Overview

This page describes how to instrument your applications for both Real User Monitoring (RUM) and Error Tracking with the Kotlin Multiplatform SDK. You can follow the steps below to instrument your applications for RUM (includes Error Tracking) or Error Tracking if you have purchased it as a standalone product.

The Datadog Kotlin Multiplatform SDK supports Android 5.0+ (API level 21) and iOS v12+.

Setup

1. Declare the Datadog SDK as a dependency.
2. Add native dependencies for iOS.
3. Specify application details in the UI.
4. Initialize the Datadog SDK.
5. Enable RUM to start sending data.
6. Initialize the Ktor plugin to track network events made with Ktor.

Declare the Kotlin Multiplatform SDK as a dependency

Declare dd-sdk-kotlin-multiplatform-rum as a common source set dependency in your Kotlin Multiplatform module’s build.gradle.kts file.

kotlin {
  // declare targets
  // ...

  sourceSets {
    // ...
    commonMain.dependencies {
      implementation("com.datadoghq:dd-sdk-kotlin-multiplatform-rum:<latest_version>")
    }
  }
}

Add native dependencies for iOS

Note: Kotlin 2.0.20 or higher is required if crash tracking is enabled on iOS. Otherwise, due to the compatibility with PLCrashReporter, the application may hang if crash tracking is enabled.

Add the following Datadog iOS SDK dependencies, which are needed for the linking step:

• DatadogObjc
• DatadogCrashReporting

Note: Versions of these dependencies should be aligned with the version used by the Datadog Kotlin Multiplatform SDK itself.

Adding native iOS dependencies using the CocoaPods plugin

If you are using Kotlin Multiplatform library as a CocoaPods dependency for your iOS application, you can add dependencies as following:

cocoapods {
   // ...

   framework {
     baseName = "sharedLib"
   }

   pod("DatadogObjc") {
     linkOnly = true
     version = 2.17.0
   }

   pod("DatadogCrashReporting") {
     linkOnly = true
     version = 2.17.0
   }
}

Adding native iOS dependencies using Xcode

If you are integrating Kotlin Multiplatform library as a framework with an embedAndSignAppleFrameworkForXcode Gradle task as a part of your Xcode build, you can add the necessary dependencies directly in Xcode as following:

1. Click on your project in Xcode and go to the Package Dependencies tab.
2. Add the iOS SDK package dependency by adding https://github.com/DataDog/dd-sdk-ios.git as a package URL.
3. Select the version from the table above.
4. Click on the necessary application target and open the General tab.
5. Scroll down to the Frameworks, Libraries, and Embedded Content section and add the dependencies mentioned above.

Specify application details in the UI

To ensure the safety of your data, you must use a client token. If you use only Datadog API keys to configure the Datadog SDK, they are exposed client-side in the Android application’s APK byte code.

For more information about setting up a client token, see the Client Token documentation.

Initialize Datadog SDK

In the initialization snippet, set an environment name. For Android, set a variant name if it exists. For more information, see Using Tags.

See trackingConsent to add GDPR compliance for your EU users, and other configuration options to initialize the library.

// in common source set
fun initializeDatadog(context: Any? = null) {
    // context should be application context on Android and can be null on iOS
    val appClientToken = <CLIENT_TOKEN>
    val appEnvironment = <ENV_NAME>
    val appVariantName = <APP_VARIANT_NAME>

    val configuration = Configuration.Builder(
            clientToken = appClientToken,
            env = appEnvironment,
            variant = appVariantName
    )
        .trackCrashes(true)
        .build()

    Datadog.initialize(context, configuration, trackingConsent)
}

// in common source set
fun initializeDatadog(context: Any? = null) {
    // context should be application context on Android and can be null on iOS
    val appClientToken = <CLIENT_TOKEN>
    val appEnvironment = <ENV_NAME>
    val appVariantName = <APP_VARIANT_NAME>

    val configuration = Configuration.Builder(
            clientToken = appClientToken,
            env = appEnvironment,
            variant = appVariantName
    )
        .useSite(DatadogSite.EU1)
        .trackCrashes(true)
        .build()

    Datadog.initialize(context, configuration, trackingConsent)
}

// in common source set
fun initializeDatadog(context: Any? = null) {
    // context should be application context on Android and can be null on iOS
    val appClientToken = <CLIENT_TOKEN>
    val appEnvironment = <ENV_NAME>
    val appVariantName = <APP_VARIANT_NAME>

    val configuration = Configuration.Builder(
            clientToken = appClientToken,
            env = appEnvironment,
            variant = appVariantName
    )
        .useSite(DatadogSite.US3)
        .trackCrashes(true)
        .build()

    Datadog.initialize(context, configuration, trackingConsent)
}

// in common source set
fun initializeDatadog(context: Any? = null) {
    // context should be application context on Android and can be null on iOS
    val appClientToken = <CLIENT_TOKEN>
    val appEnvironment = <ENV_NAME>
    val appVariantName = <APP_VARIANT_NAME>

    val configuration = Configuration.Builder(
            clientToken = appClientToken,
            env = appEnvironment,
            variant = appVariantName
    )
        .useSite(DatadogSite.US5)
        .trackCrashes(true)
        .build()

    Datadog.initialize(context, configuration, trackingConsent)
}

// in common source set
fun initializeDatadog(context: Any? = null) {
    // context should be application context on Android and can be null on iOS
    val appClientToken = <CLIENT_TOKEN>
    val appEnvironment = <ENV_NAME>
    val appVariantName = <APP_VARIANT_NAME>

    val configuration = Configuration.Builder(
            clientToken = appClientToken,
            env = appEnvironment,
            variant = appVariantName
    )
        .useSite(DatadogSite.US1_FED)
        .trackCrashes(true)
        .build()

