A service centre of 9 people
1 project manager
4 developers (including 1 manager)
4 DevOps (including 1 leader)
Java, Spark, Tenserflow, HDFS, ElasticSearch, Kafka, Hive, Cassandra, Hortonworks, Docker, Ansible, Kubernetes.
of aggregated data
on the real time part
Supporting the IT department of Bouygues Telecom to improve the QOS by detecting and predicting anomalies using big data.
In order to improve the quality of service, our teams aggregate, transform and restore data from all Bouygues network equipment (internet boxes, smartphones, routers, etc.).
This data is then used in two different ways: for real-time dashboards or via BI tools and machine learning algorithms (for anomaly prediction).
We are responsible for all phases of the project (monitoring, design, implementation and maintenance) and make recommendations that are validated by the client.
As the infrastructure is on site, we control our infrastructure down to the last detail and install the management and automation solutions ourselves.