Compute Engine API
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Installing a cluster on user-provisioned infrastructure in GCP by using Deployment Manager templates
- Prerequisites
- Certificate signing requests management
- Configuring your GCP project
- Requirements for a cluster with user-provisioned infrastructure
- Creating the installation files for GCP
- Exporting common variables
- Creating a VPC in GCP
- Networking requirements for user-provisioned infrastructure
- Creating load balancers in GCP
- Creating a private DNS zone in GCP
- Creating firewall rules in GCP
- Creating IAM roles in GCP
- Creating the FCOS cluster image for the GCP infrastructure
- Creating the bootstrap machine in GCP
- Creating the control plane machines in GCP
- Wait for bootstrap completion and remove bootstrap resources in GCP
- Creating additional worker machines in GCP
- Installing the OpenShift CLI by downloading the binary
- Logging in to the cluster by using the CLI
- Approving the certificate signing requests for your machines
- Optional: Adding the ingress DNS records
- Completing a GCP installation on user-provisioned infrastructure
- Next steps
In OKD 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.
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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 OKD. Several Deployment Manager templates are provided to assist in completing these steps or to help model your own. You are also free to create the required resources through other methods; the templates are just an example. |
Prerequisites
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You reviewed details about the OKD installation and update processes.
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You read the documentation on selecting a cluster installation method and preparing it for users.
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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.
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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-systemnamespace, you can manually create and maintain long-term credentials.Be sure to also review this site list if you are configuring a proxy.
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.
Configuring your GCP project
Before you can install OKD, you must configure a Google Cloud Platform (GCP) project to host it.
Creating a GCP project
To install OKD, you must create a project in your Google Cloud Platform (GCP) account to host the cluster.
Procedure
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Create a project to host your OKD cluster. See Creating and Managing Projects in the GCP documentation.
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.
Enabling API services in GCP
Your Google Cloud Platform (GCP) project requires access to several API services to complete OKD installation.
Prerequisites
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You created a project to host your cluster.
Procedure
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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 1. Required API services API service Console service name compute.googleapis.comCloud Resource Manager API
cloudresourcemanager.googleapis.comGoogle DNS API
dns.googleapis.comIAM Service Account Credentials API
iamcredentials.googleapis.comIdentity and Access Management (IAM) API
iam.googleapis.comService Usage API
serviceusage.googleapis.comTable 2. Optional API services API service Console service name Cloud Deployment Manager V2 API
deploymentmanager.googleapis.comGoogle Cloud APIs
cloudapis.googleapis.comService Management API
servicemanagement.googleapis.comGoogle Cloud Storage JSON API
storage-api.googleapis.comCloud Storage
storage-component.googleapis.com
Configuring DNS for GCP
To install OKD, the Google Cloud Platform (GCP) account you use must have a dedicated public hosted zone in the same project that you host the OKD 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
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Identify your domain, or subdomain, and registrar. You can transfer an existing domain and registrar or obtain a new one through GCP or another source.
If you purchase a new domain, it can take time for the relevant DNS changes to propagate. For more information about purchasing domains through Google, see Google Domains.
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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 asclusters.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.
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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.
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If you migrated your root domain to Google Cloud DNS, migrate your DNS records. See Migrating to Cloud DNS in the GCP documentation.
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If you use a subdomain, follow your company’s procedures to add its delegation records to the parent domain. This process might include a request to your company’s IT department or the division that controls the root domain and DNS services for your company.
GCP account limits
The OKD cluster uses a number of Google Cloud Platform (GCP) components, but the default Quotas do not affect your ability to install a default OKD 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.
| 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 |
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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:
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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 OKD cluster.
Creating a service account in GCP
OKD 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
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You created a project to host your cluster.
Procedure
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Create a service account in the project that you use to host your OKD cluster. See Creating a service account in the GCP documentation.
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Grant the service account the appropriate permissions. You can either grant the individual permissions that follow or assign the
Ownerrole to it. See Granting roles to a service account for specific resources.While making the service account an owner of the project is the easiest way to gain the required permissions, it means that service account has complete control over the project. You must determine if the risk that comes from offering that power is acceptable.
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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.
If you use a virtual machine with an attached service account to create your cluster, you must set
credentialsMode: Manualin theinstall-config.yamlfile before installation.
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 OKD. 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
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Compute Admin
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Role Administrator
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Security Admin
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Service Account Admin
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Service Account Key Admin
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Service Account User
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Storage Admin
Required roles for creating network resources during installation
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DNS Administrator
Required roles for using the Cloud Credential Operator in passthrough mode
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Compute Load Balancer Admin
Required roles for user-provisioned GCP infrastructure
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Deployment Manager Editor
The following roles are applied to the service accounts that the control plane and compute machines use:
| Account | Roles |
|---|---|
Control Plane |
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Compute |
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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 OKD.
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 OKD cluster.
Required permissions for creating network resources
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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
Required permissions for creating load balancer resources
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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
Required permissions for creating DNS resources
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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
Required permissions for creating Service Account resources
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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
Required permissions for creating compute resources
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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
Required for creating storage resources
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storage.buckets.create -
storage.buckets.delete -
storage.buckets.get -
storage.buckets.list -
storage.objects.create -
storage.objects.delete -
storage.objects.get -
storage.objects.list
Required permissions for creating health check resources
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compute.healthChecks.create -
compute.healthChecks.get -
compute.healthChecks.list -
compute.healthChecks.useReadOnly -
compute.httpHealthChecks.create -
compute.httpHealthChecks.get -
compute.httpHealthChecks.list -
compute.httpHealthChecks.useReadOnly
Required permissions to get GCP zone and region related information
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compute.globalOperations.get -
compute.regionOperations.get -
compute.regions.list -
compute.zoneOperations.get -
compute.zones.get -
compute.zones.list
Required permissions for checking services and quotas
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monitoring.timeSeries.list -
serviceusage.quotas.get -
serviceusage.services.list
Required IAM permissions for installation
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iam.roles.get
Required permissions when authenticating without a service account key
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iam.serviceAccounts.signBlob
Required Images permissions for installation
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compute.images.create -
compute.images.delete -
compute.images.get -
compute.images.list
Optional permission for running gather bootstrap
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compute.instances.getSerialPortOutput
Required permissions for deleting network resources
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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
Required permissions for deleting load balancer resources
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compute.regionBackendServices.delete -
compute.regionBackendServices.list -
compute.targetPools.delete -
compute.targetPools.list
Required permissions for deleting DNS resources
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dns.changes.create -
dns.managedZones.delete -
dns.managedZones.get -
dns.managedZones.list -
dns.resourceRecordSets.delete -
dns.resourceRecordSets.list
Required permissions for deleting Service Account resources
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iam.serviceAccounts.delete -
iam.serviceAccounts.get -
iam.serviceAccounts.list -
resourcemanager.projects.getIamPolicy -
resourcemanager.projects.setIamPolicy
Required permissions for deleting compute resources
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compute.disks.delete -
compute.disks.list -
compute.instanceGroups.delete -
compute.instanceGroups.list -
compute.instances.delete -
compute.instances.list -
compute.instances.stop -
compute.machineTypes.list
Required for deleting storage resources
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storage.buckets.delete -
storage.buckets.getIamPolicy -
storage.buckets.list -
storage.objects.delete -
storage.objects.list
Required permissions for deleting health check resources
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compute.healthChecks.delete -
compute.healthChecks.list -
compute.httpHealthChecks.delete -
compute.httpHealthChecks.list
Required Images permissions for deletion
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compute.images.delete -
compute.images.list
Required permissions to get Region related information
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compute.regions.get
Required Deployment Manager permissions
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deploymentmanager.deployments.create -
deploymentmanager.deployments.delete -
deploymentmanager.deployments.get -
deploymentmanager.deployments.list -
deploymentmanager.manifests.get -
deploymentmanager.operations.get -
deploymentmanager.resources.list
Additional resources
Supported GCP regions
You can deploy an OKD cluster to the following Google Cloud Platform (GCP) regions:
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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(Zürich, 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(Montréal, Québec, Canada) -
northamerica-northeast2(Toronto, Ontario, Canada) -
southamerica-east1(São 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)
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To determine which machine type instances are available by region and zone, see the Google documentation. |
Installing and configuring CLI tools for GCP
To install OKD on Google Cloud Platform (GCP) using user-provisioned infrastructure, you must install and configure the CLI tools for GCP.
