What is model-driven telemetry?

Model-driven telemetry is indeed a push method that leverages YANG and NETCONF. This approach facilitates the collection and streaming of data from network devices in real time, allowing for more proactive and dynamic monitoring of network performance and state.

In model-driven telemetry, data models defined with YANG describe the structure and nature of the telemetry data. YANG enhances the ability to define hierarchical data structures, making it easier to represent complex configurations and operational data. NETCONF, on the other hand, is a network management protocol that provides mechanisms to install, manipulate, and delete the configuration of network devices. Together, these technologies enable devices to push telemetry data to collectors automatically, rather than relying on polling mechanisms, which can be slower and less efficient.

This method supports more efficient network monitoring and management by providing real-time insights, reducing the load on both the network and the devices themselves in comparison to traditional polling mechanisms. Model-driven telemetry is particularly beneficial in environments requiring high levels of scalability and responsiveness, as it allows continuous updates on the device status without the need for constant manual interaction.