Heavy Networking 492: Using Streaming Telemetry To Inform And Enhance Automation (Sponsored)

Summary: Here are some things your SNMP-polling based network monitoring station probably doesn’t do:<br> 1. Consume inbound streaming telemetry<br> 2. Comprehend YANG models<br> 3. Analyze network events and percolate up the things you need to address<br> This matters because network monitoring is moving from graphing what happened during the last polling cycle to interpreting network events in real time and letting you know what to do about it.<br> Joining us from <a href="https://www.juniper.net/us/en/" target="_blank" rel="noopener noreferrer">Juniper</a> is Javier Antich. Javier is Senior PLM Director in the Automation Software team at Juniper, with a focus on automation, programmability, telemetry, and analytics.<br> Javier and the Packet Pushers discuss:<br> <br> * What’s driving automation in the enterprise and why it matters<br> * The differences between telemetry and traditional monitoring data<br> * How to make telemetry consumable and relevant<br> * The role of AI and machine learning<br> * An overview of Juniper’s HealthBot automation tool<br> * More<br> <br> Show Links:<br> <a href="https://www.juniper.net/us/en/products-services/sdn/contrail/contrail-healthbot/" target="_blank" rel="noopener noreferrer">Contrail HealthBot</a> – Juniper Networks<br> <a href="https://www.juniper.net/us/en/solutions/automation/" target="_blank" rel="noopener noreferrer">Automated Network Operations</a> – Juniper Networks<br>