthChecks.list compute.httpHealthChecks.delete compute.httpHealthChecks.list Example 10.21. Required Images permissions for deletion compute.images.delete compute.images.list Example 10.22. Required permissions to get Region related information compute.regions.get Example 10.23. Required Deployment Manager permissions deploymentmanager.deployments.create deploymentmanager.deployments.delete deploymentmanager.deployments.get deploymentmanager.deployments.list deploymentmanager.manifests.get deploymentmanager.operations.get deploymentmanager.resources.list Additional resources Optimizing storage 10.4.8. 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-northeast3 (Seoul, South Korea) asia-south1 (Mumbai, India) asia-south2 (Delhi, India) asia-southeast1 (Jurong West, Singapore) asia-southeast2 (Jakarta, Indonesia) australia-southeast1 (Sydney, Australia) australia-southeast2 (Melbourne, Australia) europe-central2 (Warsaw, Poland) europe-north1 (Hamina, Finland) europe-southwest1 (Madrid, Spain) europe-west1 (St. Ghislain, Belgium) europe-west2 (London, England, UK) europe-west3 (Frankfurt, Germany) europe-west4 (Eemshaven, Netherlands) europe-west6 (Zurich, Switzerland) europe-west8 (Milan, Italy) europe-west9 (Paris, France) europe-west12 (Turin, Italy) me-central1 (Doha, Qatar, Middle East) me-west1 (Tel Aviv, Israel) northamerica-northeast1 (Montreal, Quebec, Canada) northamerica-northeast2 (Toronto, Ontario, Canada) southamerica-east1 (Sao Paulo, Brazil) southamerica-west1 (Santiago, Chile) us-central1 (Council Bluffs, Iowa, USA) us-east1 (Moncks Corner, South Carolina, USA) us-east4 (Ashburn, Northern Virginia, USA) us-east5 (Columbus, Ohio) us-south1 (Dallas, Texas) us-west1 (The Dalles, Oregon, USA) us-west2 (Los Angeles, California, USA) us-west3 (Salt Lake City, Utah, USA) us-west4 (Las Vegas, Nevada, USA) Note To determine which machine type instances are available by region and zone, see the Google documentation . 10.4.9. 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 USDPATH : gcloud gsutil See Install the latest Cloud SDK version in the GCP documentation. Authenticate using the gcloud tool with your configured service account. See Authorizing with a service account in the GCP documentation. 10.5. Requirements for a cluster with user-provisioned infrastructure For a cluster that contains user-provisioned infrastructure, you must deploy all of the required machines. This section describes the requirements for deploying OpenShift Container Platform on user-provisioned infrastructure. 10.5.1. Required machines for cluster installation The smallest OpenShift Container Platform clusters require the following hosts: Table 10.5. Minimum required hosts Hosts Description One temporary bootstrap machine The cluster requires the bootstrap machine to deploy the OpenShift Container Platform cluster on the three control plane machines. You can remove the bootstrap machine after you install the cluster. Three control plane machines The control plane machines run the Kubernetes and OpenShift Container Platform services that form the control plane. At least two compute machines, which are also known as worker machines. The workloads requested by OpenShift Container Platform users run on the compute machines. Important To maintain high availability of your cluster, use separate physical hosts for these cluster machines. The bootstrap and control plane machines must use Red Hat Enterprise Linux CoreOS (RHCOS) as the operating system. However, the compute machines can choose between Red Hat Enterprise Linux CoreOS (RHCOS), Red Hat Enterprise Linux (RHEL) 8.6 and later. Note that RHCOS is based on Red Hat Enterprise Linux (RHEL) 9.2 and inherits all of its hardware certifications and requirements. See Red Hat Enterprise Linux technology capabilities and limits . 10.5.2. Minimum resource requirements for cluster installation Each cluster machine must meet the following minimum requirements: Table 10.6. Minimum resource requirements Machine Operating System vCPU [1] Virtual RAM Storage Input/Output Per Second (IOPS) [2] Bootstrap RHCOS 4 16 GB 100 GB 300 Control plane RHCOS 4 16 GB 100 GB 300 Compute RHCOS, RHEL 8.6 and later [3] 2 8 GB 100 GB 300 One vCPU is equivalent to one physical core when simultaneous multithreading (SMT), or Hyper-Threading, is not enabled. When enabled, use the following formula to calculate the corresponding ratio: (threads per core x cores) x sockets = vCPUs. OpenShift Container Platform and Kubernetes are sensitive to disk performance, and faster storage is recommended, particularly for etcd on the control plane nodes which require a 10 ms p99 fsync duration. Note that on many cloud platforms, storage size and IOPS scale together, so you might need to over-allocate storage volume to obtain sufficient performance. As with all user-provisioned installations, if you choose to use RHEL compute machines in your cluster, you take responsibility for all operating system life cycle management and maintenance, including performing system updates, applying patches, and completing all other required tasks. Use of RHEL 7 compute machines is deprecated and has been removed in OpenShift Container Platform 4.10 and later. Note As of OpenShift Container Platform version 4.13, RHCOS is based on RHEL version 9.2, which updates the micro-architecture requirements. The following list contains the minimum instruction set architectures (ISA) that each architecture requires: x86-64 architecture requires x86-64-v2 ISA ARM64 architecture requires ARMv8.0-A ISA IBM Power architecture requires Power 9 ISA s390x architecture requires z14 ISA For more information, see Architectures (RHEL documentation). If an instance type for your platform meets the minimum requirements for cluster machines, it is supported to use in OpenShift Container Platform. Additional resources Optimizing storage 10.5.3. Tested instance types for GCP The following Google Cloud Platform instance types have been tested with OpenShift Container Platform. Example 10.24. Machine series C2 C2D C3 E2 M1 N1 N2 N2D Tau T2D 10.5.4. Tested instance types for GCP on 64-bit ARM infrastructures The following Google Cloud Platform (GCP) 64-bit ARM instance types have been tested with OpenShift Container Platform. Example 10.25. Machine series for 64-bit ARM machines Tau T2A 10.5.5. Using custom machine types Using a custom machine type to install a OpenShift Container Platform cluster is supported. Consider the following when using a custom machine type: Similar to predefined instance types, custom machine types must meet the minimum resource requirements for control plane and compute machines. For more information, see "Minimum resource requirements for cluster installation". The name of the custom machine type must adhere to the following syntax: custom-<number_of_cpus>-<amount_of_memory_in_mb> For example, custom-6-20480 . 10.6. 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. You also have the option to first set up a separate var partition during the preparation phases of installation. 10.6.1. Optional: Creating a separate /var partition It is recommended that disk partitioning for OpenShift Container Platform be left to the installer. However, there are cases where you might want to create separate partitions in a part of the filesystem that you expect to grow. OpenShift Container Platform supports the addition of a single partition to attach storage to either the /var partition or a subdirectory of /var . For example: /var/lib/containers : Holds container-related content that can grow as more images and containers are added to a system. /var/lib/etcd : Holds data that you might want to keep separate for purposes such as performance optimization of etcd storage. /var : Holds data that you might want to keep separate for purposes such as auditing. Storing the contents of a /var directory separately makes it easier to grow storage for those areas as needed and reinstall OpenShift Container Platform at a later date and keep that data intact. With this method, you will not have to pull all your containers again, nor will you have to copy massive log files when you update systems. Because /var must be in place before a fresh installation of Red Hat Enterprise Linux CoreOS (RHCOS), the following procedure sets up the separate /var partition by creating a machine config manifest that is inserted during the openshift-install preparation phases of an OpenShift Container Platform installation. Important If you follow the steps to create a separate /var partition in this procedure, it is not necessary to create the Kubernetes manifest and Ignition config files again as described later in this section. Procedure Create a directory to hold the OpenShift Container Platform installation files: USD mkdir USDHOME/clusterconfig Run openshift-install to create a set of files in the manifest and openshift subdirectories. Answer the system questions as you are prompted: USD openshift-install create manifests --dir USDHOME/clusterconfig Example output ? SSH Public Key ... INFO Credentials loaded from the "myprofile" profile in file "/home/myuser/.aws/credentials" INFO Consuming Install Config from target directory INFO Manifests created in: USDHOME/clusterconfig/manifests and USDHOME/clusterconfig/openshift Optional: Confirm that the installation program created manifests in the clusterconfig/openshift directory: USD ls USDHOME/clusterconfig/openshift/ Example output 99_kubeadmin-password-secret.yaml 99_openshift-cluster-api_master-machines-0.yaml 99_openshift-cluster-api_master-machines-1.yaml 99_openshift-cluster-api_master-machines-2.yaml ... Create a Butane config that configures the additional partition. For example, name the file USDHOME/clusterconfig/98-var-partition.bu , change the disk device name to the name of the storage device on the worker systems, and set the storage size as appropriate. This example places the /var directory on a separate partition: variant: openshift version: 4.15.0 metadata: labels: machineconfiguration.openshift.io/role: worker name: 98-var-partition storage: disks: - device: /dev/disk/by-id/<device_name> 1 partitions: - label: var start_mib: <partition_start_offset> 2 size_mib: <partition_size> 3 number: 5 filesystems: - device: /dev/disk/by-partlabel/var path: /var format: xfs mount_options: [defaults, prjquota] 4 with_mount_unit: true 1 The storage device name of the disk that you want to partition. 