Podcasts about platform engineering

This presentation was recorded at GOTO Copenhagen 2025.https://gotocph.comAbby Bangser - Principal Engineer at Syntasso & Team Topologies AdvocateDave Farley - Bestselling Author, Founder & Director of Continuous Delivery Ltd.RESOURCESAbbyhttps://bsky.app/profile/abangser.bsky.socialhttps://twitter.com/a_bangserhttps://github.com/abangserhttps://www.linkedin.com/in/abbybangserhttps://www.syntasso.io/members-area/abby/profileDavehttps://bsky.app/profile/davefarley77.bsky.socialhttps://www.continuous-delivery.co.ukhttps://linkedin.com/in/dave-farley-a67927https://twitter.com/davefarley77http://www.davefarley.netDESCRIPTIONDave Farley and Abby Bangser open with a clear statement: Continuous Delivery isn't a relic of the pre-AI era — it's the foundation that makes the AI era survivable. Dave's definition is simple but consequential: software should always be in a releasable state, verified after every small change. That's not just a workflow preference; it's the same incremental, hypothesis-driven approach that underpins science and engineering. In an AI-assisted world where code can be generated far faster than humans can reason about it, the discipline of small, safe, verifiable steps becomes more critical, not less. The danger isn't AI writing bad code — it's AI writing a lot of code very fast that nobody is properly checking.The conversation turns to a genuinely alarming DORA report statistic: 70% of developers using AI tools don't distrust the output. Abby draws a parallel to the long-running debate over whether developers can be trusted to test their own code — they usually can't, without a deliberate change in perspective. The same challenge applies to AI-generated code: you need to consciously shift from "prompter" mode to "verifier" mode, and most developers aren't making that switch. Dave closes with a surprising note of optimism: AI may be the industry's best-ever opportunity to finally get XP practices — small increments, automated tests, continuous feedback — embedded into how teams actually work. Not because anyone chose to adopt them ideologically, but because working without them while using AI is visibly, measurably risky.Read the full abstract here:https://gotocph.com/2025/sessions/3779RECOMMENDED BOOKSKief Morris • Infrastructure as Code • https://amzn.to/4e6EBQcMatthew Skelton & Manuel Pais • Team Topologies • http://amzn.to/3sVLyLQDave Thomas • simplicity • https://amzn.to/43FghBJDave Farley & Jez Humble • Continuous Delivery • https://amzn.to/3ocIHwdDavid Farley • Modern Software Engineering • https://amzn.to/3GI468MDave Farley • Continuous Delivery Pipelines • https://amzn.to/3rjetdiBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Before he founded Render, Anurag Goel was the fifth engineer at Stripe, where he watched roughly a fifth of the engineering team disappear into managing AWS, writing brittle, repetitive, error-prone infrastructure scripts that had nothing to do with the actual product. That experience became the seed for Render: a platform that automates away the undifferentiated DevOps work and lets application teams ship without standing up their own cloud team. Today, millions of developers build on it, and Render has raised over $260M from Bessemer and General Catalyst. In this episode, Tobi and Anurag get into what's actually changing as AI moves from hype to production. Anurag makes the case that agents are simply a new kind of application, long-running, stateful, tool-heavy, and a new kind of end user you have to design for. He explains why Render deliberately refuses the "AI cloud" label, what he's building with Workflows and sandboxes, and why the hardest part of shipping agents isn't building them but seeing inside them. The conversation also goes wide: how to hire executives when interviews lie, why short-lived keys and blast-radius thinking matter more than container escapes, how distribution is shifting from SEO to getting ChatGPT and Claude to recommend you, and why, despite all the "SaaS is dead" noise, specialization isn't going anywhere. Topics covered: Why ~20% of Stripe's engineers were stuck managing AWS and how that became Render "We're not the AI cloud, we're the application cloud," and why the distinction matters Agents, as a new type of application (and a new end user), you have to build for Render Workflows and sandboxes: the consolidated AI runtime Hiring executives when interviews are an imperfect signal Security as blast-radius management: short-lived keys over "admin forever" The shift from SEO to GEO, getting chatbots to recommend your product Why SaaS isn't dying, and specialization still wins

Michael Galloway leads Platform Engineering at Mercari, while Snehal Shinde leads Cost and Performance Engineering. Together, they have been at the center of Mercari's effort to become an AI-native company.In this session from DX Annual, Michael and Snehal share what happened after Mercari's CEO mandated 100% AI adoption across the organization. While AI accelerated code generation and increased engineering output, the team quickly discovered that their existing dashboards could not answer a simple question: was AI actually improving productivity?They discuss how Mercari built new visibility into AI usage and software delivery, the bottlenecks they uncovered across the SDLC, why faster coding did not automatically translate into faster delivery, and the lessons they learned rolling out AI at scale. They also share how Mercari is rethinking software development around agents, feedback loops, and new ways of working.In this episode, we cover:(00:00) Intro(01:46) Mercari's scale and engineering culture(02:51) DX awards at Mercari(03:44) Mercari's push to become AI-native(06:34) The mandate to rethink everything(08:02) Mercari's AI visibility problem and how they solved it(11:30) Mercari's early findings on AI implementation(18:47) Closing the AI awareness gap at Mercari(21:11) Mapping AI opportunities across Mercari(31:32) Unpacking the results from the second rollout(34:14) Agent spec-driven development and what's next(37:37) A multi-loop SDLC(40:50) Some hard lessons(42:55) Closing thoughtsReferenced:• Mercari• Cursor• Devin• Claude Code | Anthropic's agentic coding system• GitHub• Datadog• Tim Bozarth - Microsoft | LinkedIn• Airbnb• Jim Collins - Concepts - The Stockdale Paradox

In this session from DX Annual, Eleanor Millman, Senior Staff Product Manager, and Mina Tawadrous, Associate Director of Product Management at SiriusXM, share how their platform engineering organization developed a prioritization framework for platform engineering teams serving hundreds of developers across a complex cloud platform.They explain how they define and weight platform-specific impact factors, use developer data to refine priorities, and score projects more consistently. They also explore why prioritization debates often stem from conflicting, invisible, or outdated assumptions, and how SiriusXM began treating assumptions like code by documenting, versioning, and reviewing them in source control.Finally, they demonstrate how AI can surface assumptions, connect initiatives to existing knowledge, and support project scoring while keeping humans in the loop. Throughout the session, they offer a practical framework for making prioritization decisions more transparent, data-driven, and scalable. In this episode, we cover:(00:00) Intro(02:58) Building a platform engineering prioritization framework(04:59) The seven platform engineering impact factors(09:38) Using impact factors to score projects(13:11) Using developer data to refine priorities(16:33) Three ways assumptions fail (17:40) Assumptions as code (21:00) New problems created by assumptions as code(22:00) Using AI to surface assumptions(23:44) Building an AI-powered feedback loop(25:44) Inside the AI prioritization tool(28:18) Three steps to build your own framework(30:02) Q&A #1: Evaluating high-cost projects(31:30) Q&A #2: The cadence of iteration (32:10) Q&A #3: When the framework conflicts with a stakeholder's priorities(35:26) Q&A #4: Using the framework for non-developersReferenced:• AWS• Databricks• RICE: Simple prioritization for product managers• Designing developer experience surveys• GSB Preserve | View | The Curse of Knowledge

OpenChoreo is an opinionated, “batteries included”, AI-native Kubernetes platform stack for Platform Engineers that combines GitOps, Observability, AI Agents, and Workflows into a custom K8s distribution “super pack” that is managed via Backstage, CLI, API, or MCP. Now a CNCF project.Check out the video podcast version here: 

Состояние DevOps в 2026: Platform Engineering, AI-агенты и что стало с junior-инженерами. Собрались на кухне с тимлидом системного юнита из большой компании - поговорить что и как сейча. О ЧЁМ ВЫПУСК • DevOps vs SRE в 2026: где проходит граница и почему «you build it, you run it» иногда создаёт больше проблем, чем решает. • War story: упавший Kubernetes во время корпоратива с пивом - классика первых K8s-внедрений. • Момент, когда DevOps ломается: 600 сервисов, 3600 пайплайнов и почему каждый новый инженер пишет 3601-й. • Platform Engineering: зачем нужна платформа, что такое метаплатформы и как устроены слои внутри крупной компании. • Junior + AI = middle: что изменилось с приходом AI-ассистентов и сколько теперь занимает обучение DevOps. • AI в работе DevOps прямо сейчас: мультиагентные помощники для расследования инцидентов, внутренние vs внешние модели. • Реальные AI-катастрофы 2025-2026: Replit дропнул базу и бэкапы, сервис аренды машин ушатал прод. • Multi-agent flow: refiner + архитектор + автономный бот, PR за час вместо недели. • Тимлидам: не носи инженерам PR, которые ты навайпкодил за вечер. • Что реально учить в 2026: Linux, сеть, Kubernetes, один язык программирования и AI-грамотность. • Знать базу vs спрашивать AI: почему без фундамента ты не поймёшь, куда тебя модель направляет. ГОСТЬ В гостях - Андрей Волхонский, руководитель юнита System в Центре разработки инфраструктуры Авито. 13+ лет опыта: от Windows-DevOps в TravelLine и Kaspersky до платформенной инженерии в большой продуктовой компании. ССЫЛКИ

