pulumi-azure-native-kotlin/com.pulumi.azurenative.insights.kotlin.inputs/PerfCounterDataSourceArgs

PerfCounterDataSourceArgs

data class PerfCounterDataSourceArgs(val counterSpecifiers: Output<List<String>>? = null, val name: Output<String>? = null, val samplingFrequencyInSeconds: Output<Int>? = null, val streams: Output<List<Either<String, KnownPerfCounterDataSourceStreams>>>? = null) : ConvertibleToJava<PerfCounterDataSourceArgs>

Definition of which performance counters will be collected and how they will be collected by this data collection rule. Collected from both Windows and Linux machines where the counter is present.

Constructors

constructor(counterSpecifiers: Output<List<String>>? = null, name: Output<String>? = null, samplingFrequencyInSeconds: Output<Int>? = null, streams: Output<List<Either<String, KnownPerfCounterDataSourceStreams>>>? = null)

Properties

counterSpecifiers

val counterSpecifiers: Output<List<String>>? = null

A list of specifier names of the performance counters you want to collect. Use a wildcard (*) to collect a counter for all instances. To get a list of performance counters on Windows, run the command 'typeperf'.

name

val name: Output<String>? = null

A friendly name for the data source. This name should be unique across all data sources (regardless of type) within the data collection rule.

samplingFrequencyInSeconds

val samplingFrequencyInSeconds: Output<Int>? = null

The number of seconds between consecutive counter measurements (samples).

streams

val streams: Output<List<Either<String, KnownPerfCounterDataSourceStreams>>>? = null

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.

Functions

toJava

open override fun toJava(): PerfCounterDataSourceArgs