2 When adding a data partition to the boot disk, a minimum value of 25000 MiB (Mebibytes) is recommended. The root file system is automatically resized to fill all available space up to the specified offset. If no value is specified, or if the specified value is smaller than the recommended minimum, the resulting root file system will be too small, and future reinstalls of RHCOS might overwrite the beginning of the data partition. 3 The size of the data partition in mebibytes. 4 The prjquota mount option must be enabled for filesystems used for container storage. Note When creating a separate /var partition, you cannot use different instance types for worker nodes, if the different instance types do not have the same device name. Create a manifest from the Butane config and save it to the clusterconfig/openshift directory. For example, run the following command: USD butane USDHOME/clusterconfig/98-var-partition.bu -o USDHOME/clusterconfig/openshift/98-var-partition.yaml Run openshift-install again to create Ignition configs from a set of files in the manifest and openshift subdirectories: USD openshift-install create ignition-configs --dir USDHOME/clusterconfig USD ls USDHOME/clusterconfig/ auth bootstrap.ign master.ign metadata.json worker.ign Now you can use the Ignition config files as input to the installation procedures to install Red Hat Enterprise Linux CoreOS (RHCOS) systems. 10.6.2. Creating the installation configuration file You can customize the OpenShift Container Platform cluster you install on Google Cloud Platform (GCP). Prerequisites You have the OpenShift Container Platform installation program and the pull secret for your cluster. Configure a GCP account. Procedure Create the install-config.yaml file. Change to the directory that contains the installation program and run the following command: USD ./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. When specifying the directory: Verify that the directory has the execute permission. This permission is required to run Terraform binaries under the installation directory. Use an empty directory. Some installation assets, such as bootstrap X.509 certificates, have short expiration intervals, therefore 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: Optional: Select an SSH key to use to access your cluster machines. Note 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. Select gcp as the platform to target. 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. Select the project ID to provision the cluster in. The default value is specified by the service account that you configured. Select the region to deploy the cluster to. Select the base domain to deploy the cluster to. The base domain corresponds to the public DNS zone that you created for your cluster. Enter a descriptive name for your cluster. Modify the install-config.yaml file. You can find more information about the available parameters in the "Installation configuration parameters" section. Note If you are installing a three-node cluster, be sure to set the compute.replicas parameter to 0 . This ensures that the cluster's control planes are schedulable. For more information, see "Installing a three-node cluster on GCP". Back up the install-config.yaml file so that you can use it to install multiple clusters. Important The install-config.yaml file is consumed during the installation process. If you want to reuse the file, you must back it up now. Additional resources Installation configuration parameters for GCP 10.6.3. Enabling Shielded VMs You can use Shielded VMs when installing your cluster. Shielded VMs have extra security features including secure boot, firmware and integrity monitoring, and rootkit detection. For more information, see Google's documentation on Shielded VMs . Note Shielded VMs are currently not supported on clusters with 64-bit ARM infrastructures. Procedure Use a text editor to edit the install-config.yaml file prior to deploying your cluster and add one of the following stanzas: To use shielded VMs for only control plane machines: controlPlane: platform: gcp: secureBoot: Enabled To use shielded VMs for only compute machines: compute: - platform: gcp: secureBoot: Enabled To use shielded VMs for all machines: platform: gcp: defaultMachinePlatform: secureBoot: Enabled 10.6.4. Enabling Confidential VMs You can use Confidential VMs when installing your cluster. Confidential VMs encrypt data while it is being processed. For more information, see Google's documentation on Confidential Computing . You can enable Confidential VMs and Shielded VMs at the same time, although they are not dependent on each other. Note Confidential VMs are currently not supported on 64-bit ARM architectures. Procedure Use a text editor to edit the install-config.yaml file prior to deploying your cluster and add one of the following stanzas: To use confidential VMs for only control plane machines: controlPlane: platform: gcp: confidentialCompute: Enabled 1 type: n2d-standard-8 2 onHostMaintenance: Terminate 3 1 Enable confidential VMs. 2 Specify a machine type that supports Confidential VMs. Confidential VMs require the N2D or C2D series of machine types. For more information on supported machine types, see Supported operating systems and machine types . 3 Specify the behavior of the VM during a host maintenance event, such as a hardware or software update. For a machine that uses Confidential VM, this value must be set to Terminate , which stops the VM. Confidential VMs do not support live VM migration. To use confidential VMs for only compute machines: compute: - platform: gcp: confidentialCompute: Enabled type: n2d-standard-8 onHostMaintenance: Terminate To use confidential VMs for all machines: platform: gcp: defaultMachinePlatform: confidentialCompute: Enabled type: n2d-standard-8 onHostMaintenance: Terminate 10.6.5. Configuring the cluster-wide proxy during installation Production environments can deny direct access to the internet and instead have an HTTP or HTTPS proxy available. You can configure a new OpenShift Container Platform cluster to use a proxy by configuring the proxy settings in the install-config.yaml file. Prerequisites You reviewed the sites that your cluster requires access to and determined whether any of them need to bypass the proxy. By default, all cluster egress traffic is proxied, including calls to hosting cloud provider APIs. You added sites to the Proxy object's spec.noProxy field to bypass the proxy if necessary. Note The Proxy object status.noProxy field is populated with the values of the networking.machineNetwork[].cidr , networking.clusterNetwork[].cidr , and networking.serviceNetwork[] fields from your installation configuration. For installations on Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and Red Hat OpenStack Platform (RHOSP), the Proxy object status.noProxy field is also populated with the instance metadata endpoint ( 169.254.169.254 ). Procedure Edit your install-config.yaml file and add the proxy settings. For example: apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- additionalTrustBundlePolicy: <policy_to_add_additionalTrustBundle> 5 1 A proxy URL to use for creating HTTP connections outside the cluster. The URL scheme must be http . 2 A proxy URL to use for creating HTTPS connections outside the cluster. 3 A comma-separated list of destination domain names, IP addresses, or other network CIDRs to exclude from proxying. Preface a domain with . to match subdomains only. For example, .y.com matches x.y.com , but not y.com . Use * to bypass the proxy for all destinations. 4 If provided, the installation program generates a config map that is named user-ca-bundle in the openshift-config namespace that contains one or more additional CA certificates that are required for proxying HTTPS connections. The Cluster Network Operator then creates a trusted-ca-bundle config map that merges these contents with the Red Hat Enterprise Linux CoreOS (RHCOS) trust bundle, and this config map is referenced in the trustedCA field of the Proxy object. The additionalTrustBundle field is required unless the proxy's identity certificate is signed by an authority from the RHCOS trust bundle. 5 Optional: The policy to determine the configuration of the Proxy object to reference the user-ca-bundle config map in the trustedCA field. The allowed values are Proxyonly and Always . Use Proxyonly to reference the user-ca-bundle config map only when http/https proxy is configured. Use Always to always reference the user-ca-bundle config map. The default value is Proxyonly . Note The installation program does not support the proxy readinessEndpoints field. Note If the installer times out, restart and then complete the deployment by using the wait-for command of the installer. For example: USD ./openshift-install wait-for install-complete --log-level debug Save the file and reference it when installing OpenShift Container Platform. The installation program creates a cluster-wide proxy that is named cluster that uses the proxy settings in the provided install-config.yaml file. If no proxy settings are provided, a cluster Proxy object is still created, but it will have a nil spec . Note Only the Proxy object named cluster is supported, and no additional proxies can be created. 10.6.6. 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 configure the machines. The installation configuration file transforms into the Kubernetes manifests. The manifests wrap into the Ignition configuration files, which are later used to configure the cluster machines. Important The Ignition config files that the OpenShift Container Platform 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. