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- 🇮🇹IT · Technology#1681K to 10K
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500 to 5K🎙 ~2x weekly·334 episodes·Last published 3d ago - Monthly Reach
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1K to 10K🇮🇹100% - Active Followers
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400 to 4K
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On the show
From 13 epsHosts
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Recent episodes
AI Is a Gift: Rethinking Software Engineering Education and Hiring
Jun 22, 2026
56m 44s
Beyond the Hype: Open Source, Observability, and Finding Your AI Breakthrough
Jun 8, 2026
34m 18s
8 Factor Producers to Scale Platform Engineering in an AI-First world with Abby Bangser
May 25, 2026
34m 35s
Observability in the AI‑Native Era with Hilliary Lipsig and Rob Rati
May 11, 2026
51m 30s
Don't babysit your AI Agents to keep them on track with Lukas Holzer
Apr 27, 2026
38m 33s
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| Date | Episode | Topics | Guests | Brands | Places | Keywords | Sponsor | Length | |
|---|---|---|---|---|---|---|---|---|---|
| 6/22/26 | ![]() AI Is a Gift: Rethinking Software Engineering Education and Hiring | In this episode, we explore how AI is transforming education, from classrooms to corporate training. What changes are needed in schools and universities? How does AI affect both students and educators? And how should companies rethink internal training and hiring to stay competitive?To answer these questions, we’re joined by Rainer Stropek, CEO of Software Architects and Chairman of Coding Club Linz. With decades of experience teaching at high schools and universities—and helping organizations upskill their engineers—Rainer brings a unique perspective on how software engineering education is evolving.While many view AI as a threat, Rainer sees it as a “Christmas gift”—opening up endless opportunities to learn, adapt, and innovate.Tune in to hear why curiosity is more important than ever, how educational institutions can prepare future engineers, and why organizations must step up to ensure everyone has a fair chance to succeed in the age of AI.Links we discussedRainer's LinkedIn Profile: https://www.linkedin.com/in/rainerstropek/Rainer's Website: https://rainerstropek.me/CodeClub: https://codeclub.org/en/Coder DoJo Linz: https://linz.coderdojo.net/ | 56m 44s | ||||||
| 6/8/26 | ![]() Beyond the Hype: Open Source, Observability, and Finding Your AI Breakthrough✨ | open sourceobservability+4 | — | KubeConopen-source+1 | — | open sourceobservability+5 | — | 34m 18s | |
| 5/25/26 | ![]() 8 Factor Producers to Scale Platform Engineering in an AI-First world with Abby Bangser✨ | Platform EngineeringAI+3 | Abby Bangser | SyntassoCNCF+2 | — | Platform EngineeringAI+3 | — | 34m 35s | |
| 5/11/26 | ![]() Observability in the AI‑Native Era with Hilliary Lipsig and Rob Rati✨ | observabilityAI-native+5 | Hilliary LipsigRob Rati | AmazonObservability in the AI‑Native Era | — | observabilityAI-native+7 | — | 51m 30s | |
| 4/27/26 | ![]() Don't babysit your AI Agents to keep them on track with Lukas Holzer✨ | AI coding agentsengineering risks+4 | Lukas Holzer | StraionLinkedIn | — | AI agentsengineering boost+4 | — | 38m 33s | |
| 4/13/26 | ![]() From Bowling Lanes to AI Lanes: Chris LaBrado on MDCD and the AI Interface Era✨ | AI transformationsoftware development+4 | Chris LaBrado | DynaClaudeVibe Coded Root Cause Agent+2 | — | AIautomation+5 | — | 54m 02s | |
| 3/30/26 | ![]() AI-Ready Codebases: Engineering Discipline for Agentic AI with Adam Tornhill✨ | agentic AIsoftware engineering+4 | Adam Tornhill | CodeSceneYour Code as a Crime Scene+1 | — | AIsoftware engineering+5 | — | 52m 30s | |
| 3/16/26 | ![]() AI‑Native: Building Faster Than We Can Spec with Wolfgang Heider & Benedict Evert✨ | AI-native softwaresoftware engineering+5 | Wolfgang HeiderBenedict Evert | LinkedInFutureLab | — | AIsoftware engineering+6 | — | 43m 47s | |
| 3/2/26 | ![]() Resilience in the Age of AI and Why we Still Suck at it with Adrian Hornsby✨ | resilienceAI+4 | Adrian Hornsby | Resilium LabsAWS+1 | — | resilienceAI+5 | — | 51m 44s | |
