$ oc get infrastructure cluster -o jsonpath='{.status.platform}'
You can create a different machine set to serve a specific purpose in your OpenShift Container Platform cluster on Amazon Web Services (AWS). For example, you might create infrastructure machine sets and related machines so that you can move supporting workloads to the new machines.
You can use the advanced machine management and scaling capabilities only in clusters where the Machine API is operational. Clusters with user-provisioned infrastructure require additional validation and configuration to use the Machine API. Clusters with the infrastructure platform type To view the platform type for your cluster, run the following command:
|
This sample YAML defines a machine set that runs in the us-east-1a
Amazon Web Services (AWS) zone and creates nodes that are labeled with
node-role.kubernetes.io/<role>: ""
.
In this sample, <infrastructure_id>
is the infrastructure ID label that is based on the cluster ID that you set when you provisioned the cluster, and
<role>
is the node label to add.
apiVersion: machine.openshift.io/v1beta1
kind: MachineSet
metadata:
labels:
machine.openshift.io/cluster-api-cluster: <infrastructure_id> (1)
name: <infrastructure_id>-<role>-<zone> (2)
namespace: openshift-machine-api
spec:
replicas: 1
selector:
matchLabels:
machine.openshift.io/cluster-api-cluster: <infrastructure_id> (1)
machine.openshift.io/cluster-api-machineset: <infrastructure_id>-<role>-<zone> (2)
template:
metadata:
labels:
machine.openshift.io/cluster-api-cluster: <infrastructure_id> (1)
machine.openshift.io/cluster-api-machine-role: <role> (3)
machine.openshift.io/cluster-api-machine-type: <role> (3)
machine.openshift.io/cluster-api-machineset: <infrastructure_id>-<role>-<zone> (2)
spec:
metadata:
labels:
node-role.kubernetes.io/<role>: "" (3)
providerSpec:
value:
ami:
id: ami-046fe691f52a953f9 (4)
apiVersion: awsproviderconfig.openshift.io/v1beta1
blockDevices:
- ebs:
iops: 0
volumeSize: 120
volumeType: gp2
credentialsSecret:
name: aws-cloud-credentials
deviceIndex: 0
iamInstanceProfile:
id: <infrastructure_id>-worker-profile (1)
instanceType: m4.large
kind: AWSMachineProviderConfig
placement:
availabilityZone: <zone> (5)
region: <region> (6)
securityGroups:
- filters:
- name: tag:Name
values:
- <infrastructure_id>-worker-sg (1)
subnet:
filters:
- name: tag:Name
values:
- <infrastructure_id>-private-<zone> (7)
tags:
- name: kubernetes.io/cluster/<infrastructure_id> (1)
value: owned
userDataSecret:
name: worker-user-data
1 | Specify the infrastructure ID that is based on the cluster ID that you set when you provisioned the cluster. If you have the OpenShift CLI installed, you can obtain the infrastructure ID by running the following command:
|
2 | Specify the infrastructure ID, node label, and zone. |
3 | Specify the node label to add. |
4 | Specify a valid Red Hat Enterprise Linux CoreOS (RHCOS) AMI for your AWS zone for your OpenShift Container Platform nodes. If you want to use an AWS Marketplace image, you must complete the OpenShift Container Platform subscription from the AWS Marketplace to obtain an AMI ID for your region. |
5 | Specify the zone, for example, us-east-1a . |
6 | Specify the region, for example, us-east-1 . |
7 | Specify the infrastructure ID and zone. |
In addition to the compute machine sets created by the installation program, you can create your own to dynamically manage the machine compute resources for specific workloads of your choice.
Deploy an OpenShift Container Platform cluster.
Install the OpenShift CLI (oc
).
Log in to oc
as a user with cluster-admin
permission.
Create a new YAML file that contains the machine set custom resource (CR) sample and is named <file_name>.yaml
.
Ensure that you set the <clusterID>
and <role>
parameter values.
Optional: If you are not sure which value to set for a specific field, you can check an existing compute machine set from your cluster.
