Podcasts about ci cd

Luke Marsden, CEO and Founder, HelixML talks about Private GenAI. What is it? Why do you need it? We also discuss integration into CI/CD pipelines, the layers of a Private GenAI Stack, and why most organizations are opting for RAG over fine-tuning LLMs.SHOW: 943SHOW TRANSCRIPT: The Cloudcast #943 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.[FCTR] Try FCTR.io (that's F-C-T-R dot io) free for 60 days. Modern security demands modern solutions. Check out Fctr's Tako AI, the first AI agent for Okta, on their website[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:HelixML websiteHelixML GitHubHelix 1.0 Announcement BlogTopic 1 - Welcome to the show Luke. Give everyone a brief intro.Topic 2 - Let's start with Priavte GenAI. What is it? Why should organizations out there consider it? Why not just use OpenAI GPT's and fine tune them?Topic 2a Follow up - Regulatory Compliance - take the opposing forces in the EU for instance to using SaaS based services based in the United States.Topic 3 - Let's break down the layers in a typical Private AI stack. I'm seen various ways to represent this such as infrastructure layer, MLOps layer, models, data layer (typically RAG), etc. How do you break up the stack into individual componentsTopic 4 - My mind immediately jumps to similarities in the DevOps space. Abstraction layers and components like Docker and containers comes to mind, integration into CI/CD pipelines, etc. I feel like MLOps is it's own thing with specific tools and workflows. Does this all come together and if so how?Topic 5 - Also, what does this mean for versioning and lifecycle management of the models and the data?Topic 6 - We are seeing more and more data pipelines with backed by multiple models, sometimes in multiple locations. How do handle this from both a scheduling and interface standpoint? Is everything hidden behind APIs for instance?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

I am in conversation with Tom Elliott, founder of Ocuroot and former Engineering Productivity lead at Yext, Introduction:Tom Elliott shares his career journey, starting from his early interest in computers to his current role in Dev tooling .Career Insights:Tom discusses the challenges of entering the industry during the financial crash and his transition from contract work to a full-time role at VMware .He highlights his experience at VMware, working on early-stage projects like building login pages and authentication systems .Shift to New York:Tom talks about his move to New York and his work at a small VPN startup, focusing on user-facing applications .Experience at Yext:Tom shares his journey at Yext, starting as a mobile developer and gradually moving to backend development and Dev tooling .He emphasizes the importance of being close to the users and getting immediate feedback on the tools he built .Challenges and Solutions:Tom discusses the challenges of working in large organizations, such as resolving merge conflicts and managing long-lived branches .He explains the benefits of trunk-based development and feature flags for managing multiple features and environments .Observability and Deployment:Tom highlights the importance of observability and the use of tools like open telemetry for distributed tracing .He shares insights on managing different deployment environments and ensuring consistency across regions .Quality and CI/CD Pipelines:Tom talks about the emphasis on quality and the importance of CI/CD pipelines in ensuring reliable software releases .He shares his experience of setting up CI/CD pipelines to avoid issues like broken installers .Conclusion:Tom reflects on the importance of flexibility and prototyping in software development .He shares his thoughts on the future of AI in coding and the role of human operators in leveraging AI tools .Bio:During nearly 20 years in the tech industry, Tom has worked for companies large and small on both sides of the pond and all layers of the tech stack from user-facing mobile and desktop applications to the backest of backends: DevOps. He is currently building Ocuroot, his own take on a CI/CD solution, based on his experiences scaling large numbers of environments for B2B SaaS products.Links: * LinkedIn: https://www.linkedin.com/in/telliott1984/ * BlueSky: https://bsky.app/profile/telliott.me* Blog: https://thefridaydeploy.substack.com/* Ocuroot: https://www.ocuroot.com

Speed isn't just about developer productivity—it's about market dominance. Rob sits down with Brian Guthrie, Director of Engineering at Justworks and former ThoughtWorks consultant, to explore why lead time from conception to production should be your organization's north star metric.Brian challenges conventional CI/CD wisdom, arguing that asynchronous pull request processes create hidden context transfer costs that cripple time-to-market. His "Move Faster Manifesto" reveals how continuous integration was originally designed for speed, the real cost of feature branching versus trunk-based development, and why reducing integration problems translates directly to competitive advantage.Have someone you'd like to hear on the show? Let us know on X at @CircleCI!