| 2/16/26 | ![]() From Zero to Open Source Contributor with Diana Todea✨ | Open Source ContributionDeveloper Experience+3 | Diana Todea | Victoria MetricsOpenTelemetry+1 | — | Open SourceContributions+5 | — | 47m 17s | |
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| 2/2/26 | ![]() The many facets of an SRE with Alexandra Franz✨ | SREObservability+3 | Alexandra Franz | Dynatrace | — | SREObservability+5 | — | 48m 45s | |
| 1/19/26 | ![]() 10 Fundamentals to get Vibe Coding right with Jeff Blankenburg✨ | AI CodingVibe Coding+4 | Jeff Blankenburg | LinkedIn31 Days of Vibe Coding+2 | — | AI Coding AgentVibe Coding+4 | — | 54m 32s | |
| 1/5/26 | ![]() Semiotics - A Future of Observability we are yet to see with William Louth✨ | observabilitydistributed tracing+4 | William Louth | HumainaryServentis+2 | — | observabilitydistributed tracing+6 | — | 53m 13s | |
| 12/22/25 | ![]() From Vibe Coding to Vibe Architecting with Abhimanyu Selvan✨ | AI agentssoftware engineering+3 | Abhimanyu Selvan | UberCursor AI+1 | Cloud Native Days Austria | AI agentsride share+3 | — | 42m 38s | |
| 12/8/25 | ![]() AI-Augmented Chaos Engineering in Practice with Bartek Pisulak | Chaos Engineering is the practice to introduced controlled failures into a system with the goal to improve the overall resiliency! What started with "lets see what happens when we unplug that server" to "lets simulate network latency issues" or "lets kill critical pods and see if the system recovers gracefully" is now seeing new experiments being conducted that are identified by a new companion: AI In this episode we have invited Bartek Pisulak, Dir of Cloud Quality Engineering at Pegasystems, who has been educating quality engineers on AI-Augmented Chaos Testing in Practice. Tune in and learn about the how AI can improve efficiency in the 5 critical phases of a chaos experiment: Steady State, Hypothesis, Run Experiment, Verify, Improve!To learn more about the foundational principles make sure to watch some of the conference talks from Bartek listed below:Links discussedBartek's LinkedIn: https://www.linkedin.com/in/bart%C5%82omiej-pisulak-82b94036/Talk at Cloud Native Days Austria: https://www.youtube.com/watch?v=xUVCKNpMEz8&list=PLtLBTEzR4SqU9GwgWiaDt10-yOVIN0nzM&index=10Talk at Porto Tech Hub: https://www.youtube.com/watch?v=-ZuEaA2PoToKraken: https://github.com/krkn-chaos/krknChasoEater: https://github.com/ntt-dkiku/chaos-eater | 54m 40s | ||||||
| 11/24/25 | ![]() The Pragmatic Approach to Becoming AI-Native with Pini Reznik | There is only one successful way to adopt new technology, and that is transformational! Sounds like a high-level consulting pitch but our industry has a track record to validate this statement. Just look at the recent web or cloud-native transformations!Pini Reznik has been helping organizations along the current AI-Native transformational journey. And what a timing: He just published his book on From Cloud Native to AI-Native where he provides a pragmatic approach to leveraging AI from Pioneering to Gradually Scaling!Tune in and hear from Pini why he thinks that AI projects are not failing because of bad AI, but because they approaching the problem the old and wrong way!And, stay until the end to hear how it was to write a book about AI using AI!Links we discussedPini's LinkedIn: https://www.linkedin.com/in/pinireznik/Link to Book: https://re-cinq.com/bookOur previous episode: https://www.spreaker.com/episode/ai-native-the-next-revolution-after-cloud-native-with-pini-reznik--67692567Prompt Engineering Conference Talk: https://www.youtube.com/watch?v=W7z5XMnvYt8 | 58m 17s | ||||||
