- 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
Installing a cluster on user-provisioned infrastructure in GCP by using Deployment Manager templates
In OKD version 4.14, 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.
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
You reviewed details about the OKD installation and update processes.
You read the documentation on selecting a cluster installation method and preparing it for users.
If you use a firewall and plan to use the Telemetry service, you configured the firewall to allow the sites that your cluster requires access to.
If the cloud identity and access management (IAM) APIs are not accessible in your environment, or if you do not want to store an administrator-level credential secret in the
kube-system
namespace, you can manually create and maintain long-term credentials.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
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
- You created a project to host your cluster.
Procedure
Enable the following required API services in the project that hosts your cluster. You may also enable optional API services which are not required for installation. See Enabling services in the GCP documentation.
Table 1. Required API services API service Console service name Compute Engine API
compute.googleapis.com
Cloud Resource Manager API
cloudresourcemanager.googleapis.com
Google DNS API
dns.googleapis.com
IAM Service Account Credentials API
iamcredentials.googleapis.com
Identity and Access Management (IAM) API
iam.googleapis.com
Service Usage API
serviceusage.googleapis.com
Table 2. Optional API services API service Console service name Cloud Deployment Manager V2 API
deploymentmanager.googleapis.com
Google Cloud APIs
cloudapis.googleapis.com
Service Management API
servicemanagement.googleapis.com
Google Cloud Storage JSON API
storage-api.googleapis.com
Cloud Storage
storage-component.googleapis.com
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
Identify your domain, or subdomain, and registrar. You can transfer an existing domain and registrar or obtain a new one through GCP or another source.
If you purchase a new domain, it can take time for the relevant DNS changes to propagate. For more information about purchasing domains through Google, see Google Domains.
Create a public hosted zone for your domain or subdomain in your GCP project. See Creating public zones in the GCP documentation.
Use an appropriate root domain, such as
openshiftcorp.com
, or subdomain, such 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.
Update the registrar records for the name servers that your domain uses. For example, if you registered your domain to Google Domains, see the following topic in the Google Domains Help: How to switch to custom name servers.
If you migrated your root domain to Google Cloud DNS, migrate your DNS records. See Migrating to Cloud DNS in the GCP documentation.
If you use a subdomain, follow your company’s procedures to add its delegation records to the parent domain. This process might include a request to your company’s IT department or the division that controls the root domain and DNS services for your company.
GCP account limits
The 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 |
If any of the quotas are insufficient during installation, the installation program displays an error that states both which quota was exceeded and the region. |
Be sure to consider your actual cluster size, planned cluster growth, and any usage from other clusters that are associated with your account. The CPU, static IP addresses, and persistent disk SSD (storage) quotas are the ones that are most likely to be insufficient.
If you plan to deploy your cluster in one of the following regions, you will exceed the maximum storage quota and are likely to exceed the CPU quota limit:
asia-east2
asia-northeast2
asia-south1
australia-southeast1
europe-north1
europe-west2
europe-west3
europe-west6
northamerica-northeast1
southamerica-east1
us-west2
You can increase resource quotas from the GCP console, but you might need to file a support ticket. Be sure to plan your cluster size early so that you can allow time to resolve the support ticket before you install your 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
- You created a project to host your cluster.
Procedure
Create a service account in the project that you use to host your OKD cluster. See Creating a service account in the GCP documentation.
Grant the service account the appropriate permissions. You can either grant the individual permissions that follow or assign the
Owner
role to it. See Granting roles to a service account for specific resources.While making the service account an owner of the project is the easiest way to gain the required permissions, it means that service account has complete control over the project. You must determine if the risk that comes from offering that power is acceptable.
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.
You must have a service account key or a virtual machine with an attached service account to create the cluster.
