Roku

Overview

With the Datadog Roku integration , you can spend less time triaging issues and more time releasing new features by:

Debugging the root cause of slow performance issues and application crashes, network requests, or large media files
Improving application responsiveness, setting up service level indicators (SLIs), and diagnosing issues with out-of-the-box dashboards and real-time metrics
Intelligently grouping high-volume application errors into a manageable set of unique issues

Correlate the impact of the user experience on your business by:

Analyzing critical user experience data such as screen engagement by demographics, version releases, or any custom attributes, to reach your business KPIs
Understanding user behavior trends with customizable analytics and geographical maps

Monitor the end-to-end health of your application by:

Pivoting from your user experience data to backend traces, runtime metrics, and logs for the complete context when investigating issues
Debugging crashes faster by unifying client-side and server-side metrics, traces, and logs
Unifying full-stack monitoring in a single platform for frontend and backend teams

To start collecting Real User Monitoring events from your application, see Roku Monitoring . Additionally, you can Connect RUM and Traces .

To start forwarding your Roku application’s logs to Datadog, see Roku Log Collection .

The Roku integration does not include any metrics. To generate custom metrics from your RUM application, see Generate Metrics .

For more information about events and attributes, see RUM Roku Data Collected .

The Roku integration does not include any service checks.

Need help? Contact Datadog Support .