James Governor of RedMonk sits down with VMware by Broadcom's Dilpreet Bindra and Zach Shepherd at KubeCon Europe 2026 in Amsterdam to unpack what they call "the best kept secret in the industry": VMware by Broadcom's deep, sustained contributions to the CNCF and Kubernetes ecosystem. The conversation covers VMware's shift to exposing Cluster API directly as a product commitment, the etcd diagnostic tooling they've open-sourced for the whole community, and the journey of Velero from an internal project to a CNCF sandbox project with maintainers from Red Hat, Microsoft, and beyond. The trio also digs into the significance of CNCF's new AI platform conformance program, VKS's certification as a Kubernetes AI platform, and why workload portability matters more than ever as the AI tooling landscape explodes. Dilpreet and Zach close with what's got them buzzing at the biggest KubeCon Europe yet — from llm-d's CNCF sandbox acceptance to the quality of customer conversations happening on the show floor.

This RedMonk conversation is sponsored by VMware by Broadcom.

Show notes: https://redmonk.com/videos/vmware-by-broadcoms-open-source-story-at-kubecon-eu-2026/

Chapters:

00:00 Introductions: Meet Dilpreet Bindra and Zach Shepherd from VMware by Broadcom

01:07 The Best Kept Secret: VMware's History as a Top CNCF Contributor

01:50 Betting on Cluster API: Moving from Proprietary to Open Source

02:24 Chopping Wood, Carrying Water: Earning Community Trust

03:04 The Chop Wood Carry Water Award and VMware's Track Record

03:45 The etcd Story: Open-Sourcing Support Tools for the Whole Ecosystem

04:52 Leading Projects vs. Sharing Ownership

05:46 Velero's Evolution: From VMware Project to CNCF Sandbox

06:24 What Is Velero? Kubernetes-Native Backup and Restore

07:13 Diverse Maintainership: Red Hat, Microsoft, and Beyond

07:57 Why Contributing Velero to the CNCF Is a Strategic Investment, Not a Giveaway

08:34 AI, Kubernetes, and the Infrastructure Boom

09:06 VKS as a Certified Kubernetes AI Platform and Why Portability Matters

10:17 CNCF AI Compliance and the Promise of Workload Portability

10:46 KubeCon EU 2026: The Biggest One Yet

11:11 What's Most Exciting: llm-d Joins the CNCF Sandbox

11:34 Booth Energy and the Depth of Customer Conversations

12:07 Wrap-Up

In this RedMonk Conversation, Rachel Stephens sits down with Boris Bialek, VP of Industries and Global Field CTO at MongoDB, to explore why data remains the unshakable foundation beneath the fast-moving world of AI. Boris paints a vivid picture of an industry where every sector—from banking to automotive to insurance—is racing to adopt AI simultaneously, often betting on the "whole racetrack" at once. The conversation traces the rapid evolution from chatbots to RAG architectures to MCP servers and agentic systems, all within roughly 18 months, and asks: what should enterprises actually anchor to when the layers above keep shifting? Boris makes the case that while LLMs, frameworks, and protocols will come and go, your data is the one asset you truly own and control. Along the way, they dig into real-world use cases like predictive maintenance on factory floors and intelligent airline customer service, the role of real-time vectorization and embedded models (including MongoDB's acquisition of Voyage AI), and the critical importance of encryption and governance when machines start talking to machines. The takeaway: building a strong, unified data platform isn't just a database decision — it's the strategic foundation for enterprise AI transformation.

This RedMonk conversation is sponsored by MongoDB

Show notes: https://redmonk.com/videos/ai-data-boris-bialek/

Chapters:
00:00 Introduction to the Conversation

01:23 Navigating the Rapidly Evolving Tech Landscape

04:38 The Importance of Data Ownership

11:22 Unified Data Platforms and AI Integration

17:34 The Evolution of AI and Agentic Systems

23:15 Compliance, Governance, and Data Security

25:27 Conclusion: The Central Role of Data

In this conversation, RedMonk's Kate Holterhoff talks to Mike Basios, CTO and Co-founder of TurinTech AI, about the new set of problems AI is introducing for engineering organisations, and what happens when you treat your entire stack—application code, data pipelines, inference systems, agent workflows, GPU and CPU kernels—as measurable artifacts that can be systematically validated and continuously improved. Mike explains how AI is fundamentally changing both how engineering gets done and what engineering is being asked to deliver. The conversation explores a central tension: while AI tools have made individual developers dramatically more productive, that velocity is creating a growing backlog of unreviewed, unoptimized code, and an infrastructure that was never designed to support the dozens of concurrent agents a single developer might now depend on. Mike argues that the engineering role is shifting from problem-solving to outcome-verification, and that teams who don't define what "good" looks like before they build will struggle to compete as the quality of the solution, not the speed of its creation, becomes the key differentiator. TurinTech's answer to this challenge is a measurement-first platform that applies evolutionary, self-improving techniques to continuously benchmark and optimize code across any domain where performance can be quantified.