Prerequisites
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You created a project to host your cluster.
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You created a service account and granted it the required permissions.
Procedure
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Install the following binaries in
$PATH:-
gcloud -
gsutil
See Install the latest Cloud SDK version in the GCP documentation.
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Authenticate using the
gcloudtool with your configured service account.See Authorizing with a service account in the GCP documentation.
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 OKD on user-provisioned infrastructure.
Required machines for cluster installation
The smallest OKD clusters require the following hosts:
| Hosts | Description |
|---|---|
One temporary bootstrap machine |
The cluster requires the bootstrap machine to deploy the OKD 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 OKD services that form the control plane. |
At least two compute machines, which are also known as worker machines. |
The workloads requested by OKD users run on the compute machines. |
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To maintain high availability of your cluster, use separate physical hosts for these cluster machines. |
The bootstrap and control plane machines must use Fedora CoreOS (FCOS) as the operating system. However, the compute machines can choose between Fedora CoreOS (FCOS), Fedora 8.6 and later.
Minimum resource requirements for cluster installation
Each cluster machine must meet the following minimum requirements:
| Machine | Operating System | vCPU [1] | Virtual RAM | Storage | Input/Output Per Second (IOPS)[2] |
|---|---|---|---|---|---|
Bootstrap |
FCOS |
4 |
16 GB |
100 GB |
300 |
Control plane |
FCOS |
4 |
16 GB |
100 GB |
300 |
Compute |
FCOS |
2 |
8 GB |
100 GB |
300 |
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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 × cores) × sockets = vCPUs.
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OKD 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.
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As with all user-provisioned installations, if you choose to use Fedora 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 Fedora 7 compute machines is deprecated and has been removed in OKD 4.10 and later.
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As of OKD 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:
For more information, see RHEL Architectures. |
If an instance type for your platform meets the minimum requirements for cluster machines, it is supported to use in OKD.
Additional resources
Tested instance types for GCP
The following Google Cloud Platform instance types have been tested with OKD.
Machine series
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C2 -
C2D -
C3 -
E2 -
M1 -
N1 -
N2 -
N2D -
Tau T2D
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 OKD.
Machine series for 64-bit ARM machines
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Tau T2A
Using custom machine types
Using a custom machine type to install a OKD cluster is supported.
Consider the following when using a custom machine type:
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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".
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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.
Creating the installation files for GCP
To install OKD 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.
Optional: Creating a separate /var partition
It is recommended that disk partitioning for OKD 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.
OKD 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 OKD 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 Fedora CoreOS (FCOS), 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 OKD installation.
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If you follow the steps to create a separate |
Procedure
-
Create a directory to hold the OKD installation files:
$ mkdir $HOME/clusterconfig -
Run
openshift-installto create a set of files in themanifestandopenshiftsubdirectories. Answer the system questions as you are prompted:$ openshift-install create manifests --dir $HOME/clusterconfigExample 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: $HOME/clusterconfig/manifests and $HOME/clusterconfig/openshift -
Optional: Confirm that the installation program created manifests in the
clusterconfig/openshiftdirectory:$ ls $HOME/clusterconfig/openshift/Example output99_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
$HOME/clusterconfig/98-var-partition.bu, change the disk device name to the name of the storage device on theworkersystems, and set the storage size as appropriate. This example places the/vardirectory on a separate partition:variant: openshift version: 4.15.0 metadata: labels: machineconfiguration.openshift.io/role: worker name: 98-var-partition storage: disks: - device: /dev/disk/by-id/<device_name> (1) partitions: - label: var start_mib: <partition_start_offset> (2) size_mib: <partition_size> (3) number: 5 filesystems: - device: /dev/disk/by-partlabel/var path: /var format: xfs mount_options: [defaults, prjquota] (4) with_mount_unit: true1 The storage device name of the disk that you want to partition. 2 When adding a data partition to the boot disk, a minimum value of 25000 MiB (Mebibytes) is recommended. The root file system is automatically resized to fill all available space up to the specified offset. If no value is specified, or if the specified value is smaller than the recommended minimum, the resulting root file system will be too small, and future reinstalls of FCOS might overwrite the beginning of the data partition. 3 The size of the data partition in mebibytes. 4 The prjquotamount option must be enabled for filesystems used for container storage.When creating a separate
/varpartition, you cannot use different instance types for worker nodes, if the different instance types do not have the same device name. -
Create a manifest from the Butane config and save it to the
clusterconfig/openshiftdirectory. For example, run the following command:$ butane $HOME/clusterconfig/98-var-partition.bu -o $HOME/clusterconfig/openshift/98-var-partition.yaml -
Run
openshift-installagain to create Ignition configs from a set of files in themanifestandopenshiftsubdirectories:$ openshift-install create ignition-configs --dir $HOME/clusterconfig $ ls $HOME/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 Fedora CoreOS (FCOS) systems.
Creating the installation configuration file
You can customize the OKD cluster you install on Google Cloud Platform (GCP).
Prerequisites
-
You have the OKD installation program and the pull secret for your cluster.
Procedure
-
Create the
install-config.yamlfile.-
Change to the directory that contains the installation program and run the following command:
$ ./openshift-install create install-config --dir <installation_directory> (1)1 For <installation_directory>, specify the directory name to store the files that the installation program creates.When specifying the directory:
-
Verify that the directory has the
executepermission. 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 OKD version.
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-
At the prompts, provide the configuration details for your cloud:
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Optional: Select an SSH key to use to access your cluster machines.
For production OKD clusters on which you want to perform installation debugging or disaster recovery, specify an SSH key that your
ssh-agentprocess 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.
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Select the project ID to provision the cluster in. The default value is specified by the service account that you configured.
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Select the region to deploy the cluster to.
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Select the base domain to deploy the cluster to. The base domain corresponds to the public DNS zone that you created for your cluster.
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Enter a descriptive name for your cluster.
