Video by CNCF [Cloud Native Computing Foundation] via YouTube
Dominik Mayer, Chief of Staff at CUE Labs, shares how his team worked with the Perses project to give their users a schema for their tool. The two teams connected, worked through the challenge together, and published a blog documenting the process.
It’s a real example of what makes the cloud native community work.
Description:
SUDO Show 77, “The Promotion Paradox,” is all about what happens when the best nerd in the room gets handed a calendar full of 1:1s, budgets, and “peopleware” instead of terminals and tickets. Bill, Neal, and Noel swap stories about micromanagers, open office nightmares, open source maintainers, and why learning to lead humans is way harder—and ultimately more rewarding—than just being the fastest person at fixing servers.
Show Links:
The Manager’s Path – Camille Fournier
https://www.oreilly.com/library/view/the-managers-path/9781491973882/
An Elegant Puzzle: Systems of Engineering Management – Will Larson
https://www.goodreads.com/book/show/45303387-an-elegant-puzzle
Linus Torvalds & Dirk Hohndel – Open Source Summit North America 2026 keynote
Chapters:
00:00:00 Intro – The Promotion Paradox
00:00:31 The Peter Principle Meets Tech
00:01:33 From Sysadmin to Manager – The Identity Shift
00:04:45 Team Lead – The First Rung on the Ladder
00:06:52 Metrics, Micromanagement, and Identity Crisis
00:09:43 Promotion by Tenure – Why That Fails
00:11:37 Bill’s Journey – Letting Go of “Best Tech”
00:13:46 Imposter Syndrome in Management
00:14:40 Two Bosses – Upward and Downward Management
00:20:07 Neal – From Startups to Big Companies
00:21:45 Prioritize the First Hire
00:25:49 Effective Managers Know the Skills
00:27:48 What Is an MBA?
00:28:18 Open Offices, Power, and Culture Jokes
00:29:40 The Maintainer Trap – Linus, Dirk, and FOSS
00:31:41 Keeping Hands in the Code – Linus’s Approach
00:32:49 My AI Assistant Is Here
00:33:36 Recognition, Rewards, and Motivation
00:34:31 Decompressing as a Manager (with a Little AI)
00:36:19 AI Managers
00:40:12 The Governance of Managing People
00:43:43 Understanding Company Culture for Better Management
00:46:56 Everybody Fails – How Do You Handle It?
00:48:57 Even Linux Has Had Catastrophic Management Failures
00:50:46 Management Pays Off If You Learn the Lessons Along the Way
00:53:04 Start Teaching Leadership Skills at a Young Age
00:55:16 We Need to Talk More About Education
00:56:03 What Are Our SUDO Solutions?
01:02:06 Outro
Connect with the Hosts:
Bill – @ctlinux on Mastodon
Neal – @neal@social.gompa.me on Mastodon
Noel – https://github.com/noelmiller
Mark Paulsen (Head of the Open Source Program Office at TD Bank) and Harry Toor explore how financial institutions can leverage generative AI and machine-readable policies to automate OSPO risk management. They deliver a live demonstration showing how AI can pinpoint compliance red flags, end-of-life dependencies, and licensing conflicts in seconds.