If you use a virtual machine with an attached service account to create your cluster, you must set
credentialsMode: Manual
in theinstall-config.yaml
file 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
Compute Admin
IAM Security Admin
Service Account Admin
Service Account Key Admin
Service Account User
Storage Admin
Required roles for creating network resources during installation
- DNS Administrator
Required roles for using passthrough credentials mode
Compute Load Balancer Admin
IAM Role Viewer
Required roles for user-provisioned GCP infrastructure
- Deployment Manager Editor
The roles are applied to the service accounts that the control plane and compute machines use:
Account | Roles |
---|---|
Control Plane |
|
| |
| |
| |
| |
Compute |
|
|
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
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
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
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
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
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
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
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
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
monitoring.timeSeries.list
serviceusage.quotas.get
serviceusage.services.list
Required IAM permissions for installation
iam.roles.get
Required Images permissions for installation
compute.images.create
compute.images.delete
compute.images.get
compute.images.list
Optional permission for running gather bootstrap
compute.instances.getSerialPortOutput
Required permissions for deleting network resources
compute.addresses.delete
compute.addresses.deleteInternal
compute.addresses.list
compute.firewalls.delete
compute.firewalls.list
compute.forwardingRules.delete
compute.forwardingRules.list
compute.networks.delete
compute.networks.list
compute.networks.updatePolicy
compute.routers.delete
compute.routers.list
compute.routes.list
compute.subnetworks.delete
compute.subnetworks.list
Required permissions for deleting load balancer resources
compute.regionBackendServices.delete
compute.regionBackendServices.list
compute.targetPools.delete
compute.targetPools.list
Required permissions for deleting DNS resources
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
iam.serviceAccounts.delete
iam.serviceAccounts.get
iam.serviceAccounts.list
resourcemanager.projects.getIamPolicy
resourcemanager.projects.setIamPolicy
Required permissions for deleting compute resources
compute.disks.delete
compute.disks.list
compute.instanceGroups.delete
compute.instanceGroups.list
compute.instances.delete
compute.instances.list
compute.instances.stop
compute.machineTypes.list
Required for deleting storage resources
storage.buckets.delete
storage.buckets.getIamPolicy
storage.buckets.list
storage.objects.delete
storage.objects.list
Required permissions for deleting health check resources
compute.healthChecks.delete
compute.healthChecks.list
compute.httpHealthChecks.delete
compute.httpHealthChecks.list
Required Images permissions for deletion
compute.images.delete
compute.images.list
Required permissions to get Region related information
compute.regions.get
Required Deployment Manager permissions
deploymentmanager.deployments.create
deploymentmanager.deployments.delete
deploymentmanager.deployments.get
deploymentmanager.deployments.list
deploymentmanager.manifests.get
deploymentmanager.operations.get
deploymentmanager.resources.list
Additional resources
Supported GCP regions
You can deploy an OKD cluster to the following Google Cloud Platform (GCP) regions:
asia-east1
(Changhua County, Taiwan)asia-east2
(Hong Kong)asia-northeast1
(Tokyo, Japan)asia-northeast2
(Osaka, Japan)asia-northeast3
(Seoul, South Korea)asia-south1
(Mumbai, India)asia-south2
(Delhi, India)asia-southeast1
(Jurong West, Singapore)asia-southeast2
(Jakarta, Indonesia)australia-southeast1
(Sydney, Australia)australia-southeast2
(Melbourne, Australia)europe-central2
(Warsaw, Poland)europe-north1
(Hamina, Finland)europe-southwest1
(Madrid, Spain)europe-west1
(St. Ghislain, Belgium)europe-west2
(London, England, UK)europe-west3
(Frankfurt, Germany)europe-west4
(Eemshaven, Netherlands)europe-west6
(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)
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
You created a project to host your cluster.
You created a service account and granted it the required permissions.
Procedure
Install the following binaries in
$PATH
:gcloud
gsutil
See Install the latest Cloud SDK version in the GCP documentation.
Authenticate using the
gcloud
tool with your configured service account.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. |
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, Fedora 8.7, or Fedora 8.8.
See Red Hat Enterprise Linux technology capabilities and limits.
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 |
One vCPU is equivalent to one physical core when simultaneous multithreading (SMT), or hyperthreading, is not enabled. When enabled, use the following formula to calculate the corresponding ratio: (threads per core × cores) × sockets = vCPUs.
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.
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.
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
C2
C2D
C3
E2
M1
N1
N2
N2D
Tau T2D
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:
Similar to predefined instance types, custom machine types must meet the minimum resource requirements for control plane and compute machines. For more information, see “Minimum resource requirements for cluster installation”.
The name of the custom machine type must adhere to the following syntax:
custom-<number_of_cpus>-<amount_of_memory_in_mb>
For example,
custom-6-20480
.
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.
If you follow the steps to create a separate |
Procedure
Create a directory to hold the OKD installation files:
$ mkdir $HOME/clusterconfig
Run
openshift-install
to create a set of files in themanifest
andopenshift
subdirectories. Answer the system questions as you are prompted:$ openshift-install create manifests --dir $HOME/clusterconfig
Example output
? SSH Public Key ...
INFO Credentials loaded from the "myprofile" profile in file "/home/myuser/.aws/credentials"
INFO Consuming Install Config from target directory
INFO Manifests created in: $HOME/clusterconfig/manifests and $HOME/clusterconfig/openshift
Optional: Confirm that the installation program created manifests in the
clusterconfig/openshift
directory:$ ls $HOME/clusterconfig/openshift/
Example output
99_kubeadmin-password-secret.yaml
99_openshift-cluster-api_master-machines-0.yaml
99_openshift-cluster-api_master-machines-1.yaml
99_openshift-cluster-api_master-machines-2.yaml
...