| 11/10/25 | ![]() Back to Basics: Increase DevEx in the Age of AI with Laura Tacho | Don't get stuck using AI to build faster horses. Instead, find the opportunities and rethink your software delivery processes! That, and only that, will help you increase Developer Experience and Efficiency!This episode is all about how to measure and improve DevEx in the age of Artificial Intelligence. And with Laura Tacho, CTO at DX, we think we found a perfect guest!Laura has been working in the dev tooling space for the past 15 years. In her current role at DX she is working on the evolution of DORA and SPACE into DX Core 4 and the DXI Measurement Framework.In our episode we learn about those frameworks but also how tech leaders need to rethink where and how to apply AI to improve overall efficiency, quality and effectiveness! The key takeaways from this conversation areDevEx is all about the identifying and reducing friction in the end-2-end development processTech Leaders need to become better in articulating technical change requirements to businessAs of today only 22% of code in git is really AI generated. Don't get fooled into believing AI is already betterBack to Basics makes companies successful with AI. That is: proper CI/CD, testing, documentation, observability!Here the links we discussedLaura's LinkedIn: https://www.linkedin.com/in/lauratacho/DX: https://getdx.com/Cloud Native Days Austria Talk: https://www.youtube.com/watch?v=kZ1F0-XS1l4Engineering Leadership Community: https://www.engineeringleaders.io/ | 48m 07s | ||||||
| 10/27/25 | ![]() Whats Hot in Cloud and AI-Native and what we learned from the AWS Outage | The AWS US-East problems on Oct 27th was a good reminder how depending we are on globally shared services. Built-in Resiliency is not guaranteed if systems have a hard dependency on a single region of a single vendor. Many of us have experienced systems being impacted that we use on a daily basis - some critical - some not so critical as Andi will tell you when he found out that is beloved Leberkas Pepi App didnt work!Besides this outage we discuss lessons learned from Cloud Native Days Austria, Observability and Platform Engineering Meetups in Gdansk and Tallinn as well as giving an outline to the upcoming Cloud and AI-Native US Tour from Henrik Rexed and Andi GrabnerAll the links we discussed are hereLeberkas Pepi: https://www.leberkaspepi.at/Cloud Native Austria: https://www.linkedin.com/company/cndaustria/Observability Meetup: https://www.meetup.com/observability-tech-community-meetup-group/US Tour from Henrik and Andi: https://events.dynatrace.com/noram-all-de-engineering-efficiency-tour-2025-28225/ | 46m 11s | ||||||
| 10/13/25 | ![]() How to test, optimize, and reduce hallucinations of AIs with Thomas Natschlaeger | While Artificial Intelligence seems to have just popped up when OpenAI brought ChatGPT to the consumer market it has its roots in the mids of the 20th century. But what is it that all of a sudden made it into every conversation we seem to have?Thomas Natschlaeger, Principal Data Scientist at Dynatrace, who has been working in the AI and Machine Learning space for the past 30 years gives us a brief historical overview and describes the critical evolutionary steps and compelling events in that technology that made it to what it is today. Tune in and hear about how AIs are trained, how they are optimized and most importantly: how their outputs can be tested and validated!In our conversation we discuss current trends towards small language models that will help model digital twins of our existing roles and how AIs are used to Validate other AIs like we humans do when a senior engineer does pair programming with a junior and with that provides essential feedback on current accuracy and input to improve the outcome of future tasks.Links we discussedLinkedIn Profile from Thomas: https://www.linkedin.com/in/thomas-natschlaeger/Ask Me Anything Session on Davis CoPilot: https://www.linkedin.com/posts/grabnerandi_llm-copilot-activity-7373837743971393536-QgxV?utm_source=share&utm_medium=member_desktop&rcm=ACoAAABLhVQBbh8Jkn_K8din5tsQlMCpXRNzlKUVoxxed Conference Talk: https://amsterdam.voxxeddays.com/talk/?id=39801Attention is all you need paper: https://en.wikipedia.org/wiki/Attention_Is_All_You_Need | 49m 08s | ||||||