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. Procedure Change to the directory that contains the OpenShift Container Platform installation program and generate the Kubernetes manifests for the cluster: USD ./openshift-install create manifests --dir <installation_directory> 1 1 For <installation_directory> , specify the installation directory that contains the install-config.yaml file you created. Remove the Kubernetes manifest files that define the control plane machines: USD 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. Remove the Kubernetes manifest files that define the control plane machine set: USD rm -f <installation_directory>/openshift/99_openshift-machine-api_master-control-plane-machine-set.yaml Optional: If you do not want the cluster to provision compute machines, remove the Kubernetes manifest files that define the worker machines: USD rm -f <installation_directory>/openshift/99_openshift-cluster-api_worker-machineset-*.yaml Important If you disabled the MachineAPI capability when installing a cluster on user-provisioned infrastructure, you must remove the Kubernetes manifest files that define the worker machines. Otherwise, your cluster fails to install. Because you create and manage the worker machines yourself, you do not need to initialize these machines. Warning If you are installing a three-node cluster, skip the following step to allow the control plane nodes to be schedulable. Important When you configure control plane nodes from the default unschedulable to schedulable, additional subscriptions are required. This is because control plane nodes then become compute nodes. Check that the mastersSchedulable parameter in the <installation_directory>/manifests/cluster-scheduler-02-config.yml Kubernetes manifest file is set to false . This setting prevents 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 ensure that it is set to false . Save and exit the file. 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: 2 id: example.openshift.com status: {} 1 2 Remove this section completely. If you do so, you must add ingress DNS records manually in a later step. To create the Ignition configuration files, run the following command from the directory that contains the installation program: USD ./openshift-install create ignition-configs --dir <installation_directory> 1 1 For <installation_directory> , specify the same installation directory. Ignition config files are created for the bootstrap, control plane, and compute nodes in the installation directory. The kubeadmin-password and kubeconfig files are created in the ./<installation_directory>/auth directory: Additional resources Optional: Adding the ingress DNS records 10.7. Exporting common variables 10.7.1. Extracting the infrastructure name The Ignition config files contain a unique cluster identifier that you can use to uniquely identify your cluster in Google Cloud Platform (GCP). The infrastructure name is also used to locate the appropriate GCP resources during an OpenShift Container Platform installation. The provided Deployment Manager templates contain references to this infrastructure name, so you must extract it. Prerequisites You installed the jq package. Procedure To extract and view the infrastructure name from the Ignition config file metadata, run the following command: USD jq -r .infraID <installation_directory>/metadata.json 1 1 For <installation_directory> , specify the path to the directory that you stored the installation files in. Example output openshift-vw9j6 1 1 The output of this command is your cluster name and a random string. 10.7.2. 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). Note Specific Deployment Manager templates can also require additional exported variables, which are detailed in their related procedures. Procedure Export the following common variables to be used by the provided Deployment Manager templates: USD export BASE_DOMAIN='<base_domain>' USD export BASE_DOMAIN_ZONE_NAME='<base_domain_zone_name>' USD export NETWORK_CIDR='10.0.0.0/16' USD export MASTER_SUBNET_CIDR='10.0.0.0/17' USD export WORKER_SUBNET_CIDR='10.0.128.0/17' USD export KUBECONFIG=<installation_directory>/auth/kubeconfig 1 USD export CLUSTER_NAME=`jq -r .clusterName <installation_directory>/metadata.json` USD export INFRA_ID=`jq -r .infraID <installation_directory>/metadata.json` USD export PROJECT_NAME=`jq -r .gcp.projectID <installation_directory>/metadata.json` USD 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. 10.8. 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. Note 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 You have defined the variables in the Exporting common variables section. 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: USD cat <<EOF >01_vpc.yaml imports: - path: 01_vpc.py resources: - name: cluster-vpc type: 01_vpc.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 master_subnet_cidr: 'USD{MASTER_SUBNET_CIDR}' 3 worker_subnet_cidr: 'USD{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-central1 . 3 master_subnet_cidr is the CIDR for the master subnet, for example 10.0.0.0/17 . 4 worker_subnet_cidr is the CIDR for the worker subnet, for example 10.0.128.0/17 . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-vpc --config 01_vpc.yaml 10.8.1. 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: Example 10.26. 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': 'USD(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': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['worker_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-router', 'type': 'compute.v1.router', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'nats': [{ 'name': context.properties['infra_id'] + '-nat-master', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 7168, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-master-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }, { 'name': context.properties['infra_id'] + '-nat-worker', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 512, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-worker-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }] } }] return {'resources': resources} 10.9. Networking requirements for user-provisioned infrastructure All the Red Hat Enterprise Linux CoreOS (RHCOS) machines require networking to be configured in initramfs during boot to fetch their Ignition config files. 10.9.1. Setting the cluster node hostnames through DHCP On Red Hat Enterprise Linux CoreOS (RHCOS) machines, the hostname is set through NetworkManager. By default, the machines obtain their hostname through DHCP. If the hostname is not provided by DHCP, set statically through kernel arguments, or another method, it is obtained through a reverse DNS lookup. Reverse DNS lookup occurs after the network has been initialized on a node and can take time to resolve. Other system services can start prior to this and detect the hostname as localhost or similar. You can avoid this by using DHCP to provide the hostname for each cluster node. Additionally, setting the hostnames through DHCP can bypass any manual DNS record name configuration errors in environments that have a DNS split-horizon implementation. 10.9.2. Network connectivity requirements You must configure the network connectivity between machines to allow OpenShift Container Platform cluster components to communicate. Each machine must be able to resolve the hostnames of all other machines in the cluster. This section provides details about the ports that are required. Important In connected OpenShift Container Platform environments, all nodes are required to have internet access to pull images for platform containers and provide telemetry data to Red Hat. Table 10.7. Ports used for all-machine to all-machine communications Protocol Port Description ICMP N/A Network reachability tests TCP 1936 Metrics 9000 - 9999 Host level services, including the node exporter on ports 9100 - 9101 and the Cluster Version Operator on port 9099 . 10250 - 10259 The default ports that Kubernetes reserves UDP 4789 VXLAN 6081 Geneve 9000 - 9999 Host level services, including the node exporter on ports 9100 - 9101 . 500 IPsec IKE packets 4500 IPsec NAT-T packets 123 Network Time Protocol (NTP) on UDP port 123 If an external NTP time server is configured, you must open UDP port 123 . TCP/UDP 30000 - 32767 Kubernetes node port ESP N/A IPsec Encapsulating Security Payload (ESP) Table 10.8. Ports used for all-machine to control plane communications Protocol Port Description TCP 6443 Kubernetes API Table 10.9. Ports used for control plane machine to control plane machine communications Protocol Port Description TCP 2379 - 2380 etcd server and peer ports 10.10. Creating load balancers in GCP You must configure load balancers 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. Note 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 You have defined the variables in the Exporting common variables section. Procedure Copy the template from the Deployment Manager template for the internal load balancer section of this topic and save it as 02_lb_int.py on your computer. This template describes the internal load balancing objects that your cluster requires. For an external cluster, also copy the template from the Deployment Manager template for the external load balancer section of this topic and save it as 02_lb_ext.py on your computer. This template describes the external load balancing objects that your cluster requires. Export the variables that the deployment template uses: Export the cluster network location: USD export CLUSTER_NETWORK=(`gcloud compute networks describe USD{INFRA_ID}-network --format json | jq -r .selfLink`) Export the control plane subnet location: USD export CONTROL_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-master-subnet --region=USD{REGION} --format json | jq -r .selfLink`) Export the three zones that the cluster uses: USD export ZONE_0=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[0] | cut -d "/" -f9`) USD export ZONE_1=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[1] | cut -d "/" -f9`) USD export ZONE_2=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[2] | cut -d "/" -f9`) Create a 02_infra.yaml resource definition file: USD cat <<EOF >02_infra.yaml imports: - path: 02_lb_ext.py - path: 02_lb_int.py 1 resources: - name: cluster-lb-ext 2 type: 02_lb_ext.py properties: infra_id: 'USD{INFRA_ID}' 3 region: 'USD{REGION}' 4 - name: cluster-lb-int type: 02_lb_int.py properties: cluster_network: 'USD{CLUSTER_NETWORK}' control_subnet: 'USD{CONTROL_SUBNET}' 5 infra_id: 'USD{INFRA_ID}' region: 'USD{REGION}' zones: 6 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' EOF 1 2 Required only when deploying an external cluster. 