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-
-
Modify the
install-config.yamlfile. You can find more information about the available parameters in the "Installation configuration parameters" section.If you are installing a three-node cluster, be sure to set the
compute.replicasparameter to0. 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.yamlfile so that you can use it to install multiple clusters.The
install-config.yamlfile is consumed during the installation process. If you want to reuse the file, you must back it up now.
Additional resources
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.
|
Shielded VMs are currently not supported on clusters with 64-bit ARM infrastructures. |
Prerequisites
-
You have created an
install-config.yamlfile.
Procedure
-
Use a text editor to edit the
install-config.yamlfile 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
-
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.
|
Confidential VMs are currently not supported on 64-bit ARM architectures. |
Prerequisites
-
You have created an
install-config.yamlfile.
Procedure
-
Use a text editor to edit the
install-config.yamlfile 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
-
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 OKD
cluster to use a proxy by configuring the proxy settings in the
install-config.yaml file.
Prerequisites
-
You have an existing
install-config.yamlfile. -
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
Proxyobject’sspec.noProxyfield to bypass the proxy if necessary.The
Proxyobjectstatus.noProxyfield is populated with the values of thenetworking.machineNetwork[].cidr,networking.clusterNetwork[].cidr, andnetworking.serviceNetwork[]fields from your installation configuration.For installations on Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and OpenStack, the
Proxyobjectstatus.noProxyfield is also populated with the instance metadata endpoint (169.254.169.254).
Procedure
-
Edit your
install-config.yamlfile 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.commatchesx.y.com, but noty.com. Use*to bypass the proxy for all destinations.4 If provided, the installation program generates a config map that is named user-ca-bundlein theopenshift-confignamespace that contains one or more additional CA certificates that are required for proxying HTTPS connections. The Cluster Network Operator then creates atrusted-ca-bundleconfig map that merges these contents with the Fedora CoreOS (FCOS) trust bundle, and this config map is referenced in thetrustedCAfield of theProxyobject. TheadditionalTrustBundlefield is required unless the proxy’s identity certificate is signed by an authority from the FCOS trust bundle.5 Optional: The policy to determine the configuration of the Proxyobject to reference theuser-ca-bundleconfig map in thetrustedCAfield. The allowed values areProxyonlyandAlways. UseProxyonlyto reference theuser-ca-bundleconfig map only whenhttp/httpsproxy is configured. UseAlwaysto always reference theuser-ca-bundleconfig map. The default value isProxyonly.The installation program does not support the proxy
readinessEndpointsfield.If the installer times out, restart and then complete the deployment by using the
wait-forcommand of the installer. For example:$ ./openshift-install wait-for install-complete --log-level debug -
Save the file and reference it when installing OKD.
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.
|
Only the |
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.
|
Prerequisites
-
You obtained the OKD installation program.
-
You created the
install-config.yamlinstallation configuration file.
Procedure
-
Change to the directory that contains the OKD installation program and generate the Kubernetes manifests for the cluster:
$ ./openshift-install create manifests --dir <installation_directory> (1)1 For <installation_directory>, specify the installation directory that contains theinstall-config.yamlfile you created. -
Remove the Kubernetes manifest files that define the control plane machines:
$ rm -f <installation_directory>/openshift/99_openshift-cluster-api_master-machines-*.yamlBy 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:
$ 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:
$ rm -f <installation_directory>/openshift/99_openshift-cluster-api_worker-machineset-*.yamlIf you disabled the
MachineAPIcapability 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.
If you are installing a three-node cluster, skip the following step to allow the control plane nodes to be schedulable.
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
mastersSchedulableparameter in the<installation_directory>/manifests/cluster-scheduler-02-config.ymlKubernetes manifest file is set tofalse. This setting prevents pods from being scheduled on the control plane machines:-
Open the
<installation_directory>/manifests/cluster-scheduler-02-config.ymlfile. -
Locate the
mastersSchedulableparameter and ensure that it is set tofalse. -
Save and exit the file.
-
-
Optional: If you do not want the Ingress Operator to create DNS records on your behalf, remove the
privateZoneandpublicZonesections from the<installation_directory>/manifests/cluster-dns-02-config.ymlDNS configuration file:apiVersion: config.openshift.io/v1 kind: DNS metadata: creationTimestamp: null name: cluster spec: baseDomain: example.openshift.com privateZone: (1) id: mycluster-100419-private-zone publicZone: (1) id: example.openshift.com status: {}1 Remove 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:
$ ./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-passwordandkubeconfigfiles are created in the./<installation_directory>/authdirectory:. ├── auth │ ├── kubeadmin-password │ └── kubeconfig ├── bootstrap.ign ├── master.ign ├── metadata.json └── worker.ign
Additional resources
Exporting common variables
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 OKD installation. The provided Deployment Manager templates contain references to this infrastructure name, so you must extract it.
Prerequisites
-
You obtained the OKD installation program and the pull secret for your cluster.
-
You generated the Ignition config files for your cluster.
-
You installed the
jqpackage.
Procedure
-
To extract and view the infrastructure name from the Ignition config file metadata, run the following command:
$ jq -r .infraID <installation_directory>/metadata.json (1)1 For <installation_directory>, specify the path to the directory that you stored the installation files in.Example outputopenshift-vw9j6 (1)1 The output of this command is your cluster name and a random string.
Exporting common variables for Deployment Manager templates
You must export a common set of variables that are used with the provided Deployment Manager templates used to assist in completing a user-provided infrastructure install on Google Cloud Platform (GCP).
|
Specific Deployment Manager templates can also require additional exported variables, which are detailed in their related procedures. |
Prerequisites
-
Obtain the OKD installation program and the pull secret for your cluster.
-
Generate the Ignition config files for your cluster.
-
Install the
jqpackage.
Procedure
-
Export the following common variables to be used by the provided Deployment Manager templates:
$ export BASE_DOMAIN='<base_domain>' $ export BASE_DOMAIN_ZONE_NAME='<base_domain_zone_name>' $ export NETWORK_CIDR='10.0.0.0/16' $ export MASTER_SUBNET_CIDR='10.0.0.0/17' $ 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`1 For <installation_directory>, specify the path to the directory that you stored the installation files in.
Creating a VPC in GCP
You must create a VPC in Google Cloud Platform (GCP) for your OKD cluster to use. You can customize the VPC to meet your requirements. One way to create the VPC is to modify the provided Deployment Manager template.
|
If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. |
Prerequisites
-
Configure a GCP account.
-
Generate the Ignition config files for your cluster.
