From Downtime to Real-Time: How Optix Transformed System Monitoring with InfluxDB

Optix, an omnichannel data unification tool for marketers, relies on its ability to monitor and store a heavy load of metrics. Before InfluxDB, the company used an inefficient general-purpose database that left the team fighting against costly downtime and countless hours of troubleshooting. The struggle to monitor infrastructure health, track performance trends over time, and optimize resource usage led Optix to search for a purpose-built time series database.

InfluxDB’s time series optimized storage and query engine was a natural choice. As its main use case, Optix utilizes InfluxDB to store metrics collected by Telegraf, including system metrics (CPU, memory, disk), application logs, and container data, all pushed at high frequency. InfluxDB’s schema flexibility supports seamless evolution as new metrics are needed, and its performance ensures data isn’t lost under heavy loads. The Optix team leveraged Grafana connected to InfluxDB as the visualization layer for powerful dashboards and real-time alerting, enabling efficient capture of high-volume data with minimal overhead.

With their new system, Optix built a reliable monitoring and alerting system. Having real-time visibility into performance metrics means they can catch issues early, avoid downtime, and keep systems running smoothly. Overall, it improved productivity and decision-making, while increasing confidence with stakeholders and customers. The combination of Telegraf, InfluxDB, and Grafana has become the backbone of Optix’s observability strategy, providing a scalable and user-friendly solution that comes with a valuable perk for the entire team: peace of mind.