Cybersecurity is Bigger Than Hacking | Nate Butler on Career Pathways, Mentorship & GRC Chapters0:00 Welcome to Cyber Crime Junkies0:31 From IT to Cybersecurity | Nate's Career Shift3:34 The Mentor Moment That Changed Everything5:33 Meet The Power of Mentorship8:13 CISM Certification | A Level Up from Security+10:43 Cybersecurity is Bigger Than Hacking12:00 GRC Explained | The Glue That Holds It Together15:40 Governance Risk Compliance for SMBs16:29 Speaking at High School | Youth Outreach17:41 Teaching Kids Cybersecurity Without Fear21:28 Parental Conversation | Gaming Safety & Sextortion Prevention23:42 Communication Across Generations25:37 Explaining Tech Simply to Business Leaders26:47 LinkedIn vs TikTok Strategy27:00 Two Platforms, Two Different Animals28:28 Live TikTok | Building Community Around Real Conversation31:26 Authenticity Over Polish | What Drives Engagement34:02 AI, Claude Code & Building Apps36:39 From Paying for Services to Building Your Own39:44 DevOps, Platform Engineering & Infrastructure Roles41:20 Using AI to Automate Your Own Workflow45:36 Book Trilogy | Breaking Into Cybersecurity48:05 The Second Book | Navigating the Space with Keith51:30 More Content Coming | Guests, Live Streams & Growth54:00 Anyone Can Do This Work56:00 Final Thoughts on Mentorship & OpportunityQuestions? Text our Studio direct. We read these and when helpful we give a special shout out for those to contact us.I wrote Moving Target because overconfidence is the enemy. Hardcover, paperback, Kindle, and audiobook. Amazon, Barnes and Noble, and more. I wrote the Moving Target Trilogy because overconfidence is the enemy. Hardcover, paperback, Kindle, and audiobook. Amazon, Barnes and Noble, and more. Growth without Interruption. Get peace of mind. Stay Competitive-Get NetGain. Contact NetGain today at 844-777-6278 or reach out at DMauro@NetGainIT.com or find more at www.NETGAINIT.com   Support the showNew Exclusive Offers for our Listeners! New non-fiction Book Series is out! Moving Target: The Art of Online Camouflage drops April 14.Moving Target: The Obedient Machine drops April 21.Book 3 -- Ghost and the Machine -- out soon!

This episode looks at why career growth in technology rarely happens by accident, and what people working in tech can actually do to take control of their own progression. Ben sits down with Jeremy Burns, VP of Platform Engineering at Hawke and author of Earn More Move Up, to dig into the mechanics that decide who gets promoted, who gets paid more, and who quietly stalls. The conversation centres on a simple hierarchy that Jeremy uses for almost every career decision: customer, company, team, self. Reverse that order and your career suffers. Get it the right way round and the rewards follow naturally because you are creating real value for the business. They also unpack the unwritten contract every employment relationship lives inside, the difference between endorsing and adjusting feedback, and why pay rises and promotions are a lagging indicator of work you did six to nine months ago. Jeremy explains why walking into a performance review with a beautiful self-pitch document is almost always too late, and what to do instead. Ben adds the leadership view from his time managing budgets at Microsoft, including the moment a manager sits down with their final pot of cash and realises someone has been quietly invisible all year. The final section is about knowing when to leave. Jeremy uses the boat metaphor to talk about staying, accepting your boat, or moving on. Ben shares the eighteen months of planning that sat behind his decision to leave Microsoft and start Elevated You. The throughline is the same idea Jeremy returns to throughout: be first to your own rescue. About the guest: Jeremy Burns is VP of Platform Engineering at Hawke, host of the Build Your Edge podcast, and author of Earn More Move Up. He started in marketing, taught himself to code, and worked through development and management into senior technology leadership over a long career. His view sits at the rare intersection of having been on both sides of the performance review table. Listen and subscribe: Spotify: https://lnkd.in/eUGUEB7s Apple Podcasts: https://lnkd.in/eMHTNE-3 YouTube: https://lnkd.in/esq9jDs2 Newsletter and archive: https://www.techworldhumanskills.com Connect with Ben: https://www.linkedin.com/in/benpthoughts Connect with Jeremy: https://www.linkedin.com/in/jeremyburns/

In 2011 Heroku defined the 12 factor app to remove emerging bottlenecks as developers tried to scale their output when they moved from building monoliths to microservices. In Platform Engineer we see a repeating pattern called the "8 Factor Platform Producers".  AI allows engineering teams to speed up but they face bottlenecks as platform capabilities are not scaling with that demand as they are often depending on a central platform engineering team to be built and maintained.To learn more about 8 Factor Platform Producers we invited Abby Bangser,  Founding Principal Engineer at Syntasso and CNCF Ambassador. She gave an amazing talk at KubeCon in Amsterdam and today walks us through the need of defining both consumers and producers for platforms to eliminate any emerging bottlenecks in Platform Engineering and allow an organization to reap the benefit of speeding up with AILinks we discussed:Abby's LinkedIn: https://www.linkedin.com/in/abbybangser/Abby's Kubecon Keynote: https://www.youtube.com/watch?v=8t0-5cvvMGM&list=PLj6h78yzYM2MXCOWSN9CqqID6OOvF7wxL&index=3012 Factor Apps: https://12factor.net/CNCF Whitepaper: https://cloudnativeplatforms.com/whitepapers/platforms/

In Elixir Wizards S15E04, Charles Suggs and Emma Whamond are joined by Somtochi Onyekwere, a software engineer at Fly.io and contributor to the Corrosion distributed database project, to talk about distributed systems, infrastructure resilience, and the growing fragility of centralized cloud platforms.   We discuss what recent outages across major providers reveal about modern infrastructure and why more teams are starting to rethink assumptions around reliability, failover, and system design. Somtochi explains how Fly.io approaches geographic distribution, eventual consistency, and replication across nodes, along with the trade-offs that come with building systems this way.   The conversation explores CRDTs (Conflict-free Replicated Data Types), consensus, split-brain prevention, and what actually happens when distributed systems fail in production. We also talk about testing strategies, rollback planning, property-based testing tools, and how teams can reduce blast radius when things inevitably go wrong.   Along the way, we discuss AI infrastructure, sandboxing AI agents, and how newer workloads may add pressure to already centralized systems. The episode closes with practical advice for developers who want to build more resilient applications without over-complicating their architecture. Topics Discussed in this Episode: Corrosion and distributed database replication Centralized cloud fragility and recent outage patterns Distributed systems versus traditional cloud architectures Multi-region deployment strategies for Phoenix applications CRDTs and conflict resolution in distributed systems Eventual consistency versus strict consistency tradeoffs Consensus, leader election, and split-brain prevention Testing failover and recovery scenarios Property-based testing and Antithesis Rollback planning for database schema migrations Reducing blast radius through system isolation Health checks and blue-green deployment strategies Fly Proxy request routing and replay behavior Cross-region synchronization and replication challenges Single points of failure inside “redundant” systems Backup restoration testing and disaster recovery planning Network partitions and failure handling in production Infrastructure monitoring and operational visibility AI infrastructure workloads and operational strain Sandboxing and securing AI agents Sprites and AI workflows at Fly.io Latency improvements from geographic distribution Distributed systems tradeoffs in real-world environments Transitive dependency failures across cloud providers Practical resilience strategies for modern engineering teams Links Mentioned: https://fly.io https://github.com/superfly/corrosion https://docs.gitops.weaveworks.org/ FluxCD https://fluxcd.io/ Fly.io Stateful Sandbox Environments https://sprites.dev/ Cloudflare Workers AI Inference Platform https://www.cloudflare.com/products/workers-ai/ “An AI Agent Just Destroyed Our Production Data. It Confessed in Writing” Twitter post from PocketOS founder: https://x.com/lifeof_jer/status/2048103471019434248 Oct 2025 AWS Outage https://www.theguardian.com/technology/2025/oct/24/amazon-reveals-cause-of-aws-outage Dec 2025 Cloudflare Outage https://www.theguardian.com/technology/2025/dec/05/another-cloudflare-outage-takes-down-websites-linkedin-zoom July 2025 Crowdstrike Outage https://www.ibm.com/think/news/recent-crowdstrike-outage-what-you-should-know March 2026 Stryker Cyber Attack https://www.stryker.com/us/en/about/news/2026/a-message-to-our-customers-03-2026.html https://aws.amazon.com/ https://cloud.google.com/ https://azure.microsoft.com/en-us https://fly.io/docs/elixir/ CRDTs!! https://smartlogic.io/podcast/elixir-wizards/s13-e03-local-first-liveview-svelte-pwa/ https://antithesis.com/docs/resources/property_based_testing/ https://hex.pm/packages/proper

This week, we're joined by Lev Andelman to chat about AI and how Platform Engineering and DevOps are evolving to meet it via Harness Engineering.

In Season 15 episode 2, Elixir Wizards Sundi Myint and Charles Suggs chat with Micah Cooper to talk about distributed systems, data replication, and what it actually looks like to build these ideas in Elixir.   Micah shares his journey from Ruby to Elixir and walks us through Visor, a library he's building based on the Viewstamps replication algorithm. Inspired by systems like TigerBeetle, Visor explores how you can replicate state across nodes using GenServers, giving you fault tolerance and recovery without relying entirely on traditional database patterns.   We talk about the difference between distributed systems and data replication, where things tend to get misunderstood, and what changes when you start thinking about state this way. The conversation also touches on event sourcing, tradeoffs in system design, and how Elixir's distributed model makes some of these concepts more approachable than you might expect.   Along the way, we talk about building for curiosity, experimenting with new ideas, and how projects like this push the ecosystem forward.   Topics discussed in this episode: Building Visor and working with the Viewstamps replication model Replicating GenServer state across nodes Distributed systems vs. data replication Lessons from TigerBeetle and financial system design Event sourcing challenges and tradeoffs Rethinking database-first architectures Snapshotting, recovery, and fault tolerance The role of Elixir's distributed model Experimentation, learning, and building for curiosity   Links mentioned: Micah's GitHub https://github.com/mrmicahcooper Micah's GitLab https://gitlab.com/mrmicahcooper The Visor repository: https://gitlab.com/mrmicahcooper/visor Visor Hex Package https://hex.pm/packages/visor Ruby on Rails https://rubyonrails.org/ Phoenix LiveView Framework https://www.phoenixframework.org/ Zig Programming Language https://ziglang.org/ TigerBeetle https://tigerbeetle.com/ TigerBeetle internal docs https://github.com/tigerbeetle/tigerbeetle/tree/main/docs/internals The BEAM https://www.erlang-solutions.com/blog/the-beam-erlangs-virtual-machine/ GenServer https://hexdocs.pm/elixir/GenServer.html Apache Kafka https://github.com/apache/kafka RabbitMQ https://www.rabbitmq.com/ Redpanda https://www.redpanda.com/ SQL https://www.ibm.com/think/topics/structured-query-language Kubernetes https://kubernetes.io/ YAML https://yaml.org/ Nomad Workload Orchestrator https://developer.hashicorp.com/nomad Flutter https://flutter.dev/ Commanded https://hexdocs.pm/commanded/Commanded.html Go Programming Language https://go.dev/ Clojure Programming Language https://clojure.org/ Nebulex https://hexdocs.pm/nebulex/Nebulex.html Mnesia https://www.erlang.org/doc/apps/mnesia/mnesia.html Cachex https://hexdocs.pm/cachex/Cachex.html libgraph https://hexdocs.pm/libgraph/Graph.html Horde https://hexdocs.pm/horde/Horde.Registry.html NocFree split keyboard https://www.nocfree.com/ Micah's LinkedIn https://www.linkedin.com/in/micah-cooper-4a737560/ 

