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Podcasts
Cut AI token usage by 96%? Here’s how AWS Strands Agents does it.

AWS developer advocate Morgan Willis on Strands Agents, intent-based tools, MCP gateways, and how smarter tool design cut agent token usage from 52K to 2K.

Why Broadcom is betting on a private cloud comeback

Broadcom's Jad El-Zein and Myles Gray on how VMware Cloud Foundation embraces Kubernetes, open source and the private cloud resurgence at KubeCon EU 2026.

Why AI engineering needs old-school discipline

Thoughtworks' Nimisha Asthagiri unpacks the agentic AI PoC-to-production gap, why engineering fundamentals are back, and the rise of dark code.

Jim Bugwadia on why finding a Kubernetes problem is only half the battle for Kyverno users

Jim Bugwadia explains Kyverno’s journey to CNCF graduation and 3 billion downloads. Discover how Kubernetes policy is evolving for AI workloads in 2026.

How AWS Bedrock is shaping Model Context Protocol

AWS Bedrock's Luca Chang discusses the evolution of the Model Context Protocol at the 2026 MCP Summit in NYC, detailing Amazon's open source contributions.

Why Microsoft is betting on temporary identities to stop autonomous agents from going rogue

Microsoft’s Jorge Palma discusses AI at the edge, Kubernetes fleet management, and securing agentic operations at KubeCon Europe 2026 in Amsterdam.

As agentic AI explodes, Amazon doubles down on MCP

AWS engineer Clare Liguori shapes the MCP spec as Amazon builds managed servers, contributes new features, and tests draft concepts in production.

A year in, Google wants its Axion processors to feel like a scheduling decision

Google's Arm-based Axion processor is now a scheduling preference, not a migration project — here's what a year in GKE production looks like.

Can you make Kubernetes invisible? Here’s why AWS is on a mission to do it.

AWS's Jesse Butler explains how Karpenter, Kro and Cedar are simplifying Kubernetes complexity at KubeCon CloudNativeCon Europe 2026.

The next stages of AI conformance in the cloud-native, open-source world

Learn how standardization of AI workloads on Kubernetes has become an urgent industry priority and how llm-d and a CNCF conformance program makes that happen.

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