Procedure
-
Copy the template from the Deployment Manager template for the VPC section of this topic and save it as
01_vpc.pyon your computer. This template describes the VPC that your cluster requires. -
Create a
01_vpc.yamlresource definition file:$ cat <<EOF >01_vpc.yaml imports: - path: 01_vpc.py resources: - name: cluster-vpc type: 01_vpc.py properties: infra_id: '${INFRA_ID}' (1) region: '${REGION}' (2) master_subnet_cidr: '${MASTER_SUBNET_CIDR}' (3) worker_subnet_cidr: '${WORKER_SUBNET_CIDR}' (4) EOF1 infra_idis theINFRA_IDinfrastructure name from the extraction step.2 regionis the region to deploy the cluster into, for exampleus-central1.3 master_subnet_cidris the CIDR for the master subnet, for example10.0.0.0/17.4 worker_subnet_cidris the CIDR for the worker subnet, for example10.0.128.0/17. -
Create the deployment by using the
gcloudCLI:$ gcloud deployment-manager deployments create ${INFRA_ID}-vpc --config 01_vpc.yaml
Deployment Manager template for the VPC
You can use the following Deployment Manager template to deploy the VPC that you need for your OKD cluster:
01_vpc.py Deployment Manager template
def GenerateConfig(context):
resources = [{
'name': context.properties['infra_id'] + '-network',
'type': 'compute.v1.network',
'properties': {
'region': context.properties['region'],
'autoCreateSubnetworks': False
}
}, {
'name': context.properties['infra_id'] + '-master-subnet',
'type': 'compute.v1.subnetwork',
'properties': {
'region': context.properties['region'],
'network': '$(ref.' + context.properties['infra_id'] + '-network.selfLink)',
'ipCidrRange': context.properties['master_subnet_cidr']
}
}, {
'name': context.properties['infra_id'] + '-worker-subnet',
'type': 'compute.v1.subnetwork',
'properties': {
'region': context.properties['region'],
'network': '$(ref.' + context.properties['infra_id'] + '-network.selfLink)',
'ipCidrRange': context.properties['worker_subnet_cidr']
}
}, {
'name': context.properties['infra_id'] + '-router',
'type': 'compute.v1.router',
'properties': {
'region': context.properties['region'],
'network': '$(ref.' + context.properties['infra_id'] + '-network.selfLink)',
'nats': [{
'name': context.properties['infra_id'] + '-nat-master',
'natIpAllocateOption': 'AUTO_ONLY',
'minPortsPerVm': 7168,
'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS',
'subnetworks': [{
'name': '$(ref.' + context.properties['infra_id'] + '-master-subnet.selfLink)',
'sourceIpRangesToNat': ['ALL_IP_RANGES']
}]
}, {
'name': context.properties['infra_id'] + '-nat-worker',
'natIpAllocateOption': 'AUTO_ONLY',
'minPortsPerVm': 512,
'sourceSubnetworkIpRangesToNat': 'LIST_OF_SUBNETWORKS',
'subnetworks': [{
'name': '$(ref.' + context.properties['infra_id'] + '-worker-subnet.selfLink)',
'sourceIpRangesToNat': ['ALL_IP_RANGES']
}]
}]
}
}]
return {'resources': resources}Networking requirements for user-provisioned infrastructure
All the Fedora CoreOS (FCOS) machines require networking to be configured in initramfs during boot
to fetch their Ignition config files.
Setting the cluster node hostnames through DHCP
On Fedora CoreOS (FCOS) 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.
Network connectivity requirements
You must configure the network connectivity between machines to allow OKD 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.
|
In connected OKD environments, all nodes are required to have internet access to pull images for platform containers and provide telemetry data to Red Hat. |
| Protocol | Port | Description |
|---|---|---|
ICMP |
N/A |
Network reachability tests |
TCP |
|
Metrics |
|
Host level services, including the node exporter on ports |
|
|
The default ports that Kubernetes reserves |
|
UDP |
|
VXLAN |
|
Geneve |
|
|
Host level services, including the node exporter on ports |
|
|
IPsec IKE packets |
|
|
IPsec NAT-T packets |
|
|
Network Time Protocol (NTP) on UDP port If an external NTP time server is configured, you must open UDP port |
|
TCP/UDP |
|
Kubernetes node port |
ESP |
N/A |
IPsec Encapsulating Security Payload (ESP) |
| Protocol | Port | Description |
|---|---|---|
TCP |
|
Kubernetes API |
| Protocol | Port | Description |
|---|---|---|
TCP |
|
etcd server and peer ports |
Creating load balancers in GCP
You must configure load balancers in Google Cloud Platform (GCP) for your OKD cluster to use. One way to create these components is to modify the provided Deployment Manager template.
|
If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. |
Prerequisites
-
Configure a GCP account.
-
Generate the Ignition config files for your cluster.
-
Create and configure a VPC and associated subnets in GCP.
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.pyon 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.pyon 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:
$ export CLUSTER_NETWORK=(`gcloud compute networks describe ${INFRA_ID}-network --format json | jq -r .selfLink`) -
Export the control plane subnet location:
$ export CONTROL_SUBNET=(`gcloud compute networks subnets describe ${INFRA_ID}-master-subnet --region=${REGION} --format json | jq -r .selfLink`) -
Export the three zones that the cluster uses:
$ export ZONE_0=(`gcloud compute regions describe ${REGION} --format=json | jq -r .zones[0] | cut -d "/" -f9`)$ export ZONE_1=(`gcloud compute regions describe ${REGION} --format=json | jq -r .zones[1] | cut -d "/" -f9`)$ export ZONE_2=(`gcloud compute regions describe ${REGION} --format=json | jq -r .zones[2] | cut -d "/" -f9`)
-
-
Create a
02_infra.yamlresource definition file:$ cat <<EOF >02_infra.yaml imports: - path: 02_lb_ext.py - path: 02_lb_int.py (1) resources: - name: cluster-lb-ext (1) type: 02_lb_ext.py properties: infra_id: '${INFRA_ID}' (2) region: '${REGION}' (3) - name: cluster-lb-int type: 02_lb_int.py properties: cluster_network: '${CLUSTER_NETWORK}' control_subnet: '${CONTROL_SUBNET}' (4) infra_id: '${INFRA_ID}' region: '${REGION}' zones: (5) - '${ZONE_0}' - '${ZONE_1}' - '${ZONE_2}' EOF1 Required only when deploying an external cluster. 2 infra_idis theINFRA_IDinfrastructure name from the extraction step.3 regionis the region to deploy the cluster into, for exampleus-central1.4 control_subnetis the URI to the control subnet.5 zonesare the zones to deploy the control plane instances into, likeus-east1-b,us-east1-c, andus-east1-d. -
Create the deployment by using the
gcloudCLI:$ gcloud deployment-manager deployments create ${INFRA_ID}-infra --config 02_infra.yaml -
Export the cluster IP address:
$ export CLUSTER_IP=(`gcloud compute addresses describe ${INFRA_ID}-cluster-ip --region=${REGION} --format json | jq -r .address`) -
For an external cluster, also export the cluster public IP address:
$ export CLUSTER_PUBLIC_IP=(`gcloud compute addresses describe ${INFRA_ID}-cluster-public-ip --region=${REGION} --format json | jq -r .address`)
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 OKD cluster:
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': ['$(ref.' + context.properties['infra_id'] + '-api-http-health-check.selfLink)'],
'instances': []
}
}, {
'name': context.properties['infra_id'] + '-api-forwarding-rule',
'type': 'compute.v1.forwardingRule',
'properties': {
'region': context.properties['region'],
'IPAddress': '$(ref.' + context.properties['infra_id'] + '-cluster-public-ip.selfLink)',
'target': '$(ref.' + context.properties['infra_id'] + '-api-target-pool.selfLink)',
'portRange': '6443'
}
}]
return {'resources': resources}Deployment Manager template for the internal load balancer
You can use the following Deployment Manager template to deploy the internal load balancer that you need for your OKD cluster:
02_lb_int.py Deployment Manager template
def GenerateConfig(context):
backends = []
for zone in context.properties['zones']:
backends.append({
'group': '$(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': ['$(ref.' + context.properties['infra_id'] + '-api-internal-health-check.selfLink)'],
'loadBalancingScheme': 'INTERNAL',
'region': context.properties['region'],
'protocol': 'TCP',
'timeoutSec': 120
}
}, {
'name': context.properties['infra_id'] + '-api-internal-forwarding-rule',
'type': 'compute.v1.forwardingRule',
'properties': {
'backendService': '$(ref.' + context.properties['infra_id'] + '-api-internal-backend-service.selfLink)',
'IPAddress': '$(ref.' + context.properties['infra_id'] + '-cluster-ip.selfLink)',
'loadBalancingScheme': 'INTERNAL',
'ports': ['6443','22623'],
'region': context.properties['region'],
'subnetwork': context.properties['control_subnet']
}
}]
for zone in context.properties['zones']:
resources.append({
'name': context.properties['infra_id'] + '-master-' + zone + '-ig',
'type': 'compute.v1.instanceGroup',
'properties': {
'namedPorts': [
{
'name': 'ignition',
'port': 22623
}, {
'name': 'https',
'port': 6443
}
],
'network': context.properties['cluster_network'],
'zone': zone
}
})
return {'resources': resources}You will need this template in addition to the 02_lb_ext.py template when you create an external cluster.