Create a Butane config that configures the additional partition. For example, name the file
$HOME/clusterconfig/98-var-partition.bu
, change the disk device name to the name of the storage device on theworker
systems, and set the storage size as appropriate. This example places the/var
directory on a separate partition:variant: openshift
version: 4.14.0
metadata:
labels:
machineconfiguration.openshift.io/role: worker
name: 98-var-partition
storage:
disks:
- device: /dev/disk/by-id/<device_name> (1)
partitions:
- label: var
start_mib: <partition_start_offset> (2)
size_mib: <partition_size> (3)
filesystems:
- device: /dev/disk/by-partlabel/var
path: /var
format: xfs
mount_options: [defaults, prjquota] (4)
with_mount_unit: true
1 The storage device name of the disk that you want to partition. 2 When adding a data partition to the boot disk, a minimum value of 25000 MiB (Mebibytes) is recommended. The root file system is automatically resized to fill all available space up to the specified offset. If no value is specified, or if the specified value is smaller than the recommended minimum, the resulting root file system will be too small, and future reinstalls of FCOS might overwrite the beginning of the data partition. 3 The size of the data partition in mebibytes. 4 The prjquota
mount option must be enabled for filesystems used for container storage.When creating a separate
/var
partition, you cannot use different instance types for worker nodes, if the different instance types do not have the same device name.Create a manifest from the Butane config and save it to the
clusterconfig/openshift
directory. For example, run the following command:$ butane $HOME/clusterconfig/98-var-partition.bu -o $HOME/clusterconfig/openshift/98-var-partition.yaml
Run
openshift-install
again to create Ignition configs from a set of files in themanifest
andopenshift
subdirectories:$ 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.yaml
file.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
execute
permission. This permission is required to run Terraform binaries under the installation directory.Use an empty directory. Some installation assets, such as bootstrap X.509 certificates, have short expiration intervals, therefore you must not reuse an installation directory. If you want to reuse individual files from another cluster installation, you can copy them into your directory. However, the file names for the installation assets might change between releases. Use caution when copying installation files from an earlier OKD version.
Always delete the
~/.powervs
directory to avoid reusing a stale configuration. Run the following command:$ rm -rf ~/.powervs
At the prompts, provide the configuration details for your cloud:
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-agent
process uses.Select gcp as the platform to target.
If you have not configured the service account key for your GCP account on your computer, you must obtain it from GCP and paste the contents of the file or enter the absolute path to the file.
Select the project ID to provision the cluster in. The default value is specified by the service account that you configured.
Select the region to deploy the cluster to.
Select the base domain to deploy the cluster to. The base domain corresponds to the public DNS zone that you created for your cluster.
Enter a descriptive name for your cluster.
Modify the
install-config.yaml
file. You can find more information about the available parameters in the “Installation configuration parameters” section.If you are installing a three-node cluster, be sure to set the
compute.replicas
parameter 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.yaml
file so that you can use it to install multiple clusters.The
install-config.yaml
file is consumed during the installation process. If you want to reuse the file, you must back it up now.
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.yaml
file.
Procedure
Use a text editor to edit the
install-config.yaml
file prior to deploying your cluster and add one of the following stanzas:To use shielded VMs for only control plane machines:
controlPlane:
platform:
gcp:
secureBoot: Enabled
To use shielded VMs for only compute machines:
compute:
- platform:
gcp:
secureBoot: Enabled
To use shielded VMs for all machines:
platform:
gcp:
defaultMachinePlatform:
secureBoot: Enabled
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.yaml
file.
Procedure
Use a text editor to edit the
install-config.yaml
file prior to deploying your cluster and add one of the following stanzas:To use confidential VMs for only control plane machines:
controlPlane:
platform:
gcp:
confidentialCompute: Enabled (1)
type: n2d-standard-8 (2)
onHostMaintenance: Terminate (3)
1 Enable confidential VMs. 2 Specify a machine type that supports Confidential VMs. Confidential VMs require the N2D or C2D series of machine types. For more information on supported machine types, see Supported operating systems and machine types. 3 Specify the behavior of the VM during a host maintenance event, such as a hardware or software update. For a machine that uses Confidential VM, this value must be set to Terminate
, which stops the VM. Confidential VMs do not support live VM migration.To use confidential VMs for only compute machines:
compute:
- platform:
gcp:
confidentialCompute: Enabled
type: n2d-standard-8
onHostMaintenance: Terminate
To use confidential VMs for all machines:
platform:
gcp:
defaultMachinePlatform:
confidentialCompute: Enabled
type: n2d-standard-8
onHostMaintenance: Terminate
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.yaml
file.You reviewed the sites that your cluster requires access to and determined whether any of them need to bypass the proxy. By default, all cluster egress traffic is proxied, including calls to hosting cloud provider APIs. You added sites to the
Proxy
object’sspec.noProxy
field to bypass the proxy if necessary.The
Proxy
objectstatus.noProxy
field 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
Proxy
objectstatus.noProxy
field is also populated with the instance metadata endpoint (169.254.169.254
).