"Pour moi, la prod, ça doit être un sujet qui est relaxant" Le D.E.V. de la semaine est Kevin Davin, Google Developer Expert Cloud et Kotlin, SRE chez Gradle.Dans cet épisode, on clarifie la frontière (parfois floue) entre SRE et DevOps, et comment la philosophie DevOps s'oppose au métier concret de SRE. Kevin décortique la question des rôles et des responsabilités, l'importance de l'erreur budget, et l'impact réel des outils managés et de l'IA. On discute de la montée en puissance de l'observabilité, du modèle déclaratif et de la responsabilité partagée du run. Au final, la prod n'est pas forcément synonyme de tension : bien maîtrisée, elle peut même devenir relaxante.Chapitrages00:01:06 : Introduction au DevOps et SRE00:01:20 : Présentation de Kevin00:02:37 : Rôles et responsabilités SRE et DevOps00:05:23 : La collaboration entre Dev et Ops00:09:49 : Concept d'erreur budget00:12:35 : Importance de l'observabilité00:14:42 : Évolution des technologies et des métiers00:17:43 : Platform Engineering et ses implications00:20:49 : Complexité croissante des technologies00:23:42 : Conseils pour les développeurs00:28:34 : Intérêt pour la production00:32:17 : Changements dans les pratiques de travail00:37:42 : Impact de l'IA sur les métiers00:41:41 : Vers une intégration des rôles00:45:24 : Conclusion et réflexions finales Liens évoqués pendant l'émission Série: Sense 8

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 of AI. Enterprises are bringing workloads back on-premises while still expecting a cloud-like operating model. Broadcom is responding by prioritizing on-prem stability and aligning closely with open source, reflecting its strong contributions toKubernetesand related projects. Kubernetes is no longer a bolt-on but the core control plane of VCF, enabling unified management of compute, storage, and networking through declarative APIs. At the same time, the distinction between virtual machines and containers is fading. The focus is shifting toward application-centric platforms, where developers interact through consistent abstractions, allowing infrastructure to be provisioned seamlessly behind the scenes. Learn more from The New Stack around the latest around Broadcom:  Broadcom ‘Doubles Down' on Open Source, Donates Kubernetes Tool to CNCF Why Broadcom gave Velero to the CNCF Sandbox — and what it means for Kubernetes data protection Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

This presentation was recorded at GOTO Copenhagen 2025.https://gotocph.comRebecca Parsons - CTO Emerita at ThoughtworksGregor Hohpe - Author of "Platform Strategy", "The Software Architect Elevator", et al.Barry O'Reilly - Founder at Black Tulip Tech and Author of "Residues" & "The Architect's Paradox"Andrew Harmel-Law - Technical Principal at Thoughtworks & Author of "Facilitating Software Architecture"RESOURCESRebeccahttps://www.linkedin.com/in/rebecca-parsons-871491https://twitter.com/rebeccaparsonsGregorhttps://twitter.com/ghohpehttps://www.linkedin.com/in/ghohpehttp://eaipatterns.comhttps://architectelevator.comBarryhttps://bsky.app/profile/technologytulip.bsky.socialhttps://www.linkedin.com/in/barry-o-reilly-b924657https://www.blacktulip.seAndrewhttps://bsky.app/profile/andrewhl.bsky.socialhttps://twit.social/@ahlhttps://x.com/al94781https://github.com/andrewharmellawhttps://www.linkedin.com/in/andrewharmellawhttps://andrewharmellaw.github.ioABSTRACTSpeakers interview each other on topics that matter to them. [...]Read the full abstract here:https://gotocph.com/2025/sessions/3782RECOMMENDED BOOKSFord, Parsons, Kua & Sadalage  • Building Evolutionary Architectures 2nd Edition • https://amzn.to/3lqr5Q8Gregor Hohpe • Platform Strategy • https://amzn.to/4cxfYdbGregor Hohpe • The Software Architect Elevator • https://amzn.to/3F6d2axBarry O'Reilly • Residues • https://leanpub.com/residualityBarry O'Reilly • The Architect's Paradox • https://leanpub.com/architectsparadoxAndrew Harmel-Law • Facilitating Software Architecture • https://amzn.eu/d/5kZKVfUBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Eleanor Millman, Senior Staff Product Manager, and Mina Tawadrous, Associate Director of Platform Engineering at SiriusXM, join host Justin Reock to discuss how platform teams can scale prioritization without relying on revenue.They share how SiriusXM moved beyond RICE to build a custom framework for internal platforms, using weighted factors like developer speed, reliability, cost, and trust to guide decisions across teams.The episode also explores their concept of “assumptions as code,” in which teams store and reuse assumptions in a central repository to reduce misalignment and improve decision-making, with AI helping to surface and validate those assumptions.They close with how this system is shaping SiriusXM's 2026 prioritization approach and what it signals about a broader shift toward builder-driven product development.Where to find Eleanor Millman: • LinkedIn: https://www.linkedin.com/in/eleanor-millman-98b10350Where to find Mina Tawadrous: • LinkedIn: https://www.linkedin.com/in/mina-tawadrous Where to find Justin Reock:• LinkedIn: https://www.linkedin.com/in/justinreockIn this episode, we cover:(00:00) Intro(01:17) Mina's role and path into platform engineering(02:03) Eleanor's background and shift into product(03:15) Scaling prioritization across platform engineering teams(05:41) Aligning platform priorities with stakeholders(09:08) Evolving RICE into a platform-specific prioritization framework(11:33) Iterating on the prioritization framework over time(16:57) How the framework, data, and conversations drive alignment(19:06) Storing assumptions as code in a central repository(26:47) Resolving assumption conflicts with user interviews(30:47) How stored assumptions integrate with AI workflows(35:30) Standard mode and different user personas(37:20) The industry shift towards builders(41:04) The challenges of platform engineering(43:36) How SiriusXM is prioritizing in 2026Referenced:• Measuring AI code assistants and agents• SiriusXM • VMware• How SiriusXM revamped their platform and developer experience• RICE Scoring Model | Prioritization Method Overview• The evaporating cloud: A tool for resolving workplace conflict

Suzanne Daniels is a Top Microsoft Advisor who works with CTOs and engineering leaders across EMEA on developer productivity, GitHub, and AI adoption. Her take: the industry is obsessing over coding speed, but that was only ever level one. The real shift is in who defines the solution, not who writes the code.In this episode, we cover:Why the "55x faster coding" marketing misses the point entirelyThe counterintuitive research showing junior engineers adopt AI faster than seniors"Coding is cheap, software is expensive" and what that means for your careerHow the boundary between product and engineering is disappearingWhy most AI coding tools are 80% the same and what to focus on insteadWhether you're early in career and struggling to land a role, or a senior engineer rethinking where your value lies, Suzanne breaks down what actually matters when the coding part becomes cheap.Timestamps:00:00:00 - Intro00:01:15 - Is AI Productivity the Whole Story?00:03:26 - Why Outcomes Matter More Than Code Output00:04:13 - The Real Value Was Never in the Coding00:06:06 - The Product-Engineering Boundary Is Disappearing00:07:37 - Why Junior Engineers Are Actually in High Demand00:09:41 - Research Says Juniors Adopt AI Faster Than Seniors00:11:31 - The Rise of Comb-Shaped Engineers00:12:32 - The Energy Juniors Bring That Teams Need00:14:06 - How Seniors Codify Knowledge for Agents and Humans00:16:35 - Advice for Early Career Engineers Right Now00:19:04 - Old Principles Getting a New Polish00:21:13 - Coding Is Cheap, Software Is Expensive00:22:52 - Will Agentic Development Change Your Programming Language?00:24:53 - What Even Is an Application in the Agent Era?00:28:34 - The Authenticity Paradox of AI-Written Content00:30:12 - Why Your AI Output Needs a Human Value Add00:32:12 - Is Open Source at Risk Because of AI?00:35:09 - When Your Favorite Tool Doesn't Follow You to the Next Job00:36:45 - Most AI Coding Tools Are 80% the Same00:38:15 - What Engineering Leaders Should Enable Beyond Licensing00:42:58 - Should You Leave If Your Company Won't Let You Experiment?00:45:16 - Platform Engineering as the Foundation for AI AdoptionGuest: Suzanne Danielshttps://www.linkedin.com/in/suzannedaniels#SoftwareEngineering #AICoding #BeyondCoding