    Datadog.initialize(context, configuration, trackingConsent)
}

// in common source set
fun initializeDatadog(context: Any? = null) {
    // context should be application context on Android and can be null on iOS
    val appClientToken = <CLIENT_TOKEN>
    val appEnvironment = <ENV_NAME>
    val appVariantName = <APP_VARIANT_NAME>

    val configuration = Configuration.Builder(
            clientToken = appClientToken,
            env = appEnvironment,
            variant = appVariantName
    )
        .useSite(DatadogSite.AP1)
        .trackCrashes(true)
        .build()

    Datadog.initialize(context, configuration, trackingConsent)
}

Sample RUM sessions

To control the data your application sends to Datadog RUM, you can specify a sample rate for RUM sessions while initializing the RUM feature. The rate is a percentage between 0 and 100. By default, sessionSamplingRate is set to 100 (keep all sessions).

val rumConfig = RumConfiguration.Builder(applicationId)
        // Here 75% of the RUM sessions are sent to Datadog
        .setSessionSampleRate(75.0f)
        .build()
Rum.enable(rumConfig)

Enable RUM to start sending data

// in a common source set
fun initializeRum(applicationId: String) {
    val rumConfiguration = RumConfiguration.Builder(applicationId)
            .trackLongTasks(durationThreshold)
            .apply {
                // platform specific setup
                rumPlatformSetup(this)
            }
            .build()

    Rum.enable(rumConfiguration)
}

internal expect fun rumPlatformSetup(rumConfigurationBuilder: RumConfiguration.Builder)

// in iOS source set
internal actual fun rumPlatformSetup(rumConfigurationBuilder: RumConfiguration.Builder) {
    with(rumConfigurationBuilder) {
        trackUiKitViews()
        trackUiKitActions()
        // check more iOS-specific methods
    }
}

// in Android source set
internal actual fun rumPlatformSetup(rumConfigurationBuilder: RumConfiguration.Builder) {
    with(rumConfigurationBuilder) {
        useViewTrackingStrategy(/** choose view tracking strategy **/)
        trackUserInteractions()
        // check more Android-specific methods
    }
}

See Automatically track views to enable automatic tracking of all your views.

Set tracking consent (GDPR compliance)

To be compliant with GDPR, the SDK requires the tracking consent value at initialization. Tracking consent can be one of the following values:

• TrackingConsent.PENDING: (Default) The SDK starts collecting and batching the data but does not send it to the collection endpoint. The SDK waits for the new tracking consent value to decide what to do with the batched data.
• TrackingConsent.GRANTED: The SDK starts collecting the data and sends it to the data collection endpoint.
• TrackingConsent.NOT_GRANTED: The SDK does not collect any data. You are not able to manually send any logs, traces, or RUM events.

To update the tracking consent after the SDK is initialized, call Datadog.setTrackingConsent(<NEW CONSENT>). The SDK changes its behavior according to the new consent. For example, if the current tracking consent is TrackingConsent.PENDING and you update it to:

• TrackingConsent.GRANTED: The SDK sends all current batched data and future data directly to the data collection endpoint.
• TrackingConsent.NOT_GRANTED: The SDK wipes all batched data and does not collect any future data.

Initialize the RUM Ktor plugin to track network events made with Ktor

1. Add the Gradle dependency to the dd-sdk-kotlin-multiplatform-ktor library in the your build.gradle.kts file:

kotlin {
    // ...
    sourceSets {
        // ...
        commonMain.dependencies {
            implementation("com.datadoghq:dd-sdk-kotlin-multiplatform-ktor:x.x.x")
        }
    }
}

2. To track your Ktor requests as resources, add the provided Datadog Ktor plugin:

val ktorClient = HttpClient {
    install(
        datadogKtorPlugin(
            tracedHosts = mapOf(
                "example.com" to setOf(TracingHeaderType.DATADOG),
                "example.eu" to setOf(TracingHeaderType.DATADOG)
            ),
            traceSamplingRate = 100f
        )
    )
}

This records each request processed by the HttpClient as a resource in RUM, with all the relevant information automatically filled (URL, method, status code, and error). Only the network requests that started when a view is active are tracked. To track requests when your application is in the background, create a view manually or enable background view tracking.

Track background events

You can track events such as crashes and network requests when your application is in the background (for example, no active view is available).

Add the following snippet during RUM configuration:

.trackBackgroundEvents(true)

Track errors

Kotlin Multiplatform Crash Reporting and Error Tracking displays any issues in your application and the latest available errors. You can view error details and attributes including JSON in the RUM Explorer.

Sending data when device is offline

RUM ensures availability of data when your user device is offline. In case of low-network areas, or when the device battery is too low, all the RUM events are first stored on the local device in batches.

Each batch follows the intake specification. They are sent as soon as the network is available, and the battery is high enough to ensure the Datadog SDK does not impact the end user’s experience. If the network is not available while your application is in the foreground, or if an upload of data fails, the batch is kept until it can be sent successfully.

This means that even if users open your application while offline, no data is lost. To ensure the SDK does not use too much disk space, the data on the disk is automatically discarded if it gets too old.

Further Reading

추가 유용한 문서, 링크 및 기사:

Source code for dd-sdk-kotlin-multiplatformSOURCE CODE Learn how to explore your RUM dataDOCUMENTATION