This RedMonk conversation is sponsored by TurinTech AI.

Show notes: https://redmonk.com/videos/mike-basios-on-why-ai-era-engineering-needs-a-measurement-first-approach

Chapters:
00:00 The Impact of AI on Software Engineering
03:41 Shifting Roles: Engineers as AI Managers
07:35 Infrastructure Challenges in AI Development
11:10 Reliability and Performance of AI Systems
19:09 Measuring Success in AI Optimization
26:27 The Future of AI in Software Development

In this episode of the MonkCast, RedMonk senior analyst Kate Holterhoff sits down with Kin Lane, API Evangelist and Co-Founder & Chief Community Officer (CCO) for Naftiko, to untangle one of the most pressing questions in developer tooling today: what happens to APIs and SDKs when AI enters the picture? Kin traces the SDK from its origins in the REST API era of 2008, through the recurring (and always premature) declarations of its death, to its current identity crisis in an age of AI co-pilots, MCP servers, and agentic IDEs. The conversation explores how OpenAPI specs are being used to shrink context windows and why AI might generate bespoke, single-purpose SDKs on the fly rather than shipping monolithic language-specific kits.

Show notes: https://redmonk.com/videos/sdks-in-the-ai-era-with-kin-lane/

Chapters
00:00 Introduction to APIs and SDKs
06:36 The Evolution of SDKs in the AI Era
10:08 Future of SDK Generation and Automation
17:20 Business Alignment and SDK Development
20:09 The Role of IDEs and MCPs in SDKs
26:07 SDKs for AI Agents vs. Human Developers
29:15 The Power of Language in Technology
30:40 Navigating Determinism and Non-Determinism in AI
35:29 The Role of Abstraction Layers in Development
39:00 API Governance: Bridging Gaps in Development
46:22 Designing APIs for AI Misuse
50:52 The Evolving Identity of Developers
58:07 Where to Follow Kin Lane's Insights

In this RedMonk conversation, Stu Miniman, Senior Director of Market Insights, Hybrid Platforms at Red Hat, shares his extensive tech industry experience and insights with Kate Holterhoff. Stu discusses behind-the-scenes stories from his time as an industry analyst at theCUBE. As a seasoned expert in networking, virtualization, and cloud computing, he also chats about how networking challenges are being addressed in the Kubernetes ecosystem, the impact of AI, and the future of the industry analyst role.

Red Hat is a RedMonk client, but this video is unsponsored and independent.

Show notes: https://redmonk.com/videos/clouderatti-to-thecube-stu-miniman/

Chapters
00:00 Introduction and Background

06:18 The Evolution of EMC and Its Impact

14:17 Networking in the Kubernetes Ecosystem

22:07 The Role of an Analyst

28:57 AI: Opportunities and Challenges

35:03 The Cube: A Journey Through Live Production

40:57 Preparation and Connection with Guests

46:27 Building Relationships and Networking

53:51 Analysts vs Influencers: A Blurred Line

01:05:18 Wrapping Up and Future Engagements

In this RedMonk conversation, Kate Holterhoff speaks with Ansgar Lindwedel, Director of Software Defined Vehicle (SDV) Ecosystem Development at the Eclipse Foundation. They discuss the concept of Software Defined Vehicles, the evolution of software in the automotive industry, and the challenges faced by developers. Ansgar explains the importance of the Eclipse SDV working group, the trade-offs of proprietary operating systems, and the role of open source in building competencies. They also touch on safety in open source software development, the ecosystem of Eclipse SDV, the impact of AI on automotive development, and the future roadmap for the community.

This RedMonk Conversation is sponsored by the Eclipse Foundation.

Show notes: https://redmonk.com/videos/eclipse-sdv-ansgar-lindwedel/

Chapters
00:00 Introduction to Software Defined Vehicles
02:10 The Evolution of Software in Automotive
05:02 Eclipse SDV Working Group Overview
08:49 Challenges in Automotive Development Tools
11:57 The Shift to Open Source in Automotive
16:32 Functional Safety in Open Source Software
19:12 The Ecosystem of Eclipse SDV
31:58 The Role of AI in Automotive Development
36:21 Future Roadmap and Transformative Changes

In this RedMonk conversation, Chris Corriere, Founder of Ecology Computing and an organizer of Devopsdays Atlanta, shares his unique perspective on socio-technical systems, complexity in computing, and the future of DevOps practices with Kate Holterhoff. They discuss how ecological thinking influences technology and how mapping tools like Cynefin and Wardley Maps can help navigate complex environments.

