A service centre of 9 people
1 Project Manager
4 Developers (including 1 lead)
4 DevOps (including 1 lead)
Java, Spark, Tenserflow, HDFS, ElasticSearch, Kafka, Hive, Cassandra, Hortonworks, Docker, Ansible, Kubernetes.
of aggregated data
on the real time part
Accompanying the Bouygues Telecom CIO to improve QOS through the detection and prediction of anomalies thanks to big data.
With the aim of improving service quality, our teams aggregate, transform and restore data from all Bouygues network equipment (internet box, smartphone, routers, etc.).
This data is then used in 2 different ways: for real-time dashboards or via BI tools and machine learning algorithms (for anomaly prediction).
In charge of all project phases (monitoring, design, implementation and maintenance), we make recommendations with customer validation.
The infrastructure being on premise, we control our infrastucture in the smallest details and mount the management and automation solutions ourselves.