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Data Collection Microservice project for third semester at University of Southern Denmark

This project was developed during the third semester on the bachelors of Software Engineering. This solutions was a part of a distributed system. The responsibility of this service, was the collection of direct and indirect user data generated on a music streaming service that should handle up to +1million users. Tools used in this project:

  • Python Flask Web Server for the Web API for communicating with other services.
  • ElasticSearch for storing behavioural data about the user.
  • Fluentd for gathering logs from the the different services running on the Kubernetes cluster
  • Kibana for visualizing business metrics about our users.
  • MongoDB for storing direct user information such as emails, names etc.
  • Docker for containerizing our applications
  • Kubernetes

The wiki can be accessed via this link: Wiki

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