Log Data Visualization Platform

Context

Before this tool, data engineers at Bouygues Telecom had to consult pipeline logs directly on their machines — complex due to sheer volume and the rise of containerized workloads (Docker). The Data team (100+ people) had access to ElasticSearch and Kibana, but neither was tailored to their specific internal ETL logs. They needed a purpose-built interface with targeted filters adapted to the team's workflow.

Approach

• ·Acted as sole developer across the full stack: backend, frontend, and data layer design
• ·Built a Spring Boot backend querying ElasticSearch indices containing structured log data
• ·Developed a React frontend with real-time visualization of log streams, error patterns, and pipeline metrics
• ·Designed a filtering and search system adapted to Bouygues Telecom's specific pipeline log structure
• ·Iterated the application design through direct feedback loops with data engineers and analysts

Solution

A unified internal web platform that aggregates, visualizes, and enables analysis of log data from distributed streaming pipelines. Engineers can monitor pipeline health, investigate anomalies, and analyze historical log patterns through a single, purpose-built interface.

Applications

• ·Streaming pipeline monitoring
• ·Log analysis & anomaly investigation
• ·Real-time data quality visibility
• ·Internal data observability