» spotinst_ocean_aws

Provides a Spotinst Ocean AWS resource.

» Example Usage

resource "spotinst_ocean_aws" "example" {
  name = "demo"
  controller_id = "fakeClusterId"
  region = "us-west-2"

  max_size         = 2
  min_size         = 1
  desired_capacity = 2

  subnet_ids = ["subnet-123456789"]
  whitelist  = ["t1.micro", "m1.small"]

  // --- LAUNCH CONFIGURATION --------------
  image_id             = "ami-123456"
  security_groups      = ["sg-987654321"]
  key_name             = "fake key"
  user_data            = "echo hello world"
  iam_instance_profile = "iam-profile"
  root_volume_size     = 20

  associate_public_ip_address = true

  load_balancers = [
    {
      arn = "arn:aws:elasticloadbalancing:us-west-2:fake-arn"
      type = "TARGET_GROUP"
    },
    {
      name = "AntonK"
      type = "CLASSIC"
    }
  ]
  // ---------------------------------------

  // --- STRATEGY --------------------
  fallback_to_ondemand       = true
  spot_percentage            = 100
  utilize_reserved_instances = false
  // ---------------------------------

  // --- AUTOSCALER -----------------
  autoscaler = {
    autoscale_is_enabled     = false
    autoscale_is_auto_config = false
    autoscale_cooldown       = 300

    autoscale_headroom = {
      cpu_per_unit    = 1024
      gpu_per_unit    = 1
      memory_per_unit = 512
      num_of_units    = 2
    }

    autoscale_down = {
      evaluation_periods = 300
    }

    resource_limits = {
      max_vcpu       = 1024
      max_memory_gib = 20
    }
  }
  // --------------------------------
}

» Argument Reference

The following arguments are supported:

name - (Required) The cluster name.
controller_id - (Required) The ocean cluster identifier. Example: ocean.k8s
region - (Required) The region the cluster will run in.
max_size - (Optional, Default: 1000) The upper limit of instances the cluster can scale up to.
min_size - (Optional) The lower limit of instances the cluster can scale down to.
desired_capacity - (Optional) The number of instances to launch and maintain in the cluster.
subnet_ids - (Required) A comma-separated list of subnet identifiers for the Ocean cluster. Subnet IDs should be configured with auto assign public ip.

  name = "demo"
  controller_id = "fakeClusterId"
  region = "us-west-2"

  max_size         = 2
  min_size         = 1
  desired_capacity = 2

whitelist - (Optional) Instance types allowed in the Ocean cluster. Cannot be configured if blacklist is configured.
blacklist - (Optional) Instance types not allowed in the Ocean cluster. Cannot be configured if whitelist is configured.

whitelist = ["t1.micro", "m1.small"]
// blacklist = ["t1.micro", "m1.small"]

user_data - (Optional) Base64-encoded MIME user data to make available to the instances.
image_id - (Required) ID of the image used to launch the instances.
security_groups - (Required) One or more security group ids.
key_name - (Optional) The key pair to attach the instances.
iam_instance_profile - (Optional) The instance profile iam role.
associate_public_ip_address - (Optional, Default: false) Configure public IP address allocation.
root_volume_size - (Optional) The size (in Gb) to allocate for the root volume. Minimum 20.
monitoring - (Optional) Enable detailed monitoring for cluster. Flag will enable Cloud Watch detailed detailed monitoring (one minute increments). Note: there are additional hourly costs for this service based on the region used.
ebs_optimized - (Optional) Enable EBS optimized for cluster. Flag will enable optimized capacity for high bandwidth connectivity to the EB service for non EBS optimized instance types. For instances that are EBS optimized this flag will be ignored.
load_balancers - (Optional) - Array of load balancer objects to add to ocean cluster
- arn - (Optional) Required if type is set to TARGET_GROUP
- name - (Optional) Required if type is set to CLASSIC
- type - (Required) Can be set to CLASSIC or TARGET_GROUP

  image_id             = "ami-79826301"
  security_groups      = ["sg-042d658b3ee907848"]
  key_name             = "fake key"
  user_data            = "echo hello world"
  iam_instance_profile = "iam-profile"
  root_volume_size     = 20
  monitoring           = true
  ebs_optimized        = true

  associate_public_ip_address = true

  load_balancers = [
    {
      arn = "arn:aws:elasticloadbalancing:us-west-2:fake-arn"
      type = "TARGET_GROUP"
    },
    {
      name = "AntonK"
      type = "CLASSIC"
    }
  ]

fallback_to_ondemand - (Optional, Default: true) If not Spot instance markets are available, enable Ocean to launch On-Demand instances instead.
spot_percentage - (Optional, Default: 100) The percentage of Spot instances the cluster should maintain. Min 0, max 100.
utilize_reserved_instances - (Optional, Default false) If Reserved instances exist, OCean will utilize them before launching Spot instances.

  fallback_to_ondemand       = true
  spot_percentage            = 100
  utilize_reserved_instances = false

autoscaler - (Optional) Describes the Ocean Kubernetes autoscaler.
autoscale_is_enabled - (Optional, Default: true) Enable the Ocean Kubernetes autoscaler.
autoscale_is_auto_config - (Optional, Default: true) Automatically configure and optimize headroom resources.
autoscale_cooldown - (Optional, Default: null) Cooldown period between scaling actions.
autoscale_headroom - (Optional) Spare resource capacity management enabling fast assignment of Pods without waiting for new resources to launch.
cpu_per_unit - (Optional) Optionally configure the number of CPUs to allocate the headroom. CPUs are denoted in millicores, where 1000 millicores = 1 vCPU.
gpu_per_unit - (Optional) Optionally configure the number of GPUS to allocate the headroom.
memory_per_unit - (Optional) Optionally configure the amount of memory (MB) to allocate the headroom.
num_of_units - (Optional) The number of units to retain as headroom, where each unit has the defined headroom CPU and memory.
autoscale_down - (Optional) Auto Scaling scale down operations.
evaluation_periods - (Optional, Default: null) The number of evaluation periods that should accumulate before a scale down action takes place.
resource_limits - (Optional) Optionally set upper and lower bounds on the resource usage of the cluster.
max_vcpu - (Optional) The maximum cpu in vCPU units that can be allocated to the cluster.
max_memory_gib - (Optional) The maximum memory in GiB units that can be allocated to the cluster.

  autoscaler = {
    autoscale_is_enabled     = false
    autoscale_is_auto_config = false
    autoscale_cooldown       = 300

    autoscale_headroom = {
      cpu_per_unit    = 1024
      gpu_per_unit    = 1
      memory_per_unit = 512
      num_of_units    = 2
    }

    autoscale_down = {
      evaluation_periods = 300
    }

    resource_limits = {
      max_vcpu       = 1024
      max_memory_gib = 20
    }
  }

tags - (Optional) Optionally adds tags to instances launched in an Ocean cluster.
key - (Optional) The tag key.
value - (Optional) The tag value.

tags = [{
  key   = "fakeKey"
  value = "fakeValue"
}]

» Update Policy

update_policy - (Optional)
- should_roll - (Required) Enables the roll.
- roll_config - (Required) While used, you can control whether the group should perform a deployment after an update to the configuration.
  - batch_size_percentage - (Required) Sets the percentage of the instances to deploy in each batch.

  update_policy = {
    should_roll = false

    roll_config = {
      batch_size_percentage = 33
    }
  }