Overview

This page describes how to instrument your applications for both Real User Monitoring (RUM) or Error Tracking with the Android 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 Android SDK supports Android 5.0+ (API level 21) and Android TV.

Setup

To start sending RUM or Error Tracking data from your Android or Android TV application to Datadog:

Step 1 - Declare the Android SDK as a dependency

Declare dd-sdk-android-rum and the Gradle plugin as dependencies in your application module’s build.gradle file.

buildscript {
    dependencies {
        classpath("com.datadoghq:dd-sdk-android-gradle-plugin:x.x.x")
    }
}
plugins {
    id("com.datadoghq.dd-sdk-android-gradle-plugin")
    //(...)
}
android {
    //(...)
}
dependencies {
    implementation "com.datadoghq:dd-sdk-android-rum:x.x.x" 
    //(...)
}

Step 2 - Specify application details in the UI

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

Step 3 - Initialize the Datadog SDK with application context

Update the initialization snippet

In the initialization snippet, set an environment name, service name, and version number. In the examples below, APP_VARIANT_NAME specifies the variant of the application that generates data. For more information, see Using Tags.

During initialization, you can also set the sample rate (RUM sessions) and set the tracking consent for GDPR compliance, as described below. See other configuration options to initialize the library.

class SampleApplication : Application() {
    override fun onCreate() {
        super.onCreate()
        val configuration = Configuration.Builder(
            clientToken = <CLIENT_TOKEN>,
            env = <ENV_NAME>,
            variant = <APP_VARIANT_NAME>
        ).build()
        Datadog.initialize(this, configuration, trackingConsent)
    }
}

public class SampleApplication extends Application {
    @Override
    public void onCreate() {
        super.onCreate();
        Configuration configuration =
                new Configuration.Builder(<CLIENT_TOKEN>, <ENV_NAME>, <APP_VARIANT_NAME>)
                        .build();
        Datadog.initialize(this, configuration, trackingConsent);
    }
}

class SampleApplication : Application() {
    override fun onCreate() {
        super.onCreate()
        val configuration = Configuration.Builder(
                clientToken = <CLIENT_TOKEN>,
                env = <ENV_NAME>,
                variant = <APP_VARIANT_NAME>
            )
            .useSite(DatadogSite.EU1)
            .build()
        Datadog.initialize(this, configuration, trackingConsent)
    }
}

public class SampleApplication extends Application {
    @Override
    public void onCreate() {
        super.onCreate();
        Configuration configuration =
                new Configuration.Builder(<CLIENT_TOKEN>, <ENV_NAME>, <APP_VARIANT_NAME>)
                        .useSite(DatadogSite.EU1)
                        .build();
        Datadog.initialize(this, configuration, trackingConsent);
    }
}

class SampleApplication : Application() {
    override fun onCreate() {
        super.onCreate()
        val configuration = Configuration.Builder(
                clientToken = <CLIENT_TOKEN>,
                env = <ENV_NAME>,
                variant = <APP_VARIANT_NAME>
            )
            .useSite(DatadogSite.US3)
            .build()
        Datadog.initialize(this, configuration, trackingConsent)
    }
}

public class SampleApplication extends Application {
    @Override
    public void onCreate() {
        super.onCreate();
        Configuration configuration =
                new Configuration.Builder(<CLIENT_TOKEN>, <ENV_NAME>, <APP_VARIANT_NAME>)
                        .useSite(DatadogSite.US3)
                        .build();
        Datadog.initialize(this, configuration, trackingConsent);
    }
}

class SampleApplication : Application() {
    override fun onCreate() {
        super.onCreate()
        val configuration = Configuration.Builder(
                clientToken = <CLIENT_TOKEN>,
                env = <ENV_NAME>,
                variant = <APP_VARIANT_NAME>
            )
            .useSite(DatadogSite.US5)
            .build()
        Datadog.initialize(this, configuration, trackingConsent)
    }
}

public class SampleApplication extends Application {
    @Override
    public void onCreate() {
        super.onCreate();
        Configuration configuration =
                new Configuration.Builder(<CLIENT_TOKEN>, <ENV_NAME>, <APP_VARIANT_NAME>)
                        .useSite(DatadogSite.US5)
                        .build();
        Datadog.initialize(this, configuration, trackingConsent);
    }
}

class SampleApplication : Application() {
    override fun onCreate() {
        super.onCreate()
        val configuration = Configuration.Builder(
                clientToken = <CLIENT_TOKEN>,
                env = <ENV_NAME>,
                variant = <APP_VARIANT_NAME>
            )
            .useSite(DatadogSite.US1_FED)
            .build()
        Datadog.initialize(this, configuration, trackingConsent)
    }
}

public class SampleApplication extends Application {
    @Override
    public void onCreate() {
        super.onCreate();
        Configuration configuration =
                new Configuration.Builder(<CLIENT_TOKEN>, <ENV_NAME>, <APP_VARIANT_NAME>)
                        .useSite(DatadogSite.US1_FED)
                        .build();
        Datadog.initialize(this, configuration, trackingConsent);
    }
}

