Scaling the Telemetry Backbone
This paper explores the real-world challenge of scaling telemetry monitoring in production environments—and presents a proven architecture developed by Cisco and InfluxDB capable of ingesting 3TB of telemetry data per day.
It breaks down the three core components of a scalable telemetry pipeline—from data-producing network hardware to a multi-processing collector agent to purpose-built time series storage—and provides a blueprint other engineering teams can follow without starting from scratch.
Key Takeaways:
- Scaling telemetry monitoring from a small-scale setup to a high-throughput production environment introduces significant architectural challenges that require deliberate design choices around data collection, load balancing, and storage.
- A multi-processing collector agent architecture—decoupling the main ingestion process from the worker pool—enables reliable, high-speed data handling at gigabytes-per-second throughput.
- InfluxDB, a purpose-built time series database, provides the performance, scalability, and real-time query capabilities needed to store and analyze massive volumes of telemetry data as your infrastructure grows.
Explore the full technical paper for a detailed look at Cisco’s telemetry architecture and discover how InfluxDB can serve as the backbone of your own scalable monitoring stack.