Creating a private DNS zone in GCP
You must configure a private DNS zone in Google Cloud Platform (GCP) for your OKD cluster to use. One way to create this component is to modify the provided Deployment Manager template.
|
If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. |
Prerequisites
-
Configure a GCP account.
-
Generate the Ignition config files for your cluster.
-
Create and configure a VPC and associated subnets in GCP.
Procedure
-
Copy the template from the Deployment Manager template for the private DNS section of this topic and save it as
02_dns.pyon your computer. This template describes the private DNS objects that your cluster requires. -
Create a
02_dns.yamlresource definition file:$ cat <<EOF >02_dns.yaml imports: - path: 02_dns.py resources: - name: cluster-dns type: 02_dns.py properties: infra_id: '${INFRA_ID}' (1) cluster_domain: '${CLUSTER_NAME}.${BASE_DOMAIN}' (2) cluster_network: '${CLUSTER_NETWORK}' (3) EOF1 infra_idis theINFRA_IDinfrastructure name from the extraction step.2 cluster_domainis the domain for the cluster, for exampleopenshift.example.com.3 cluster_networkis theselfLinkURL to the cluster network. -
Create the deployment by using the
gcloudCLI:$ gcloud deployment-manager deployments create ${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:
$ if [ -f transaction.yaml ]; then rm transaction.yaml; fi $ gcloud dns record-sets transaction start --zone ${INFRA_ID}-private-zone $ gcloud dns record-sets transaction add ${CLUSTER_IP} --name api.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 60 --type A --zone ${INFRA_ID}-private-zone $ gcloud dns record-sets transaction add ${CLUSTER_IP} --name api-int.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 60 --type A --zone ${INFRA_ID}-private-zone $ gcloud dns record-sets transaction execute --zone ${INFRA_ID}-private-zone -
For an external cluster, also add the external DNS entries:
$ if [ -f transaction.yaml ]; then rm transaction.yaml; fi $ gcloud dns record-sets transaction start --zone ${BASE_DOMAIN_ZONE_NAME} $ gcloud dns record-sets transaction add ${CLUSTER_PUBLIC_IP} --name api.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 60 --type A --zone ${BASE_DOMAIN_ZONE_NAME} $ gcloud dns record-sets transaction execute --zone ${BASE_DOMAIN_ZONE_NAME}
-
Deployment Manager template for the private DNS
You can use the following Deployment Manager template to deploy the private DNS that you need for your OKD cluster:
02_dns.py Deployment Manager template
def GenerateConfig(context):
resources = [{
'name': context.properties['infra_id'] + '-private-zone',
'type': 'dns.v1.managedZone',
'properties': {
'description': '',
'dnsName': context.properties['cluster_domain'] + '.',
'visibility': 'private',
'privateVisibilityConfig': {
'networks': [{
'networkUrl': context.properties['cluster_network']
}]
}
}
}]
return {'resources': resources}Creating firewall rules in GCP
You must create firewall rules in Google Cloud Platform (GCP) for your OKD cluster to use. One way to create these components is to modify the provided Deployment Manager template.
|
If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. |
Prerequisites
-
Configure a GCP account.
-
Generate the Ignition config files for your cluster.
-
Create and configure a VPC and associated subnets in GCP.
Procedure
-
Copy the template from the Deployment Manager template for firewall rules section of this topic and save it as
03_firewall.pyon your computer. This template describes the security groups that your cluster requires. -
Create a
03_firewall.yamlresource definition file:$ 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: '${INFRA_ID}' (2) cluster_network: '${CLUSTER_NETWORK}' (3) network_cidr: '${NETWORK_CIDR}' (4) EOF1 allowed_external_cidris the CIDR range that can access the cluster API and SSH to the bootstrap host. For an internal cluster, set this value to${NETWORK_CIDR}.2 infra_idis theINFRA_IDinfrastructure name from the extraction step.3 cluster_networkis theselfLinkURL to the cluster network.4 network_cidris the CIDR of the VPC network, for example10.0.0.0/16. -
Create the deployment by using the
gcloudCLI:$ gcloud deployment-manager deployments create ${INFRA_ID}-firewall --config 03_firewall.yaml
Deployment Manager template for firewall rules
You can use the following Deployment Manager template to deploy the firewall rues that you need for your OKD cluster:
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}Creating IAM roles in GCP
You must create IAM roles in Google Cloud Platform (GCP) for your OKD cluster to use. One way to create these components is to modify the provided Deployment Manager template.
|
If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. |
Prerequisites
-
Configure a GCP account.
-
Generate the Ignition config files for your cluster.
-
Create and configure a VPC and associated subnets in GCP.
