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Streaming telemetry: The value of "realtime" analytics for the network

Season 1, Talk 11 of NetDevOps Live! Stuart Clark introduces us to Streaming Telemetry, sometimes known as Model Driven Telemetry, and how gRPC, NETCONF, YANG models, and more will fit in along with SNMP for monitoring. Full details at http://bit.ly/2OTofNO Presenter: Stuart Clark   / bigevilbeard   Topics Covered - Time Links - Introduction - Current Network Visibility and SNMP 2:01 - SNMP Polling 4:40 - What happens when you SNMP too much 6:21 - Streaming Telemetry 9:02 - Fundamentals 10:25 - Data 12:56 - Cadence vs Event Driven 16:14 - GPB Encoding 18:50 - NETCONF Encoding 20:47 - Open Source Telemetry Tools 22:32 - Enabling Streaming Telemetry 29:29 - OID vs Models 30:03 - gRPC Background 33:58 - Dial-Out vs Dial-In 36:11 - TCP Dial-Out Config 37:10 - gRPC Dial-Out Config 38:49 - gRPC Dial-In Config 40:41 - Summary 42:57 - Webinar Resources 44:22 - Code Exchange Challenge 45:30 - Contact Info 46:29 Episode Description: Is your network running hot? Would you know if it was? How quickly would you want to know? We've long leveraged SNMP for tracking the health of our network, but the most often used "pull" model from SNMP results in inefficiencies in transport, and delays and missed information. There are newer strategies for network analytics and monitoring built for the real-time nature and needs for application and platform monitoring that can be leveraged within network platforms today. In this talk we'll explore Streaming Telemetry, sometimes called Model Driven Telemetry, and why it has become so popular with operations teams today. You'll learn how protocols like gRPC and NETCONF fit into the topic, and where open source platforms like ELK and Grafana fit in. And we'll explore how you can enable this new technology on Cisco platforms and start experimenting with it today. NetDevOps Live! is produced by Cisco DevNet. Details can be found at https://developer.cisco.com/netdevops... and follow NetDevOps Live! on Twitter at   / netdevopslive  

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