3 infra_id is the INFRA_ID infrastructure name from the extraction step. 4 region is the region to deploy the cluster into, for example us-central1 . 5 control_subnet is the URI to the control subnet. 6 zones are the zones to deploy the control plane instances into, like us-east1-b , us-east1-c , and us-east1-d . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-infra --config 02_infra.yaml Export the cluster IP address: USD export CLUSTER_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-ip --region=USD{REGION} --format json | jq -r .address`) For an external cluster, also export the cluster public IP address: USD export CLUSTER_PUBLIC_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-public-ip --region=USD{REGION} --format json | jq -r .address`) 10.10.1. Deployment Manager template for the external load balancer You can use the following Deployment Manager template to deploy the external load balancer that you need for your OpenShift Container Platform cluster: Example 10.27. 02_lb_ext.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'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver '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': ['USD(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': 'USD(ref.' + context.properties['infra_id'] + '-cluster-public-ip.selfLink)', 'target': 'USD(ref.' + context.properties['infra_id'] + '-api-target-pool.selfLink)', 'portRange': '6443' } }] return {'resources': resources} 10.10.2. Deployment Manager template for the internal load balancer You can use the following Deployment Manager template to deploy the internal load balancer that you need for your OpenShift Container Platform cluster: Example 10.28. 02_lb_int.py Deployment Manager template def GenerateConfig(context): backends = [] for zone in context.properties['zones']: backends.append({ 'group': 'USD(ref.' + context.properties['infra_id'] + '-master-' + zone + '-ig' + '.selfLink)' }) resources = [{ 'name': context.properties['infra_id'] + '-cluster-ip', 'type': 'compute.v1.address', 'properties': { 'addressType': 'INTERNAL', 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-internal-health-check', 'type': 'compute.v1.healthCheck', 'properties': { 'httpsHealthCheck': { 'port': 6443, 'requestPath': '/readyz' }, 'type': "HTTPS" } }, { 'name': context.properties['infra_id'] + '-api-internal-backend-service', 'type': 'compute.v1.regionBackendService', 'properties': { 'backends': backends, 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-internal-health-check.selfLink)'], 'loadBalancingScheme': 'INTERNAL', 'region': context.properties['region'], 'protocol': 'TCP', 'timeoutSec': 120 } }, { 'name': context.properties['infra_id'] + '-api-internal-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'backendService': 'USD(ref.' + context.properties['infra_id'] + '-api-internal-backend-service.selfLink)', 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-ip.selfLink)', 'loadBalancingScheme': 'INTERNAL', 'ports': ['6443','22623'], 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }] for zone in context.properties['zones']: resources.append({ 'name': context.properties['infra_id'] + '-master-' + zone + '-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': zone } }) return {'resources': resources} You will need this template in addition to the 02_lb_ext.py template when you create an external cluster. 10.11. Creating a private DNS zone in GCP You must configure a private DNS zone in Google Cloud Platform (GCP) for your OpenShift Container Platform cluster to use. One way to create this component is to modify the provided Deployment Manager template. Note 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 Ensure you defined the variables in the Exporting common variables and Creating load balancers in GCP sections. Procedure Copy the template from the Deployment Manager template for the private DNS section of this topic and save it as 02_dns.py on your computer. This template describes the private DNS objects that your cluster requires. Create a 02_dns.yaml resource definition file: USD cat <<EOF >02_dns.yaml imports: - path: 02_dns.py resources: - name: cluster-dns type: 02_dns.py properties: infra_id: 'USD{INFRA_ID}' 1 cluster_domain: 'USD{CLUSTER_NAME}.USD{BASE_DOMAIN}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. 2 cluster_domain is the domain for the cluster, for example openshift.example.com . 3 cluster_network is the selfLink URL to the cluster network. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-dns --config 02_dns.yaml The templates do not create DNS entries due to limitations of Deployment Manager, so you must create them manually: Add the internal DNS entries: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api-int.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone For an external cluster, also add the external DNS entries: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction add USD{CLUSTER_PUBLIC_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME} 10.11.1. Deployment Manager template for the private DNS You can use the following Deployment Manager template to deploy the private DNS that you need for your OpenShift Container Platform cluster: Example 10.29. 02_dns.py Deployment Manager template def GenerateConfig(context): resources = [{ '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} 10.12. Creating firewall rules in GCP You must create firewall rules 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. Note 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 Ensure you defined the variables in the Exporting common variables and Creating load balancers in GCP sections. Procedure Copy the template from the Deployment Manager template for firewall rules section of this topic and save it as 03_firewall.py on your computer. This template describes the security groups that your cluster requires. Create a 03_firewall.yaml resource definition file: USD cat <<EOF >03_firewall.yaml imports: - path: 03_firewall.py resources: - name: cluster-firewall type: 03_firewall.py properties: allowed_external_cidr: '0.0.0.0/0' 1 infra_id: 'USD{INFRA_ID}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 network_cidr: 'USD{NETWORK_CIDR}' 4 EOF 1 allowed_external_cidr is the CIDR range that can access the cluster API and SSH to the bootstrap host. For an internal cluster, set this value to USD{NETWORK_CIDR} . 2 infra_id is the INFRA_ID infrastructure name from the extraction step. 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 . Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-firewall --config 03_firewall.yaml 10.12.1. Deployment Manager template for firewall rules You can use the following Deployment Manager template to deploy the firewall rues that you need for your OpenShift Container Platform cluster: Example 10.30. 03_firewall.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-in-ssh', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-bootstrap'] } }, { 'name': context.properties['infra_id'] + '-api', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6443'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], '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', '6443', '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'] },{ 'IPProtocol': 'tcp', 'ports': ['22623'] }], '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': 'udp', 'ports': ['500', '4500'] },{ 'IPProtocol': 'esp', },{ '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' ] } }] return {'resources': resources} 10.13. Creating IAM roles in GCP You must create IAM 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. Note 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 You have defined the variables in the Exporting common variables section. Procedure Copy the template from the Deployment Manager template for IAM roles section of this topic and save it as 03_iam.py on your computer. This template describes the IAM roles that your cluster requires. Create a 03_iam.yaml resource definition file: USD cat <<EOF >03_iam.yaml imports: - path: 03_iam.py resources: - name: cluster-iam type: 03_iam.py properties: infra_id: 'USD{INFRA_ID}' 1 EOF 1 infra_id is the INFRA_ID infrastructure name from the extraction step. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{INFRA_ID}-iam --config 03_iam.yaml Export the variable for the master service account: USD export MASTER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-m@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Export the variable for the worker service account: USD export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Export the variable for the subnet that hosts the compute machines: USD export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`) The templates do not create the policy bindings due to limitations of Deployment Manager, so you must create them manually: USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.instanceAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.networkAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.securityAdmin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/iam.serviceAccountUser" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/storage.admin" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/compute.viewer" USD gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/storage.admin" Create a service account key and store it locally for later use: USD gcloud iam service-accounts keys create service-account-key.json --iam-account=USD{MASTER_SERVICE_ACCOUNT} 10.13.1. Deployment Manager template for IAM roles You can use the following Deployment Manager template to deploy the IAM roles that you need for your OpenShift Container Platform cluster: Example 10.31. 