paws.compute (version 0.1.0)

ec2_create_capacity_reservation: Creates a new Capacity Reservation with the specified attributes

Description

Creates a new Capacity Reservation with the specified attributes.

Usage

ec2_create_capacity_reservation(ClientToken, InstanceType,
  InstancePlatform, AvailabilityZone, Tenancy, InstanceCount,
  EbsOptimized, EphemeralStorage, EndDate, EndDateType,
  InstanceMatchCriteria, TagSpecifications, DryRun)

Arguments

ClientToken

Unique, case-sensitive identifier that you provide to ensure the idempotency of the request. For more information, see How to Ensure Idempotency.

Constraint: Maximum 64 ASCII characters.

InstanceType

[required] The instance type for which to reserve capacity. For more information, see Instance Types in the Amazon Elastic Compute Cloud User Guide.

InstancePlatform

[required] The type of operating system for which to reserve capacity.

AvailabilityZone

[required] The Availability Zone in which to create the Capacity Reservation.

Tenancy

Indicates the tenancy of the Capacity Reservation. A Capacity Reservation can have one of the following tenancy settings:

  • default - The Capacity Reservation is created on hardware that is shared with other AWS accounts.

  • dedicated - The Capacity Reservation is created on single-tenant hardware that is dedicated to a single AWS account.

InstanceCount

[required] The number of instances for which to reserve capacity.

EbsOptimized

Indicates whether the Capacity Reservation supports EBS-optimized instances. This optimization provides dedicated throughput to Amazon EBS and an optimized configuration stack to provide optimal I/O performance. This optimization isn't available with all instance types. Additional usage charges apply when using an EBS- optimized instance.

EphemeralStorage

Indicates whether the Capacity Reservation supports instances with temporary, block-level storage.

EndDate

The date and time at which the Capacity Reservation expires. When a Capacity Reservation expires, the reserved capacity is released and you can no longer launch instances into it. The Capacity Reservation's state changes to expired when it reaches its end date and time.

You must provide an EndDate value if EndDateType is limited. Omit EndDate if EndDateType is unlimited.

If the EndDateType is limited, the Capacity Reservation is cancelled within an hour from the specified time. For example, if you specify 5/31/2019, 13:30:55, the Capacity Reservation is guaranteed to end between 13:30:55 and 14:30:55 on 5/31/2019.

EndDateType

Indicates the way in which the Capacity Reservation ends. A Capacity Reservation can have one of the following end types:

  • unlimited - The Capacity Reservation remains active until you explicitly cancel it. Do not provide an EndDate if the EndDateType is unlimited.

  • limited - The Capacity Reservation expires automatically at a specified date and time. You must provide an EndDate value if the EndDateType value is limited.

InstanceMatchCriteria

Indicates the type of instance launches that the Capacity Reservation accepts. The options include:

  • open - The Capacity Reservation automatically matches all instances that have matching attributes (instance type, platform, and Availability Zone). Instances that have matching attributes run in the Capacity Reservation automatically without specifying any additional parameters.

  • targeted - The Capacity Reservation only accepts instances that have matching attributes (instance type, platform, and Availability Zone), and explicitly target the Capacity Reservation. This ensures that only permitted instances can use the reserved capacity.

Default: open

TagSpecifications

The tags to apply to the Capacity Reservation during launch.

DryRun

Checks whether you have the required permissions for the action, without actually making the request, and provides an error response. If you have the required permissions, the error response is DryRunOperation. Otherwise, it is UnauthorizedOperation.

Request syntax

svc$create_capacity_reservation(
  ClientToken = "string",
  InstanceType = "string",
  InstancePlatform = "Linux/UNIX"|"Red Hat Enterprise Linux"|"SUSE Linux"|"Windows"|"Windows with SQL Server"|"Windows with SQL Server Enterprise"|"Windows with SQL Server Standard"|"Windows with SQL Server Web"|"Linux with SQL Server Standard"|"Linux with SQL Server Web"|"Linux with SQL Server Enterprise",
  AvailabilityZone = "string",
  Tenancy = "default"|"dedicated",
  InstanceCount = 123,
  EbsOptimized = TRUE|FALSE,
  EphemeralStorage = TRUE|FALSE,
  EndDate = as.POSIXct(
    "2015-01-01"
  ),
  EndDateType = "unlimited"|"limited",
  InstanceMatchCriteria = "open"|"targeted",
  TagSpecifications = list(
    list(
      ResourceType = "client-vpn-endpoint"|"customer-gateway"|"dedicated-host"|"dhcp-options"|"elastic-ip"|"fleet"|"fpga-image"|"host-reservation"|"image"|"instance"|"internet-gateway"|"launch-template"|"natgateway"|"network-acl"|"network-interface"|"reserved-instances"|"route-table"|"security-group"|"snapshot"|"spot-instances-request"|"subnet"|"transit-gateway"|"transit-gateway-attachment"|"transit-gateway-route-table"|"volume"|"vpc"|"vpc-peering-connection"|"vpn-connection"|"vpn-gateway",
      Tags = list(
        list(
          Key = "string",
          Value = "string"
        )
      )
    )
  ),
  DryRun = TRUE|FALSE
)

Details

Capacity Reservations enable you to reserve capacity for your Amazon EC2 instances in a specific Availability Zone for any duration. This gives you the flexibility to selectively add capacity reservations and still get the Regional RI discounts for that usage. By creating Capacity Reservations, you ensure that you always have access to Amazon EC2 capacity when you need it, for as long as you need it. For more information, see Capacity Reservations in the Amazon Elastic Compute Cloud User Guide.

Your request to create a Capacity Reservation could fail if Amazon EC2 does not have sufficient capacity to fulfill the request. If your request fails due to Amazon EC2 capacity constraints, either try again at a later time, try in a different Availability Zone, or request a smaller capacity reservation. If your application is flexible across instance types and sizes, try to create a Capacity Reservation with different instance attributes.

Your request could also fail if the requested quantity exceeds your On-Demand Instance limit for the selected instance type. If your request fails due to limit constraints, increase your On-Demand Instance limit for the required instance type and try again. For more information about increasing your instance limits, see Amazon EC2 Service Limits in the Amazon Elastic Compute Cloud User Guide.