🇬🇧 Join us in London! Catch the latest on OSPO Strategy and Risk Management at OSFF London on June 25, 2026: https://hubs.ly/Q041YV9Z0 (Use Code: 26YTOSFFLN20C)
🕒 Timestamps:
0:00 Introduction: Managing OSPO Risk via AI
0:59 TD Bank’s Scale and Open Source Footprint
1:30 Three Key Questions: OSPO, Risks, and AI
1:44 What is an OSPO? Right-Sized Governance
2:31 Understanding Complex Corporate Software Risks
3:07 Leveraging Open Sourced Corporate Policies
3:45 Ingress, Egress, and Internal Control Points
4:45 How AI Comprehends and Problem-Solves Policy
5:37 Inside Control Point: SBoM and Dependency Decisions
6:25 Egress Control Point: Automated Code and Contribution Reviews
7:10 License Classification and Sheldon Cooper’s Dilemma
7:55 Practical Step: Translating Bank Policies into Machine-Readable Formats
10:12 Live Demo: Appeasing the Demo Gods
11:06 Live Walkthrough: Reviewing Open Source Licenses with AI
13:35 Analyzing the Output: Red Flags and Archived Repositories
15:00 Case Study: Kamunda 7 and the End-of-Life Tracking Problem
16:57 Audience Q&A: Overcoming AI Hallucinations via Human-in-the-Loop Architecture
📊 The Problem: The Manual License Review Bottleneck Open source software is inside every modern bank, whether leadership realizes it or not. However, managing compliance at banking scale involves handling massive volumes of Software Bills of Materials (SBOMs), complex license classifications, and security reviews. Relying purely on manual checks means multiple cross-departmental alignment sessions with compliance, legal, and cyber security, which drastically slows down engineering velocity.
🏗️ The Solution: Machine-Readable Policies & Automated Reviews
Mark Paulsen demonstrates how to apply generative AI to bridge the gap between high-level policy and automated execution:
* The Three-Point Framework: Constructing specialized AI automated guardrails at the three critical bank touchpoints: Ingress (code entering), Egress (contributions going out), and Internal (code already inside).
* Machine-Readable Taxonomy: Converting prose-heavy legal text into structured formats (like JSON) that LLMs can accurately parse against external open-source codebases.
* Automated Risk Triaging: Giving AI clear policy guidance to automatically highlight critical non-compliance indicators, such as unmaintained or archived GitHub repositories.
⚙️ Why This Matters for Financial Engineering
* Deterministic Audit Trails: By forcing the AI to output its explicit rationale alongside its decision, banks generate a clear, documented audit trail that satisfies internal risk and regulatory compliance bodies.
* Superpowered Efficiencies: Moving from weeks of review meetings to a multi-second initial screening allows risk teams to focus exclusively on highly nuanced edge cases.
🌐 More about FINOS: https://www.finos.org/
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🎙️ Listen to our Open Source in Finance Podcast: https://www.youtube.com/@FINOS/podcasts
LinkedIn: https://www.linkedin.com/company/finosfoundation
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A new Firefox release confuses Félim, Plex makes no sense in a world where Jellyfin exists, Will considers paying for the Kagi search engine, and another small Android tablet for your wall. Plus what we learned at the recent Ubuntu Summit.
When trusted AI matters, trusted data comes first. See how Mead Johnson Nutrition is building its data foundation with SAP Business Data Cloud.
For Mead Johnson Nutrition, supporting the health and nutrition of families and infants means every decision must meet a higher standard. In a highly regulated industry, AI can’t be directionally right, occasionally wrong, or unclear in how it reaches a recommendation. It needs trusted business context, strong governance, and transparency by design.
In this customer story, Mead Johnson Nutrition shares how SAP Business Data Cloud helps bring SAP and non-SAP data together with metadata, definitions, lineage, and governance intact. By replacing fragmented, market-specific data pipelines with a unified data fabric and reusable SAP data products, teams can spend less time wrangling numbers and more time acting on reliable insights.
With a trusted foundation in place, Mead Johnson Nutrition is preparing for enterprise AI that is consistent, governed, and scalable across the business. The result: better decisions made faster and with confidence, supporting availability, responsiveness, reliability, and the standards families depend on.