Procedure
Edit your
install-config.yaml
file and add the proxy settings. For example:apiVersion: v1
baseDomain: my.domain.com
proxy:
httpProxy: http://<username>:<pswd>@<ip>:<port> (1)
httpsProxy: https://<username>:<pswd>@<ip>:<port> (2)
noProxy: example.com (3)
additionalTrustBundle: | (4)
-----BEGIN CERTIFICATE-----
<MY_TRUSTED_CA_CERT>
-----END CERTIFICATE-----
additionalTrustBundlePolicy: <policy_to_add_additionalTrustBundle> (5)
1 A proxy URL to use for creating HTTP connections outside the cluster. The URL scheme must be http
.2 A proxy URL to use for creating HTTPS connections outside the cluster. 3 A comma-separated list of destination domain names, IP addresses, or other network CIDRs to exclude from proxying. Preface a domain with .
to match subdomains only. For example,.y.com
matchesx.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-bundle
in theopenshift-config
namespace that contains one or more additional CA certificates that are required for proxying HTTPS connections. The Cluster Network Operator then creates atrusted-ca-bundle
config map that merges these contents with the Fedora CoreOS (FCOS) trust bundle, and this config map is referenced in thetrustedCA
field of theProxy
object. TheadditionalTrustBundle
field 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 Proxy
object to reference theuser-ca-bundle
config map in thetrustedCA
field. The allowed values areProxyonly
andAlways
. UseProxyonly
to reference theuser-ca-bundle
config map only whenhttp/https
proxy is configured. UseAlways
to always reference theuser-ca-bundle
config map. The default value isProxyonly
.The installation program does not support the proxy
readinessEndpoints
field.If the installer times out, restart and then complete the deployment by using the
wait-for
command 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.yaml
installation 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.yaml
file you created.Remove the Kubernetes manifest files that define the control plane machines:
$ rm -f <installation_directory>/openshift/99_openshift-cluster-api_master-machines-*.yaml
By removing these files, you prevent the cluster from automatically generating control plane machines.
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-*.yaml
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
mastersSchedulable
parameter in the<installation_directory>/manifests/cluster-scheduler-02-config.yml
Kubernetes 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.yml
file.Locate the
mastersSchedulable
parameter 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
privateZone
andpublicZone
sections from the<installation_directory>/manifests/cluster-dns-02-config.yml
DNS configuration file:apiVersion: config.openshift.io/v1
kind: DNS
metadata:
creationTimestamp: null
name: cluster
spec:
baseDomain: example.openshift.com
privateZone: (1)
id: mycluster-100419-private-zone
publicZone: (1)
id: example.openshift.com
status: {}
1 Remove 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-password
andkubeconfig
files are created in the./<installation_directory>/auth
directory:.
├── 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
jq
package.
Procedure
To extract and view the infrastructure name from the Ignition config file metadata, run the following command:
$ jq -r .infraID <installation_directory>/metadata.json (1)
1 For <installation_directory>
, specify the path to the directory that you stored the installation files in.Example output
openshift-vw9j6 (1)
1 The output of this command is your cluster name and a random string.
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
jq
package.
Procedure
Export the following common variables to be used by the provided Deployment Manager templates:
$ export BASE_DOMAIN='<base_domain>'
$ export BASE_DOMAIN_ZONE_NAME='<base_domain_zone_name>'
$ export NETWORK_CIDR='10.0.0.0/16'
$ export MASTER_SUBNET_CIDR='10.0.0.0/17'
$ 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.py
on your computer. This template describes the VPC that your cluster requires.Create a
01_vpc.yaml
resource definition file:$ cat <<EOF >01_vpc.yaml
imports:
- path: 01_vpc.py
resources:
- name: cluster-vpc
type: 01_vpc.py
properties:
infra_id: '${INFRA_ID}' (1)
region: '${REGION}' (2)
master_subnet_cidr: '${MASTER_SUBNET_CIDR}' (3)
worker_subnet_cidr: '${WORKER_SUBNET_CIDR}' (4)
EOF
1 infra_id
is theINFRA_ID
infrastructure name from the extraction step.2 region
is the region to deploy the cluster into, for exampleus-central1
.3 master_subnet_cidr
is the CIDR for the master subnet, for example10.0.0.0/17
.4 worker_subnet_cidr
is the CIDR for the worker subnet, for example10.0.128.0/17
.Create the deployment by using the
gcloud
CLI:$ gcloud deployment-manager deployments create ${INFRA_ID}-vpc --config 01_vpc.yaml
Deployment Manager template for the VPC
You can use the following Deployment Manager template to deploy the VPC that you need for your OKD cluster:
01_vpc.py
Deployment Manager template
def GenerateConfig(context):
resources = [{
'name': context.properties['infra_id'] + '-network',
'type': 'compute.v1.network',
'properties': {
'region': context.properties['region'],
'autoCreateSubnetworks': False
}
}, {
'name': context.properties['infra_id'] + '-master-subnet',
'type': 'compute.v1.subnetwork',
'properties': {
'region': context.properties['region'],
'network': '$(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 | |
| openshift-sdn | |
UDP |
| VXLAN |
| Geneve | |
| Host level services, including the node exporter on ports | |
| IPsec IKE packets | |
| IPsec NAT-T packets | |
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.py
on your computer. This template describes the internal load balancing objects that your cluster requires.For an external cluster, also copy the template from the Deployment Manager template for the external load balancer section of this topic and save it as
02_lb_ext.py
on your computer. This template describes the external load balancing objects that your cluster requires.Export the variables that the deployment template uses:
Export the cluster network location:
$ 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 ${REGION} --format=json | jq -r .zones[2] | cut -d "/" -f9`)
Create a
02_infra.yaml
resource definition file:$ 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}'
- '${ZONE_2}'
EOF
1 Required only when deploying an external cluster. 2 infra_id
is theINFRA_ID
infrastructure name from the extraction step.3 region
is the region to deploy the cluster into, for exampleus-central1
.4 control_subnet
is the URI to the control subnet.5 zones
are the zones to deploy the control plane instances into, likeus-east1-b
,us-east1-c
, andus-east1-d
.Create the deployment by using the
gcloud
CLI:$ 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': '$(ref.' + context.properties['infra_id'] + '-cluster-ip.selfLink)',
'loadBalancingScheme': 'INTERNAL',
'ports': ['6443','22623'],
'region': context.properties['region'],
'subnetwork': context.properties['control_subnet']
}
}]
for zone in context.properties['zones']:
resources.append({
'name': context.properties['infra_id'] + '-master-' + zone + '-ig',
'type': 'compute.v1.instanceGroup',
'properties': {
'namedPorts': [
{
'name': 'ignition',
'port': 22623
}, {
'name': 'https',
'port': 6443
}
],
'network': context.properties['cluster_network'],
'zone': zone
}
})
return {'resources': resources}
You will need this template in addition to the 02_lb_ext.py
template when you create an external cluster.
Creating a private DNS zone in GCP
You must configure a private DNS zone in Google Cloud Platform (GCP) for your OKD cluster to use. One way to create this component is to modify the provided Deployment Manager template.
If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. |
Prerequisites
Configure a GCP account.
Generate the Ignition config files for your cluster.
Create and configure a VPC and associated subnets in GCP.
Procedure
Copy the template from the Deployment Manager template for the private DNS section of this topic and save it as
02_dns.py
on your computer. This template describes the private DNS objects that your cluster requires.Create a
02_dns.yaml
resource definition file:$ 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)
EOF
1 infra_id
is theINFRA_ID
infrastructure name from the extraction step.2 cluster_domain
is the domain for the cluster, for exampleopenshift.example.com
.3 cluster_network
is theselfLink
URL to the cluster network.Create the deployment by using the
gcloud
CLI:$ 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 ${BASE_DOMAIN_ZONE_NAME}
Deployment Manager template for the private DNS
You can use the following Deployment Manager template to deploy the private DNS that you need for your OKD cluster:
02_dns.py
Deployment Manager template
def GenerateConfig(context):
resources = [{
'name': context.properties['infra_id'] + '-private-zone',
'type': 'dns.v1.managedZone',
'properties': {
'description': '',
'dnsName': context.properties['cluster_domain'] + '.',
'visibility': 'private',
'privateVisibilityConfig': {
'networks': [{
'networkUrl': context.properties['cluster_network']
}]
}
}
}]
return {'resources': resources}
Creating firewall rules in GCP
You must create firewall rules in Google Cloud Platform (GCP) for your OKD cluster to use. One way to create these components is to modify the provided Deployment Manager template.
If you do not use the provided Deployment Manager template to create your GCP infrastructure, you must review the provided information and manually create the infrastructure. If your cluster does not initialize correctly, you might have to contact Red Hat support with your installation logs. |
Prerequisites
Configure a GCP account.
Generate the Ignition config files for your cluster.
Create and configure a VPC and associated subnets in GCP.
