paws (version 0.1.12)

pi: AWS Performance Insights

Description

Amazon RDS Performance Insights

Amazon RDS Performance Insights enables you to monitor and explore different dimensions of database load based on data captured from a running DB instance. The guide provides detailed information about Performance Insights data types, parameters and errors.

When Performance Insights is enabled, the Amazon RDS Performance Insights API provides visibility into the performance of your DB instance. Amazon CloudWatch provides the authoritative source for AWS service-vended monitoring metrics. Performance Insights offers a domain-specific view of DB load.

DB load is measured as Average Active Sessions. Performance Insights provides the data to API consumers as a two-dimensional time-series dataset. The time dimension provides DB load data for each time point in the queried time range. Each time point decomposes overall load in relation to the requested dimensions, measured at that time point. Examples include SQL, Wait event, User, and Host.

• To learn more about Performance Insights and Amazon Aurora DB instances, go to the Amazon Aurora User Guide.

• To learn more about Performance Insights and Amazon RDS DB instances, go to the Amazon RDS User Guide.

Usage

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

Operations

describe_dimension_keys	For a specific time period, retrieve the top N dimension keys for a metric
get_resource_metrics	Retrieve Performance Insights metrics for a set of data sources, over a time period

Examples

if (FALSE) {
svc <- pi()
svc$describe_dimension_keys(
  Foo = 123
)
}