Model-Driven Telemetry

4 min read

Traditional features such as SNMP, CLI, and Syslog, used for collecting operational statistics from a network, have several restrictions due to the growth of the objects like IoT devices and cloud based applications. SNMP uses the pull model when retrieving data from a switch. This model cannot scale for today’s high-density platforms, and offers very […]

1 min read

Model-driven telemetry means lots of network data, fast. Next up: Pipeline, a collection service that provides the foundational layer in a scalable, modular analytics architecture. Now available in github!

4 min read

Industry experts, operators and vendors present real use cases and technology demos to demonstrate what works, and what does not, for real deployments in live networks.

2 min read

The core principle of model-driven telemetry is super simple:  as much usable data out of the network as fast as possible.  The implementation is also pretty subtle:  a push mechanism, data models, open-source encodings.  In fact, it’s all so simple and subtle that some folks look under the hood and say, “so what?”   To that, […]

3 min read

It’s been a year since I wrote this blog detailing our software innovations aimed at helping Service Providers address the ever-increasing challenges imposed by digitization. IOS XR for cloud-scale networking has really taken flight since then and I am proud to share with you some highlights from the journey thus far. Our strategy is essentially […]

2 min read

Telemetry and analytics are all the rage in networking today. The industry is abuzz with the potential unlocked by streaming vast quantities of operational data.  But what’s so special about “model-driven” telemetry? Models enable networking devices to precisely describe their capabilities to the outside world: what kind of data they expose (e.g. interfaces statistics, configuration […]