Procedure
Copy the template from the Deployment Manager template for firewall rules section of this topic and save it as
03_firewall.py
on your computer. This template describes the security groups that your cluster requires.Create a
03_firewall.yaml
resource definition file:$ 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: '${NETWORK_CIDR}' (4)
EOF
1 allowed_external_cidr
is the CIDR range that can access the cluster API and SSH to the bootstrap host. For an internal cluster, set this value to${NETWORK_CIDR}
.2 infra_id
is theINFRA_ID
infrastructure name from the extraction step.3 cluster_network
is theselfLink
URL to the cluster network.4 network_cidr
is the CIDR of the VPC network, for example10.0.0.0/16
.Create the deployment by using the
gcloud
CLI:$ 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.py
on your computer. This template describes the IAM roles that your cluster requires.Create a
03_iam.yaml
resource definition file:$ cat <<EOF >03_iam.yaml
imports:
- path: 03_iam.py
resources:
- name: cluster-iam
type: 03_iam.py
properties:
infra_id: '${INFRA_ID}' (1)
EOF
1 infra_id
is theINFRA_ID
infrastructure name from the extraction step.Create the deployment by using the
gcloud
CLI:$ 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.py
on 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 ${INFRA_ID}-rhcos-image --format json | jq -r .selfLink`)
Create a bucket and upload the
bootstrap.ign
file:$ 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 $5}'`
Create a
04_bootstrap.yaml
resource definition file:$ cat <<EOF >04_bootstrap.yaml
imports:
- path: 04_bootstrap.py
resources:
- name: cluster-bootstrap
type: 04_bootstrap.py
properties:
infra_id: '${INFRA_ID}' (1)
region: '${REGION}' (2)
zone: '${ZONE_0}' (3)
cluster_network: '${CLUSTER_NETWORK}' (4)
control_subnet: '${CONTROL_SUBNET}' (5)
image: '${CLUSTER_IMAGE}' (6)
machine_type: 'n1-standard-4' (7)
root_volume_size: '128' (8)
bootstrap_ign: '${BOOTSTRAP_IGN}' (9)
EOF
1 infra_id
is theINFRA_ID
infrastructure name from the extraction step.2 region
is the region to deploy the cluster into, for exampleus-central1
.3 zone
is the zone to deploy the bootstrap instance into, for exampleus-central1-b
.4 cluster_network
is theselfLink
URL to the cluster network.5 control_subnet
is theselfLink
URL to the control subnet.6 image
is theselfLink
URL to the FCOS image.7 machine_type
is the machine type of the instance, for examplen1-standard-4
.8 root_volume_size
is the boot disk size for the bootstrap machine.9 bootstrap_ign
is the URL output when creating a signed URL.Create the deployment by using the
gcloud
CLI:$ 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.py
on 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.yaml
resource definition file:$ cat <<EOF >05_control_plane.yaml
imports:
- path: 05_control_plane.py
resources:
- name: cluster-control-plane
type: 05_control_plane.py
properties:
infra_id: '${INFRA_ID}' (1)
zones: (2)
- '${ZONE_0}'
- '${ZONE_1}'
- '${ZONE_2}'
control_subnet: '${CONTROL_SUBNET}' (3)
image: '${CLUSTER_IMAGE}' (4)
machine_type: 'n1-standard-4' (5)
root_volume_size: '128'
service_account_email: '${MASTER_SERVICE_ACCOUNT}' (6)
ignition: '${MASTER_IGNITION}' (7)
EOF
1 infra_id
is theINFRA_ID
infrastructure name from the extraction step.2 zones
are the zones to deploy the control plane instances into, for exampleus-central1-a
,us-central1-b
, andus-central1-c
.3 control_subnet
is theselfLink
URL to the control subnet.4 image
is theselfLink
URL to the FCOS image.5 machine_type
is the machine type of the instance, for examplen1-standard-4
.6 service_account_email
is the email address for the master service account that you created.7 ignition
is the contents of themaster.ign
file.Create the deployment by using the
gcloud
CLI:$ gcloud deployment-manager deployments create ${INFRA_ID}-control-plane --config 05_control_plane.yaml
The templates do not manage 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
, orerror
instead ofinfo
.If the command exits without a
FATAL
warning, 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.py
on your computer. This template describes the worker machines that your cluster requires.Export the variables that the resource definition uses.
Export the subnet that hosts the compute machines:
$ 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.yaml
resource 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)
EOF
1 name
is the name of the worker machine, for exampleworker-0
.2 infra_id
is theINFRA_ID
infrastructure name from the extraction step.3 zone
is the zone to deploy the worker machine into, for exampleus-central1-a
.4 compute_subnet
is theselfLink
URL to the compute subnet.5 image
is theselfLink
URL to the FCOS image. 16 machine_type
is the machine type of the instance, for examplen1-standard-4
.7 service_account_email
is the email address for the worker service account that you created.8 ignition
is the contents of theworker.ign
file.Optional: If you want to launch additional instances, include additional resources of type
06_worker.py
in your06_worker.yaml
resource definition file.Create the deployment by using the
gcloud
CLI:$ gcloud deployment-manager deployments create ${INFRA_ID}-worker --config 06_worker.yaml
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
oc
binary in a directory that is on yourPATH
.To check your
PATH
, execute the following command:$ echo $PATH
After you install the OpenShift CLI, it is available using the oc
command:
$ 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
oc
binary to a directory that is on yourPATH
.To check your
PATH
, open the command prompt and execute the following command:C:\> path
After you install the OpenShift CLI, it is available using the oc
command:
C:\> oc <command>
Installing the OpenShift CLI on macOS
You can install the OpenShift CLI (oc
) binary on macOS by using the following procedure.
