The New Stack Podcast

00:22:55

Fivetran's CPO: closed data stacks won't survive the...

The New Stack Podcast ·

2026/05/13

At Google Cloud Next 2026, Fivetran Chief Product Officer Anjan Kundavaram argued that enterprise data systems are unprepared for the scale of AI-driven analytics. Unlike humans, AI agents can generate exponentially more queries, often routing them through the same expensive compute infrastructure. Kundavaram compared it to “using a Lamborghini to mow the lawn.” To address this, Fivetran introduced its “Open Data Infrastructure” vision and a benchmark designed to expose hidden AI workload costs in

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00:28:03

The new FinOps problem isn't cloud bills

The New Stack Podcast ·

2026/05/12

At Google Cloud Next 2026, Finout co-founder and CEO Roi Ravhon and Google Cloud FinOps lead Pathik Sharma discussed how FinOps is rapidly evolving for the AI era. Ravhon argued that while cloud FinOps had a decade to mature, AI economics are forcing the industry to adapt within a year. Unlike traditional cloud workloads, AI costs are unpredictable because token usage varies even for identical prompts, while advanced reasoning models consume significantly more tokens despite falling prices.Both

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00:25:28

Microsoft's answer to Kubernetes sprawl: Staged...

The New Stack Podcast ·

2026/05/07

Managing Kubernetes at fleet scale introduces significant complexity, especially as organizations expand from a few clusters to hundreds or thousands across cloud, on-premises, and edge environments. While GitOps remains the dominant model for declarative management, its traditional one-to-one repository-to-cluster approach struggles to handle multi-cluster realities such as global traffic routing, shared secrets, and unified observability. AsStephane Erbrech, Principal Software Engineer at

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00:31:31

Why long-running AI agents break on HTTP and how Ably...

The New Stack Podcast ·

2026/05/06

In this episode ofThe New Stack Makers, Matthew O’Riordan, CEO of Ably, explains how infrastructure originally built for human collaboration is now well-suited for long-running AI agents. While Ably initially resisted positioning itself as an AI company, the rise of agents that reason, call tools, and operate over extended periods revealed a natural fit for its real-time communication platform.O’Riordan highlights the limitations of HTTP for these use cases. While effective for short,

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00:32:32

Why the Linux Foundation adopted MCP, with Jim Zemlin...

The New Stack Podcast ·

2026/05/06

Agentic AI is advancing rapidly, with open-source projects racing to keep pace with real-world deployment. To accelerate progress, the Linux Foundation consolidated key technologies—Model Context Protocol (MCP), Goose, and AGENTS.md—under the newly formed Agentic AI Foundation (AAIF) in late 2025. At the MCP Dev Summit in New York City, Linux Foundation CEO Jim Zemlin and newly appointed AAIF executive director Mazin Gilbert discussed this transition. Zemlin explained that leading both organizations

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00:23:01

Fresh data has us asking, does AI demand Kubernetes?

The New Stack Podcast ·

2026/05/01

Kubernetes is rapidly emerging as the de facto operating system for AI, with two-thirds of organizations using it for generative AI inference and 82% adopting it in production. Its ecosystem — including tools like Kubeflow — enables organizations to build, scale, and retain control of AI systems through open, community-driven infrastructure. Bob Killen of CNCF and Liam Bollmann-Dodd of SlashData shared insights from recent reports showing that AI success still hinges on strong engineering

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00:26:53

How SUSE positions itself as the infrastructure layer...

The New Stack Podcast ·

2026/04/30

In this episode ofThe New Stack Makers,Pete Smailsoutlines howSUSEis evolving from its Linux roots into an AI-native infrastructure platform. Speaking atKubeCon + CloudNativeCon Europe 2026, Smails explains the company’s strategy to unify AI, containers and virtual machines on a single open, enterprise-ready foundation. Central to this isSUSE Rancher Prime, which enables consistent orchestration across hybrid and multi-cloud environments, alongsideSUSE Virtualizationfor modernizing legacy systems.A

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00:28:06

Cut AI token usage by 96%? Here’s how AWS Strands...

The New Stack Podcast ·

2026/04/29

In this episode of The New Stack Makers, AWS developer advocate Morgan Willis demonstrates Strands Agents, an open source agentic framework with rapid adoption since its launch. Using a simple accounting API, she walks through three approaches to retrieving a customer’s latest invoice, highlighting how design choices dramatically impact efficiency. The initial method maps each API endpoint to a separate tool, requiring five chained calls and consuming about 52,000 tokens. By shifting to intent-based

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00:23:40

Why Broadcom is betting on a private cloud comeback

The New Stack Podcast ·

2026/04/28

Broadcom’s VMware Cloud Foundation (VCF) is evolving from a turnkey infrastructure stack into a modern application platform, balancing simplicity with the flexibility demanded by Kubernetes-driven environments. AtKubeCon + CloudNativeCon Europe 2026, Broadcom leaders highlighted how VCF is adapting to support platform engineering teams, cloud-native workloads, and large-scale operations.A key industry shift is the return to private cloud, driven by data sovereignty concerns and the growing impact

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00:22:59

Why Broadcom gave Velero to the CNCF Sandbox — and...

