The Challenge
An enterprise client was drowning in operational data it couldn't see in time to act on. Reports arrived days late, anomalies were discovered after the damage was done, and executives worked from stale numbers. They needed intelligence measured in seconds, not weeks.
What We Built
- Real-time pipeline — millions of events per day streamed through Kafka into ClickHouse
- Custom visualization engine — live dashboards tailored to each operational team
- ML anomaly detection — PyTorch models flag unusual patterns as they happen
- Automated executive reporting — scheduled summaries generated and delivered without manual work
Technology
Kafka for ingestion, ClickHouse for sub-second analytical queries at scale, PyTorch for anomaly models, and a React dashboard layer.
The Outcome
- 10M+ data points processed daily with sub-second query response
- Anomalies surfaced in real time instead of post-mortem
- Executive reporting fully automated