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In today's podcast, sponsored by IP Fabric, we dive into the IP Fabric Network Assurance platform. This platform gathers network configuration and state, and then builds a network model using a graph database. The result is a "digital twin" of the network that engineers and security teams can use for troubleshooting, to plan and verify changes, for network and security analysis, and to enable closed-loop automation. Our guests from IP Fabric are Pavel Bykov, CEO; and Daren Fulwell, Network Automation Evangelist.
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What does it take to build your own AI agent that could help with day-to-day network tasks? Hank Preston, a Distinguished Architect at Cisco, asked himself that question. He developed a presentation that walks through all the elements one might need to build such an agent, as well as the risks t ...
Shortest Path Bridging (SPB) remains an intriguing and reliable fabric technology, offering a unique approach to Ethernet that differs from more widely deployed fabrics such as EVPN/VXLAN. Jeff Wilson joins Ethan and Drew to share his experience designing and managing SPB-based fabrics. Together ...
If you think of BlueCat as just an IPAM or DDI company, think again. BlueCat acquired LiveAction in 2024, and since then, they’ve been working to integrate LiveAction’s network observability capabilities with the DDI portfolio. In this sponsored episode, Ryan Grande, Field CTO at BlueCat, is her ...
As more applications and services rely on AI inferencing, that means more traffic on the WAN. Yes, bandwidth can solve a lot of problems, it’s not unlimited and AI inference traffic still has to share pipes with other flows. That means things like WAN latency, determinism, security, and traffic ...
Ethan Banks sits down with Eduard Dulharu live at AutoCon 5 to explore how agentic AI can be used to reduce Mean Time to Recovery (MTTR) for complex network environments. Eduard breaks down how these AI agents leverage deterministic workflows and custom fine-tuned models to analyze telemetry and ...
Penafian: Podcast dan karya seni yang dibenamkan pada halaman ini adalah daripada Packet Pushers, yang merupakan hak milik pemiliknya dan tidak bergabung dengan atau disokong oleh Listen Notes, Inc.
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