The New Stack Podcast ·

2026/04/25

Broadcom continues to expand its role as a major contributor to cloud-native open source, particularly within the Cloud Native Computing Foundation (CNCF) ecosystem. Its recent donation of Velero—originally developed by VMware—to the CNCF Sandbox reflects a strategic move to foster broader community trust and collaboration. By shifting governance away from vendor control, Broadcom aims to position Velero as a truly community-driven data protection standard for Kubernetes environments, encouraging

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00:24:26

Why AI engineering needs old-school discipline

The New Stack Podcast ·

2026/04/24

In this episode of The New Stack Makers, Nimisha Asthagiri of ThoughtWorks explores why many AI initiatives stall between proof of concept and production. A key issue is that organizations focus on speed—asking how to move faster—rather than rethinking what new capabilities AI actually enables. Successful companies take a systems-thinking approach, investing in organizational literacy and aligning teams around meaningful use cases instead of retrofitting AI into existing workflows.Asthagiri

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00:23:06

Jim Bugwadia on why finding a Kubernetes problem is...

The New Stack Podcast ·

2026/04/23

Graduating within the CNCF marks a major milestone for an open source project, signaling not just technical maturity but strong governance, security practices, and widespread adoption. Kyverno, a Kubernetes policy engine, reached this stage after five years — becoming only the 35th project to progress from sandbox to graduation. As co-founder Jim Bugwadia explains, incubation reflects production readiness and adoption, while graduation validates the project’s long-term sustainability and governance

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00:31:15

How AWS Bedrock is shaping Model Context Protocol

The New Stack Podcast ·

2026/04/22

At the MCP Summit in New York City, AWS’s Luca Chang, a Bedrock team member and MCP specification maintainer, discussed the rapid rise of the Model Context Protocol (MCP) as a standard for connecting AI models and agents to tools and data. He explained that MCP’s development is shaped by a diverse group of maintainers who collaboratively prioritize features, balancing major challenges with smaller enhancements that can unlock creative new capabilities. This breadth of perspectives prevents

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00:24:37

Why Microsoft is betting on temporary identities to...

The New Stack Podcast ·

2026/04/21

AtKubeCon Europe 2026,Jorge Palmaoutlined how Microsoft is advancing AI operations across cloud and edge environments. He demonstrated an agent capable of diagnosing, mitigating, and explaining application issues in minutes, highlighting the growing role of agentic operations in Kubernetes. Palma emphasized that recent progress in tools likeAzure Kubernetes ServiceandAzure Archas made edge AI more practical by bridging cloud and on-prem systems. Kubernetes now acts as the unifying layer, while fleet

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00:24:20

As agentic AI explodes, Amazon doubles down on MCP

The New Stack Podcast ·

2026/04/16

At the MCP Summit inNew York City,Clare LiguoriofAmazon Web Servicesdiscussed the rapid rise of theModel Context Protocol(MCP), now a leading way to connect AI agents with tools and data. Originally developed byAnthropicand later transferred to theLinux Foundation, MCP has seen surging enterprise adoption as agentic AI expands. Liguori highlighted her dual role shaping MCP’s evolving specification, including work on integrating webhooks, events, and notifications to support always-on AI agents. AWS

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00:22:18

A year in, Google wants its Axion processors to feel...

The New Stack Podcast ·

2026/04/15

At KubeCon Europe, Google Cloud’s Jago Macleod and Abdel Sghiouar argued that adopting Arm for Kubernetes workloads has shifted from a complex migration to a practical, low-friction choice. After a year of production use, Google’s custom Arm-based Axion processors—powering C4A and N4A instances—are positioned as broadly viable for most containerized applications, offering strong gains in performance, cost efficiency, and energy usage compared to x86.Rather than requiring a full overhaul, moving to

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00:23:14

Can you make Kubernetes invisible? Here's why AWS is...

The New Stack Podcast ·

2026/04/14

In this episode ofThe New Stack Makers, Jesse Butler, principal product manager for AWS Elastic Kubernetes Service, shares his vision for simplifying cloud-native computing. Since joining AWS in 2020, Butler has focused on making Kubernetes easier to use, emphasizing open-source as a democratizing force. He highlights the role of the Cloud Native Computing Foundation (CNCF) in standardizing and governing open ecosystems while balancing community-driven innovation with commercial

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00:25:00

The next stages of AI conformance in the...

The New Stack Podcast ·

2026/04/09

Running AI models on Kubernetes has historically been inconsistent, with workloads behaving differently across cloud providers due to variations in GPUs, networking, and autoscaling. As organizations move AI from experimentation to production, standardization has become critical. In this episode of The New Stack Makers, Jonathan Bryce, Executive Director of The Cloud Native Computing Foundation shared that the Foundation’s Kubernetes AI conformance program aims to solve this by ensuring portability,

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00:21:21

Microsoft wants to make service mesh invisible

The New Stack Podcast ·

2026/04/08

At KubeCon EU 2026, Mitch Connors of Microsoft outlined a vision to make service meshes effectively invisible to users. Now working on Azure Kubernetes Application Network, a fully managed service built on Istio’s ambient mode, Connors aims to deliver core capabilities like mTLS without requiring users to engage with the complexity traditionally associated with service meshes. Ambient mode eliminates sidecar upgrade challenges by shifting functionality to node-level and waypoint proxies, though

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00:22:31

Amazon EKS Auto Mode wants to end Kubernetes toil —...

The New Stack Podcast ·

2026/04/07

At KubeCon + CloudNativeCon Europe 2026 in Amsterdam, Alex Kestner, principal product manager for Amazon Elastic Kubernetes Service (EKS), discussed how Amazon EKS Auto Mode aims to reduce the operational burden of running Kubernetes at scale. While Kubernetes delivers significant power, it also introduces complexity—particularly through repetitive, day-to-day tasks like managing node lifecycles, ensuring security updates, and selecting optimal infrastructure.Kestner emphasized that much of this

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