| 9/29/25 | ![]() Hello BOB - Cloud Native Cybersecurity with Bill of Behaviors with Constanze Roedig | On September 8 the world saw the npm supply chain attack. Fortunately the community reacted in record time to avert a disaster. In todays episode we have Constanze Roedig, Key Researcher at SBA Research, who introduces us to the new buddy of SBoM (Software Bill of Materials): SBoB (Software Bill of Behaviors) and her thoughts on how that new approach to fingerprinting software can help cyber security teams. What's a BoB? It's a detailed runtime behavior profile of software. It expands on the static validation option through SBOMs as it allows security teams to validate the correct execution behavior of deployed software at deploy time or continuously in production. Thanks to eBPF, a malicious behavior such as opening non expected ports or accessing non expected files can therefore be detected.Listen to Constanze who shares the work she and Vadim Bauer, Owner of 8gear, have done on this topic. You will learn about how software vendors can create their own SBOBs, ship them with their container images and how security teams can get alerted or enforce any detected malicious behavior. Make sure to check out their GitHub repo, star it if you like it and try their hands-on tutorial!Links:Constanze LinkedIn: https://www.linkedin.com/in/croedig/Vadim LinkedIn: https://www.linkedin.com/in/vadim-bauer/OBobCtl GitHub Repo: https://github.com/k8sstormcenter/bobctlCloud Native Summit Munich Talk: https://www.youtube.com/watch?v=XETuwndd_mw&index=11&pp=iAQBnpm supply chain attack: https://www.infosecurity-magazine.com/news/npm-supply-chain-attack-averted/ | 27m 05s | ||||||
| 9/15/25 | ![]() AI-Native: The Next Revolution after Cloud Native with Pini Reznik | Defining AI-Native in 2025 is like trying to define Cloud Native back in 2014! We are in the early stages of understanding what AI really means to us. The ecosystem is just evolving, and many organizations are still struggling with re-architecting their digital systems to cloud native patterns!To learn more about the current transformational wave—the AI-Native Wave—we have invited Pini Reznik, CEO and Co-Founder of re:cinq. We will discuss what we can learn from previous "waves of innovation," why the business must care, and why the primary AI use case should not be just cost-cutting! Make sure to get a copy of his book or catch his talk from Cloud Native Munich. All links we discussed here:Pini's LinkedIn: https://www.linkedin.com/in/pinireznik/The Next Transformation Mini Book: https://re-cinq.com/mini-bookCloud Native Munich Talk: https://www.youtube.com/watch?v=CHb3TLEV8ZU | 51m 55s | ||||||
| 9/1/25 | ![]() State of AI Observability with OpenLLMetry: The Best is Yet to Come with Nir Gazit | Most AI projects still fail, are too costly, or don't provide the value they hoped to gain. The root cause is nothing new: it's non-optimized models or code that runs the logic behind your AI Apps. The solution is also not new: tuning the system based on insights from Observability!To learn more about the state of AI Observability, we invited back Nir Gazit, CEO and Co-Founder of traceloop, the company behind OpenLLMetry, the open source observability standard that is seeing exponential adoption growth!Tune in and learn how OpenLLMetry became such a successful open source project, which problems it solves, and what we can learn from other AI project implementations that successfully launched their AI Apps and AgentsLinks we discussedNir's LinkedIn: https://www.linkedin.com/in/nirga/OpenLLMetry: https://github.com/traceloop/openllmetryTraceloop Hub LLM Gateway: https://www.traceloop.com/docs/hub | 50m 35s | ||||||
| 8/11/25 | ![]() Platform Engineering is not just a trend and why Terraform is not dead with Artem Lajko | Did you know that the average salary for a Platform Engineer is 42.5% more than a DevOps engineer? But why is that?We sat down with Artem Lajko, CNCF Kubestronaut and Ambassador as well as Author of the book Implementing GitOps with Kubernetes. We dive into the role of a platform engineer, the common pitfalls in implementing IDPs and why Backstage and AI won't solve all your problems. And we touch upon a topic hot off the press around Terraform: Its not dead!Links we discussedArtem's LinkedIn: https://www.linkedin.com/in/lajko/Talk slides from Cloud Land: https://lajko10-my.sharepoint.com/personal/artem_lajko_dev/_layouts/15/onedrive.aspx?id=%2Fpersonal%2Fartem%5Flajko%5Fdev%2FDocuments%2FAttachments%2Fcloud%20land%2D2025%5F%2Epdf&parent=%2Fpersonal%2Fartem%5Flajko%5Fdev%2FDocuments%2FAttachments&ga=1State of Platform Engineering Report: https://platformengineering.org/reports/state-of-platform-engineering-vol-3Upjet GitHub Project: https://github.com/crossplane/upjet | 47m 46s | ||||||