class SampleApplication : Application() {
    override fun onCreate() {
        super.onCreate()
        val configuration = Configuration.Builder(
                clientToken = <CLIENT_TOKEN>,
                env = <ENV_NAME>,
                variant = <APP_VARIANT_NAME>
            )
            .useSite(DatadogSite.AP1)
            .build()
        Datadog.initialize(this, configuration, trackingConsent)
    }
}

public class SampleApplication extends Application {
    @Override
    public void onCreate() {
        super.onCreate();
        Configuration configuration =
                new Configuration.Builder(<CLIENT_TOKEN>, <ENV_NAME>, <APP_VARIANT_NAME>)
                        .useSite(DatadogSite.AP1)
                        .build();
        Datadog.initialize(this, configuration, trackingConsent);
    }
}

The initialization credentials require your application’s variant name and use the value of BuildConfig.FLAVOR. With the variant, the SDK can match the errors reported from your application to the mapping files uploaded by the Gradle plugin. If you do not have variants, the credentials use an empty string.

The Gradle plugin automatically uploads the appropriate ProGuard mapping.txt file at build time so you can view deobfuscated error stack traces. For more information, see the Track Android Errors.

Sample session rates

To control the data your application sends to Datadog, you can specify a sample rate for sessions when initializing RUM. The sample 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)

Set tracking consent (GDPR compliance)

To be compliant with the GDPR regulation, the SDK requires the tracking consent value upon 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 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.

Step 4 - Enable the feature to start sending data

To enable the Android SDK to start sending data:

    val rumConfig = RumConfiguration.Builder(applicationId)
      .trackInteractions()
      .trackLongTasks(durationThreshold) // Not applicable to Error Tracking
      .useViewTrackingStrategy(strategy)
      .build()
    Rum.enable(rumConfig)

    RumConfiguration rumConfig = new RumConfiguration.Builder(applicationId)
      .trackInteractions()
      .trackLongTasks(durationThreshold) // Not applicable to Error Tracking
      .useViewTrackingStrategy(strategy)
      .build();
    Rum.enable(rumConfig);

See ViewTrackingStrategy to enable automatic tracking of all your views (activities, fragments, and more).

Step 5 - Initialize the Interceptor to track network events

To initialize an interceptor for tracking network events:

1. For distributed tracing, add and enable the Trace feature.

2. Add the Gradle dependency to the dd-sdk-android-okhttp library in the module-level build.gradle file:

   dependencies {
       implementation "com.datadoghq:dd-sdk-android-okhttp:x.x.x"
   }
   

3. To track your OkHttp requests as resources, add the provided Interceptor:

val tracedHostsWithHeaderType = mapOf(
    "example.com" to setOf(
        TracingHeaderType.DATADOG,
        TracingHeaderType.TRACECONTEXT),
    "example.eu" to  setOf(
        TracingHeaderType.DATADOG,
        TracingHeaderType.TRACECONTEXT))
val okHttpClient = OkHttpClient.Builder()
    .addInterceptor(DatadogInterceptor.Builder(tracedHostsWithHeaderType).build())
    .build()

final Map<String, Set<TracingHeaderType>> tracedHostsWithHeaderType = new HashMap<>();
final Set<TracingHeaderType> datadogAndW3HeadersTypes = new HashSet<>(Arrays.asList(TracingHeaderType.DATADOG, TracingHeaderType.TRACECONTEXT));
tracedHostsWithHeaderType.put("example.com", datadogAndW3HeadersTypes);
tracedHostsWithHeaderType.put("example.eu", datadogAndW3HeadersTypes);
OkHttpClient okHttpClient = new OkHttpClient.Builder()
    .addInterceptor(new DatadogInterceptor.Builder(tracedHostsWithHeaderType).build())
    .build();

This records each request processed by the OkHttpClient as a resource, with all the relevant information (URL, method, status code, and error) automatically filled in. 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.

Note: If you also use multiple Interceptors, add DatadogInterceptor first.

You can also add an EventListener for the OkHttpClient to automatically track resource timing for third-party providers and network requests.

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 configuration:

.trackBackgroundEvents(true)

.trackBackgroundEvents(true)

Sending data when device is offline

The Android SDK 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 events are first stored on the local device in batches.

Each batch follows the intake specification. Batches 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.

Kotlin Extensions

Closeable extension

You can monitor Closeable instance usage with the useMonitored method, which reports errors to Datadog and closes the resource afterwards.

val closeable: Closeable = ...
closeable.useMonitored {
    // Your code here
}

Track local assets as resources

You can track access to the assets by using getAssetAsRumResource extension method:

val inputStream = context.getAssetAsRumResource(fileName)

Usage of the local resources can be tracked by using getRawResAsRumResource extension method:

val inputStream = context.getRawResAsRumResource(id)

Further Reading

Más enlaces, artículos y documentación útiles:

RUM Android Advanced ConfigurationDOCUMENTATION Source code for dd-sdk-androidSOURCE CODE Explore Datadog RUMDOCUMENTATION