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Heavy Networking

Podcast Heavy Networking
Packet Pushers
Heavy Networking is an unabashedly nerdy dive into all things networking. Described by one listener as "verbal white papers," the weekly episodes feature networ...
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  • HN 759: Deploying the BGP Monitoring Protocol (BMP) at ISP Scale
    The BGP Monitoring Protocol, or BMP, is an IETF standard. With BMP you can send BGP prefixes and updates from a router to a collector before any policy filters are applied. Once collected, you can analyze this routing data without any impact on the router itself. On today’s Heavy Networking, we talk with Bart Dorlandt,... Read more »
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  • HN758: How Selector Built an AI Language Model for Networking (Sponsored)
    On today’s episode, artificial intelligence with sponsor Selector.AI. If you’re curious and maybe still skeptical about the value AI brings to network operations, listen to this episode. Selector is on the forefront of AIOps for networking, building models that are customized and specifically targeted at networks. What Selector is doing is NOT simply the low-hanging... Read more »
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  • HN757: Building a DIY SD-WAN to Serve (Very) Remote Customers
    On today’s episode, we chat with wireless ISP engineer Elijah Zeida. Elijah had an interesting connectivity challenge to solve for a remote mountain town that relies on a wireless connection for Internet access, and not much budget to solve it with. But he got it done by building his own SD-WAN using Mikrotik boxes and... Read more »
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  • HN756: Alkira Enhances Its Multi-Cloud Networking With ZTNA and Security (Sponsored)
    Alkira provides a Multi-Cloud Networking Service (MCNS) that lets you connect public cloud and on-prem locations using a cloud-delivered, as-a-service approach. But Alkira offers more than just multi-cloud connectivity. On today’s sponsored episode of Heavy Networking, we dig into Alkira’s full set of offerings, which include networking, visibility, governance, and security controls such as firewalls... Read more »
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  • HN755: Optimizing Ethernet to Meet AI Infrastructure Demands
    Ethernet competes with InfiniBand as a network fabric for AI workloads such as model training. One issue is that AI jobs don’t tolerate latency, drops, and retransmits. In other words, AI workloads do best with a lossless network. And while Ethernet has kept up with increasing demands to support greater bandwidth and throughput, it was... Read more »
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