03_iam.py Deployment Manager template def GenerateConfig(context): resources = [{ '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} 10.14. 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 RHCOS image mirror page. Important 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>-<arch>-gcp.<arch>.tar.gz . Create the Google storage bucket: USD gsutil mb gs://<bucket_name> Upload the RHCOS image to the Google storage bucket: USD gsutil cp <downloaded_image_file_path>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz gs://<bucket_name> Export the uploaded RHCOS image location as a variable: USD export IMAGE_SOURCE=gs://<bucket_name>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz Create the cluster image: USD gcloud compute images create "USD{INFRA_ID}-rhcos-image" \ --source-uri="USD{IMAGE_SOURCE}" 10.15. 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. Note 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 Ensure you defined the variables in the Exporting common variables and Creating load balancers in GCP sections. Ensure you installed pyOpenSSL. 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 location of the Red Hat Enterprise Linux CoreOS (RHCOS) image that the installation program requires: USD export CLUSTER_IMAGE=(`gcloud compute images describe USD{INFRA_ID}-rhcos-image --format json | jq -r .selfLink`) Create a bucket and upload the bootstrap.ign file: USD gsutil mb gs://USD{INFRA_ID}-bootstrap-ignition USD gsutil cp <installation_directory>/bootstrap.ign gs://USD{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: USD export BOOTSTRAP_IGN=`gsutil signurl -d 1h service-account-key.json gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign | grep "^gs:" | awk '{print USD5}'` Create a 04_bootstrap.yaml resource definition file: USD cat <<EOF >04_bootstrap.yaml imports: - path: 04_bootstrap.py resources: - name: cluster-bootstrap type: 04_bootstrap.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 zone: 'USD{ZONE_0}' 3 cluster_network: 'USD{CLUSTER_NETWORK}' 4 control_subnet: 'USD{CONTROL_SUBNET}' 5 image: 'USD{CLUSTER_IMAGE}' 6 machine_type: 'n1-standard-4' 7 root_volume_size: '128' 8 bootstrap_ign: 'USD{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-central1 . 3 zone is the zone to deploy the bootstrap instance into, for example us-central1-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 root_volume_size is the boot disk size for the bootstrap machine. 9 bootstrap_ign is the URL output when creating a signed URL. Create the deployment by using the gcloud CLI: USD gcloud deployment-manager deployments create USD{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. Add the bootstrap instance to the internal load balancer instance group: USD gcloud compute instance-groups unmanaged add-instances \ USD{INFRA_ID}-bootstrap-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-bootstrap Add the bootstrap instance group to the internal load balancer backend service: USD gcloud compute backend-services add-backend \ USD{INFRA_ID}-api-internal --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0} 10.15.1. 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: Example 10.32. 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', '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'] + '"}},"version":"3.2.0"}}', }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'], 'accessConfigs': [{ 'natIP': 'USD(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'] } }, { 'name': context.properties['infra_id'] + '-bootstrap-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': context.properties['zone'] } }] return {'resources': resources} 10.16. 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. Note 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 Ensure you defined the variables in the Exporting common variables , Creating load balancers in GCP , Creating IAM roles in GCP , and Creating the bootstrap machine in GCP sections. 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 variable required by the resource definition: USD export MASTER_IGNITION=`cat <installation_directory>/master.ign` Create a 05_control_plane.yaml resource definition file: USD 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: 'USD{INFRA_ID}' 1 zones: 2 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' control_subnet: 'USD{CONTROL_SUBNET}' 3 image: 'USD{CLUSTER_IMAGE}' 4 machine_type: 'n1-standard-4' 5 root_volume_size: '128' service_account_email: 'USD{MASTER_SERVICE_ACCOUNT}' 6 ignition: 'USD{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-central1-a , us-central1-b , and us-central1-c . 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: USD gcloud deployment-manager deployments create USD{INFRA_ID}-control-plane --config 05_control_plane.yaml The templates do not manage load balancer membership due to limitations of Deployment Manager, so you must add the control plane machines manually. Run the following commands to add the control plane machines to the appropriate instance groups: USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_0}-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-master-0 USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_1}-ig --zone=USD{ZONE_1} --instances=USD{INFRA_ID}-master-1 USD gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_2}-ig --zone=USD{ZONE_2} --instances=USD{INFRA_ID}-master-2 For an external cluster, you must also run the following commands to add the control plane machines to the target pools: USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_0}" --instances=USD{INFRA_ID}-master-0 USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_1}" --instances=USD{INFRA_ID}-master-1 USD gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_2}" --instances=USD{INFRA_ID}-master-2 10.16.1. 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: Example 10.33. 05_control_plane.py Deployment Manager template def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-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'] + '-master-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'] + '-master-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} 10.17. 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 Ensure you defined the variables in the Exporting common variables and Creating load balancers in GCP sections. Create the bootstrap machine. Create the control plane machines. Procedure Change to the directory that contains the installation program and run the following command: USD ./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: USD gcloud compute backend-services remove-backend USD{INFRA_ID}-api-internal --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0} USD gsutil rm gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign USD gsutil rb gs://USD{INFRA_ID}-bootstrap-ignition USD gcloud deployment-manager deployments delete USD{INFRA_ID}-bootstrap 10.18. 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. Note If you are installing a three-node cluster, skip this step. A three-node cluster consists of three control plane machines, which also act as compute machines. 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. Note 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 Ensure you defined the variables in the Exporting common variables , Creating load balancers in GCP , and Creating the bootstrap machine in GCP sections. 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 variables that the resource definition uses. Export the subnet that hosts the compute machines: USD export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`) Export the email address for your service account: USD export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`) Export the location of the compute machine Ignition config file: USD export WORKER_IGNITION=`cat <installation_directory>/worker.ign` Create a 06_worker.yaml resource definition file: USD cat <<EOF >06_worker.yaml imports: - path: 06_worker.py resources: - name: 'worker-0' 1 type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 2 zone: 'USD{ZONE_0}' 3 compute_subnet: 'USD{COMPUTE_SUBNET}' 4 image: 'USD{CLUSTER_IMAGE}' 5 machine_type: 'n1-standard-4' 6 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 7 ignition: 'USD{WORKER_IGNITION}' 8 - name: 'worker-1' type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 9 zone: 'USD{ZONE_1}' 10 compute_subnet: 'USD{COMPUTE_SUBNET}' 11 image: 'USD{CLUSTER_IMAGE}' 12 machine_type: 'n1-standard-4' 13 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 14 ignition: 'USD{WORKER_IGNITION}' 15 EOF 1 name is the name of the worker machine, for example worker-0 . 2 9 infra_id is the INFRA_ID infrastructure name from the extraction step. 3 10 zone is the zone to deploy the worker machine into, for example us-central1-a . 4 11 compute_subnet is the selfLink URL to the compute subnet. 5 12 image is the selfLink URL to the RHCOS image. 1 6 13 machine_type is the machine type of the instance, for example n1-standard-4 . 7 14 service_account_email is the email address for the worker service account that you created. 8 15 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: USD gcloud deployment-manager deployments create USD{INFRA_ID}-worker --config 06_worker.yaml To use a GCP Marketplace image, specify the offer to use: OpenShift Container Platform: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-ocp-413-x86-64-202305021736 OpenShift Platform Plus: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-opp-413-x86-64-202305021736 OpenShift Kubernetes Engine: https://www.googleapis.com/compute/v1/projects/redhat-marketplace-public/global/images/redhat-coreos-oke-413-x86-64-202305021736 10.18.1. 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: Example 10.34. 