HeyJaredHeavy Networking
Heavy Networking is an unabashedly nerdy dive into all things networking. Described by one listener as "verbal white papers," the weekly episodes feature network engineers, industry experts, and vendors sharing useful information to keep your professional knowledge sharp and…
- Indexed episodes, last 90 days
- 7
- Latest publication
- Sep 4, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 17, 2026
Latest episodes
HN840: How to Make a Technology Buying Decision (opens the original)
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When engineers look to buy new technology they tend to focus on features and functionality, but there’s more to it than that. Sian Morgan joins Drew and Ethan to discuss the best practices involved in making a good technology buying decision. Sian shares how engineers can align their technical focus with broader business objectives, calculate ... Read more »
HN839: Why Flows, Packets, and DDI are All Critical for Operational Effectiveness (Sponsored) (opens the original)
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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 here to dig into how network observability and DDI ... Read more »
HN838: Meet Mr. Packets – Building Your Own Agentic AI Team Member (opens the original)
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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 to consider. On today’s ... Read more »
HN837: Agentic AI to Reduce MTTR (opens the original)
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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 propose solutions. Through the use of agentic ... Read more »
HN836: Optimize AI Traffic on the WAN with Ciena’s Integrated IP Networking (Sponsored) (opens the original)
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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 engineering are just as important as ... Read more »
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