This blog discusses observability gaps in traditional NMS platforms and how InfluxDB addresses them.

InfluxDB is a time-series database platform for collecting, storing, and analyzing time-stamped data, offering tools for monitoring, observability, and IoT applications. From this resource users can learn about time-series data modeling, querying, and visualization to monitor and analyze their systems' performance and behavior in real-time.

InfluxData

Traditional Network Monitoring Systems often miss critical data like short-lived traffic spikes, per-component CPU metrics, and dynamic objects due to low polling frequencies and rigid architectures. An enterprise customer solved these visibility gaps by implementing a monitoring stack built around InfluxDB and Telegraf, achieving high-resolution (1-second) metric collection that revealed network issues invisible to their legacy NMS. The solution captures full-fidelity telemetry from routers, switches, firewalls, and load balancers, providing real-time operational visibility while retaining long-term history for capacity planning and analysis. This approach can complement or replace traditional NMS platforms without vendor lock-in.

How Network Operations Teams Use InfluxDB to Solve Network Monitoring Gaps

How InfluxDB+ addresses NMS observability gaps

Future proofing your network monitoring stack