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} 10.19. Installing the OpenShift CLI by downloading the binary You can install the OpenShift CLI ( oc ) to interact with OpenShift Container Platform from a command-line interface. You can install oc on Linux, Windows, or macOS. Important If you installed an earlier version of oc , you cannot use it to complete all of the commands in OpenShift Container Platform 4.15. Download and install the new version of oc . Installing the OpenShift CLI on Linux You can install the OpenShift CLI ( oc ) binary on Linux by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the architecture from the Product Variant drop-down list. Select the appropriate version from the Version drop-down list. Click Download Now to the OpenShift v4.15 Linux Clients entry and save the file. Unpack the archive: USD tar xvf <file> Place the oc binary in a directory that is on your PATH . To check your PATH , execute the following command: USD echo USDPATH Verification After you install the OpenShift CLI, it is available using the oc command: USD oc <command> Installing the OpenShift CLI on Windows You can install the OpenShift CLI ( oc ) binary on Windows by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version from the Version drop-down list. Click Download Now to the OpenShift v4.15 Windows Client entry and save the file. Unzip the archive with a ZIP program. Move the oc binary to a directory that is on your PATH . To check your PATH , open the command prompt and execute the following command: C:\> path Verification After you install the OpenShift CLI, it is available using the oc command: C:\> oc <command> Installing the OpenShift CLI on macOS You can install the OpenShift CLI ( oc ) binary on macOS by using the following procedure. Procedure Navigate to the OpenShift Container Platform downloads page on the Red Hat Customer Portal. Select the appropriate version from the Version drop-down list. Click Download Now to the OpenShift v4.15 macOS Clients entry and save the file. Note For macOS arm64, choose the OpenShift v4.15 macOS arm64 Client entry. Unpack and unzip the archive. Move the oc binary to a directory on your PATH. To check your PATH , open a terminal and execute the following command: USD echo USDPATH Verification Verify your installation by using an oc command: USD oc <command> 10.20. Logging in to the cluster by using the CLI 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 You installed the oc CLI. Ensure the bootstrap process completed successfully. Procedure Export the kubeadmin credentials: USD 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: USD oc whoami Example output system:admin 10.21. 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: USD oc get nodes Example output NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.28.5 master-1 Ready master 63m v1.28.5 master-2 Ready master 64m v1.28.5 The output lists all of the machines that you created. Note The preceding output might not include the compute nodes, also known as worker nodes, until some CSRs are approved. 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: USD oc get csr Example output 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: Note 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 the client CSR is approved, the Kubelet creates a secondary CSR for the serving certificate, which requires manual approval. Then, subsequent serving certificate renewal requests are automatically approved by the machine-approver if the Kubelet requests a new certificate with identical parameters. Note For clusters running on platforms that are not machine API enabled, such as bare metal and other user-provisioned infrastructure, you must implement a method of automatically approving the kubelet serving certificate requests (CSRs). If a request is not approved, then the oc exec , oc rsh , and oc logs commands cannot succeed, because a serving certificate is required when the API server connects to the kubelet. Any operation that contacts the Kubelet endpoint requires this certificate approval to be in place. The method must watch for new CSRs, confirm that the CSR was submitted by the node-bootstrapper service account in the system:node or system:admin groups, and confirm the identity of the node. To approve them individually, run the following command for each valid CSR: USD 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: USD oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve Note Some Operators might not become available until some CSRs are approved. Now that your client requests are approved, you must review the server requests for each machine that you added to the cluster: USD 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: USD 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: USD 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: USD oc get nodes Example output NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.28.5 master-1 Ready master 73m v1.28.5 master-2 Ready master 74m v1.28.5 worker-0 Ready worker 11m v1.28.5 worker-1 Ready worker 11m v1.28.5 Note 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 . 10.22. 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 Ensure you defined the variables in the Exporting common variables section. Remove the DNS Zone configuration when creating Kubernetes manifests and generating Ignition configs. Ensure the bootstrap process completed successfully. Procedure Wait for the Ingress router to create a load balancer and populate the EXTERNAL-IP field: USD oc -n openshift-ingress get service router-default Example output 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 zones: To use A records: Export the variable for the router IP address: USD export ROUTER_IP=`oc -n openshift-ingress get service router-default --no-headers | awk '{print USD4}'` Add the A record to the private zones: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction add USD{ROUTER_IP} --name \*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{INFRA_ID}-private-zone USD gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone For an external cluster, also add the A record to the public zones: USD if [ -f transaction.yaml ]; then rm transaction.yaml; fi USD gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction add USD{ROUTER_IP} --name \*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} USD gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME} To add explicit domains instead of using a wildcard, create entries for each of the cluster's current routes: USD oc get --all-namespaces -o jsonpath='{range .items[*]}{range .status.ingress[*]}{.host}{"\n"}{end}{end}' routes Example output 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 prometheus-k8s-openshift-monitoring.apps.your.cluster.domain.example.com 10.23. 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 Ensure the bootstrap process completed successfully. Procedure Complete the cluster installation: USD ./openshift-install --dir <installation_directory> wait-for install-complete 1 Example output 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. Important 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. It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation. Observe the running state of your cluster. Run the following command to view the current cluster version and status: USD oc get clusterversion Example output NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version False True 24m Working towards 4.5.4: 99% complete Run the following command to view the Operators managed on the control plane by the Cluster Version Operator (CVO): USD oc get clusteroperators Example output NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE authentication 4.5.4 True False False 7m56s cloud-credential 4.5.4 True False False 31m cluster-autoscaler 4.5.4 True False False 16m console 4.5.4 True False False 10m csi-snapshot-controller 4.5.4 True False False 16m dns 4.5.4 True False False 22m etcd 4.5.4 False False False 25s image-registry 4.5.4 True False False 16m ingress 4.5.4 True False False 16m insights 4.5.4 True False False 17m kube-apiserver 4.5.4 True False False 19m kube-controller-manager 4.5.4 True False False 20m kube-scheduler 4.5.4 True False False 20m kube-storage-version-migrator 4.5.4 True False False 16m machine-api 4.5.4 True False False 22m machine-config 4.5.4 True False False 22m marketplace 4.5.4 True False False 16m monitoring 4.5.4 True False False 10m network 4.5.4 True False False 23m node-tuning 4.5.4 True False False 23m openshift-apiserver 4.5.4 True False False 17m openshift-controller-manager 4.5.4 True False False 15m openshift-samples 4.5.4 True False False 16m operator-lifecycle-manager 4.5.4 True False False 22m operator-lifecycle-manager-catalog 4.5.4 True False False 22m operator-lifecycle-manager-packageserver 4.5.4 True False False 18m service-ca 4.5.4 True False False 23m service-catalog-apiserver 4.5.4 True False False 23m service-catalog-controller-manager 4.5.4 True False False 23m storage 4.5.4 True False False 17m Run the following command to view your cluster pods: USD oc get pods --all-namespaces Example output 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. 10.24. Telemetry access for OpenShift Container Platform In OpenShift Container Platform 4.15, the Telemetry service, which runs by default to provide metrics about cluster health and the success of updates, requires internet access. If your cluster is connected to the internet, Telemetry runs automatically, and your cluster is registered to OpenShift Cluster Manager . After you confirm that your OpenShift Cluster Manager inventory is correct, either maintained automatically by Telemetry or manually by using OpenShift Cluster Manager, use subscription watch to track your OpenShift Container Platform subscriptions at the account or multi-cluster level. Additional resources See About remote health monitoring for more information about the Telemetry service 10.25. steps Customize your cluster . If necessary, you can opt out of remote health reporting . Configure Global Access for an Ingress Controller on GCP .

Commands:
mkdir USDHOME/clusterconfig