In this episode of Elixir Wizards, Dan Ivovich and Charles Suggs sit down with Norbert “NobbZ” Melzer to discuss how Nix enables reproducible builds, consistent development environments, and reliable deployments for Elixir projects. Norbert shares his journey from Ruby to Elixir, contrasts Nix with NixOS, and walks us through flakes, nix-shell workflows, sandboxed builds, and rollback capabilities. Along the way, we cover real-world tips for managing Hex authentication, integrating Nix into CI/CD, wrapping Mix releases in Docker, and avoiding common pitfalls, such as flake performance traps. Whether you're spinning up your first dev shell or rolling out a production release on NixOS, you'll come away with a clear, gradual adoption path and pointers to the community mentors and resources that can help you succeed. Key topics discussed in this episode: Reproducible, sandboxed builds vs. traditional package managers Nix flakes for locked dependency graphs and version pinning nix-shell: creating consistent development environments across teams Rollback and immutable deployment strategies with Nix/NixOS Integrating Nix with the Elixir toolchain: Hex, Mix, and CI/CD pipelines Flakes vs. standard shells: when and how to transition Handling private Hex repositories and authentication in Nix Cross-platform support (macOS/Darwin, Linux variants) Channels, overlays, and overrides for customizing builds Dockerizing Elixir releases using Nix-based images Home Manager for personal environment configuration Security patching workflows in a Nix-managed infrastructure Common pitfalls: flake performance, sandbox workarounds, and symlink behavior Community resources and the importance of human mentorship Links mentioned: https://jobrad-loop.com/ https://nixos.org/ https://nix.dev/ https://nix.dev/manual/nix/2.18/command-ref/nix-shell https://github.com/nix-darwin/nix-darwin https://asdf-vm.com/ https://go.dev/ https://docs.redhat.com/en/documentation/redhatenterpriselinux/8/html/packaginganddistributingsoftware/introduction-to-rpm_packaging-and-distributing-software Nix Flake templates for Elixir https://github.com/jurraca/elixir-templates https://www.docker.com/ https://www.sudo.ws/ https://ubuntu.com/ https://archlinux.org/ Nobbz's blog https://blog.nobbz.dev/blog/ https://ayats.org/blog/nix-workflow @nobbz.dev on BlueSky @NobbZ1981 on Twitter https://www.linkedin.com/in/norbert-melzer/ https://youtu.be/HbtbdLolHeM?si=6M7fulTQZmuWGGCM (talk on CodeBEAM)

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

Recebemos o Daniel Romeiro — mais conhecido como Infoslack — para mergulhar de cabeça no universo em ebulição de Inteligência Artificial, DevOps e Machine Learning. Neste episódio, exploramos como filtrar o ruído do hype com uma abordagem de filtro reverso e discutimos os bastidores do deploy de modelos de Machine Learning em produção.Trocamos experiências sobre observabilidade avançada em pipelines de IA e compartilhamos insights sobre como acumular habilidades DevOps ao longo da carreira, sem jamais perder o pé no chão. Entre uma piada e outra, analisamos também o impacto dos testes A/B em tempo real e a complexidade de gerenciar artefatos de IA em escala.Por fim, refletimos sobre as perspectivas futuras: qual será o próximo grande passo para SREs que querem continuar relevantes em um cenário dominado por IA generativa? Nós conversamos sobre como arquiteturas mal planejadas podem se tornar gargalos de latência e apresentamos estratégias para garantir alta disponibilidade mesmo quando as APIs externas decidem ficar fora do ar.Links Importantes:- Daniel Romeiro - https://www.linkedin.com/in/infoslack/- João Brito - https://www.linkedin.com/in/juniorjbn- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflMParticipe de nosso programa de acesso antecipado e tenha um ambiente mais seguro em instantes!https://getup.io/zerocveO 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.

