Learn R Programming

paws (version 0.1.12)

cloudwatch: Amazon CloudWatch

Description

Amazon CloudWatch monitors your Amazon Web Services (AWS) resources and the applications you run on AWS in real time. You can use CloudWatch to collect and track metrics, which are the variables you want to measure for your resources and applications.

CloudWatch alarms send notifications or automatically change the resources you are monitoring based on rules that you define. For example, you can monitor the CPU usage and disk reads and writes of your Amazon EC2 instances. Then, use this data to determine whether you should launch additional instances to handle increased load. You can also use this data to stop under-used instances to save money.

In addition to monitoring the built-in metrics that come with AWS, you can monitor your own custom metrics. With CloudWatch, you gain system-wide visibility into resource utilization, application performance, and operational health.

Usage

cloudwatch(config = list())

Value

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.

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

Service syntax

svc <- cloudwatch(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string"
    ),
    endpoint = "string",
    region = "string"
  )
)

Operations

delete_alarmsDeletes the specified alarms
delete_anomaly_detectorDeletes the specified anomaly detection model from your account
delete_dashboardsDeletes all dashboards that you specify
delete_insight_rulesPermanently deletes the specified Contributor Insights rules
describe_alarm_historyRetrieves the history for the specified alarm
describe_alarmsRetrieves the specified alarms
describe_alarms_for_metricRetrieves the alarms for the specified metric
describe_anomaly_detectorsLists the anomaly detection models that you have created in your account
describe_insight_rulesReturns a list of all the Contributor Insights rules in your account
disable_alarm_actionsDisables the actions for the specified alarms
disable_insight_rulesDisables the specified Contributor Insights rules
enable_alarm_actionsEnables the actions for the specified alarms
enable_insight_rulesEnables the specified Contributor Insights rules
get_dashboardDisplays the details of the dashboard that you specify
get_insight_rule_reportThis operation returns the time series data collected by a Contributor Insights rule
get_metric_dataYou can use the GetMetricData API to retrieve as many as 500 different metrics in a single request, with a total of as many as 100,800 data points
get_metric_statisticsGets statistics for the specified metric
get_metric_widget_imageYou can use the GetMetricWidgetImage API to retrieve a snapshot graph of one or more Amazon CloudWatch metrics as a bitmap image
list_dashboardsReturns a list of the dashboards for your account
list_metricsList the specified metrics
list_tags_for_resourceDisplays the tags associated with a CloudWatch resource
put_anomaly_detectorCreates an anomaly detection model for a CloudWatch metric
put_composite_alarmCreates or updates a composite alarm
put_dashboardCreates a dashboard if it does not already exist, or updates an existing dashboard
put_insight_ruleCreates a Contributor Insights rule
put_metric_alarmCreates or updates an alarm and associates it with the specified metric, metric math expression, or anomaly detection model
put_metric_dataPublishes metric data points to Amazon CloudWatch
set_alarm_stateTemporarily sets the state of an alarm for testing purposes
tag_resourceAssigns one or more tags (key-value pairs) to the specified CloudWatch resource
untag_resourceRemoves one or more tags from the specified resource

Examples

Run this code
if (FALSE) {
svc <- cloudwatch()
svc$delete_alarms(
  Foo = 123
)
}

Run the code above in your browser using DataLab