Explore SAP Business Data Cloud: https://www.sap.com/products/data-cloud.html
Follow us on social:
LinkedIn: https://www.linkedin.com/company/sap/
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Facebook: https://www.facebook.com/SAP/
Threads: https://www.threads.com/@sap
About SAP:
As a global leader in enterprise applications and business AI, SAP stands at the nexus of business and technology. For over 50 years, organizations have trusted SAP to bring out their best by uniting business-critical operations spanning finance, procurement, HR, supply chain, and customer experience. For more information, visit: https://www.sap.com/index.html
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I recently did a live Linux Q&A, and this video is the edited down version from 5 Hours to 28 minutes answering 21 questions from the community. We cover distros, desktop environments, software, troubleshooting, anti-cheat, tips, Linux’s future, and a bunch of other Linux topics along the way.
### SHOW NOTES ►► https://tuxdigital.com/videos/i-answered-your-biggest-linux-questions
### Chapters:
00:00 Intro
00:20 What do you think is driving the current surge of interest in Linux?
01:54 Do you think the steam machine is going to make a difference for Linux gaming, specifically multiplayer?
02:59 What market share do we need to get companies to support "kernel level anti-cheat"?
04:18 Do you think the distribution of proprietary software would be good for Linux?
05:14 What are some questions to ask when people ask you for which distro they should use?
07:39 How is video editing in Linux these days?
09:15 What is your workflow as a designer? Do you dual-boot with Windows?
10:38 Do you ever use Windows at all?
11:35 What’s your stance on vibe coding stuff for personal use?
12:43 If you tinker too much and break your system, what should you do?
13:45 Why is there so much hate towards Ubuntu?
17:57 How much older are the packages in Debian compared to RHEL?
19:19 is it a myth that Linux speeds up beard growth?
19:39 Are there any distros you have a very negative experience with?
20:19 Is learning by doing on an "advanced" distro going to increase the speed of learning Linux in-depth?
21:21 Do you think there’s a market share that Linux could get where Microsoft releases MS Office for Linux?
22:11 How do you feel about ARM and the Linux ecosystem?
24:11 Do you think Linux userbase will continue to expand or will Microsoft improve and slow down departures?
25:54 What do you think about making a Matrix space?
26:33 What shows are in your TuxDigital Network? Are there plans to add any new shows?
27:10 If Linus Torvalds said "I’m retiring", would you be concerned?
27:40 Outro
Every episode of TWiT’s Windows Weekly podcast ends in a brown liquor pick of the week. In this clip from episode 975, Richard Campbell teaches audiences the history of Dublin, the Church of England, Thomas Becket, the Golden Triangle, and Walter Teeling. While Scotland’s whisky business was based on farms, Ireland’s whiskey distribution was mostly urban. Teeling’s Small Batch is 46% ABV, triple distilled, and drinks nicely.
Teeling site: https://www.teelingwhiskey.com/
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#whiskey #whisky #irishhistory
About us:
TWiT.tv is a technology podcasting network located in the San Francisco Bay Area with the #1 ranked technology podcast This Week in Tech hosted by Leo Laporte. Every week we produce over 30 hours of content on a variety of programs including Tech News Weekly, MacBreak Weekly, Windows Weekly, Security Now, Intelligent Machines, and more.
Top Stories Analysis This week’s open source news is dominated by AI advancements and security. Key highlights include new open AI models challenging proprietary ones, and a major security incident involving Microsoft’s tools. The trend is clear: open source is becoming the battleground for AI innovation, but vigilance is crucial as threats evolve. NVIDIA’s Nemotron … Read more
At our Intelligence at Work CEO event we shared updates to our product roadmap. Companies that are leading in this next chapter are really leaning in with AI and reimagining industry.
Five Takeaways:
1️⃣ ChatGPT + Codex: one unified experience.
2️⃣ Agent Plugins: six role specific agents that do the work for you
3️⃣ Annotations: collab with the model in the tools you use everyday
4️⃣ Sites: go from idea to deployment in one shot
5️⃣ Robin Vince, CEO of BNY dropped knowledge:
“Are we going to be AI optimists or are we going to be AI pessimists? We choose optimism at BNY because it’s the ultimate capacity creator."
Check out the full livestream ➡️ https://openai.com/business/intelligence-at-work/
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