In this episode of Semaphore Uncut, we chat with Sara Vieira—developer, speaker, and hardware hacker—about her unconventional path into tech, the communities that shaped her, and why she's diving into Game Boys and 3D printing while everyone else is chasing AI.Like this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️ review on the podcast player of your choice and share it with your friends.

In this special live episode recorded amidst the rain-soaked streets of Malmö duringPSConfEU 2025, host Andrew Pla brings us a vibrant, multi-guest edition of the PowerShell Podcast. From impromptu bar chats to in-depth discussions on PowerShell modules, CI/CD pipelines, career growth, and community culture, this episode captures the heart of the PowerShell community in full force. Hear from speakers, first-time attendees, longtime community contributors, and PowerShell legends as they share their stories, projects, career journeys, favorite sessions, and the human side of tech.   Guests: Harm Veenstra (PowerShellIsFun, MVP and Legend) Constantin Hager (PS Framework user & Inn-Salzach PowerShell Group organizer) Thomas Hadin (Swedish consultant, Discord regular) James Ruskin (Chocolatey engineer, bigtime PowerSheller, kind and smart) Emanuel Palm (Microsoft MVP and PSConfEU speaker) Suresh "SK" Krishnan (IAM pro & PowerShell podcast superfan) Topics Covered: Favorite PSConfEU 2025 sessions and key takeaways GitHub Actions & GitHub Apps deep dive Lightning talks & community demo formats User group organizing and mentoring new speakers Tools: PS Framework, Spectre.Console, AI Shell, ModuleBuilder PowerShell remoting, PSDefaultParameterValues, and CI pipelines Career development insights, perspective shifts, and personal growth Building friendships and networks in the PowerShell community Highlights: “There's no magic” – a recurring theme reminding listeners to understand what they're running. Reflections on how empathy and perspective can transform your IT career. A shoutout to the PowerShell Discord community and lesser-known contributors like weq and Chris Dent. Real stories of overcoming stage fright, pushing past visa issues, and finding belonging through tech. Links: https://discord.gg/pdq https://psconf.eu https://andrewpla.tech/links Watch PowerShell Wednesday: https://www.youtube.com/playlist?list=PL1mL90yFExsix-L0havb8SbZXoYRPol0B PSConfEU 2025 sessions: https://www.youtube.com/watch?v=9CJWhWdbTGU&list=PLDCEho7foSoo6tc8iNDSrxp27dG_gtm6g The PowerShell Podcast Hub: https://pdq.com/the-powershell-podcast  The PowerShell Podcast on YouTube: https://youtu.be/RoVlp5XmXBc

In this episode of Book Overflow, Carter and Nathan discuss parts 3 and 4 of The DevOps Handbook! Join them as they discuss CICD, on-call rotations, telemetry, and more!-- Books Mentioned in this Episode --Note: As an Amazon Associate, we earn from qualifying purchases.----------------------------------------------------------The DevOps Handbookhttps://amzn.to/44tGqlX (paid link)----------------00:00 Intro02:01 About the Book and Authors03:43 Initial Thoughts on The DevOps Handbook Parts 3 & 407:38 Deployment Pipelines16:55 When to Implement DevOps Practices24:40 Low-Risk Releases and Feature Flags35:06 Telemetry and Observability46:04 Open Telemetry and Tool Recommendations51:57 On-Call Rotations1:01:00 Launch Readiness Reviews1:07:01 Final Thoughts----------------Spotify: https://open.spotify.com/show/5kj6DLCEWR5nHShlSYJI5LApple Podcasts: https://podcasts.apple.com/us/podcast/book-overflow/id1745257325X: https://x.com/bookoverflowpodCarter on X: https://x.com/cartermorganNathan's Functionally Imperative: www.functionallyimperative.com----------------Book Overflow is a podcast for software engineers, by software engineers dedicated to improving our craft by reading the best technical books in the world. Join Carter Morgan and Nathan Toups as they read and discuss a new technical book each week!The full book schedule and links to every major podcast player can be found at https://www.bookoverflow.io

