Networking Optimizations for Multi-Node Deep ...

AI agents are becoming accessible to everyone, raising the bar for developers building the next generation of agent products. When capable, general-purpose agents are available out of the box, differentiation increasingly comes down to the architectural decisions and specialized ...  Show more

AI agents need the institutional knowledge experienced employees rely on: why a system works a certain way, which policies apply, and what never made it into the documentation. Capturing that knowledge is hard. Keeping it useful as people and agents add more may be harder. In thi ...  Show more

On today's Kubernetes Unpacked we speak with Evis Drenova about whether AI has a role to play in the Kubernetes ecosystem. We discuss everything from using chat-based generative AI tools to interact with Kubernetes to data models and data sets on Kubernetes to Machine Learning wi ...  Show more

Where there are containers, there is networking. Today we dig into the networking that underlies Kubernetes, the open source orchestration platform for container-based applications. Our guest Karim El Jamali takes us through the essential concepts: Nodes, pods, clusters, CNIs, vi ...  Show more

In this episode, Michael catches up with Natan Yellin, CEO of Robusta.dev. Michael and Ned chat about how logging and troubleshooting works in Kubernetes today. They discuss three stages of troubleshooting evolution - manual playbooks, automatic playbooks, and the third stage, wh ...  Show more