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The `InstanceGroup` resource

The InstanceGroup resource represents a group of similar machines typically provisioned in the same availability zone. On AWS, instance groups map directly to an autoscaling group.

The complete list of keys can be found at the InstanceGroup reference page.

You can also find concrete use cases for the configurations on the Instance Group operations page

On this page, we will expand on the more important configuration keys.

cloudLabels

If you need to add tags on auto scaling groups or instances (propagate ASG tags), you can add it in the instance group specs with cloudLabels. Cloud Labels defined at the cluster spec level will also be inherited.

spec:
  cloudLabels:
    billing: infra
    environment: dev

suspendProcess

Autoscaling groups automatically include multiple scaling processes that keep our ASGs healthy. In some cases, you may want to disable certain scaling activities.

An example of this is if you are running multiple AZs in an ASG while using a Kubernetes Autoscaler. The autoscaler will remove specific instances that are not being used. In some cases, the AZRebalance process will rescale the ASG without warning.

spec:
  suspendProcesses:
  - AZRebalance

instanceProtection

Autoscaling groups may scale up or down automatically to balance types of instances, regions, etc. Instance protection prevents the ASG from being scaled in.

spec:
  instanceProtection: true

externalLoadBalancers

Instance groups can be linked to up to 10 load balancers. When attached, any instance launched will automatically register itself to the load balancer. For example, if you can create an instance group dedicated to running an ingress controller exposed on a NodePort, you can manually create a load balancer and link it to the instance group. Traffic to the load balancer will now automatically go to one of the nodes.

You can specify either loadBalancerName to link the instance group to an AWS Classic ELB or you can specify targetGroupArn to link the instance group to a target group, which are used by Application load balancers and Network load balancers.

apiVersion: kops.k8s.io/v1alpha2
kind: InstanceGroup
metadata:
  labels:
    kops.k8s.io/cluster: k8s.dev.local
  name: ingress
spec:
  machineType: m4.large
  maxSize: 2
  minSize: 2
  role: Node
  externalLoadBalancers:
  - targetGroupArn: arn:aws:elasticloadbalancing:eu-west-1:123456789012:targetgroup/my-ingress-target-group/0123456789abcdef
  - loadBalancerName: my-elb-classic-load-balancer

detailedInstanceMonitoring

Detailed monitoring will cause the monitoring data to be available every 1 minute instead of every 5 minutes. Enabling Detailed Monitoring. In production environments you may want to consider to enable detailed monitoring for quicker troubleshooting.

Note: that enabling detailed monitoring is a subject for charge

spec:
  detailedInstanceMonitoring: true

additionalUserData

Kops utilizes cloud-init to initialize and setup a host at boot time. However in certain cases you may already be leveraging certain features of cloud-init in your infrastructure and would like to continue doing so. More information on cloud-init can be found here

Additional user-data can be passed to the host provisioning by setting the additionalUserData field. A list of valid user-data content-types can be found here

Example:

spec:
  additionalUserData:
  - name: myscript.sh
    type: text/x-shellscript
    content: |
      #!/bin/sh
      echo "Hello World.  The time is now $(date -R)!" | tee /root/output.txt      
  - name: local_repo.txt
    type: text/cloud-config
    content: |
      #cloud-config
      apt:
        primary:
          - arches: [default]
            uri: http://local-mirror.mydomain
            search:
              - http://local-mirror.mydomain
              - http://archive.ubuntu.com

sysctlParameters

To add custom kernel runtime parameters to your instance group, specify the sysctlParameters field as an array of strings. Each string must take the form of variable=value the way it would appear in sysctl.conf (see also sysctl(8) manpage).

Unlike a simple file asset, specifying kernel runtime parameters in this manner would correctly invoke sysctl --system automatically for you to apply said parameters.

For example:

apiVersion: kops.k8s.io/v1alpha2
kind: InstanceGroup
metadata:
  name: nodes
spec:
  sysctlParameters:
    - fs.pipe-user-pages-soft=524288
    - net.ipv4.tcp_keepalive_time=200

which would end up in a drop-in file on nodes of the instance group in question.

mixedInstancePolicy (AWS Only)

Example

apiVersion: kops.k8s.io/v1alpha2
kind: InstanceGroup
metadata:
  generation: 2
  labels:
    kops.k8s.io/cluster: <clustername>
  name: spot-4vcpu-16gb
spec:
  cloudLabels:
    autoscaler: enabled
    cluster: kops-cluster
  image: kope.io/k8s-1.16-debian-stretch-amd64-hvm-ebs-2020-01-17
  maxSize: 5
  minSize: 1
  machineType: m5.xlarge
  mixedInstancesPolicy:
    instances:
    - m5.xlarge
    - m5d.xlarge
    - m4.xlarge
    - t3.xlarge
    - t3a.xlarge
    - m5a.xlarge
    - m5ad.xlarge
    - m5n.xlarge    
    - m5dn.xlarge
    onDemandBase: 0
    onDemandAboveBase: 0
    spotAllocationStrategy: capacity-optimized
  nodeLabels:
    lifecycle: Ec2Spot

Instances

Instances is a list of instance types which we are willing to run in the EC2 Auto Scaling group

onDemandAllocationStrategy

Indicates how to allocate instance types to fulfill On-Demand capacity

onDemandBase

OnDemandBase is the minimum amount of the Auto Scaling group's capacity that must be fulfilled by On-Demand Instances. This base portion is provisioned first as your group scales.

onDemandAboveBase

OnDemandAboveBase controls the percentages of On-Demand Instances and Spot Instances for your additional capacity beyond OnDemandBase. The range is 0–100. The default value is 100. If you leave this parameter set to 100, the percentages are 100% for On-Demand Instances and 0% for Spot Instances.

spotAllocationStrategy

SpotAllocationStrategy Indicates how to allocate instances across Spot Instance pools.

If the allocation strategy is lowest-price, the Auto Scaling group launches instances using the Spot pools with the lowest price, and evenly allocates your instances across the number of Spot pools that you specify in spotInstancePools. If the allocation strategy is capacity-optimized, the Auto Scaling group launches instances using Spot pools that are optimally chosen based on the available Spot capacity. https://docs.aws.amazon.com/autoscaling/ec2/APIReference/API_InstancesDistribution.html

spotInstancePools

Used only when the Spot allocation strategy is lowest-price. The number of Spot Instance pools across which to allocate your Spot Instances. The Spot pools are determined from the different instance types in the Overrides array of LaunchTemplate. Default if not set is 2.

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The InstanceGroup resource