Nothing
# This file is generated by make.paws. Please do not edit here.
#' @importFrom paws.common new_handlers new_service set_config merge_config
NULL
#' Application Auto Scaling
#'
#' @description
#' With Application Auto Scaling, you can configure automatic scaling for
#' the following resources:
#'
#' - Amazon AppStream 2.0 fleets
#'
#' - Amazon Aurora Replicas
#'
#' - Amazon Comprehend document classification and entity recognizer
#' endpoints
#'
#' - Amazon DynamoDB tables and global secondary indexes throughput
#' capacity
#'
#' - Amazon ECS services
#'
#' - Amazon ElastiCache for Redis clusters (replication groups)
#'
#' - Amazon EMR clusters
#'
#' - Amazon Keyspaces (for Apache Cassandra) tables
#'
#' - Lambda function provisioned concurrency
#'
#' - Amazon Managed Streaming for Apache Kafka broker storage
#'
#' - Amazon Neptune clusters
#'
#' - Amazon SageMaker endpoint variants
#'
#' - Amazon SageMaker inference components
#'
#' - Amazon SageMaker serverless endpoint provisioned concurrency
#'
#' - Spot Fleets (Amazon EC2)
#'
#' - Pool of WorkSpaces
#'
#' - Custom resources provided by your own applications or services
#'
#' To learn more about Application Auto Scaling, see the [Application Auto
#' Scaling User
#' Guide](https://docs.aws.amazon.com/autoscaling/application/userguide/what-is-application-auto-scaling.html).
#'
#' **API Summary**
#'
#' The Application Auto Scaling service API includes three key sets of
#' actions:
#'
#' - Register and manage scalable targets - Register Amazon Web Services
#' or custom resources as scalable targets (a resource that Application
#' Auto Scaling can scale), set minimum and maximum capacity limits,
#' and retrieve information on existing scalable targets.
#'
#' - Configure and manage automatic scaling - Define scaling policies to
#' dynamically scale your resources in response to CloudWatch alarms,
#' schedule one-time or recurring scaling actions, and retrieve your
#' recent scaling activity history.
#'
#' - Suspend and resume scaling - Temporarily suspend and later resume
#' automatic scaling by calling the
#' [`register_scalable_target`][applicationautoscaling_register_scalable_target]
#' API action for any Application Auto Scaling scalable target. You can
#' suspend and resume (individually or in combination) scale-out
#' activities that are triggered by a scaling policy, scale-in
#' activities that are triggered by a scaling policy, and scheduled
#' scaling.
#'
#' @param
#' config
#' Optional configuration of credentials, endpoint, and/or region.
#' \itemize{
#' \item{\strong{credentials}: \itemize{
#' \item{\strong{creds}: \itemize{
#' \item{\strong{access_key_id}: AWS access key ID}
#' \item{\strong{secret_access_key}: AWS secret access key}
#' \item{\strong{session_token}: AWS temporary session token}
#' }}
#' \item{\strong{profile}: The name of a profile to use. If not given, then the default profile is used.}
#' \item{\strong{anonymous}: Set anonymous credentials.}
#' }}
#' \item{\strong{endpoint}: The complete URL to use for the constructed client.}
#' \item{\strong{region}: The AWS Region used in instantiating the client.}
#' \item{\strong{close_connection}: Immediately close all HTTP connections.}
#' \item{\strong{timeout}: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.}
#' \item{\strong{s3_force_path_style}: Set this to `true` to force the request to use path-style addressing, i.e. `http://s3.amazonaws.com/BUCKET/KEY`.}
#' \item{\strong{sts_regional_endpoint}: Set sts regional endpoint resolver to regional or legacy \url{https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html}}
#' }
#' @param
#' credentials
#' Optional credentials shorthand for the config parameter
#' \itemize{
#' \item{\strong{creds}: \itemize{
#' \item{\strong{access_key_id}: AWS access key ID}
#' \item{\strong{secret_access_key}: AWS secret access key}
#' \item{\strong{session_token}: AWS temporary session token}
#' }}
#' \item{\strong{profile}: The name of a profile to use. If not given, then the default profile is used.}
#' \item{\strong{anonymous}: Set anonymous credentials.}
#' }
#' @param
#' endpoint
#' Optional shorthand for complete URL to use for the constructed client.
#' @param
#' region
#' Optional shorthand for AWS Region used in instantiating the client.