Think you know the path to success in the Salesforce ecosystem? Think again. In this candid conversation, Jack McCurdy and Data Importer's Amy Oplinger-Singh pull back the curtain on the untold truths of a career in tech.From battling imposter syndrome to mastering the art of data management, Amy provides a masterclass in navigating the complexities of the industry. Learn why your network is your most valuable asset and how to find a role that truly aligns with your personal and professional goals.This isn't just another tech talk. It's a guide to building a resilient and authentic career.Key Insights:- The power of authenticity in a competitive industry.- How to turn networking from a chore into a superpower.- Leadership strategies to foster a burnout-proof team culture.About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKWChapters:00:00 Introduction to Amy02:48 Amy's Salesforce Journey and Early Experiences05:36 Navigating Imposter Syndrome08:11 The Importance of Networking10:51 Understanding and Managing Imposter Syndrome13:30 The Pressure of Visibility and Burnout16:06 Finding Alignment in Career Choices18:58 Transitioning to Data Importer21:38 Reflections on Career Growth and Future Goals23:56 Building a Supportive Work Environment30:56 Navigating Data Management Challenges36:08 Leadership and Team Well-being40:47 The Importance of End Users in Projects

No episódio 175 do Kubicast, recebemos o especialista Luriel Santana para um duelo de ideias entre DevOps e Site Reliability Engineering (SRE). Entre cafés e risadas, mergulhamos em discussões sobre cultura organizacional, automação de infraestrutura, métricas de confiabilidade e práticas de campo que vão desde data centers em Angola até pipelines modernos em nuvem.1. O Panorama: DevOps e SRE no MercadoDesde seu surgimento, o movimento DevOps trouxe um sopro de velocidade e integração entre equipes de desenvolvimento e operações. Já o SRE, idealizado pelo Google, elevou o patamar ao introduzir métricas claras (SLIs, SLOs e SLAs) e processos de gestão de erros. Nesta batalha, não há um “vencedor único”: DevOps acelera a entrega; SRE garante que ela aconteça sem interrupções.2. Lições de Campo em AngolaLuriel compartilhou conosco suas aventuras em data centers físicos, rodando Linux e configurando roteadores Cisco numa das regiões mais desafiadoras do continente africano. A mensagem foi clara: sem automação mínima, manter servidores operando em condições extremas vira gargalo. Foi ali que aprendemos a importância de Infrastructure as Code e do versionamento de configurações.3. Cultura vs FerramentalFrequentemente, equipes se apaixonam por ferramentas e esquecem a cultura. Discutimos como pipelines de CI/CD, contêineres e orquestração Kubernetes só fazem sentido quando há um mindset de colaboração e responsabilidade compartilhada. Do contrário, viram apenas mais uma “caixinha de truques” sem resultados consistentes.4. Métricas de Confiabilidade: SLOs e SLIs na PráticaA gente explorou exemplos de SLOs para aplicações críticas e viu que definir limites aceitáveis de erro é tanto arte quanto ciência. Falamos dos trade‑offs entre velocidade e estabilidade, e de como o roteamento de incidentes pode se apoiar em dashboards bem configurados — sem esquecer dos alertas que evitam alert fatigue.5. Pandemia e Adoção AceleradaA crise global empurrou muitas empresas para a nuvem e para práticas de automação. Discutimos como o trabalho remoto reforçou a necessidade de automação e infraestrutura resiliente, e refletimos sobre cases de pipelines que nasceram em questão de dias para suportar picos inesperados.Conclusão e Próximos PassosSaímos deste episódio com uma certeza: DevOps e SRE não são antagonistas, mas sim parceiros na jornada de entregar software com velocidade e confiabilidade. Se você está começando, comece definindo seus SLIs. Para os veteranos, a dica é revisitar processos e investir em cultura.Links e Recomendações:Conecte-se com Luriel Santana no LinkedIn: https://www.linkedin.com/in/lurielsantana/João Brito - https://www.linkedin.com/in/juniorjbnAssista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflMSaiba mais sobre o DevOps Days Feira de Santana: https://www.devopsdays.org/events/2025-feira-de-santana/Confira o Canal Pro Evolua: https://www.youtube.com/c/ProEvoluaDescubra o Projeto Zero CVE (Getup): https://getup.io/zerocveParticipe de nosso programa de acesso antecipado e tenha um ambiente mais seguro em instantes! https://getup.io/zerocve