To list the compute machine sets in your cluster, run the following command:
$ oc get machinesets -n openshift-machine-api
NAME DESIRED CURRENT READY AVAILABLE AGE
agl030519-vplxk-worker-us-east-1a 1 1 1 1 55m
agl030519-vplxk-worker-us-east-1b 1 1 1 1 55m
agl030519-vplxk-worker-us-east-1c 1 1 1 1 55m
agl030519-vplxk-worker-us-east-1d 0 0 55m
agl030519-vplxk-worker-us-east-1e 0 0 55m
agl030519-vplxk-worker-us-east-1f 0 0 55m
To view values of a specific compute machine set custom resource (CR), run the following command:
$ oc get machineset <machineset_name> \
-n openshift-machine-api -o yaml
apiVersion: machine.openshift.io/v1beta1
kind: MachineSet
metadata:
labels:
machine.openshift.io/cluster-api-cluster: <infrastructure_id> (1)
name: <infrastructure_id>-<role> (2)
namespace: openshift-machine-api
spec:
replicas: 1
selector:
matchLabels:
machine.openshift.io/cluster-api-cluster: <infrastructure_id>
machine.openshift.io/cluster-api-machineset: <infrastructure_id>-<role>
template:
metadata:
labels:
machine.openshift.io/cluster-api-cluster: <infrastructure_id>
machine.openshift.io/cluster-api-machine-role: <role>
machine.openshift.io/cluster-api-machine-type: <role>
machine.openshift.io/cluster-api-machineset: <infrastructure_id>-<role>
spec:
providerSpec: (3)
...
1 | The cluster infrastructure ID. | ||
2 | A default node label.
|
||
3 | The values in the <providerSpec> section of the compute machine set CR are platform-specific. For more information about <providerSpec> parameters in the CR, see the sample compute machine set CR configuration for your provider. |
Create a MachineSet
CR by running the following command:
$ oc create -f <file_name>.yaml
If you need compute machine sets in other availability zones, repeat this process to create more compute machine sets.
View the list of compute machine sets by running the following command:
$ oc get machineset -n openshift-machine-api
NAME DESIRED CURRENT READY AVAILABLE AGE
agl030519-vplxk-infra-us-east-1a 1 1 1 1 11m
agl030519-vplxk-worker-us-east-1a 1 1 1 1 55m
agl030519-vplxk-worker-us-east-1b 1 1 1 1 55m
agl030519-vplxk-worker-us-east-1c 1 1 1 1 55m
agl030519-vplxk-worker-us-east-1d 0 0 55m
agl030519-vplxk-worker-us-east-1e 0 0 55m
agl030519-vplxk-worker-us-east-1f 0 0 55m
When the new machine set is available, the DESIRED
and CURRENT
values match. If the machine set is not available, wait a few minutes and run the command again.
You can save on costs by creating a machine set running on AWS that deploys machines as non-guaranteed Spot Instances. Spot Instances utilize unused AWS EC2 capacity and are less expensive than On-Demand Instances. You can use Spot Instances for workloads that can tolerate interruptions, such as batch or stateless, horizontally scalable workloads.
AWS EC2 can terminate a Spot Instance at any time. AWS gives a two-minute warning to the user when an interruption occurs. OpenShift Container Platform begins to remove the workloads from the affected instances when AWS issues the termination warning.
Interruptions can occur when using Spot Instances for the following reasons:
The instance price exceeds your maximum price
The demand for Spot Instances increases
The supply of Spot Instances decreases
When AWS terminates an instance, a termination handler running on the Spot Instance node deletes the machine resource. To satisfy the machine set replicas
quantity, the machine set creates a machine that requests a Spot Instance.
You can launch a Spot Instance on AWS by adding spotMarketOptions
to your machine set YAML file.
Add the following line under the providerSpec
field:
providerSpec:
value:
spotMarketOptions: {}
You can optionally set the spotMarketOptions.maxPrice
field to limit the cost of the Spot Instance. For example you can set maxPrice: '2.50'
.
If the maxPrice
is set, this value is used as the hourly maximum spot price. If it is not set, the maximum price defaults to charge up to the On-Demand Instance price.
It is strongly recommended to use the default On-Demand price as the |
You can create a machine set running on AWS that deploys machines as Dedicated Instances. Dedicated Instances run in a virtual private cloud (VPC) on hardware that is dedicated to a single customer. These Amazon EC2 instances are physically isolated at the host hardware level. The isolation of Dedicated Instances occurs even if the instances belong to different AWS accounts that are linked to a single payer account. However, other instances that are not dedicated can share hardware with Dedicated Instances if they belong to the same AWS account.
Instances with either public or dedicated tenancy are supported by the Machine API. Instances with public tenancy run on shared hardware. Public tenancy is the default tenancy. Instances with dedicated tenancy run on single-tenant hardware.
You can run a machine that is backed by a Dedicated Instance by using Machine API integration. Set the tenancy
field in your machine set YAML file to launch a Dedicated Instance on AWS.
Specify a dedicated tenancy under the providerSpec
field:
providerSpec:
placement:
tenancy: dedicated