Procedure
-
Copy the template from the Deployment Manager template for IAM roles section of this topic and save it as
03_iam.pyon your computer. This template describes the IAM roles that your cluster requires. -
Create a
03_iam.yamlresource definition file:$ cat <<EOF >03_iam.yaml imports: - path: 03_iam.py resources: - name: cluster-iam type: 03_iam.py properties: infra_id: '${INFRA_ID}' (1) EOF1 infra_idis theINFRA_IDinfrastructure name from the extraction step. -
Create the deployment by using the
gcloudCLI:$ gcloud deployment-manager deployments create ${INFRA_ID}-iam --config 03_iam.yaml -
Export the variable for the master service account:
$ export MASTER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^${INFRA_ID}-m@${PROJECT_NAME}." --format json | jq -r '.[0].email'`) -
Export the variable for the worker service account:
$ export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^${INFRA_ID}-w@${PROJECT_NAME}." --format json | jq -r '.[0].email'`) -
Export the variable for the subnet that hosts the compute machines:
$ export COMPUTE_SUBNET=(`gcloud compute networks subnets describe ${INFRA_ID}-worker-subnet --region=${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:
$ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${MASTER_SERVICE_ACCOUNT}" --role "roles/compute.instanceAdmin" $ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${MASTER_SERVICE_ACCOUNT}" --role "roles/compute.networkAdmin" $ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${MASTER_SERVICE_ACCOUNT}" --role "roles/compute.securityAdmin" $ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${MASTER_SERVICE_ACCOUNT}" --role "roles/iam.serviceAccountUser" $ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${MASTER_SERVICE_ACCOUNT}" --role "roles/storage.admin" $ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${WORKER_SERVICE_ACCOUNT}" --role "roles/compute.viewer" $ gcloud projects add-iam-policy-binding ${PROJECT_NAME} --member "serviceAccount:${WORKER_SERVICE_ACCOUNT}" --role "roles/storage.admin" -
Create a service account key and store it locally for later use:
$ gcloud iam service-accounts keys create service-account-key.json --iam-account=${MASTER_SERVICE_ACCOUNT}
Deployment Manager template for IAM roles
You can use the following Deployment Manager template to deploy the IAM roles that you need for your OKD cluster:
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}Creating the FCOS cluster image for the GCP infrastructure
You must use a valid Fedora CoreOS (FCOS) image for Google Cloud Platform (GCP) for your OKD nodes.
Procedure
-
Obtain the FCOS image from the FCOS Downloads page
-
Create the Google storage bucket:
$ gsutil mb gs://<bucket_name> -
Upload the FCOS image to the Google storage bucket:
$ gsutil cp <downloaded_image_file_path>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz gs://<bucket_name> -
Export the uploaded FCOS image location as a variable:
$ export IMAGE_SOURCE=gs://<bucket_name>/rhcos-<version>-x86_64-gcp.x86_64.tar.gz -
Create the cluster image:
$ gcloud compute images create "${INFRA_ID}-rhcos-image" \ --source-uri="${IMAGE_SOURCE}"
Creating the bootstrap machine in GCP
You must create the bootstrap machine in Google Cloud Platform (GCP) to use during OKD cluster initialization. One way to create this machine is to modify the provided Deployment Manager template.
|
If you do not use the provided Deployment Manager template to create your bootstrap machine, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. |
Prerequisites
-
Configure a GCP account.
-
Generate the Ignition config files for your cluster.
-
Create and configure a VPC and associated subnets in GCP.
-
Create and configure networking and load balancers in GCP.
-
Create control plane and compute roles.
-
Ensure pyOpenSSL is installed.
Procedure
-
Copy the template from the Deployment Manager template for the bootstrap machine section of this topic and save it as
04_bootstrap.pyon your computer. This template describes the bootstrap machine that your cluster requires. -
Export the location of the Fedora CoreOS (FCOS) image that the installation program requires:
$ export CLUSTER_IMAGE=(`gcloud compute images describe ${INFRA_ID}-rhcos-image --format json | jq -r .selfLink`) -
Create a bucket and upload the
bootstrap.ignfile:$ gsutil mb gs://${INFRA_ID}-bootstrap-ignition$ gsutil cp <installation_directory>/bootstrap.ign gs://${INFRA_ID}-bootstrap-ignition/ -
Create a signed URL for the bootstrap instance to use to access the Ignition config. Export the URL from the output as a variable:
$ export BOOTSTRAP_IGN=`gsutil signurl -d 1h service-account-key.json gs://${INFRA_ID}-bootstrap-ignition/bootstrap.ign | grep "^gs:" | awk '{print $5}'` -
Create a
04_bootstrap.yamlresource definition file:$ cat <<EOF >04_bootstrap.yaml imports: - path: 04_bootstrap.py resources: - name: cluster-bootstrap type: 04_bootstrap.py properties: infra_id: '${INFRA_ID}' (1) region: '${REGION}' (2) zone: '${ZONE_0}' (3) cluster_network: '${CLUSTER_NETWORK}' (4) control_subnet: '${CONTROL_SUBNET}' (5) image: '${CLUSTER_IMAGE}' (6) machine_type: 'n1-standard-4' (7) root_volume_size: '128' (8) bootstrap_ign: '${BOOTSTRAP_IGN}' (9) EOF1 infra_idis theINFRA_IDinfrastructure name from the extraction step.2 regionis the region to deploy the cluster into, for exampleus-central1.3 zoneis the zone to deploy the bootstrap instance into, for exampleus-central1-b.4 cluster_networkis theselfLinkURL to the cluster network.5 control_subnetis theselfLinkURL to the control subnet.6 imageis theselfLinkURL to the FCOS image.7 machine_typeis the machine type of the instance, for examplen1-standard-4.8 root_volume_sizeis the boot disk size for the bootstrap machine.9 bootstrap_ignis the URL output when creating a signed URL. -
Create the deployment by using the
gcloudCLI:$ gcloud deployment-manager deployments create ${INFRA_ID}-bootstrap --config 04_bootstrap.yaml -
The templates do not manage load balancer membership due to limitations of Deployment Manager, so you must add the bootstrap machine manually.
-
Add the bootstrap instance to the internal load balancer instance group:
$ gcloud compute instance-groups unmanaged add-instances \ ${INFRA_ID}-bootstrap-ig --zone=${ZONE_0} --instances=${INFRA_ID}-bootstrap -
Add the bootstrap instance group to the internal load balancer backend service:
$ gcloud compute backend-services add-backend \ ${INFRA_ID}-api-internal-backend-service --region=${REGION} --instance-group=${INFRA_ID}-bootstrap-ig --instance-group-zone=${ZONE_0}
-
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 OKD cluster:
04_bootstrap.py Deployment Manager template
def GenerateConfig(context):
resources = [{
'name': context.properties['infra_id'] + '-bootstrap-public-ip',
'type': 'compute.v1.address',
'properties': {
'region': context.properties['region']
}
}, {
'name': context.properties['infra_id'] + '-bootstrap',
'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': '$(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}Creating the control plane machines in GCP
You must create the control plane machines in Google Cloud Platform (GCP) for your cluster to use. One way to create these machines is to modify the provided Deployment Manager template.
|
If you do not use the provided Deployment Manager template to create your control plane machines, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. |
Prerequisites
-
Configure a GCP account.
-
Generate the Ignition config files for your cluster.
-
Create and configure a VPC and associated subnets in GCP.
-
Create and configure networking and load balancers in GCP.
-
Create control plane and compute roles.
-
Create the bootstrap machine.