This interview was recorded for GOTO Unscripted.https://gotopia.techWilliam Rizzo - Global Field CTO at Mirantis & CNCF AmbassadorColin Griffin - CEO at Krumware & Co-Chair of CNCF Platform Engineering Working GroupRESOURCESWilliamhttps://bsky.app/profile/williamrizzo.bsky.socialhttps://www.linkedin.com/in/william-rizzohttps://github.com/wrkodeColinhttps://bsky.app/profile/devnetes.bsky.socialhttps://github.com/krumwarehttps://www.linkedin.com/in/colin-e-griffinLinkshttps://www.cncf.io/reports/cloud-native-artificial-intelligence-whitepaperhttps://cloudnativeplatforms.com/whitepapers/platform-eng-maturity-modelDESCRIPTIONColin Griffin and William Rizzo explore the evolving state of platform engineering in 2026. They discuss how the discipline plays out very differently across verticals such as fintech, telco, and automotive, and why generic frameworks must be tailored to the unique regulatory, cultural, and technical realities of each industry.The conversation moves through the growing pressure to align platform investments with measurable business outcomes, the distinct compliance challenges facing European organizations under tightening AI regulation, and the infrastructure reckoning triggered by large-scale GPU investment. Both speakers converge on a shared wish: that the CNCF Platform Engineering White Paper and Maturity Model be updated to reflect vertical-specific guidance, informed directly by end-user organizations.RECOMMENDED BOOKSGregor Hohpe • Platform Strategy • https://amzn.to/4cxfYdbGregor Hohpe • Cloud Strategy • https://amzn.to/3TOS3NvZhamak Dehghani • Data Mesh • https://amzn.to/3tTCwACSandeep Uttamchandani • The Self-Service Data Roadmap • https://amzn.to/3wAw5W2BlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

This conversation was recorded at GOTO Copenhagen 2025.https://gotopia.techMarko Klemetti - CTO of EficodeKris Jenkins - Lifelong Computer Geek and Podcast HostORIGINAL TALK TITLERewriting the SDLC Playbook with GenAI: How To Build a GenAI-Augmented Software Organization?RESOURCESMarkohttps://bsky.app/profile/mrako.comhttps://twitter.com/mrakohttps://github.com/mrakohttps://www.linkedin.com/in/mrakohttps://mrako.comKrishttps://bsky.app/profile/krisajenkins.bsky.socialhttps://twitter.com/krisajenkinshttps://www.linkedin.com/in/krisjenkinshttps://github.com/krisajenkinshttp://blog.jenkster.comABSTRACTSpeakers interview each other on topics that matter to them.Expect the unexpected. [...]Read the full abstract here:https://gotocph.com/2025/sessions/3931RECOMMENDED BOOKSMatthew Skelton & Manuel Pais • Team Topologies • http://amzn.to/3sVLyLQForsgren, Humble & Kim • Accelerate: The Science of Lean Software and DevOps • https://amzn.to/3tCz1xOJohn Arundel & Justin Domingus • Cloud Native DevOps with Kubernetes • https://amzn.to/3hKZvI5Wynne, Hellesoy & Tooke • The Cucumber Book • https://amzn.to/3tEUINJSol Rashidi • Your AI Survival Guide • https://amzn.to/3UFYnKCDavid Foster • Generative Deep Learning • https://amzn.to/48ZgP4xPhil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Ned and Kyler discuss the state of platform engineering, DevEx, and how AI is affecting choices in those domains with guest Annem Shah. They discuss how AI can help bridge the gap between initial setup and continuous operations by providing feedback and interpreting complex error messages. They also break down how AI can assist in... Read more »

Ned and Kyler discuss the state of platform engineering, DevEx, and how AI is affecting choices in those domains with guest Annem Shah. They discuss how AI can help bridge the gap between initial setup and continuous operations by providing feedback and interpreting complex error messages. They also break down how AI can assist in... Read more »

Ned and Kyler discuss the state of platform engineering, DevEx, and how AI is affecting choices in those domains with guest Annem Shah. They discuss how AI can help bridge the gap between initial setup and continuous operations by providing feedback and interpreting complex error messages. They also break down how AI can assist in... Read more »

O próximo papo vai ser com Alison Duarte (https://www.linkedin.com/in/alison-duarte/), Infrastructure Engineer na Thoughtworks, Solutions Architect e 3x AWS Certified.O Alison tem uma trajetória bem interessante que mistura infraestrutura, SRE e práticas de DevOps. Ao longo da carreira ele trabalhou ajudando empresas a evoluírem suas plataformas, construindo pipelines de CI/CD, definindo práticas de GitOps, orquestrando containers e implementando observabilidade em diferentes ambientes.Hoje ele atua com engenharia de infraestrutura e estratégias de platform engineering, ajudando times a criarem plataformas que realmente aceleram o desenvolvimento e entregam valor para o negócio.Na conversa vamos falar sobre:- Platform Engineering na prática- Arquitetura cloud com AWS- Kubernetes e plataformas internas para desenvolvedores- GitOps, CI/CD e automação de infraestrutura- Observabilidade e confiabilidade de plataformas- E a relação entre tecnologia e impacto no negócioAquele papo com bastante troca de experiência de quem trabalha desenhando plataformas e ajudando times a escalar engenharia.Em breve no ar

This interview was recorded for GOTO Unscripted.https://gotopia.techCheck out more here:https://gotopia.tech/articles/429Ajay Chankramath - Founder & CEO at Platformetrics & Co-Author of "Effective Platform Engineering"Nic Cheneweth - Principal Consultant at Thoughtworks & Co-Author of "Effective Platform Engineering"RESOURCESAjayhttps://www.linkedin.com/in/chankramathhttps://github.com/achankrahttps://x.com/ajchantwhttps://chankramath.comhttps://platformetrics.comNichttps://www.linkedin.com/in/nicchenewethhttps://github.com/nchenewethhttps://x.com/NicChenewethhttps://ncheneweth.comLinkshttps://effectiveplatformengineering.comhttps://epetech.iohttps://dora.devhttps://dora.dev/research/2025/dora-reportDESCRIPTIONAjay Chankramath (founder and CEO of Platformetrics) and Nic Cheneweth  Cheneweth (Principal Technologist at ThoughtWorks) explore the evolving world of platform engineering. They discuss why a product mindset is critical for internal platforms, how control planes and API-first design create scalable foundations, the real challenges organizations face when implementing Backstage, and where AI and agents are beginning to change the platform landscape. Throughout, both speakers emphasize that cutting corners on architectural foundations ultimately compounds problems at scale.RECOMMENDED BOOKSChankramath, Cheneweth, Oliver & Alvarez • Effective Platform Engineering • https://amzn.to/3OnxN8iGregor Hohpe • Platform Strategy • https://amzn.to/4cxfYdbBlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

In this episode, Ronald and Jan are joined by Hannah Hawken, partner sales at Chainguard,  who brings a fresh perspective on something every Kubernetes team struggles with: security.What starts as a conversation about career paths quickly turns into a deeper discussion about how we've been approaching security all wrong for years. Coming from a background in development and later moving into security, she reflects on what it feels like to build software without truly understanding the risks—and why so many teams are still in that exact position today.Instead of reacting to vulnerabilities after they appear, the conversation explores a different mindset. One where security isn't something you bolt on later, but something you start with. Not “shift left”… but start left.From there, the discussion moves into the reality many teams face: thousands of CVEs, endless patching cycles, and security teams constantly playing catch-up. What if that entire model could be flipped? What if the software you build on is already secure by design?That idea opens the door to a broader conversation about trust in open source, the hidden complexity of dependencies, and the trade-offs between speed and security. Along the way, Ronald and Jan challenge what this means in practice. How do you actually adopt a different approach? What changes for developers? And where does this fit in real-world environments?The episode also touches on the future. Not just of Kubernetes, but of the infrastructure powering AI and modern applications. Because if workloads are becoming more complex and critical, the foundation they run on needs to evolve as well.By the end, one thing becomes clear:security isn't just a step in the process anymore… it's becoming the starting pointStuur ons een bericht.DevOps ConferenceThe Conference for CI/CD, Kubernetes, Platform Engineering & DevSecOps k8_Podcast voor 15% kortingSupport the showLike and subscribe! It helps out a lot.You can also find us on:De Nederlandse Kubernetes Podcast - YouTubeNederlandse Kubernetes Podcast (@k8spodcast.nl) | TikTokDe Nederlandse Kubernetes PodcastWhere can you meet us:EventsThis Podcast is powered by:ACC ICT - IT-Continuïteit voor Bedrijfskritische Applicaties | ACC ICT

This conversation was recorded at GOTO Copenhagen 2025.https://gotocph.comSam Newman - Author of Building Microservices & Monolith to MicroservicesJacqui Read - Author of Communication Patterns: A Guide for Developers and ArchitectsSimon Rohrer - Global Head of Enterprise Tech Architecture and Ways of ThinkingORIGINAL TALK TITLESoftware Design, Architecture & Giving Clarity at ScaleRESOURCESSamhttps://twitter.com/samnewmanhttps://www.linkedin.com/in/samnewmanhttp://samnewman.iohttp://samnewman.io/bloghttps://github.com/snewmanJacquihttps://bsky.app/profile/tekiegirl.bsky.socialhttps://jacquiread.comhttps://fosstodon.org/@tekiegirlhttps://www.linkedin.com/in/jacquelinereadhttps://github.com/tekiegirlSimonhttps://bsky.app/profile/simon.bvssh.comhttps://mastodon.social/@simonrhttps://x.com/sirohrerhttps://www.linkedin.com/in/simonrohrerhttps://github.com/sirohrerhttps://www.soonersaferhappier.comLinkshttps://acedmodel.comABSTRACTIn this session, we will explore the nature of software design - what is it, and where is the intersection with architecture? We'll also look at the importance of communicating context, design, and architecture across an organization.If you'd like to do some advanced reading, head over to acedmodel.com for more.Both Jacqui and Simon will be sharing their expertise and experiences, but this session is also all about your questions. Come along, and get involved! [...]Read the full abstract here:https://gotocph.com/2025/sessions/3932RECOMMENDED BOOKSJacqui Read • Communication Patterns • https://amzn.to/3E37lvvSam Newman • Building Resilient Distributed Systems • https://www.oreilly.com/library/view/building-resilient-distributed/9781098163532Sam Newman • Monolith to Microservices • https://amzn.to/2Nml96ESam Newman • Building Microservices • https://amzn.to/3dMPbOsJonathan Smart, Zsolt Berend, Myles Ogilvie & Simon Rohrer • Sooner Safer Happier • https://amzn.to/3Emm9p2BlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

