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com.pulumi.azure.monitoring.kotlin.outputs.DataCollectionRuleDataSourcesExtension.kt Maven / Gradle / Ivy

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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.

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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.azure.monitoring.kotlin.outputs

import kotlin.String
import kotlin.Suppress
import kotlin.collections.List

/**
 *
 * @property extensionJson A JSON String which specifies the extension setting.
 * @property extensionName The name of the VM extension.
 * @property inputDataSources Specifies a list of data sources this extension needs data from. An item should be a name of a supported data source which produces only one stream. Supported data sources type: `performance_counter`, `windows_event_log`,and `syslog`.
 * @property name 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.
 * @property streams 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-Event`, `Microsoft-InsightsMetrics`, `Microsoft-Perf`, `Microsoft-Syslog`, `Microsoft-WindowsEvent`.
 */
public data class DataCollectionRuleDataSourcesExtension(
    public val extensionJson: String? = null,
    public val extensionName: String,
    public val inputDataSources: List? = null,
    public val name: String,
    public val streams: List,
) {
    public companion object {
        public
        fun toKotlin(javaType: com.pulumi.azure.monitoring.outputs.DataCollectionRuleDataSourcesExtension):
            DataCollectionRuleDataSourcesExtension = DataCollectionRuleDataSourcesExtension(
            extensionJson = javaType.extensionJson().map({ args0 -> args0 }).orElse(null),
            extensionName = javaType.extensionName(),
            inputDataSources = javaType.inputDataSources().map({ args0 -> args0 }),
            name = javaType.name(),
            streams = javaType.streams().map({ args0 -> args0 }),
        )
    }
}




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