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How Cisco makes use of automation, programmability, Python, InfluxDB, and Grafana to supply world-class know-how convention experiences
Cisco Programs’ Cisco Stay convention is held yearly – within the winter in Europe and in the summertime in america. A typical US occasion hosts 600+ breakout periods, dozens of keynotes, Certification Testing and walk-in labs. The convention serves over 26,000 attendees and all their cell units. The inner community workforce is answerable for guaranteeing that 2,200 wi-fi entry factors and 800 switches are offering adequate community connectivity, availability and bandwidth for all attendees, audio system and organizers throughout 2 million sq. ft of convention house. Over 9 days (4 days of setup and 5 convention days), occasion workers and attendees have pushed over 84 terabytes of knowledge from the convention to the web! Twin 100 Gigabit/second major hyperlinks and backup 10 Gigabit/second hyperlinks deal with something the customers can throw at it.
The infrastructure required for this occasion additionally contains servers, VMs, and containerized workloads. With the rising want for hybrid occasions, Cisco’s workforce additionally ensures 100% video streaming uptime. Uncover how Cisco makes use of InfluxDB to retailer key efficiency metrics throughout many IT domains alongside their industrial administration options. The workforce continues to iterate and enhance year-over-year to achieve visibility into their community and units to streamline troubleshooting and shortly reply to occasions earlier than they turn out to be service impacting.
On this webinar we’ll dive into:
- Cisco’s method to utilizing automation, orchestration, Python scripts, SNMP, and streaming telemetry to gather community knowledge
- Their methodology to troubleshooting, prioritizing, and scheduling fixes to make sure one of the best shopper expertise
- How a time collection platform is essential to their real-time knowledge evaluation
Be a part of me for a reside webinar on Tuesday, February 15, 2022 at 8:00AM PT | 4:00 PM GMT
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