Is your platform engineering initiative struggling to deliver results? The problem might not be your tools or technology at all.In this episode, Sam Barlien, Community Organizer at Platform Engineering (the world's largest platform engineering community), shares insights from speaking with nearly 400 engineering leaders last year about why their platform initiatives succeed or fail. The biggest revelation: it's almost never about the tools. Sam explains why treating your internal platform like a product, complete with user research, documentation, and a product manager mindset, is the key differentiator between real platform engineering and just a rebranded operations team. He breaks down how to start small with a minimum viable platform, measure what actually matters, and build golden paths that developers want to follow. The conversation also covers how AI is both accelerating the need for platform engineering and transforming how platforms are built and operated.Key Topics Discussed:What platform engineering really means (hint: it's product management)Why DevOps and SRE often fail without product thinkingThe “Golden Path” vs “Golden Cage” approach to developer experienceHow to measure ROI and pitch platform engineering to executivesThe symbiotic relationship between AI and platform engineeringWhy starting with a Minimum Viable Platform beats big-bang transformationsPlatformCon 2025 key takeaways and emerging trendsTimestamps:(00:00:00) Trailer & Intro(00:03:16) What Background Do You Need for Platform Engineering?(00:06:32) How Does Storytelling Help in Platform Engineering?(00:08:53) What Is Platform Engineering?(00:12:27) Why Are Organizations Adopting Platform Engineering?(00:19:51) What's the Difference Between DevOps, SRE, and Platform Engineering?(00:23:25) Why Is the “Plug and Play” Approach to Tools a Trap?(00:28:45) How Do You Pitch Platform as a Product Instead of a Project?(00:34:01) How Do You Measure the ROI of Platform Engineering?(00:40:42) What Is the Golden Path in Platform Engineering?(00:47:12) What Were the Key Takeaways from PlatformCon 2025?(00:53:41) How Does Platform Engineering Leverage AI?(00:58:41) What Are the Hidden Costs of AI-Generated Code?(01:04:01) Why Is Platform Engineering Actually Product Management?(01:07:12) 1 Tech Lead Wisdom_____Sam Barlien's BioSam Barlien is a community organiser for the Platform Engineering Community. He is a tech nerd, and has been involved in tech communities for more than 10 years. He helps manage Platform Weekly, co-hosts PlatformCon, and drives the community Ambassador program, blog and Youtube channel.Follow Sam:LinkedIn – linkedin.com/in/sam-barlien-3b2579184Platform Engineering – platformengineering.orgPlatformCon – platformcon.comWeave Intelligence – weaveintelligence.ioLike this episode?Show notes & transcript: techleadjournal.dev/episodes/247.Follow @techleadjournal on LinkedIn, Twitter, and Instagram.Buy me a coffee or become a patron.

Russ Miles joins the show to unpack why developer platforms fail and how to rethink platform engineering through the lens of flow of value rather than factory-style developer productivity metaphors. Russ explains why every organization already has an internal developer platform, and why treating it as platform as a product changes everything. The conversation explores cognitive load and cognitive burden, how to design around strong feedback loops, and why the OODA loop mindset helps teams make better decisions closer to development time. They discuss the risks of overloading pipelines and CI/CD systems, the tension between shipping fast and handling security vulnerabilities in a regulated environment, and how to “shift left” without simply dumping responsibility onto developers. Drawing on lessons from Rod Johnson, the Spring Framework, TDD, and modern software engineering as described by Dave Farley, Russ reframes platforms as systems that support experimentation through the scientific method. The episode also touches on AI assisted coding, developer focus, and how thoughtful developer experience and DX surveys can prevent burnout while improving value delivery. Links Website: https://www.russmiles.com Substack: https://russmiles.substack.com X: https://x.com/russmiles Resources Talk: https://www.russmiles.com/platform-engineering-failure-keynote Substack article: https://russmiles.substack.com/p/developer-platform-devrel-listen We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. Chapters 00:00 What Is a Developer Platform 03:00 You Already Have a Platform 08:00 Cognitive Load vs Cognitive Burden 12:00 Feedback Loops and TDD 18:00 Pipelines, Security and OODA Loops 26:00 The Factory Metaphor Problem 31:00 Modern Software Engineering and Value Delivery 40:00 Avoiding Burnout Through Better DX 46:00 The Software Enchiridion and Final Thoughts

Is your internal developer platform actually improving velocity, or is it a bottleneck? We discuss why platform teams building "cool" abstractions is a red flag, and you should aim to create the best platform for software engineers.In this episode, we cover:Why "Golden Paths" can turn into roadblocks for developers.The danger of Shadow IT and why it's a symptom of a failed platform.How to measure if your platform is saving time.Connect with Adnan Alshar:https://www.linkedin.com/in/adnanmalshar92Connect with Jelmer de Jong:https://www.linkedin.com/in/jelmerdejong-xebia00:00:00 - Intro 00:00:54 - Is DevOps Dead? The Truth About Platform Engineering 00:03:07 - Why Developers Are Drowning in Complexity Today 00:04:37 - Why Having No Platform Is Better Than a Bad Platform 00:07:20 - Treating Software Engineers as Customers of the Platform 00:11:26 - The Exact Moment You Should Start Building a Platform 00:14:18 - Who Should Be on Your First Platform Team? 00:17:33 - Turning Your Angriest Developers Into Platform Evangelists 00:18:57 - Key Metrics: How to Measure Platform Engineering Success 00:21:01 - Why 60% of Companies Don't Measure Platform Success00:23:35 - Why No Metrics Is the Biggest Red Flag00:25:23 - The Disconnect Between Executives and AI Readiness 00:31:34 - Integrating AI Tools and Large Language Models Securely 00:34:22 - Shadow IT: The Symptom of a Broken Platform 00:38:03 - How to Scale Without Becoming a Bottleneck 00:41:45 - Don't Forget the Business Side of Platform Engineering#PlatformEngineering #DevOps #DeveloperProductivity

This interview was recorded for GOTO Unscripted.https://gotopia.techCheck out more here:https://gotopia.tech/articles/417Olaf Molenveld - Technology Advisor at CircleCIJulian Wood - Serverless Developer Advocate at AWSRESOURCESOlafhttps://x.com/olafmolenveldhttps://medium.com/@olafmolenveldhttps://www.linkedin.com/in/olafmolenveldJulianhttps://bsky.app/profile/julianwood.comhttps://twitter.com/julian_woodhttps://github.com/julianwoodhttp://www.wooditwork.comhttps://www.linkedin.com/in/julianrwoodDESCRIPTIONCircleCI's Technology Advisor Olaf Molenveld discusses the evolution of CI/CD practices with AWS's Julian Wood. They explore how modern software delivery has transformed from simple monolithic deployments to complex microservices ecosystems, drawing parallels between managing production code and managing the "factory" that produces it.The discussion covers optimization strategies, the balance between local and remote development, platform engineering trends, and how AI is reshaping DevOps practices. Olaf emphasizes that getting software into users' hands is as critical as writing it, and shares how teams can leverage observability, right-sizing, and intelligent automation to improve their delivery pipelines.RECOMMENDED BOOKSDavid Farley • Continuous Delivery Pipelines • https://leanpub.com/cd-pipelinesJez Humble & Dave Farley • Continuous Delivery • https://amzn.to/3ocIHwdNicole Forsgren, Jez Humble & Gene Kim • Accelerate • https://amzn.to/442Rep0Kim, Humble, Debois, Willis & Forsgren • The DevOps Handbook • https://amzn.to/47oAf3lLauren Maffeo • Designing Data Governance from the Ground Up • https://amzn.to/3QhIlnVRoy Osherove • The Art of Unit Testing • https://bit.ly/3obiKNBBurns, Beda & Hightower • Kubernetes: Up & Running • https://amzn.to/3sueuuIGojko Adzic • Lizard Optimization • https://leanpub.com/lizardoptimizationGregor Hohpe • Platform Strategy • https://amzn.to/4cxfYdbBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

CTO, der oder die da oben, macht bestimmt nur PowerPoint, oder? Oder ist die Rolle am Ende das schwierigste C-Level, weil du gleichzeitig Tech, Business, Menschen und Politik zusammenhalten musst, ohne zum Bottleneck zu werden?In dieser Episode nehmen wir die CTO-Rolle auseinander, inklusive typischer Missverständnisse. Wir klären, warum ein CTO nicht zwingend der beste Engineer im Raum sein sollte, wie du vermeidest, dass Entscheidungen nur durch ein Schlüsselloch betrachtet werden, und warum gute CTOs vor allem eines tun: zwischen Business und Tech übersetzen, Prioritäten verhandeln und bewusst mit technischen Schulden umgehen.Zu Gast ist Philipp Deutscher, CTO Coach sowie Fractional und Interim CTO, also CTO as a Service. Er bringt Erfahrung aus IT Operations, DevOps und Platform Engineering mit und teilt konkrete Einblicke aus der Praxis: von CTO-Archetypen wie Founding CTO, Scale-up CTO, Corporate CTO und Field CTO bis hin zu den Unterschieden zwischen Interim- und Fractional-CTO. Außerdem sprechen wir über Tech Leadership, Stakeholder Alignment, KPI-Denken (Velocity, DORA Metrics, Availability) und darüber, warum Monitoring oft erst startet, wenn es schon brennt.Wenn du dich fragst, ob CTO ein Karriereziel für dich ist, bekommst du dazu auch eine klare Roadmap: Verantwortung übernehmen, sichtbar werden, die Perspektive wechseln. Und ja, Nine to Five reicht dafür selten.Neugierig, welcher CTO-Typ du wärst und wie du dich darauf vorbereitest? Dann rein in die Episode.Bonus: CTO-Titel sind günstig. Die Konsequenzen manchmal nicht.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

