In a semiconductor fab, numerous processes play a role in manufacturing a microchip. Keeping track of the manufacturing process, recording all the data and metrics that occur in the different steps, sending alerts when parameters indicate production problems, and correlating the data with the resulting product is essential for a successful and efficient production.

We show how we have built a large-scale logging and monitoring solution of a large and heterogenous legacy enterprise IT infrastructure that controls semiconductor manufacturing. Our streaming-based system uses Riemann and handles more than 5,000 events per second, stores terabytes of logs and metrics persistently in Elasticsearch and Prometheus, and provides visualizations with Kibana and Grafana and real-time alerting with Alertmanager.