Telemetry in Junos for AI/ML Workloads

This guide details setting up network telemetry for AI/ML workloads using Juniper Junos OS, gRPC, and the TIG stack (Telegraf, InfluxDB, Grafana). It focuses on efficient data collection, storage, and visualization for high-performance networks.

Learn how to configure devices, collect data from OpenConfig and native Juniper sensors, and create insightful dashboards. This document provides practical steps and configurations for monitoring critical network performance indicators.

Models: Telemetry In Junos for AI ML Workloads Software, Junos for AI ML Workloads Software, AI ML Workloads Software, Workloads Software, Software

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