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

No episódio de hoje do LowOpsCast, eu recebo André Guilherme Silva (https://www.linkedin.com/in/andregui/), Coordenador de DevOps na VHL Sistemas e integrante do projeto CoffOps, que vem transformando a forma como pessoas entram (ou se reencontram) na área de tecnologia.São mais de 15 anos de estrada, começando no suporte técnico, passando por SysAdmin e chegando à liderança de times focados em observabilidade, cloud, segurança, CI/CD e migração de sistemas críticos. Mas o que torna a história do André única é como ele transforma conhecimento técnico em impacto real, tanto dentro da empresa quanto na comunidade.☕ Sim, vamos falar de tech, mas também de gente, carreira, mentorias e como liderar com empatia num mundo cada vez mais automatizado.

Welcome to a special FirstMark Deep Dive edition of the MAD Podcast. In this episode, Matt Turck and David Waltcher unpack the explosive impact of generative AI on engineering — hands-down the biggest shift the field has seen in decades. You'll get a front-row seat to the real numbers and stories behind the AI code revolution, including how companies like Cursor hit a $500M valuation in record time, and why GitHub Copilot now serves 15 million developers.Matt and David break down the six trends that shaped the last 20 years of developer tools, and reveal why coding is the #1 use case for generative AI (hint: it's all about public data, structure, and ROI). You'll hear how AI is making engineering teams 30-50% faster, but also why this speed is breaking traditional DevOps, overwhelming QA, and turning top engineers into full-time code reviewers.We get specific: 82% of engineers are already using AI to write code, but this surge is creating new security vulnerabilities, reliability issues, and a total rethink of team roles. You'll learn why code review and prompt engineering are now the most valuable skills, and why computer science grads are suddenly facing some of the highest unemployment rates.We also draw wild historical parallels—from the Gutenberg Press to the Ford assembly line—to show how every productivity boom creates new problems and entire industries to solve them. Plus: what CTOs need to know about hiring, governance, and architecture in the AI era, and why being “AI native” can make a startup more credible than a 10-year-old giant.Matt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/X/Twitter - https://twitter.com/mattturckDavid WaltcherLinkedIn - https://www.linkedin.com/in/davidwaltcherX/Twitter - https://x.com/davidwaltcherFIRSTMARKWebsite - https://firstmark.comX/Twitter - https://twitter.com/FirstMarkCap(00:00) Intro & episode setup (01:50) The 6 waves that led to GenAI engineering (04:30) Why coding is such fertile ground for Generative AI (08:25) Break-out dev-tool winners: Cursor, Copilot, Replit, V0 (11:25) Early stats: Teams Are Shipping Code Faster with AI (13:32) Copilots vs Autonomous Agents: The Current Reality (14:14) Lessons from History: Every Tech Boom Creates New Problems (21:53) FirstMark Survey: The Headaches AI Is Creating for Developers (22:53) What's Now Breaking: Security, CI/CD flakes, QA Overload (29:16) The New CTO Playbook to Adapt to the AI Revolution (33:23) What Happens to Engineering Orgs if Everyone is a Coder? (40:19) Founder opportunities & the dev-tool halo effect (44:24) The Built-in Credibility of AI-Native Startups (46:16) The Irony of Dev Tools As Biggest Winners in the AI Gold Rush (47:43) What's Next for AI and Engineering?