QCon AI New York Chair Wes Reisz talks with LinkedIn's Karthik Ramgopal and Prince Valluri about enabling AI agents at enterprise scale. They discuss how platform teams orchestrate secure, multi-agentic systems, the role of MCP, the use of foreground and background agents, improving developer experience, and reducing toil. Read a transcript of this interview: https://bit.ly/4prPukO Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: QCon AI New York 2025 (December 16-17, 2025) - SOLD OUT! https://ai.qconferences.com/ QCon London 2026 (March 16-19, 2026) QCon London equips senior engineers, architects, and technical leaders with trusted, practical insights to lead the change in software development. Get real-world solutions and leadership strategies from senior software practitioners defining current trends and solving today's toughest software challenges. https://qconlondon.com/ QCon AI Boston 2026 (June 1-2, 2026) Learn how real teams are accelerating the entire software lifecycle with AI. https://boston.qcon.ai The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubAlex Ewerlöf - Senior Staff Engineer at Volvo Cars & Author of "Reliability Engineering Mindset"Charity Majors - Co-Founder & CTO of honeycomb.io & Co-Author of "Observability Engineering"RESOURCESAlexhttps://bsky.app/profile/alexewerlof.comhttps://www.linkedin.com/in/alexewerlofhttps://www.alexewerlof.comCharityhttps://twitter.com/mipsytipsyhttps://linkedin.com/in/charity-majorshttps://charity.wtfhttps://www.honeycomb.io/blog/slos-are-the-api-for-your-engineering-teamDESCRIPTIONAlex Ewerlöf shares his journey from product engineering to reliability engineering and discusses the practical challenges of implementing Google's SRE practices in real-world companies.He emphasizes the significant gap between Google's idealized SRE approach — which he links to "a fantastic chef's recipe for Michelin-starred restaurants" — and the reality most companies face with limited resources and infrastructure. The discussion covers key topics including the evolution from traditional operations to where engineers own their code in production, the critical importance of choosing SLIs that align with business impact, and how SLOs help set expectations and help the service consumers prepare non-functional requirements.Alex coined the law of 10x per 9 highlighting that reliability isn't free and requires careful cost-benefit analysis.RECOMMENDED BOOKSAlex Ewerlöf • Reliability Engineering Mindset • https://blog.alexewerlof.com/p/remC. Majors, L. Fong-Jones & G. Miranda • Observability Eng. • https://amzn.to/38scbmaC. Majors & L. Campbell • Database Reliability Eng. • https://amzn.to/3ujybdSAlex Hidalgo • Implementing Service Level Objectives • https://amzn.to/4pbWJxwBrian Klaas • Fluke • https://amzn.to/41V1CkoSimler & Hanson • The Elephant in the BrPsst! The Folium Diary has something it wants to tell you - please come a little closer...YOU can change the world - you do it every day. Let's change it for the better, together.Listen on: Apple Podcasts SpotifyBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

What drives execution velocity—better tools or better clarity? Loïc Houssier, CTO of Superhuman Mail (post-Grammarly acquisition), argues that most velocity problems stem from unclear team missions, not inadequate tooling. From steering DocuSign's French acquisition through complex carve-out negotiations to building Superhuman's offline-first architecture with a 100-millisecond interaction rule, Loïc shares hard-won lessons about engineering metrics that actually matter (PR per engineer per week trends over absolutes), when to resist microservices (until it's genuinely painful), and why promotion frameworks determine product quality. Technical leaders will learn how vertical team alignment eliminates dependencies, why guild structures maintain consistency without blocking speed, and how European safety nets create under-appreciated opportunities for technical risk-taking.

Matthias Keller, Chief Product Officer at Kayak, shares hard-won lessons about AI product strategy and knowing when to invest in emerging platforms. With a PhD in computer engineering from ETH Zurich and 12 years at Kayak, Matthias has lived through multiple waves of AI hype—from Alexa voice skills in 2016 to today's LLM revolution. He discusses the strategic calculus of early platform bets, the painful lessons from experiments that didn't pan out, and how to recognize when technology has truly shifted. The conversation covers navigating distribution challenges when competing with giants like Google and ChatGPT, balancing first-mover advantage with execution realities, and how LLMs are democratizing AI development for engineering teams. Matthias emphasizes the critical framework: "if you build it, they may come—if you don't build it, they won't come."

A gente sentou com um trio do Mercado Livre para abrir a caixa-preta do Fury, a plataforma que sustenta milhares de serviços e times. Falamos sobre como transformar Kubernetes em um produto de plataforma consumível, com autonomia para os times e guardrails que não viram algemas. Sim, é sobre Platform Engineering de verdade, com aprendizados que doem no bolso e no pager.Entramos em detalhes de experiência do desenvolvedor (DX), SDKs, templates e Golden Path no Backstage, além das escolhas que tornaram o Fury utilizável por centenas de times sem precisar “fazer kubectl em produção”. Também discutimos arquitetura multi-cloud, clusters por criticidade, autoscaling (Karpenter/KEDA) e como democratizar observabilidade sem expor todo mundo ao PromQL às 3 da manhã.Para fechar com chave de ouro, falamos de governança e segurança no dia a dia (DevSecOps na prática), SLIs/SLOs e o dilema entre padronização e liberdade. Tem história de guerra, roadmap, trade-offs e até as dicas de carreira dos convidados. Todos os links citados (Backstage, ArgoCD/GitOps, Karpenter, KEDA e materiais sobre Platform Engineering) estão na seção de DESTAQUES abaixo para você explorar.Links:Saiba mais sobre o Fury - https://medium.com/mercadolibre-tech/subpage/79a519305008Julia Pedroza - https://www.linkedin.com/in/julianunesp/Juliano Martins - https://www.linkedin.com/in/julianommartins/Marcelo Quadros - https://www.linkedin.com/in/quadros-marcelo/João Brito - https://www.linkedin.com/in/juniorjbn/O Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

What happens to platform engineering when natural language becomes the primary interface to infrastructure? Miriam Aguirre (Co-founder & CEO @ Ingenimax) joins us to explore how AI is fundamentally reshaping platform strategy, team structures, and the very role of the platform engineer. We deconstruct the shift from tactical "how" to strategic "why" and explore what it means to lead and build resilient systems in this new paradigm.ABOUT MIRIAM AGUIRREMiriam Aguirre is the Co-Founder and CEO of Ingenimax, the company behind StarOps, an AI-powered platform engineering engine that helps teams deploy and manage kubernetes and other cloud-native systems in minutes, not months. Before Ingenimax, Miriam served as CTO and engineering leader at two startups that successfully scaled from early stage through IPO. Her career spans deep expertise in high-throughput, scalable systems and machine learning, with a focus on building the technical and organizational foundations for hypergrowth. Miriam is passionate about engineering leadership that turns complex technology into intuitive, reliable platforms, and about helping teams scale without losing their soul. ToolHive Unlocks the Full Value of MCP & Your AI AgentsSo you've invested in AI agents for code generation, but they're limited to experiments or even stuck on the shelf. To do real, valuable work, those AI agents need access to your data and systems.ToolHive helps you confidently connect the pieces by making it simple and secure for you to use the Model Context Protocol (MCP).ToolHive includes a pre-vetted registry of MCP servers, containerizes every MCP server for consistency and leans on built-in security to keep your secrets safe.Leaders trust ToolHive to put MCP into production and put their AI agents to work.ToolHive is open source, so get started for free at toolhive.dev SHOW NOTES:The Origin Story of Ingenimax (3:05)The recurring scaling problem: Why "scaling teams" means scaling systems first (5:23)How the age of AI forces platform strategy to evolve earlier in a company's journey (8:48)The decline of vendor lock-in and the rising appetite for experimentation with tech (10:56)The paradigm shift that breaks the old model: natural language as the new interface (14:11)Why deep knowledge of fundamentals is now more important than syntax (16:56)Shifting requirements conversations from tactical inputs to strategic outcomes (20:22)Balancing standardization and flexibility with guardrails in an AI-driven environment (22:58)The challenge of getting from an AI prototype to a polished product (26:42)How platform team roles will evolve to focus more on curation (29:32)How to become a great technology curator (37:30)Rapid Fire Questions (39:56)LINKS AND RESOURCESThe Book of George - From the author of the critically acclaimed Laura & Emma comes a The Love Affairs of Nathaniel P. for our times: Kate Greathead's razor-sharp but big-hearted excavation of millennial masculinity.Can Animals and Machines Be Persons?: A Dialogue - This is a dialogue about the notion of a person, of an entity that thinks and feels and acts, that counts and is accountable. Equivalently, it's about the intentional idiom --the well-knit fabric of terms that we use to characterize persons. Human beings are usually persons (a brain-dead human might be considered a human but not a person). However, there may be persons, in various senses, that are not human beings. Much recent discussion has focused on hypothetical computer-robots and on actual nonhuman great apes. The discussion here is naturalistic, which is to say that count and accountability are, at least initially, presumed to be naturally well-knit with the possession of a cognitive and affective life.This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

