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Demo of a video streaming application to explore Datadog's Real User Monitoring (RUM) with logs and traces correlation.

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Demo RUM Video Streaming

This repository contains a demo of a video streaming application to explore Datadog's Real User Monitoring (RUM) with logs and traces correlation.

Application Stack

  • Frontend using React with TypeScript
  • Backend using Go with Fiber
  • Streaming service using Mux

Requirements

Environment variables:

  • DD_API_KEY
  • DD_SITE
  • MUX_TOKEN_ID
  • MUX_TOKEN_SECRET
  • VITE_APP_DD_APP_ID
  • VITE_APP_DD_CLIENT_TOKEN

VITE_APP_* variables are expected in a .env.production for the build. See .env.example.

VITE_APP_DD_APP_ID is the applicationId for Datadog RUM. VITE_APP_DD_CLIENT_TOKEN is the clientToken for Datadog RUM.

Both information comes from the setup.

Usage

Once the environment variables are setup, run a docker compose build. If the build goes fine, you can run docker compose up -d and go to http://localhost:8000.

/login

You will find a fake login page where you can use any username. It will generate a user ID using the md5 hash of the username. The user ID is then used for telemetry data sent to Datadog (e.g. logs, traces or RUM sessions).

/home

Once you're identified, you will be redirected to the /home page that will call the backend on /videos to finally call Mux APIs to fetch the list of assets uploaded to the platform.

/streaming

When you click on the title of one of the videos, you will be redirected to the /streaming page which contains URL parameters used in the <MuxPlayer /> React component from Mux. See Advanced usage of Mux Player for how to leverage custom events, and see Mux Player API Reference for the full list of events available.

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Demo of a video streaming application to explore Datadog's Real User Monitoring (RUM) with logs and traces correlation.

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