Procedure
Navigate to 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
oc
binary to a directory on your PATH.To check your
PATH
, open a terminal and execute the following command:$ echo $PATH
After you install the OpenShift CLI, it is available using the oc
command:
$ 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
oc
CLI.
Procedure
Export the
kubeadmin
credentials:$ export KUBECONFIG=<installation_directory>/auth/kubeconfig (1)
1 For <installation_directory>
, specify the path to the directory that you stored the installation files in.Verify you can run
oc
commands successfully using the exported configuration:$ oc whoami
Example output
system:admin
Approving the certificate signing requests for your machines
When you add machines to a cluster, two pending certificate signing requests (CSRs) are generated for each machine that you added. You must confirm that these CSRs are approved or, if necessary, approve them yourself. The client requests must be approved first, followed by the server requests.
Prerequisites
- You added machines to your cluster.
Procedure
Confirm that the cluster recognizes the machines:
$ oc get nodes
Example output
NAME STATUS ROLES AGE VERSION
master-0 Ready master 63m v1.27.3
master-1 Ready master 63m v1.27.3
master-2 Ready master 64m v1.27.3
The 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
Pending
orApproved
status for each machine that you added to the cluster:$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION
csr-8b2br 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending
csr-8vnps 15m system:serviceaccount:openshift-machine-config-operator:node-bootstrapper Pending
...
In this example, two machines are joining the cluster. You might see more approved CSRs in the list.
If the CSRs were not approved, after all of the pending CSRs for the machines you added are in
Pending
status, approve the CSRs for your cluster machines:Because the CSRs rotate automatically, approve your CSRs within an hour of adding the machines to the cluster. If you do not approve them within an hour, the certificates will rotate, and more than two certificates will be present for each node. You must approve all of these certificates. After the client CSR is approved, the Kubelet creates a secondary CSR for the serving certificate, which requires manual approval. Then, subsequent serving certificate renewal requests are automatically approved by the
machine-approver
if the Kubelet requests a new certificate with identical parameters.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 logs
commands cannot succeed, because a serving certificate is required when the API server connects to the kubelet. Any operation that contacts the Kubelet endpoint requires this certificate approval to be in place. The method must watch for new CSRs, confirm that the CSR was submitted by thenode-bootstrapper
service account in thesystem:node
orsystem:admin
groups, 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 approve
Some Operators might not become available until some CSRs are approved.
Now that your client requests are approved, you must review the server requests for each machine that you added to the cluster:
$ oc get csr
Example output
NAME AGE REQUESTOR CONDITION
csr-bfd72 5m26s system:node:ip-10-0-50-126.us-east-2.compute.internal Pending
csr-c57lv 5m26s system:node:ip-10-0-95-157.us-east-2.compute.internal Pending
...
If the remaining CSRs are not approved, and are in the
Pending
status, approve the CSRs for your cluster machines:To approve them individually, run the following command for each valid CSR:
$ oc adm certificate approve <csr_name> (1)
1 <csr_name>
is the name of a CSR from the list of current CSRs.To approve all pending CSRs, run the following command:
$ oc get csr -o go-template='{{range .items}}{{if not .status}}{{.metadata.name}}{{"\n"}}{{end}}{{end}}' | xargs oc adm certificate approve
After all client and server CSRs have been approved, the machines have the
Ready
status. Verify this by running the following command:$ oc get nodes
Example output
NAME STATUS ROLES AGE VERSION
master-0 Ready master 73m v1.27.3
master-1 Ready master 73m v1.27.3
master-2 Ready master 74m v1.27.3
worker-0 Ready worker 11m v1.27.3
worker-1 Ready worker 11m v1.27.3
It can take a few minutes after approval of the server CSRs for the machines to transition to the
Ready
status.
Additional information
- For more information on CSRs, see Certificate Signing Requests.
Optional: Adding the ingress DNS records
If you removed the DNS zone configuration when creating Kubernetes manifests and generating Ignition configs, you must manually create DNS records that point at the ingress load balancer. You can create either a wildcard *.apps.{baseDomain}.
or specific records. You can use A, CNAME, and other records per your requirements.
Prerequisites
Configure a GCP account.
Remove the DNS Zone configuration when creating Kubernetes manifests and generating Ignition configs.
Create and configure a VPC and associated subnets in GCP.
Create and configure networking and load balancers in GCP.
Create control plane and compute roles.
Create the bootstrap machine.
Create the control plane machines.
Create the worker machines.
Procedure
Wait for the Ingress router to create a load balancer and populate the
EXTERNAL-IP
field:$ oc -n openshift-ingress get service router-default
Example output
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
router-default LoadBalancer 172.30.18.154 35.233.157.184 80:32288/TCP,443:31215/TCP 98
Add the A record to your zones:
To use A records:
Export the variable for the router IP address:
$ 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}' routes
Example output
oauth-openshift.apps.your.cluster.domain.example.com
console-openshift-console.apps.your.cluster.domain.example.com
downloads-openshift-console.apps.your.cluster.domain.example.com
alertmanager-main-openshift-monitoring.apps.your.cluster.domain.example.com
prometheus-k8s-openshift-monitoring.apps.your.cluster.domain.example.com
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
oc
CLI and log in.