In episode 17 of Open Source Ready, Brian and John speak with Docker founder Solomon Hykes about his latest project, Dagger, and its mission to fix the pain points of modern CI/CD. Solomon explains why DevOps is due for a systems-level rethink and how AI agents are changing the way software gets built and shipped.

In this episode of the DevOps Toolchain podcast, host Joe Colantonio sits down with Thomas Hurley, Product Lead at SmartBear for ReadyAPI and SoapUI, to unpack everything you need to know about modern API testing in secure, regulated, and high-stakes environments. Check out SmartBear's ReadyAPI Now: https://testguild.me/readyapi We explore why some organizations still choose on-prem API testing despite the cloud boom, and the critical role of data security, compliance, and control. Thomas delves into how teams can utilize service virtualization to overcome dependencies, accelerate shift-left testing, and simulate complex microservices architectures — without compromising security or quality. You'll also learn how to turn functional tests into performance and security tests effortlessly, integrate API tests into your CI/CD pipelines, and even handle synthetic data generation to stay compliant. Additionally, we explore the often-overlooked cultural shift required to integrate quality thinking into the early stages of the software development lifecycle. Whether you're battling regulatory hurdles, trying to improve test coverage, or looking to scale your automation securely, this episode offers practical advice you can apply right away. Key topics covered: On-prem vs cloud API testing: security, control, and compliance considerations Using service virtualization to reduce bottlenecks and enable shift-left testing Creating realistic testing environments without exposing sensitive data Integrating functional, performance, and security testing into CI/CD pipelines Handling synthetic data and database integrations for better test reliability The role of AI and machine learning in modern API testing Breaking down silos: fostering a culture of quality across teams

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

In this episode of Technical Tips, Semaphore engineer Amir Hasanbašić shares how we're rebuilding our API from the ground up. From a fragmented system to a unified interface — hear how we tackled legacy challenges, redesigned for scale, and what we learned along the way.If you're into API architecture or scaling big systems, this one's for you.Like this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️ review on the podcast player of your choice and share it with your friends.

The Daytona founders - Ivan Burazin and Vedran Jukic - discuss their pivot to an AI agent cloud. We dig into the new infrastructure requirements of developing agents that need their own sandboxes to operate in.A year ago, we had them on to talk about Daytona giving us remote development environments for humans, and they have now pivoted the company to focusing on providing cloud hosting environments for AI agents to operate.I suspect this is something we're all gonna eventually need to tackle as we work to automate more of our software engineering. So we spend time breaking down the concepts and the real world needs of humans developing agents, and then the needs of AI that require places to run their own tools in code.Check out the video podcast version here https://youtu.be/l8LBqDUwtV8Creators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Ivan Burazin - Guest Vedran Jukic - Guest You can also support my content by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com (00:00) - Intro (06:08) - Daytona's Sandbox Technology (12:57) - Practical Applications and Use Cases (14:29) - Security and Isolation in AI Agents (17:59) - Start Up Times for Sandboxing and Kubernetes (22:51) - Daytona vs Lambda (31:06) - Rogue Models and Isolation (34:54) - Humanless Operations and the Future of DevOps (47:17) - SDK vs MCP (50:15) - Human in the Loop (51:13) - Daytona: Open Source vs Product Offering