openshift-install create manifests --dir USDHOME/clusterconfig
? SSH Public Key INFO Credentials loaded from the "myprofile" profile in file "/home/myuser/.aws/credentials" INFO Consuming Install Config from target directory INFO Manifests created in: USDHOME/clusterconfig/manifests and USDHOME/clusterconfig/openshift
ls USDHOME/clusterconfig/openshift/
99_kubeadmin-password-secret.yaml 99_openshift-cluster-api_master-machines-0.yaml 99_openshift-cluster-api_master-machines-1.yaml 99_openshift-cluster-api_master-machines-2.yaml
variant: openshift version: 4.15.0 metadata: labels: machineconfiguration.openshift.io/role: worker name: 98-var-partition storage: disks: - device: /dev/disk/by-id/<device_name> 1 partitions: - label: var start_mib: <partition_start_offset> 2 size_mib: <partition_size> 3 number: 5 filesystems: - device: /dev/disk/by-partlabel/var path: /var format: xfs mount_options: [defaults, prjquota] 4 with_mount_unit: true
butane USDHOME/clusterconfig/98-var-partition.bu -o USDHOME/clusterconfig/openshift/98-var-partition.yaml
openshift-install create ignition-configs --dir USDHOME/clusterconfig ls USDHOME/clusterconfig/ auth bootstrap.ign master.ign metadata.json worker.ign
./openshift-install create install-config --dir <installation_directory> 1
controlPlane: platform: gcp: secureBoot: Enabled
compute: - platform: gcp: secureBoot: Enabled
platform: gcp: defaultMachinePlatform: secureBoot: Enabled
controlPlane: platform: gcp: confidentialCompute: Enabled 1 type: n2d-standard-8 2 onHostMaintenance: Terminate 3
compute: - platform: gcp: confidentialCompute: Enabled type: n2d-standard-8 onHostMaintenance: Terminate
platform: gcp: defaultMachinePlatform: confidentialCompute: Enabled type: n2d-standard-8 onHostMaintenance: Terminate
apiVersion: v1 baseDomain: my.domain.com proxy: httpProxy: http://<username>:<pswd>@<ip>:<port> 1 httpsProxy: https://<username>:<pswd>@<ip>:<port> 2 noProxy: example.com 3 additionalTrustBundle: | 4 -----BEGIN CERTIFICATE----- <MY_TRUSTED_CA_CERT> -----END CERTIFICATE----- additionalTrustBundlePolicy: <policy_to_add_additionalTrustBundle> 5
./openshift-install wait-for install-complete --log-level debug
./openshift-install create manifests --dir <installation_directory> 1
rm -f <installation_directory>/openshift/99_openshift-cluster-api_master-machines-*.yaml
rm -f <installation_directory>/openshift/99_openshift-machine-api_master-control-plane-machine-set.yaml
rm -f <installation_directory>/openshift/99_openshift-cluster-api_worker-machineset-*.yaml
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: 2 id: example.openshift.com status: {}
./openshift-install create ignition-configs --dir <installation_directory> 1
. ├── auth │ ├── kubeadmin-password │ └── kubeconfig ├── bootstrap.ign ├── master.ign ├── metadata.json └── worker.ign
jq -r .infraID <installation_directory>/metadata.json 1
openshift-vw9j6 1
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='10.0.0.0/17' export WORKER_SUBNET_CIDR='10.0.128.0/17' 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`
cat <<EOF >01_vpc.yaml imports: - path: 01_vpc.py resources: - name: cluster-vpc type: 01_vpc.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 master_subnet_cidr: 'USD{MASTER_SUBNET_CIDR}' 3 worker_subnet_cidr: 'USD{WORKER_SUBNET_CIDR}' 4 EOF
gcloud deployment-manager deployments create USD{INFRA_ID}-vpc --config 01_vpc.yaml
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': 'USD(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': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'ipCidrRange': context.properties['worker_subnet_cidr'] } }, { 'name': context.properties['infra_id'] + '-router', 'type': 'compute.v1.router', 'properties': { 'region': context.properties['region'], 'network': 'USD(ref.' + context.properties['infra_id'] + '-network.selfLink)', 'nats': [{ 'name': context.properties['infra_id'] + '-nat-master', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 7168, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-master-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }, { 'name': context.properties['infra_id'] + '-nat-worker', 'natIpAllocateOption': 'AUTO_ONLY', 'minPortsPerVm': 512, 'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS', 'subnetworks': [{ 'name': 'USD(ref.' + context.properties['infra_id'] + '-worker-subnet.selfLink)', 'sourceIpRangesToNat': ['ALL_IP_RANGES'] }] }] } }] return {'resources': resources}
export CLUSTER_NETWORK=(`gcloud compute networks describe USD{INFRA_ID}-network --format json | jq -r .selfLink`)
export CONTROL_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-master-subnet --region=USD{REGION} --format json | jq -r .selfLink`)
export ZONE_0=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[0] | cut -d "/" -f9`)
export ZONE_1=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[1] | cut -d "/" -f9`)
export ZONE_2=(`gcloud compute regions describe USD{REGION} --format=json | jq -r .zones[2] | cut -d "/" -f9`)
cat <<EOF >02_infra.yaml imports: - path: 02_lb_ext.py - path: 02_lb_int.py 1 resources: - name: cluster-lb-ext 2 type: 02_lb_ext.py properties: infra_id: 'USD{INFRA_ID}' 3 region: 'USD{REGION}' 4 - name: cluster-lb-int type: 02_lb_int.py properties: cluster_network: 'USD{CLUSTER_NETWORK}' control_subnet: 'USD{CONTROL_SUBNET}' 5 infra_id: 'USD{INFRA_ID}' region: 'USD{REGION}' zones: 6 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' EOF
gcloud deployment-manager deployments create USD{INFRA_ID}-infra --config 02_infra.yaml
export CLUSTER_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-ip --region=USD{REGION} --format json | jq -r .address`)
export CLUSTER_PUBLIC_IP=(`gcloud compute addresses describe USD{INFRA_ID}-cluster-public-ip --region=USD{REGION} --format json | jq -r .address`)
def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-cluster-public-ip', 'type': 'compute.v1.address', 'properties': { 'region': context.properties['region'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver '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': ['USD(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': 'USD(ref.' + context.properties['infra_id'] + '-cluster-public-ip.selfLink)', 'target': 'USD(ref.' + context.properties['infra_id'] + '-api-target-pool.selfLink)', 'portRange': '6443' } }] return {'resources': resources}
def GenerateConfig(context): backends = [] for zone in context.properties['zones']: backends.append({ 'group': 'USD(ref.' + context.properties['infra_id'] + '-master-' + zone + '-ig' + '.selfLink)' }) resources = [{ 'name': context.properties['infra_id'] + '-cluster-ip', 'type': 'compute.v1.address', 'properties': { 'addressType': 'INTERNAL', 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }, { # Refer to docs/dev/kube-apiserver-health-check.md on how to correctly setup health check probe for kube-apiserver 'name': context.properties['infra_id'] + '-api-internal-health-check', 'type': 'compute.v1.healthCheck', 'properties': { 'httpsHealthCheck': { 'port': 6443, 'requestPath': '/readyz' }, 'type': "HTTPS" } }, { 'name': context.properties['infra_id'] + '-api-internal-backend-service', 'type': 'compute.v1.regionBackendService', 'properties': { 'backends': backends, 'healthChecks': ['USD(ref.' + context.properties['infra_id'] + '-api-internal-health-check.selfLink)'], 'loadBalancingScheme': 'INTERNAL', 'region': context.properties['region'], 'protocol': 'TCP', 'timeoutSec': 120 } }, { 'name': context.properties['infra_id'] + '-api-internal-forwarding-rule', 'type': 'compute.v1.forwardingRule', 'properties': { 'backendService': 'USD(ref.' + context.properties['infra_id'] + '-api-internal-backend-service.selfLink)', 'IPAddress': 'USD(ref.' + context.properties['infra_id'] + '-cluster-ip.selfLink)', 'loadBalancingScheme': 'INTERNAL', 'ports': ['6443','22623'], 'region': context.properties['region'], 'subnetwork': context.properties['control_subnet'] } }] for zone in context.properties['zones']: resources.append({ 'name': context.properties['infra_id'] + '-master-' + zone + '-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': zone } }) return {'resources': resources}
cat <<EOF >02_dns.yaml imports: - path: 02_dns.py resources: - name: cluster-dns type: 02_dns.py properties: infra_id: 'USD{INFRA_ID}' 1 cluster_domain: 'USD{CLUSTER_NAME}.USD{BASE_DOMAIN}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 EOF
gcloud deployment-manager deployments create USD{INFRA_ID}-dns --config 02_dns.yaml
if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction add USD{CLUSTER_IP} --name api-int.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone
if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction add USD{CLUSTER_PUBLIC_IP} --name api.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 60 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME}
def GenerateConfig(context): resources = [{ '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}
cat <<EOF >03_firewall.yaml imports: - path: 03_firewall.py resources: - name: cluster-firewall type: 03_firewall.py properties: allowed_external_cidr: '0.0.0.0/0' 1 infra_id: 'USD{INFRA_ID}' 2 cluster_network: 'USD{CLUSTER_NETWORK}' 3 network_cidr: 'USD{NETWORK_CIDR}' 4 EOF
gcloud deployment-manager deployments create USD{INFRA_ID}-firewall --config 03_firewall.yaml
def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-bootstrap-in-ssh', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['22'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], 'targetTags': [context.properties['infra_id'] + '-bootstrap'] } }, { 'name': context.properties['infra_id'] + '-api', 'type': 'compute.v1.firewall', 'properties': { 'network': context.properties['cluster_network'], 'allowed': [{ 'IPProtocol': 'tcp', 'ports': ['6443'] }], 'sourceRanges': [context.properties['allowed_external_cidr']], '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', '6443', '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'] },{ 'IPProtocol': 'tcp', 'ports': ['22623'] }], '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': 'udp', 'ports': ['500', '4500'] },{ 'IPProtocol': 'esp', },{ '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' ] } }] return {'resources': resources}