Procedure
-
Copy the template from the Deployment Manager template for control plane machines section of this topic and save it as
05_control_plane.pyon your computer. This template describes the control plane machines that your cluster requires. -
Export the following variable required by the resource definition:
$ export MASTER_IGNITION=`cat <installation_directory>/master.ign` -
Create a
05_control_plane.yamlresource definition file:$ cat <<EOF >05_control_plane.yaml imports: - path: 05_control_plane.py resources: - name: cluster-control-plane type: 05_control_plane.py properties: infra_id: '${INFRA_ID}' (1) zones: (2) - '${ZONE_0}' - '${ZONE_1}' - '${ZONE_2}' control_subnet: '${CONTROL_SUBNET}' (3) image: '${CLUSTER_IMAGE}' (4) machine_type: 'n1-standard-4' (5) root_volume_size: '128' service_account_email: '${MASTER_SERVICE_ACCOUNT}' (6) ignition: '${MASTER_IGNITION}' (7) EOF1 infra_idis theINFRA_IDinfrastructure name from the extraction step.2 zonesare the zones to deploy the control plane instances into, for exampleus-central1-a,us-central1-b, andus-central1-c.3 control_subnetis theselfLinkURL to the control subnet.4 imageis theselfLinkURL to the FCOS image.5 machine_typeis the machine type of the instance, for examplen1-standard-4.6 service_account_emailis the email address for the master service account that you created.7 ignitionis the contents of themaster.ignfile. -
Create the deployment by using the
gcloudCLI:$ gcloud deployment-manager deployments create ${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:
$ gcloud compute instance-groups unmanaged add-instances ${INFRA_ID}-master-${ZONE_0}-ig --zone=${ZONE_0} --instances=${INFRA_ID}-master-0$ gcloud compute instance-groups unmanaged add-instances ${INFRA_ID}-master-${ZONE_1}-ig --zone=${ZONE_1} --instances=${INFRA_ID}-master-1$ gcloud compute instance-groups unmanaged add-instances ${INFRA_ID}-master-${ZONE_2}-ig --zone=${ZONE_2} --instances=${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:
$ gcloud compute target-pools add-instances ${INFRA_ID}-api-target-pool --instances-zone="${ZONE_0}" --instances=${INFRA_ID}-master-0$ gcloud compute target-pools add-instances ${INFRA_ID}-api-target-pool --instances-zone="${ZONE_1}" --instances=${INFRA_ID}-master-1$ gcloud compute target-pools add-instances ${INFRA_ID}-api-target-pool --instances-zone="${ZONE_2}" --instances=${INFRA_ID}-master-2
-
Deployment Manager template for control plane machines
You can use the following Deployment Manager template to deploy the control plane machines that you need for your OKD cluster:
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}Wait for bootstrap completion and remove bootstrap resources in GCP
After you create all of the required infrastructure in Google Cloud Platform (GCP), wait for the bootstrap process to complete on the machines that you provisioned by using the Ignition config files that you generated with the installation program.
Prerequisites
-
Configure a GCP account.
-
Generate the Ignition config files for your cluster.
-
Create and configure a VPC and associated subnets in GCP.
-
Create and configure networking and load balancers in GCP.
-
Create control plane and compute roles.
-
Create the bootstrap machine.
-
Create the control plane machines.
Procedure
-
Change to the directory that contains the installation program and run the following command:
$ ./openshift-install wait-for bootstrap-complete --dir <installation_directory> \ (1) --log-level info (2)1 For <installation_directory>, specify the path to the directory that you stored the installation files in.2 To view different installation details, specify warn,debug, orerrorinstead ofinfo.If the command exits without a
FATALwarning, your production control plane has initialized. -
Delete the bootstrap resources:
$ gcloud compute backend-services remove-backend ${INFRA_ID}-api-internal-backend-service --region=${REGION} --instance-group=${INFRA_ID}-bootstrap-ig --instance-group-zone=${ZONE_0}$ gsutil rm gs://${INFRA_ID}-bootstrap-ignition/bootstrap.ign$ gsutil rb gs://${INFRA_ID}-bootstrap-ignition$ gcloud deployment-manager deployments delete ${INFRA_ID}-bootstrap
Creating additional worker machines in GCP
You can create worker machines in Google Cloud Platform (GCP) for your cluster to use by launching individual instances discretely or by automated processes outside the cluster, such as auto scaling groups. You can also take advantage of the built-in cluster scaling mechanisms and the machine API in OKD.
|
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.
|
If you do not use the provided Deployment Manager template to create your worker machines, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. |
Prerequisites
-
Configure a GCP account.
-
Generate the Ignition config files for your cluster.
-
Create and configure a VPC and associated subnets in GCP.
-
Create and configure networking and load balancers in GCP.
-
Create control plane and compute roles.
-
Create the bootstrap machine.
-
Create the control plane machines.
Procedure
-
Copy the template from the Deployment Manager template for worker machines section of this topic and save it as
06_worker.pyon 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:
$ export COMPUTE_SUBNET=(`gcloud compute networks subnets describe ${INFRA_ID}-worker-subnet --region=${REGION} --format json | jq -r .selfLink`) -
Export the email address for your service account:
$ export WORKER_SERVICE_ACCOUNT=(`gcloud iam service-accounts list --filter "email~^${INFRA_ID}-w@${PROJECT_NAME}." --format json | jq -r '.[0].email'`) -
Export the location of the compute machine Ignition config file:
$ export WORKER_IGNITION=`cat <installation_directory>/worker.ign`
-
-
Create a
06_worker.yamlresource definition file:$ cat <<EOF >06_worker.yaml imports: - path: 06_worker.py resources: - name: 'worker-0' (1) type: 06_worker.py properties: infra_id: '${INFRA_ID}' (2) zone: '${ZONE_0}' (3) compute_subnet: '${COMPUTE_SUBNET}' (4) image: '${CLUSTER_IMAGE}' (5) machine_type: 'n1-standard-4' (6) root_volume_size: '128' service_account_email: '${WORKER_SERVICE_ACCOUNT}' (7) ignition: '${WORKER_IGNITION}' (8) - name: 'worker-1' type: 06_worker.py properties: infra_id: '${INFRA_ID}' (2) zone: '${ZONE_1}' (3) compute_subnet: '${COMPUTE_SUBNET}' (4) image: '${CLUSTER_IMAGE}' (5) machine_type: 'n1-standard-4' (6) root_volume_size: '128' service_account_email: '${WORKER_SERVICE_ACCOUNT}' (7) ignition: '${WORKER_IGNITION}' (8) EOF1 nameis the name of the worker machine, for exampleworker-0.2 infra_idis theINFRA_IDinfrastructure name from the extraction step.3 zoneis the zone to deploy the worker machine into, for exampleus-central1-a.4 compute_subnetis theselfLinkURL to the compute subnet.5 imageis theselfLinkURL to the FCOS image. 16 machine_typeis the machine type of the instance, for examplen1-standard-4.7 service_account_emailis the email address for the worker service account that you created.8 ignitionis the contents of theworker.ignfile. -
Optional: If you want to launch additional instances, include additional resources of type
06_worker.pyin your06_worker.yamlresource definition file. -
Create the deployment by using the
gcloudCLI:$ gcloud deployment-manager deployments create ${INFRA_ID}-worker --config 06_worker.yaml
-
To use a GCP Marketplace image, specify the offer to use:
-
OKD:
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
-
Deployment Manager template for worker machines
You can use the following Deployment Manager template to deploy the worker machines that you need for your OKD cluster:
06_worker.py Deployment Manager template
def GenerateConfig(context):
resources = [{
'name': context.properties['infra_id'] + '-' + context.env['name'],
'type': 'compute.v1.instance',
'properties': {
'disks': [{
'autoDelete': True,
'boot': True,
'initializeParams': {
'diskSizeGb': context.properties['root_volume_size'],
'sourceImage': context.properties['image']
}
}],
'machineType': 'zones/' + context.properties['zone'] + '/machineTypes/' + context.properties['machine_type'],
'metadata': {
'items': [{
'key': 'user-data',
'value': context.properties['ignition']
}]
},
'networkInterfaces': [{
'subnetwork': context.properties['compute_subnet']
}],
'serviceAccounts': [{
'email': context.properties['service_account_email'],
'scopes': ['https://www.googleapis.com/auth/cloud-platform']
}],
'tags': {
'items': [
context.properties['infra_id'] + '-worker',
]
},
'zone': context.properties['zone']
}
}]
return {'resources': resources}Installing the OpenShift CLI by downloading the binary
You can install the OpenShift CLI (oc) to interact with
OKD
from a command-line interface. You can install oc on Linux, Windows, or macOS.
|
If you installed an earlier version of |
Installing the OpenShift CLI on Linux
You can install the OpenShift CLI (oc) binary on Linux by using the following procedure.