Join Dan Vega for the latest updates from the Spring Ecosystem. In this special episode, Dan is joined by Spring expert and author Craig Walls for an exciting AI show and tell segment, where they demonstrate and discuss their favorite AI tools currently transforming their development workflows.Following the show and tell, Craig shares insights from his upcoming Manning book "Spring AI in Action," exploring how developers can build intelligent Java applications using Spring's powerful AI abstractions. The episode wraps up with a preview of their collaborative workshop "Practical AI Integration with Java: A Hands-On Workshop" at dev2next 2025, where they'll teach hands-on AI implementation techniques for Java developers.Whether you're looking to discover new AI tools to boost your productivity or interested in integrating AI capabilities into your Spring applications, this episode offers practical insights and real-world examples from two experts actively working in the AI space.You can participate in our live stream to ask questions or catch the replay on your preferred podcast platform.Show NotesMain Topics Discussed1. Craig's Upcoming Book - "Spring AI in Action"Currently available in early access through Manning PublicationsExpected print release: Fall 2025Covers Spring AI development from basics to advanced topicsIncludes chapter on "Evaluating Generated Responses" - testing AI applications2. Dan's New Course Launch"AI for Java Developers" - Introduction to Spring AINearly 6 hours of contentCovers 12-18 months of Spring AI learningJust launched last week3. AI Development Tool Categories DiscussionStandalone Chatbots: ChatGPT, Google Gemini, Anthropic ClaudeInline IDE Assistants: GitHub Copilot, JetBrains AI, Amazon CodeWhispererAgentic AI IDE Environments: Cursor, Windsurf, JuniTerminal-based Agentic CLI Tools: Claude Code, OpenAI Codex, Gemini CLI4. Live DemonstrationsDan: Demonstrated Claude Code CLI tool for project planning and development workflowsCraig: Showcased Embable framework for building goal-oriented AI agents5. Testing AI ApplicationsDeterministic vs non-deterministic testing approachesUsing evaluators for response validationFact-checking and relevance evaluation techniques6. Future of Spring AIAgent framework capabilitiesAgentic workflows vs autonomous planningIntegration with tools like EmbableLinks and ResourcesBooks and CoursesSpring AI in Action (Early Access) - Craig WallsAI for Java Developers Course - Dan Vega (link to be added to show notes)Tools MentionedIDE Assistants:GitHub CopilotJetBrains AI AssistantAmazon CodeWhispererAgentic IDE Environments:CursorWindsurfJetBrains JunieCLI Tools:Claude CodeGemini CLIOpenAI CodexFrameworks and LibrariesSpring AIEmbable - Rod Johnson's agent frameworkSpring BootSpring ShellContact InformationCraig Walls: Habuma.com - Links to all social mediaDan Vega:Spring Developer Advocate at BroadcomLearn more at https://www.danvega.devUpcoming Eventsdev2Next Workshop: 8-hour Spring AI workshop with Dan Vega and Craig Walls (Colorado Springs)Key Takeaways"You are the pilot, not the passenger" - Stay in control when using AI development toolsStart with simpler tools like Copilot before moving to full agentic environmentsProper testing strategies are crucial for AI applicationsCode reviews and CI/CD pipelines are more important than ever with AI-generated codeThe AI development tool landscape is rapidly evolving with new categories emergingThis episode was recorded live on Monday, June 30, 2025. Watch the replay on the Spring Developer YouTube channel or listen wherever you get your podcasts.

Still pasting tokens into Slack? What types of secrets are at risk, and which tools fit which consumer—humans, CI/CD, or workloads? Where do most teams stumble, and how do you fix it fast? Hear our no-nonsense checklist.   Connect with us on LinkedIn or X (see info at https://devsecops.fm/about/). We are happy to answer any questions, hear suggestions for new episodes, or hear from you, our listeners. The video version of this episode is available on our YouTube channel LinkedIn page of the DevSecOps Talks team is here

Mike & Tommy are joined one last time by Mathias as they talk technical process and strategy.Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Seth: https://www.linkedin.com/in/seth-bauer/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