Show notes: https://redmonk.com/videos/chris-corriere-complexity/

Chapters

00:00 Introduction and Guest Background

00:27 Chris Corriere's Ecological Perspective on Technology

02:11 Socio-technical Mathematics and Complexity

02:40 Mathematics in Computing and AI

04:32 AI, Agency, and Autonomy in Systems

05:42 Math Skills for Developers and Data Scientists

06:57 Platform Engineering and Source Control

09:09 Open Source Projects and Enterprise Work

11:04 The Role of Git and Version Control

12:23 Greenfield Projects and Tech Debt

13:35 Understanding Cynefin and Wardley Mapping

18:54 What is Cynefin? Its Origins and Meaning

19:54 Chaos, Disorder, and Platform Salvage

21:38 Mapping the Tech Environment with Wardley

25:41 Mapping Space Technologies and Quantum Computing

27:02 DevOps Days Atlanta and Future Themes

29:30 The Future of AI, Education, and Community

31:13 Closing Remarks and Contact Info

In this RedMonk Conversation, senior analyst Kate Holterhoff is joined by Alex Moore, Executive Director of Open Web Advocacy (OWA), to unpack why the web has struggled to compete with native apps on mobile and what regulators are finally doing about it. Moore traces OWA’s origins from frustrated engineers to a global advocacy group. They explore the technical, economic, and competitive implications of blocking web apps on iOS, from developer productivity and install friction to security myths and the future of innovation. The discussion spans WebAssembly, PWAs vs. native apps, and major regulatory efforts like the EU’s Digital Markets Act, the UK’s DMCC, Japan’s Smartphone Act, and the US DOJ case against Apple.

Show notes: https://redmonk.com/videos/alex-moore-open-web-advocacy/

Chapters
00:00 Introduction to Open Web Advocacy
02:48 The Formation and Goals of OWA
05:17 Apple's Dominance in Mobile Development
07:45 Web Apps vs. Native Apps: The Debate
10:39 The Future of Web Apps
12:55 Security Concerns and Apple's App Store
19:56 Conclusion and Future Outlook
22:14 Security in Native vs Web Environments
23:30 Advocacy Work and Legislative Landscape
24:02 Digital Markets Act and Its Implications
28:56 Global Movements: Japan and US Cases Against Apple
32:08 Getting Involved: Advocacy and Community Engagement
35:23 Call to Action: Pushing for Change in the Tech Landscape
37:52 The Future of Tinkering and Innovation

In this episode of RedMonk Conversations, Rachel Stephens (Research Director at RedMonk) sits down with Özer Dondurmacıoğlu, VP of Product Marketing at GitLab, to discuss GitLab’s vision for intelligent orchestration across the software development lifecycle.

AI coding may be accelerating how quickly developers generate code, but what happens to code review, security scanning, compliance, testing, governance, and release coordination when code volume increases? Learn more about GitLab's vision for leveling up the SDLC.

This is a RedMonk video, sponsored by GitLab.

Show notes: https://redmonk.com/videos/gitlab-platform/

In this RedMonk conversation, Kate Holterhoff chats with Daniel Stenberg, founder of the curl project, about the challenges and implications of AI-generated code in open source software, focusing particularly on the phenomenon known as AI Slop. They discuss the impact of AI on bug reporting, the effectiveness of bug bounty systems, and the importance of community engagement. Daniel shares insights on how AI can be both a tool for good and a source of problems, emphasizing the need for communication and collaboration in the open source community. The conversation also touches on the role of platforms like GitHub and the future of open source in an AI-driven world.

Show notes: https://redmonk.com/videos/daniel-stenberg-ai-onslop/

Chapters

00:00 Introduction to Curl and AI Slop

01:54 The Rise of AI Slop in Open Source

05:39 Defining AI Slop and Its Impact

07:07 Understanding Bug Bounty Systems

09:27 The Importance of Curl in the Tech Ecosystem

11:48 Positive Uses of AI in Open Source

15:19 Navigating AI Tools and Their Limitations

17:29 Community Engagement and Best Practices

19:11 Leadership in the Face of AI Challenges

22:11 Future Considerations for Open Source and AI

23:45 Navigating the AI Landscape

27:01 GitHub's Role in AI Contributions

30:45 The Future of AI and Open Source

33:53 Empowering Engineering Leaders

37:42 The State of Open Source in the AI Era