ComputerScienceHouse / ComputerScienceHouse/gallery
Track usage with Datadog RUM
- Langage dominant
- Python
- Étoiles
- 22
- Forks
- 30
- Merge moyen
- 2 h 26 min
- PR mergées (30 j)
- 1
Description
Replace Google analytics with Datadog RUM
See https://www.datadoghq.com/rum/ for a description
Follow the setup guide: https://docs.datadoghq.com/real_user_monitoring/installation/?tab=us
Make sure to include information about logged in users, for example
```javascript
datadogRum.addRumGlobalContext('usr', { // usr as defined in the datadog naming guide https://docs.datadoghq.com/logs/processing/attributes_naming_convention/#user-related-attributes
uid: username,
groups: groups // If available
});
```
Reach out to an RTP for client and application tokens
Guide de contribution
Aucun guide de contribution indexé pour ce dépôt
Piste de recherche
Start by locating the existing Google Analytics integration in the gallery repository and review how the Flask application exposes the logged-in username and groups. Follow the Datadog RUM installation guide, coordinate with an RTP for the client and application tokens, and consider the work done when Google Analytics is replaced and the requested logged-in-user context is included.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- javascript, python
- Domaine
- analytics, observability
- Type d'issue
- Fonctionnalité
- Difficulté
- 4/5
- Temps estimé
- 3-5 jours
- Activité
- À l'abandon
- Clarté
- Plutôt claire
- Accessibilité débutants
- 35/100