cat <<EOF >03_iam.yaml imports: - path: 03_iam.py resources: - name: cluster-iam type: 03_iam.py properties: infra_id: 'USD{INFRA_ID}' 1 EOF
gcloud deployment-manager deployments create USD{INFRA_ID}-iam --config 03_iam.yaml
export MASTER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-m@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`)
export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`)
export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`)
gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.instanceAdmin" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.networkAdmin" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/compute.securityAdmin" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/iam.serviceAccountUser" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{MASTER_SERVICE_ACCOUNT}" --role "roles/storage.admin" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/compute.viewer" gcloud projects add-iam-policy-binding USD{PROJECT_NAME} --member "serviceAccount:USD{WORKER_SERVICE_ACCOUNT}" --role "roles/storage.admin"
gcloud iam service-accounts keys create service-account-key.json --iam-account=USD{MASTER_SERVICE_ACCOUNT}
def GenerateConfig(context): resources = [{ '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}
gsutil mb gs://<bucket_name>
gsutil cp <downloaded_image_file_path>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz gs://<bucket_name>
export IMAGE_SOURCE=gs://<bucket_name>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz
gcloud compute images create "USD{INFRA_ID}-rhcos-image" --source-uri="USD{IMAGE_SOURCE}"
export CLUSTER_IMAGE=(`gcloud compute images describe USD{INFRA_ID}-rhcos-image --format json | jq -r .selfLink`)
gsutil mb gs://USD{INFRA_ID}-bootstrap-ignition
gsutil cp <installation_directory>/bootstrap.ign gs://USD{INFRA_ID}-bootstrap-ignition/
export BOOTSTRAP_IGN=`gsutil signurl -d 1h service-account-key.json gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign | grep "^gs:" | awk '{print USD5}'`
cat <<EOF >04_bootstrap.yaml imports: - path: 04_bootstrap.py resources: - name: cluster-bootstrap type: 04_bootstrap.py properties: infra_id: 'USD{INFRA_ID}' 1 region: 'USD{REGION}' 2 zone: 'USD{ZONE_0}' 3 cluster_network: 'USD{CLUSTER_NETWORK}' 4 control_subnet: 'USD{CONTROL_SUBNET}' 5 image: 'USD{CLUSTER_IMAGE}' 6 machine_type: 'n1-standard-4' 7 root_volume_size: '128' 8 bootstrap_ign: 'USD{BOOTSTRAP_IGN}' 9 EOF
gcloud deployment-manager deployments create USD{INFRA_ID}-bootstrap --config 04_bootstrap.yaml
gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-bootstrap-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-bootstrap
gcloud compute backend-services add-backend USD{INFRA_ID}-api-internal --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0}
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', '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'] + '"}},"version":"3.2.0"}}', }] }, 'networkInterfaces': [{ 'subnetwork': context.properties['control_subnet'], 'accessConfigs': [{ 'natIP': 'USD(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'] } }, { 'name': context.properties['infra_id'] + '-bootstrap-ig', 'type': 'compute.v1.instanceGroup', 'properties': { 'namedPorts': [ { 'name': 'ignition', 'port': 22623 }, { 'name': 'https', 'port': 6443 } ], 'network': context.properties['cluster_network'], 'zone': context.properties['zone'] } }] return {'resources': resources}
export MASTER_IGNITION=`cat <installation_directory>/master.ign`
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: 'USD{INFRA_ID}' 1 zones: 2 - 'USD{ZONE_0}' - 'USD{ZONE_1}' - 'USD{ZONE_2}' control_subnet: 'USD{CONTROL_SUBNET}' 3 image: 'USD{CLUSTER_IMAGE}' 4 machine_type: 'n1-standard-4' 5 root_volume_size: '128' service_account_email: 'USD{MASTER_SERVICE_ACCOUNT}' 6 ignition: 'USD{MASTER_IGNITION}' 7 EOF
gcloud deployment-manager deployments create USD{INFRA_ID}-control-plane --config 05_control_plane.yaml
gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_0}-ig --zone=USD{ZONE_0} --instances=USD{INFRA_ID}-master-0
gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_1}-ig --zone=USD{ZONE_1} --instances=USD{INFRA_ID}-master-1
gcloud compute instance-groups unmanaged add-instances USD{INFRA_ID}-master-USD{ZONE_2}-ig --zone=USD{ZONE_2} --instances=USD{INFRA_ID}-master-2
gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_0}" --instances=USD{INFRA_ID}-master-0
gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_1}" --instances=USD{INFRA_ID}-master-1
gcloud compute target-pools add-instances USD{INFRA_ID}-api-target-pool --instances-zone="USD{ZONE_2}" --instances=USD{INFRA_ID}-master-2
def GenerateConfig(context): resources = [{ 'name': context.properties['infra_id'] + '-master-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'] + '-master-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'] + '-master-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}
./openshift-install wait-for bootstrap-complete --dir <installation_directory> \ 1 --log-level info 2
gcloud compute backend-services remove-backend USD{INFRA_ID}-api-internal --region=USD{REGION} --instance-group=USD{INFRA_ID}-bootstrap-ig --instance-group-zone=USD{ZONE_0}
gsutil rm gs://USD{INFRA_ID}-bootstrap-ignition/bootstrap.ign
gsutil rb gs://USD{INFRA_ID}-bootstrap-ignition
gcloud deployment-manager deployments delete USD{INFRA_ID}-bootstrap
export COMPUTE_SUBNET=(`gcloud compute networks subnets describe USD{INFRA_ID}-worker-subnet --region=USD{REGION} --format json | jq -r .selfLink`)
export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^USD{INFRA_ID}-w@USD{PROJECT_NAME}." --format json | jq -r '.[0].email'`)
export WORKER_IGNITION=`cat <installation_directory>/worker.ign`
cat <<EOF >06_worker.yaml imports: - path: 06_worker.py resources: - name: 'worker-0' 1 type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 2 zone: 'USD{ZONE_0}' 3 compute_subnet: 'USD{COMPUTE_SUBNET}' 4 image: 'USD{CLUSTER_IMAGE}' 5 machine_type: 'n1-standard-4' 6 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 7 ignition: 'USD{WORKER_IGNITION}' 8 - name: 'worker-1' type: 06_worker.py properties: infra_id: 'USD{INFRA_ID}' 9 zone: 'USD{ZONE_1}' 10 compute_subnet: 'USD{COMPUTE_SUBNET}' 11 image: 'USD{CLUSTER_IMAGE}' 12 machine_type: 'n1-standard-4' 13 root_volume_size: '128' service_account_email: 'USD{WORKER_SERVICE_ACCOUNT}' 14 ignition: 'USD{WORKER_IGNITION}' 15 EOF
gcloud deployment-manager deployments create USD{INFRA_ID}-worker --config 06_worker.yaml
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}
tar xvf <file>
echo USDPATH
oc <command>
C:\> path
C:\> oc <command>
echo USDPATH
oc <command>
export KUBECONFIG=<installation_directory>/auth/kubeconfig 1
oc whoami
system:admin
oc get nodes
NAME STATUS ROLES AGE VERSION master-0 Ready master 63m v1.28.5 master-1 Ready master 63m v1.28.5 master-2 Ready master 64m v1.28.5
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
oc adm certificate approve <csr_name> 1
oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approve
oc get csr
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
oc adm certificate approve <csr_name> 1
oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve
oc get nodes
NAME STATUS ROLES AGE VERSION master-0 Ready master 73m v1.28.5 master-1 Ready master 73m v1.28.5 master-2 Ready master 74m v1.28.5 worker-0 Ready worker 11m v1.28.5 worker-1 Ready worker 11m v1.28.5
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
export ROUTER_IP=`oc -n openshift-ingress get service router-default --no-headers | awk '{print USD4}'`
if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction add USD{ROUTER_IP} --name \*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{INFRA_ID}-private-zone gcloud dns record-sets transaction execute --zone USD{INFRA_ID}-private-zone
if [ -f transaction.yaml ]; then rm transaction.yaml; fi gcloud dns record-sets transaction start --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction add USD{ROUTER_IP} --name \*.apps.USD{CLUSTER_NAME}.USD{BASE_DOMAIN}. --ttl 300 --type A --zone USD{BASE_DOMAIN_ZONE_NAME} gcloud dns record-sets transaction execute --zone USD{BASE_DOMAIN_ZONE_NAME}
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 prometheus-k8s-openshift-monitoring.apps.your.cluster.domain.example.com
./openshift-install --dir <installation_directory> wait-for install-complete 1
INFO Waiting up to 30m0s for the cluster to initialize
oc get clusterversion
NAME VERSION AVAILABLE PROGRESSING SINCE STATUS version False True 24m Working towards 4.5.4: 99% complete
oc get clusteroperators
NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE authentication 4.5.4 True False False 7m56s cloud-credential 4.5.4 True False False 31m cluster-autoscaler 4.5.4 True False False 16m console 4.5.4 True False False 10m csi-snapshot-controller 4.5.4 True False False 16m dns 4.5.4 True False False 22m etcd 4.5.4 False False False 25s image-registry 4.5.4 True False False 16m ingress 4.5.4 True False False 16m insights 4.5.4 True False False 17m kube-apiserver 4.5.4 True False False 19m kube-controller-manager 4.5.4 True False False 20m kube-scheduler 4.5.4 True False False 20m kube-storage-version-migrator 4.5.4 True False False 16m machine-api 4.5.4 True False False 22m machine-config 4.5.4 True False False 22m marketplace 4.5.4 True False False 16m monitoring 4.5.4 True False False 10m network 4.5.4 True False False 23m node-tuning 4.5.4 True False False 23m openshift-apiserver 4.5.4 True False False 17m openshift-controller-manager 4.5.4 True False False 15m openshift-samples 4.5.4 True False False 16m operator-lifecycle-manager 4.5.4 True False False 22m operator-lifecycle-manager-catalog 4.5.4 True False False 22m operator-lifecycle-manager-packageserver 4.5.4 True False False 18m service-ca 4.5.4 True False False 23m service-catalog-apiserver 4.5.4 True False False 23m service-catalog-controller-manager 4.5.4 True False False 23m storage 4.5.4 True False False 17m
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