#'
#' @section Service syntax:
#' ```
#' svc <- applicationautoscaling(
#' config = list(
#' credentials = list(
#' creds = list(
#' access_key_id = "string",
#' secret_access_key = "string",
#' session_token = "string"
#' ),
#' profile = "string",
#' anonymous = "logical"
#' ),
#' endpoint = "string",
#' region = "string",
#' close_connection = "logical",
#' timeout = "numeric",
#' s3_force_path_style = "logical",
#' sts_regional_endpoint = "string"
#' ),
#' credentials = list(
#' creds = list(
#' access_key_id = "string",
#' secret_access_key = "string",
#' session_token = "string"
#' ),
#' profile = "string",
#' anonymous = "logical"
#' ),
#' endpoint = "string",
#' region = "string"
#' )
#' ```
#'
#' @examples
#' \dontrun{
#' svc <- applicationautoscaling()
#' # This example deletes a scaling policy for the Amazon ECS service called
#' # web-app, which is running in the default cluster.
#' svc$delete_scaling_policy(
#' PolicyName = "web-app-cpu-lt-25",
#' ResourceId = "service/default/web-app",
#' ScalableDimension = "ecs:service:DesiredCount",
#' ServiceNamespace = "ecs"
#' )
#' }
#'
#' @section Operations:
#' \tabular{ll}{
#' \link[=applicationautoscaling_delete_scaling_policy]{delete_scaling_policy} \tab Deletes the specified scaling policy for an Application Auto Scaling scalable target\cr
#' \link[=applicationautoscaling_delete_scheduled_action]{delete_scheduled_action} \tab Deletes the specified scheduled action for an Application Auto Scaling scalable target\cr
#' \link[=applicationautoscaling_deregister_scalable_target]{deregister_scalable_target} \tab Deregisters an Application Auto Scaling scalable target when you have finished using it\cr
#' \link[=applicationautoscaling_describe_scalable_targets]{describe_scalable_targets} \tab Gets information about the scalable targets in the specified namespace\cr
#' \link[=applicationautoscaling_describe_scaling_activities]{describe_scaling_activities} \tab Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks\cr
#' \link[=applicationautoscaling_describe_scaling_policies]{describe_scaling_policies} \tab Describes the Application Auto Scaling scaling policies for the specified service namespace\cr
#' \link[=applicationautoscaling_describe_scheduled_actions]{describe_scheduled_actions} \tab Describes the Application Auto Scaling scheduled actions for the specified service namespace\cr
#' \link[=applicationautoscaling_list_tags_for_resource]{list_tags_for_resource} \tab Returns all the tags on the specified Application Auto Scaling scalable target\cr
#' \link[=applicationautoscaling_put_scaling_policy]{put_scaling_policy} \tab Creates or updates a scaling policy for an Application Auto Scaling scalable target\cr
#' \link[=applicationautoscaling_put_scheduled_action]{put_scheduled_action} \tab Creates or updates a scheduled action for an Application Auto Scaling scalable target\cr
#' \link[=applicationautoscaling_register_scalable_target]{register_scalable_target} \tab Registers or updates a scalable target, which is the resource that you want to scale\cr
#' \link[=applicationautoscaling_tag_resource]{tag_resource} \tab Adds or edits tags on an Application Auto Scaling scalable target\cr
#' \link[=applicationautoscaling_untag_resource]{untag_resource} \tab Deletes tags from an Application Auto Scaling scalable target
#' }
#'
#' @return
#' A client for the service. You can call the service's operations using
#' syntax like `svc$operation(...)`, where `svc` is the name you've assigned
#' to the client. The available operations are listed in the
#' Operations section.
#'
#' @rdname applicationautoscaling
#' @export
applicationautoscaling <- function(config = list(), credentials = list(), endpoint = NULL, region = NULL) {
config <- merge_config(
config,
list(
credentials = credentials,
endpoint = endpoint,
region = region
)
)
svc <- .applicationautoscaling$operations
svc <- set_config(svc, config)
return(svc)
}
# Private API objects: metadata, handlers, interfaces, etc.
.applicationautoscaling <- list()
.applicationautoscaling$operations <- list()
.applicationautoscaling$metadata <- list(
service_name = "autoscaling",
endpoints = list("*" = list(endpoint = "application-autoscaling.{region}.amazonaws.com", global = FALSE), "cn-*" = list(endpoint = "application-autoscaling.{region}.amazonaws.com.cn", global = FALSE), "eu-isoe-*" = list(endpoint = "application-autoscaling.{region}.cloud.adc-e.uk", global = FALSE), "us-iso-*" = list(endpoint = "application-autoscaling.{region}.c2s.ic.gov", global = FALSE), "us-isob-*" = list(endpoint = "application-autoscaling.{region}.sc2s.sgov.gov", global = FALSE), "us-isof-*" = list(endpoint = "application-autoscaling.{region}.csp.hci.ic.gov", global = FALSE)),
service_id = "Application Auto Scaling",
api_version = "2016-02-06",
signing_name = "application-autoscaling",
json_version = "1.1",
target_prefix = "AnyScaleFrontendService"
)
.applicationautoscaling$service <- function(config = list(), op = NULL) {
handlers <- new_handlers("jsonrpc", "v4")
new_service(.applicationautoscaling$metadata, handlers, config, op)
}
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.