Procedure
-
Navigate to https://mirror.openshift.com/pub/openshift-v4/clients/oc/latest/ and choose the folder for your operating system and architecture.
-
Download
oc.tar.gz. -
Unpack the archive:
$ tar xvf <file> -
Place the
ocbinary in a directory that is on yourPATH.To check your
PATH, execute the following command:$ echo $PATH
Verification
-
After you install the OpenShift CLI, it is available using the
occommand:$ 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 https://mirror.openshift.com/pub/openshift-v4/clients/oc/latest/ and choose the folder for your operating system and architecture.
-
Download
oc.zip. -
Unzip the archive with a ZIP program.
-
Move the
ocbinary to a directory that is on yourPATH.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
occommand: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 https://mirror.openshift.com/pub/openshift-v4/clients/oc/latest/ and choose the folder for your operating system and architecture.
-
Download
oc.tar.gz. -
Unpack and unzip the archive.
-
Move the
ocbinary to a directory on your PATH.To check your
PATH, open a terminal and execute the following command:$ echo $PATH
Verification
-
Verify your installation by using an
occommand:$ oc <command>
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 OKD installation.
Prerequisites
-
You deployed an OKD cluster.
-
You installed the
ocCLI.
Procedure
-
Export the
kubeadmincredentials:$ 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
occommands successfully using the exported configuration:$ oc whoamiExample outputsystem:admin
Approving the certificate signing requests for your machines
When you add machines to a cluster, two pending certificate signing requests (CSRs) are generated for each machine that you added. You must confirm that these CSRs are approved or, if necessary, approve them yourself. The client requests must be approved first, followed by the server requests.
Prerequisites
-
You added machines to your cluster.
Procedure
-
Confirm that the cluster recognizes the machines:
$ oc get nodesExample outputNAME 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 v1.28.5The output lists all of the machines that you created.
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
PendingorApprovedstatus for each machine that you added to the cluster:$ oc get csrExample outputNAME 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
Pendingstatus, approve the CSRs for your cluster machines:Because the CSRs rotate automatically, approve your CSRs within an hour of adding the machines to the cluster. If you do not approve them within an hour, the certificates will rotate, and more than two certificates will be present for each node. You must approve all of these certificates. After 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-approverif the Kubelet requests a new certificate with identical parameters.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, andoc logscommands 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 thenode-bootstrapperservice account in thesystem:nodeorsystem:admingroups, and confirm the identity of the node.-
To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> (1)1 <csr_name>is the name of a CSR from the list of current CSRs. -
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs --no-run-if-empty oc adm certificate approveSome 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:
$ oc get csrExample outputNAME 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
Pendingstatus, approve the CSRs for your cluster machines:-
To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> (1)1 <csr_name>is the name of a CSR from the list of current CSRs. -
To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve
-
-
After all client and server CSRs have been approved, the machines have the
Readystatus. Verify this by running the following command:$ oc get nodesExample outputNAME 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 v1.28.5It can take a few minutes after approval of the server CSRs for the machines to transition to the
Readystatus.
Additional information
-
For more information on CSRs, see Certificate Signing Requests.
Optional: Adding the ingress DNS records
If you removed the DNS zone configuration when creating Kubernetes manifests and generating Ignition configs, you must manually create DNS records that point at the ingress load balancer. You can create either a wildcard *.apps.{baseDomain}. or specific records. You can use A, CNAME, and other records per your requirements.
Prerequisites
-
Configure a GCP account.
-
Remove the DNS Zone configuration when creating Kubernetes manifests and generating Ignition configs.
-
Create and configure a VPC and associated subnets in GCP.
-
Create and configure networking and load balancers in GCP.
-
Create control plane and compute roles.
-
Create the bootstrap machine.
-
Create the control plane machines.
-
Create the worker machines.
Procedure
-
Wait for the Ingress router to create a load balancer and populate the
EXTERNAL-IPfield:$ oc -n openshift-ingress get service router-defaultExample outputNAME 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:
$ export ROUTER_IP=`oc -n openshift-ingress get service router-default --no-headers | awk '{print $4}'` -
Add the A record to the private zones:
$ if [ -f transaction.yaml ]; then rm transaction.yaml; fi $ gcloud dns record-sets transaction start --zone ${INFRA_ID}-private-zone $ gcloud dns record-sets transaction add ${ROUTER_IP} --name \*.apps.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 300 --type A --zone ${INFRA_ID}-private-zone $ gcloud dns record-sets transaction execute --zone ${INFRA_ID}-private-zone -
For an external cluster, also add the A record to the public zones:
$ if [ -f transaction.yaml ]; then rm transaction.yaml; fi $ gcloud dns record-sets transaction start --zone ${BASE_DOMAIN_ZONE_NAME} $ gcloud dns record-sets transaction add ${ROUTER_IP} --name \*.apps.${CLUSTER_NAME}.${BASE_DOMAIN}. --ttl 300 --type A --zone ${BASE_DOMAIN_ZONE_NAME} $ gcloud dns record-sets transaction execute --zone ${BASE_DOMAIN_ZONE_NAME}
-
-
To add explicit domains instead of using a wildcard, create entries for each of the cluster’s current routes:
$ oc get --all-namespaces -o jsonpath='{range .items[*]}{range .status.ingress[*]}{.host}{"\n"}{end}{end}' routesExample outputoauth-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
-
Completing a GCP installation on user-provisioned infrastructure
After you start the OKD installation on Google Cloud Platform (GCP) user-provisioned infrastructure, you can monitor the cluster events until the cluster is ready.
Prerequisites
-
Deploy the bootstrap machine for an OKD cluster on user-provisioned GCP infrastructure.
-
Install the
ocCLI and log in.
Procedure
-
Complete the cluster installation:
$ ./openshift-install --dir <installation_directory> wait-for install-complete (1)Example outputINFO 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.-
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-bootstrappercertificate 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:
$ oc get clusterversionExample outputNAME 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):
$ oc get clusteroperatorsExample outputNAME 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:
$ oc get pods --all-namespacesExample outputNAMESPACE 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. -
Additional resources
-
See About remote health monitoring for more information about the Telemetry service