How much of your code exists only to prevent failures? Discover a new paradigm for building reliable applications.In this episode, Preeti Somal, SVP at Temporal, explores a paradigm shift that can dramatically boost productivity and give developers peace of mind. Drawing on her experience leading massive infrastructure at Yahoo and HashiCorp, she explains Temporal's concept of durable execution that helps developers focus on business logic and remove reliability concerns. Preeti also discusses key findings from Temporal's first State of Development Report.In this episode, you will learn about:Lessons from operating large-scale systems at Yahoo and HashiCorpWhy reliability ranks higher than cost for most engineering teamsHow durable execution removes reliability complexity from developer concernsWhy unlearning old patterns proves harder than learning Temporal's modelCreating a strong incident response culture through blameless post-mortemNurturing psychological safety in infrastructure teams and on-call engineersBuilding security and compliance from day one versus retrofitting laterTimestamps:(00:00) Trailer & Intro(02:20) Career Turning Points(04:43) Key Learnings from Operating Large Scale Infrastructure(07:56) Key Learnings on Platform Engineering(09:59) Key Learnings on Maintaining High Reliability(12:02) Key Highlights Working at HashiCorp(13:52) Running Infra as Code using Temporal(15:28) Key Principles for Managing a Strong Incident Response(18:37) The Importance of Nurturing Psychological Safety within Infra Team(21:13) The Temporal's State of Development Report(22:39) The State of AI Usage & Adoption(23:54) Using Temporal for Building AI Applications(26:06) The Complexities Involved in Building AI Applications(28:51) Key Learnings from Temporal's State of Development Report(31:03) The Choice of Developer Tooling Misalignment(33:12) Integrating Security, Compliance, and Cost into Your Engineering Mindset(33:39) Building with Security and Compliance-First Mindset(36:57) Temporal Paradigm Shift(39:14) How Temporal Hides Away The Complexities of Building Reliable Applications(42:47) Unlearning Required for Using Temporal Programming Model(46:33) Getting Started Building with Temporal(48:34) Temporal's Durable Execution Guarantee(51:23) The Concern About Temporal Lock-In(54:09) Temporal's Strong Developer Focus(56:16) The Compliance and Security Aspect of Temporal Cloud(58:41) 3 Tech Lead Wisdom_____Preeti Somal's BioPreeti is Senior Vice President of Engineering at Temporal. Preeti is passionate about building great products, growing world class organizations and solving complex problems. Prior to Temporal, Preeti led the Platform, Security and IT engineering organizations at HashiCorp. Her extensive career includes engineering leadership roles at Yahoo!, VMware and Oracle. While at Yahoo! Preeti was VP of Cloud Services in the Platform organization delivering highly scalable services used by engineers across Yahoo to build and operate applications with improved agility, reliability and security. These services power Yahoo!'s consumer and advertising business.Follow Preeti:LinkedIn – linkedin.com/in/preeti-somal-131890Twitter – x.com/psomal

This week, we dig into the latest DORA report and OpenAI's big product updates. Plus, some hot takes on airline status and the Eurostar. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/urU5sn8Ufl8?si=WNrIuP_uXbhIg4gq) 540 (https://www.youtube.com/live/urU5sn8Ufl8?si=WNrIuP_uXbhIg4gq) Runner-up Titles Just plug in an iPhone Be helpful, not helpless Rundown Announcing the 2025 DORA Report | Google Cloud Blog (https://cloud.google.com/blog/products/ai-machine-learning/announcing-the-2025-dora-report/) OpenAI Agentic Commerce (https://openai.com/index/buy-it-in-chatgpt/) (https://openai.com/sora/) The New Sora App (https://openai.com/sora/) Introducing ChatGPT Pulse (https://openai.com/index/introducing-chatgpt-pulse/) Relevant to your Interests Intel and Apple hold investment talks, no deal in sight - 9to5Mac (https://9to5mac.com/2025/09/24/intel-and-apple-hold-investment-talks-no-deal-in-sight/) Ed Zitron is mad as hell (https://www.ft.com/content/4c8d6420-d088-4660-8973-c4996cd990fb) TikTok will stay: Trump signs executive order to keep app in the US (https://siliconangle.com/2025/09/25/tiktok-will-stay-trump-signs-executive-order-keep-app-us/) 10+ Hidden Features in iOS 26 (https://www.macrumors.com/guide/ios-26-hidden-features/) Splunk .conf25: Forging a Data Foundation for Cisco's AgenticOps Vision (https://futurumgroup.com/insights/splunk-conf25-forging-a-data-foundation-for-ciscos-agenticops-vision/) JFrog SwampUp 2025: The Agentic Development Era Emerges From The Swamp (https://www.forrester.com/blogs/jfrog-swampup-2025-the-agentic-development-era-emerges-from-the-swamp/) RIP, AOL dial-up: Take a walk down memory lane to 5 other now-defunct tech icons that defined millennials' youths (https://www.aol.com/rip-aol-dial-walk-down-063119808.html) Logitech launches MX Master 4 flagship productivity mouse – the best mouse we've tested adds haptic feedback, circular Action Ring shortcuts (https://www.tomshardware.com/peripherals/gaming-mice/logitech-launches-mx-master-4-flagship-productivity-mouse-the-best-mouse-weve-tested-adds-haptic-feedback-circular-action-ring-shortcuts) Charlie Javice Sentenced to 85 Months in Prison for Fraud (https://www.nytimes.com/2025/09/29/business/charlie-javice-sentence.html) Spotify CEO Daniel Ek to step aside (https://www.axios.com/2025/09/30/spotify-ceo-daniel-ek) Cloudscape - Cloudscape Design System (https://cloudscape.design/) Cursor CLI (https://cursor.com/cli) Introducing Claude Sonnet 4.5 (https://www.anthropic.com/news/claude-sonnet-4-5) Cursor CLI (https://cursor.com/cli) Introducing Claude Sonnet 4.5 (https://www.anthropic.com/news/claude-sonnet-4-5) GitHub Copilot CLI is now in public preview (https://github.blog/changelog/2025-09-25-github-copilot-cli-is-now-in-public-preview/) Shopify, pulling strings at Ruby Central, forces Bundler and RubyGems takeover (https://joel.drapper.me/p/rubygems-takeover/) How Ruby Went Off the Rails (https://www.404media.co/how-ruby-went-off-the-rails/) Open source to closed doors: RubyGems control fight erupts (https://www.theregister.com/2025/09/25/open_source_to_closed_doors/) Platform Engineering and AI - Two Buzzwords Finally Meet! | Michael Cote (https://www.youtube.com/watch?v=6jL3xp3LmQw) Nonsense Build-A-Bear Stock Outperforms Nvidia (https://theonion.com/build-a-bear-stock-outperforms-nvidia/) (The Onion) Conferences CF Day EU (https://events.linuxfoundation.org/cloud-foundry-day-europe/), Coté speaking, Frankfurt, October 7th, 2025. AI for the Rest of Us (https://aifortherestofus.live/london-2025), Coté speaking, October 15th-16th, London. Use code SDT20 for 20% off. Wiz Wizdom Conferences (https://www.wiz.io/wizdom), NYC November 3-5, London November 17-19 SREDay Amsterdam (https://sreday.com/2025-amsterdam-q4/), Coté speaking, November 7th. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Black Rabbit (https://www.netflix.com/title/81630027) Coté: Sune, Hackney, London (https://www.sune.restaurant). 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This episode of the Pure Report podcast welcomes back Jon Owings, a long-time Puritan and expert in Kubernetes and data management, to demystify the rapidly evolving world of containerization and AI. We dive deep into why over 96% of enterprises are adopting Kubernetes, exploring the latest trends like containers as VM alternatives and the advantages of Kubernetes deployments in AI environments. We also shed light on the crucial role of Platform Engineering, helping listeners understand who these professionals are and what they do. Jon shares insights from his work with Portworx, revealing where they're seeing the most success and why their offering stands out from the competition. Get ready for some "Hot Takes" in a rapid-fire segment covering overlooked industry shifts and even a favorite customer "screwup" story with a successful resolution. Tune in for practical advice on adopting Kubernetes and don't miss the inaugural "Storage Confessions" segment, where Jon shares a memorable challenge and its resolution.

Haseeb Budhani (@haseebbudhani, CEO @rafaysystemsinc) discusses the evolution from traditional DevOps to platform engineering and what "Enterprise Ready" Kubernetes looks like in 2025. We explore AI workloads running on Kubernetes and how modern orchestration solutions can transform teams from bottlenecks into enablers. We also cover the security considerations for GPU-enabled AI workloads and balancing developer self-service capabilities with proper governance and control.SHOW: 950SHOW TRANSCRIPT: The Cloudcast #950 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[VASION] Vasion Print eliminates the need for print servers by enabling secure, cloud-based printing from any device, anywhere. Get a custom demo to see the difference for yourself.SHOW NOTES:Rafay websiteTopic 1 - Welcome to the show, Haseeb. Give everyone a quick introduction.Topic 2 - Let's start by talking about the evolution of Kubernetes as a platform. You've said and we've talked about on this show for some time how Kubernetes is more of a platform to run platforms. We've also seen trends in the industry and shifts in what it means to be DevOps or Platform Engineering in recent years. You've positioned Rafay as a Kubernetes Operations Platform that's now evolved into a Cloud Automation Platform. How do you define the difference between Kubernetes management and true platform engineering?Topic 3 - What does “Enterprise Ready” Kubernetes look like in 2025?Topic 4 - Let's flip over to AI/ML and GPUs with Kubernetes for a bit. Many developers and data scientists aren't aware of the underlying platform they run on. I saw a stat recently that about 95% of AI runs on Kubernetes, either on-prem or in the cloud. Despite this, Platform teams are often stuck doing manual GPU provisioning, which doesn't scale with AI adoption. How do modern GPU orchestration solutions change the platform team's role?Topic 5 - With GPU workloads often handling sensitive data and AI models, security becomes even more critical. How should organizations approach security and compliance in their GPU-enabled Kubernetes operations?Topic 6 - "Most developers don't want to write YAML or manage clusters — they just want to ship software." How do you balance giving developers the self-service capabilities they want while maintaining the control and governance that platform teams need?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