Procedure
Complete the cluster installation:
$ ./openshift-install --dir <installation_directory> wait-for install-complete (1)
Example output
INFO Waiting up to 30m0s for the cluster to initialize...
1 For <installation_directory>
, specify the path to the directory that you stored the installation files in.The Ignition config files that the installation program generates contain certificates that expire after 24 hours, which are then renewed at that time. If the cluster is shut down before renewing the certificates and the cluster is later restarted after the 24 hours have elapsed, the cluster automatically recovers the expired certificates. The exception is that you must manually approve the pending
node-bootstrapper
certificate signing requests (CSRs) to recover kubelet certificates. See the documentation for Recovering from expired control plane certificates for more information.It is recommended that you use Ignition config files within 12 hours after they are generated because the 24-hour certificate rotates from 16 to 22 hours after the cluster is installed. By using the Ignition config files within 12 hours, you can avoid installation failure if the certificate update runs during installation.
Observe the running state of your cluster.
Run the following command to view the current cluster version and status:
$ oc get clusterversion
Example output
NAME VERSION AVAILABLE PROGRESSING SINCE STATUS
version False True 24m Working towards 4.5.4: 99% complete
Run the following command to view the Operators managed on the control plane by the Cluster Version Operator (CVO):
$ oc get clusteroperators
Example output
NAME VERSION AVAILABLE PROGRESSING DEGRADED SINCE
authentication 4.5.4 True False False 7m56s
cloud-credential 4.5.4 True False False 31m
cluster-autoscaler 4.5.4 True False False 16m
console 4.5.4 True False False 10m
csi-snapshot-controller 4.5.4 True False False 16m
dns 4.5.4 True False False 22m
etcd 4.5.4 False False False 25s
image-registry 4.5.4 True False False 16m
ingress 4.5.4 True False False 16m
insights 4.5.4 True False False 17m
kube-apiserver 4.5.4 True False False 19m
kube-controller-manager 4.5.4 True False False 20m
kube-scheduler 4.5.4 True False False 20m
kube-storage-version-migrator 4.5.4 True False False 16m
machine-api 4.5.4 True False False 22m
machine-config 4.5.4 True False False 22m
marketplace 4.5.4 True False False 16m
monitoring 4.5.4 True False False 10m
network 4.5.4 True False False 23m
node-tuning 4.5.4 True False False 23m
openshift-apiserver 4.5.4 True False False 17m
openshift-controller-manager 4.5.4 True False False 15m
openshift-samples 4.5.4 True False False 16m
operator-lifecycle-manager 4.5.4 True False False 22m
operator-lifecycle-manager-catalog 4.5.4 True False False 22m
operator-lifecycle-manager-packageserver 4.5.4 True False False 18m
service-ca 4.5.4 True False False 23m
service-catalog-apiserver 4.5.4 True False False 23m
service-catalog-controller-manager 4.5.4 True False False 23m
storage 4.5.4 True False False 17m
Run the following command to view your cluster pods:
$ oc get pods --all-namespaces
Example output
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system etcd-member-ip-10-0-3-111.us-east-2.compute.internal 1/1 Running 0 35m
kube-system etcd-member-ip-10-0-3-239.us-east-2.compute.internal 1/1 Running 0 37m
kube-system etcd-member-ip-10-0-3-24.us-east-2.compute.internal 1/1 Running 0 35m
openshift-apiserver-operator openshift-apiserver-operator-6d6674f4f4-h7t2t 1/1 Running 1 37m
openshift-apiserver apiserver-fm48r 1/1 Running 0 30m
openshift-apiserver apiserver-fxkvv 1/1 Running 0 29m
openshift-apiserver apiserver-q85nm 1/1 Running 0 29m
...
openshift-service-ca-operator openshift-service-ca-operator-66ff6dc6cd-9r257 1/1 Running 0 37m
openshift-service-ca apiservice-cabundle-injector-695b6bcbc-cl5hm 1/1 Running 0 35m
openshift-service-ca configmap-cabundle-injector-8498544d7-25qn6 1/1 Running 0 35m
openshift-service-ca service-serving-cert-signer-6445fc9c6-wqdqn 1/1 Running 0 35m
openshift-service-catalog-apiserver-operator openshift-service-catalog-apiserver-operator-549f44668b-b5q2w 1/1 Running 0 32m
openshift-service-catalog-controller-manager-operator openshift-service-catalog-controller-manager-operator-b78cr2lnm 1/1 Running 0 31m
When the current cluster version is
AVAILABLE
, the installation is complete.
Additional resources
- See About remote health monitoring for more information about the Telemetry service