| 7/28/25 | ![]() What is Privacy Engineering and Why Its not as complicated as it sounds with Cat Easdon | "Privacy engineering is the art of translating privacy laws and policies into code, figuring out how to make legal requirements such as ‘an individual must be able to request deletion of all their personal data’ a technical reality.", was the elegant explanation from Cat Easdon when asked about what she is doing in her day job.If you want to learn more then tune in to this episode. Cat, Privacy Engineer at Dynatrace, shares her learnings about things such as: When the right time is to form your own privacy engineering team, why privacy means different things for different people and regulators and what privacy considerations we specifically have in the observability industry so that our users trust our services!Links:Cat's LinkedIn Profile: https://www.linkedin.com/in/easdon/Publications from Cat: https://www.dynatrace.com/engineering/persons/catherine-easdon/Blog on Managing Sensitive Data at Scale: https://www.dynatrace.com/news/blog/manage-sensitive-data-and-privacy-requirements-at-scale/Semgrep for lightweight code scanning: https://github.com/semgrep/semgrepThe IAPP: https://iapp.org/'Meeting your users' expectations' is formally described by the theory of contextual integrity: https://www.open.edu/openlearncreate/mod/page/view.php?id=214540Facebook's $5 billion fine from the FTC: http://ftc.gov/news-events/news/press-releases/2019/07/ftc-imposes-5-billion-penalty-sweeping-new-privacy-restrictions-facebookFact-check: "The $5 billion penalty against Facebook is the largest ever imposed on any company for violating consumers’ privacy and almost 20 times greater than the largest privacy or data security penalty ever imposed worldwide. It is one of the largest penalties ever assessed by the U.S. government for any violation." I think that's still true; the largest fine under the GDPR was €1.2 billion (again for Facebook/Meta) | 53m 22s | ||||||
| 7/14/25 | ![]() Platform Democracy NOW! How to keep your Platform Promise with Daniel Bryant | More than 50% of platform engineering leads don't know how to measure the impact of their platform! Many platform projects fall into common anti-pattern traps that make the platform look great on Day 1 but fail to scale and excite on Day 2!Daniel Bryant - who's profile tagline is "Helping you build better platforms" - is sharing his thoughts on how to measure the value of your platform, how to avoid common anti-patterns and why he believes that the future of platform engineering is in Platform Democracy!And of course, we wrap everything up with a discussion around the impact of Agentic AI towards platform engineering. So - tune in! Here the links we discussedDaniel's LinkedIn Profile: https://www.linkedin.com/in/danielbryantuk/Platform Engineering Book for Technical Product Leaders: https://www.amazon.de/Platform-Engineering-Technical-Product-Leaders/dp/1098153642/ref=asc_df_1098153642Platform Engineering Day Talk: https://www.syntasso.io/post/syntasso-at-platengday-london-presentation-recapKratix Website: https://www.kratix.io/Ai-Driven Platform Engineering Blog: https://www.syntasso.io/post/what-we-learned-building-a-prototype-ai-driven-dev-interface-for-kratixPlatform Democracy: https://www.syntasso.io/post/platform-democracy-rethinking-who-builds-and-consumes-your-internal-platformPlatform Anti Patterns: https://www.syntasso.io/post/platform-building-antipatterns-slow-low-and-just-for-showSlide Deck on Platform Engineering for Devs and Architects: https://speakerdeck.com/danielbryantuk/platform-engineering-for-software-developers-and-architects-redux | 47m 27s | ||||||
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Chart Positions
1 placement across 1 market.
Chart Positions
1 placement across 1 market.

