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

This episode is a crossover with our friends at the SRE Prodcast. Kaslin joined Ben Good and Steve McGhee to talk about Kubernetes for Platform Engineering.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week Kubernetes 1.34 Sneak Peak Upcoming changes to the Bitnami catalog (effective August 28th, 2025) Amazon EKS enables ultra scale AI/ML workloads with support for 100K nodes per cluster CNCF Cloud Native Glossary   Links from the interview Backstage DORA Metrics

Guests are Pierre-Gilles Mialon and Glen Yu. Pierre-Gilles and Glen are Google Developer Experts. We had an opportunity to catch up with them at Next 2025 and we spoke about Platform Engineering, GitOps, Policy as code and AI. Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com News of the week Docker Desktop version 4.43 release Docker Compose support in Google Cloud Run KubeCon && CloudNativeCon Japan in 2026 Links from the interview Google Developer Experts Kubernetes Resource Model Blog Part-1 Kubernetes Resource Model Blog Part-2 KRO on the podcast Kyverno Nomad FluxCD

For this special edition of TCP Talks, Justin Brodley and Matthew Kohn are joined by Chris Opat, SVP of Cloud Operations at Backblaze, to discuss how the cloud storage innovator is reshaping the industry landscape. From their origins as a consumer backup company to becoming a major player in enterprise cloud storage, Chris shares insights on AI workloads, the true cost of egress fees, and why your data doesn’t have to live in a walled garden. About Backblaze Backblaze started in 2007 with a simple mission: make storage so affordable it’s almost free. The company gained early notoriety for their DIY approach to storage infrastructure, with founders literally bending metal in apartments and conducting “gorilla storage purchasing” raids at Bay Area Best Buys and Fry’s Electronics to build their custom red storage pods. This scrappy, cost-conscious DNA remains central to the company’s identity today. In September 2015, Backblaze made their enterprise pivot with the launch of B2 Cloud Storage, entering the market at one-quarter the cost of Amazon S3. By December of that launch year, they had already attracted over 30,000 users. Today, Backblaze (NASDAQ: BLZE) manages approximately 4.7 exabytes of data across 310,000+ drives, serving over 500,000 customers in 175 countries. What sets Backblaze apart isn’t just their pricing—it’s their philosophy. While hyperscalers have built complex storage tiers with Byzantine billing structures, Backblaze offers one tier of hot storage with transparent, predictable pricing. Their recent push into AI workloads with B2 Overdrive demonstrates their ability to evolve with market demands while maintaining their core value proposition. About Chris Opat Chris Opat joined Backblaze as SVP of Cloud Operations in 2023, bringing over 25 years of experience in building teams and technology at startup and scale-up companies. Before Backblaze, he served as SVP of Platform Engineering and Operations at StackPath, specializing in edge technology and content delivery. His background includes extensive work with private equity portfolio companies, where he honed his skills in rapid transformation and growth. Chris describes himself as someone who thrives in “David vs. Goliath” scenarios, making Backblaze—with its mission to challenge the hyperscaler incumbents—a perfect fit. His passion for building exceptional technical teams and pushing technological boundaries aligns perfectly with Backblaze’s innovative culture. Interview Highlights The David vs. Goliath Mentality 3:15 Chris: “Nothing makes me happier than to watch a customer choose us over the incumbent competitors and have an exceptionally good experience. It’s easy to work for the incumbents and kind of win all the time. It feels so much better when you do it as the upstart that people don’t see coming.” Chris emphasized how Backblaze offers a fundamentally different partner experience compared to hyperscalers. While AWS, Azure, and Google Cloud may provide excellent services, they often lack the personal touch and flexibility that smaller customers need. At Backblaze, customers can directly influence product strategy and speak with decision-makers who shape the company’s direction.

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 

This week, we delve into the UK government's substantial investment in AI infrastructure and its implications for cloud sovereignty; Is it related to the trump administration, the economy or the AI arms race? We discuss China's unprecedented 631 GB personal data leak and whether it is a honeytrap or negligence. Plus, Wandercraft's latest advancements in robotic exoskeletons and how technology is transforming mobility and rehabilitation.Whether you're deep in tech, cloud services, AI innovation, or market dynamics, this episode delivers sharp analysis, insightful predictions, and essential context to stay ahead in a rapidly evolving technological landscape.Hosts:https://www.linkedin.com/in/jonathanshanks/https://www.linkedin.com/in/lewismarshall/

In this episode, Jon and Lewis cover four wildly different stories, from Warfare to the impact of Trump conspiracies on Datacentres.First up, Microsoft is investing $400 million to turn Switzerland into the next cloud capital. Is it for neutrality, Trump instability syndrome or just demand? Then, we meet a glow-in-the-dark protein made by an AI called ESM3, because why not let machines start designing life?Next, we detour into wartime sci-fi: Ukraine's drone swarm attack: trucks, remote lids, and enough AI autopilot to cause substantial damage. Finally, we finish with Fi, a smart dog collar that integrates with your Apple Watch. Track your dog's steps, sleep, and GPS location. Why? Who knows!All that, plus plenty of opinions, speculation, and the usual unpacking of what is going on in the Cloud, Tech and AI space. 

This week, we dive into OpenAI's $6.5B acquisition of Jony Ive's ‘io' and what it means for the future of AI-native devices. We explore Google's VEO 3 and the deepfake dilemmas it raises, along with Microsoft's Aurora AI and its ability to predict the weather. Plus, Google's new try-on AI lets you see how clothes fit without leaving your house, and in a more random story, it turns out some plants can hear bees to protect their nectar.Whether you're deep in tech, cloud services, AI innovation, or market dynamics, this episode delivers sharp analysis, insightful predictions, and essential context to stay ahead in a rapidly evolving technological landscape.Hosts:https://www.linkedin.com/in/jonathanshanks/https://www.linkedin.com/in/lewismarshall/

In this episode, we're bringing you a curated selection of conversations from the KubeCon EU 2025 showfloor. We'll be diving into the rise of platform engineering, exploring some cutting-edge technologies, getting updates on core Kubernetes components, and hearing some truly unique user stories, like using Kubernetes on a dairy farm! Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week CNCF Blog - Announcing the Automated Governance Maturity Model Kubernetes Blog CNCF Blog - Understanding Kubernetes Gateway API: A Modern Approach to Traffic Management Open Observability Summit Links from the interview NAIS at NAV, with Hans Kristian Flaatten and Audun Fauchald Strand Audun Fauchald Strand Hans Kristian Flaatten NAV (Norwegian Labor and Welfare Administration) Kubernetes Podcast 216: NAIS, with Johnny Horvi and Frode Sundby NAIS KubeCon EU 2025 Keynote: Adventures of Building a Platform as a Service for the Government - Hans Kristian Flaatten, Lead Platform Engineer, NAV & Audun Fauchald Strand, Principal Software Engineer, NAV GKE release notes   Platform Engineering, with Max Körbächer and Andreas (Andi) Grabner Max Körbächer Andreas (Andi) Grabner Book: “Platform Engineering for Architects: Crafting modern platforms as a product” by Max Körbächer, Andreas Grabner, and Hilliary Lipsig Cloud Native Summit Munich   Kubernetes at LinkedIn, with Ahmet Alp Balkan and Ronak Nathani Ahmet Alp Balkan Ronak Nathani Kubernetes Podcast 249: Kubernetes at LinkedIn, with Ahmet Alp Balkan and Ronak Nathani Ahmet's Blog Introducing Multi-Cluster Orchestrator: Scale your Kubernetes workloads across regions   LLMs on Kubernetes, with Mofi and Abdel KubeCon EU 2025 talk: Yes You Can Run LLMs on Kubernetes - Abdel Sghiouar & Mofi Rahman, Google Cloud About the Gateway API Gateway API Inference Extension Deploy GKE Inference Gateway   SIG etcd with Ivan Valdes Ivan Valdes etcd.io SIG etcd on GitHub   Open Source Kubernetes, with Jago Macleod Jago Macleod Google Open Source: Kubernetes Schedmd Slurm Ray Run:ai from Nvidia Medium blog: “Deploy Slurm on GKE” by Abdel Sghiouar AI-Hypercomputer, xpk XPK (Accelerated Processing Kit, pronounced x-p-k) is a command line interface that simplifies cluster creation and workload execution on Google Kubernetes Engine (GKE). XPK generates preconfigured, training-optimized clusters and allows easy workload scheduling without any Kubernetes expertise. Cursor AI Editor   Dairy Farm Automation & Banking with Kubernetes, with Clément Nussbaumer Clément Nussbaumer Talos Linux Cluster-api Cluster API is a Kubernetes subproject focused on providing declarative APIs and tooling to simplify provisioning, upgrading, and operating multiple Kubernetes clusters. KubeCon EU 2025 Talk: “Day-2'000 - Migration From Kubeadm+Ansible To ClusterAPI+Talos: A Swiss Bank's Journey” - Clément Nussbaumer, PostFinance Kubeadm Kubeadm is a tool built to provide kubeadm init and kubeadm join as best-practice "fast paths" for creating Kubernetes clusters.   Being a First-Time KubeCon Attendee, with Nick Taylor Kubernetes The Hard Way K3s - “The certified Kubernetes distribution built for IoT & Edge computing” Kubernetes Ingress Controllers Kubernetes Up and Running Kubernetes Docs KubeCon EU 2025 Sponsored Keynote: The Science of Winning: Oracle Red Bull Racing's Formula with Open Source, Kubernetes and AI - Sudha Raghavan, SVP of OCI Developer Platform, Oracle