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!
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, […]
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 […]
Not “New Data” But “New Ways of Getting Data” Model-driven telemetry has been one of the most fun projects I’ve worked on in a long time. Right from the start, we worked hand-in-hand with customers to identify their biggest pain points when it came to network operational data. To my surprise, the primary ask was […]
In a recent blog on “Why You Should Care About Model-Driven Telemetry”, I reviewed the need for streaming telemetry and the high-level architecture that makes it possible. Today I’m going to drill down on some specific design choices we made in order to quickly export large amounts of data. Tell Me How You Really Feel About […]
Co-written with Frederic Trate, Sr. Marketing Manager Let me start by asking you a couple questions: Does your network grow in size and complexity every year? Are you still largely operating your network manually? Do frequent customer complaints make you wonder if you really know what’s going on in your network? Do you often hear […]
