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Read the full article on GamingOnLinux.
Quand on développe et distribue des applications open-source auto-hébergées, il y a une question très simple à laquelle il est presque impossible de répondre :
Combien d’instances actives de mon application sont réellement utilisées ?
C’est exactement le problème que j’ai rencontré avec Ackify, une application open-source de preuve de lecture de documents (politiques internes, procédures, formations, etc.), déployée en self-hosted par ses utilisateurs - sans que j'ai le moindre contrôle dessus.
Pas de SaaS, pas de compte centralisé, pas de tracking utilisateur.
Résultat : zéro visibilité.
👉 Combien d’instances Ackify tournent vraiment ?
👉 Quelles versions sont encore actives ?
👉 Quelles fonctionnalités sont utilisées (ou pas) ?
C’est pour répondre à ce besoin très concret que j’ai créé SHM – Self-Hosted Metrics.
SHM est un serveur de télémétrie privacy-first, conçu spécifiquement pour les applications self-hosted open-source.
L’idée est simple :
Juste ce qu’il faut pour comprendre l’usage réel d’un logiciel déployé “dans la nature”.
Contrairement à beaucoup d’outils existants, SHM n’impose aucun schéma.
Tu envoies :
Connexion
{
"documents_created": 123,
"active_users": 42,
"webhooks_sent": 9
}➡️ le dashboard s’adapte automatiquement :
Aucun frontend à recompiler, aucune migration à écrire.
Ackify est l’application qui a déclenché tout ça :
SHM est désormais utilisé pour répondre à des questions très simples :
docker compose
Le projet est encore très jeune (MVP), mais fonctionnel et déjà utilisé en conditions réelles.
Les retours, critiques et idées sont évidemment bienvenus 🙂
Chaque instance :
C’était non négociable.
SHM :
C’est au mainteneur du logiciel de décider quelles métriques exposer, et à l’utilisateur final de pouvoir désactiver la télémétrie.
Commentaires : voir le flux Atom ouvrir dans le navigateur
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