pulumi-azure-kotlin/com.pulumi.azure.monitoring.kotlin.inputs/DataCollectionRuleDataSourcesPerformanceCounterArgs

DataCollectionRuleDataSourcesPerformanceCounterArgs

data class DataCollectionRuleDataSourcesPerformanceCounterArgs(val counterSpecifiers: Output<List<String>>, val name: Output<String>, val samplingFrequencyInSeconds: Output<Int>, val streams: Output<List<String>>) : ConvertibleToJava<DataCollectionRuleDataSourcesPerformanceCounterArgs>

Constructors

fun DataCollectionRuleDataSourcesPerformanceCounterArgs(counterSpecifiers: Output<List<String>>, name: Output<String>, samplingFrequencyInSeconds: Output<Int>, streams: Output<List<String>>)

Functions

toJava

open override fun toJava(): DataCollectionRuleDataSourcesPerformanceCounterArgs

Properties

counterSpecifiers

val counterSpecifiers: Output<List<String>>

Specifies a list of specifier names of the performance counters you want to collect. To get a list of performance counters on Windows, run the command typeperf. Please see this document for more information.

name

val name: Output<String>

The name which should be used for this data source. This name should be unique across all data sources regardless of type within the Data Collection Rule.

samplingFrequencyInSeconds

val samplingFrequencyInSeconds: Output<Int>

The number of seconds between consecutive counter measurements (samples). The value should be integer between 1 and 300 inclusive. sampling_frequency_in_seconds must be equal to 60 seconds for counters collected with Microsoft-InsightsMetrics stream.

streams

val streams: Output<List<String>>

Specifies a list of streams that this data source will be sent to. A stream indicates what schema will be used for this data and usually what table in Log Analytics the data will be sent to. Possible values include but not limited to Microsoft-InsightsMetrics,and Microsoft-Perf.