Updating developer tools is essential for developers who want to stay efficient, secure, and competitive. In this episode of Building Better Developers with AI, Rob Broadhead and Michael Meloche explore how maintaining modern toolsets helps individuals and teams deliver better software, faster. With support from AI-generated analysis and real-world experience, they outline the risks of falling behind—and how to move forward. Listen to the full episode of Building Better Developers with AI for practical insights and ideas you can start applying today. Efficiency and Profitability When Updating Developer Tools AI captured the core message well: using outdated tools slows down delivery, creates unnecessary friction, and ultimately reduces profitability. For side hustlers and teams alike, this loss of efficiency can make or break a project. Rob pointed out that many developers begin their careers using only basic tools. Without proper exposure to modern IDEs like IntelliJ, Visual Studio Code, or Eclipse, they miss out on powerful features such as debugging tools, plugin support, container integration, and real-time collaboration. Warning Signs You Should Be Updating Developer Tools How do you know it's time to update your development tools? Rob and Michael discussed key red flags: Frequent crashes or poor performance Lack of support for modern languages or frameworks Weak integration with tools like GitHub Actions or Docker Outdated or unsupported plugins Inconsistent tooling across team members Neglecting to update developer tools can lead to slow onboarding, poor collaboration, and increased bugs—especially in fast-paced or regulated environments. Tool Standardization vs. Flexibility When Updating Tools There's a balance between letting developers choose their tools and ensuring consistency across a team. While personal comfort can boost productivity, it may also cause challenges when teams debug or collaborate. Rob and Michael recommend hosting internal hackathons to explore new toolchains or standardize workflows. These events give teams a structured way to evaluate tools and share findings. The Security Risk of Not Updating Developer Tools Michael highlighted that outdated tooling doesn't just slow developers down—it creates serious security and compliance risks. Being just one or two versions behind can open vulnerabilities that violate standards like HIPPA, OWASP or SOX. Regular updates to SDKs, plugins, and IDEs are essential for staying compliant, especially in sensitive industries like finance or healthcare. How to Evaluate New Tools Before Updating Developer Toolchains Rob offered a practical framework for evaluating new tools: Does it solve a real pain point? Start with a side project or proof of concept. Check for strong community support and documentation. Balance between stable and innovative. Michael added a note of caution: avoid adopting tools with little community activity or long-term support. If a GitHub project has only a couple of contributors and poor maintenance, it's a red flag. Developer Tools to Review and Update Regularly To keep your development environment current, Rob suggested reviewing these tool categories often: IDEs and code editors Version control tools CI/CD systems and build automation Testing and QA frameworks Package managers and dependency systems Containerization and environment management platforms Using AI to convert simple apps into different frameworks can also help evaluate new tools—just make sure not to share proprietary code. Final Thoughts Modern development demands modern tooling. From cleaner code to faster deployment and stronger team collaboration, the benefits of updating developer tools are clear. Whether you're an independent developer or part of a larger organization, regularly reviewing and upgrading your toolset is a habit worth forming. Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Navigating Communication Tools in Modern Workplaces Building a Portable Development Environment That is OS-agnostic Modern Tools For Monetizing Content Updating Developer Tools: Keeping Your Tools Sharp and Efficient Building Better Developers With AI Podcast Videos – With Bonus Content

What happens when you give every employee access to the paid version of ChatGPT? At Knownwell, it wasn't just a tech decision—it was a culture shift. Knownwell CMO Courtney Baker, CEO David DeWolf, and Chief Product & Technology Officer Mohan Rao explore the real-world implications of a strategic move: providing company-wide access to ChatGPT. They share what sparked the decision and how a structured rollout strategy transformed productivity, communication, and innovation across the team. They also dive into what smart deployment looks like, from setting enterprise controls to embedding AI within your company's OKRs. Pete Buer kicks off the episode with an eye-opening look at Apple's latest research into large language model reasoning and why businesses must approach AI tools with both optimism and caution. He unpacks the importance of human-AI collaboration and encourages leaders to ditch the “magic wand” mindset. Also in this episode: Part two of Pete's interview with Ardy Tripathy, AI lead at OpsCanvas. Ardy reveals how AI can help eliminate “zombie resources” in cloud infrastructure, streamline CI/CD pipelines, and enhance visibility across systems. He also offers practical tips for CEOs on how to lead AI experimentation without losing control. This episode is a must-listen for leaders navigating the AI learning curve, and for teams wondering what enterprise-wide access really unlocks. Watch this episode on YouTube: https://youtu.be/NneA_LgHEYc  Curious what your company's data looks like on Knownwell? Schedule a demo at www.knownwell.com.   

In this season of the Analytics Engineering podcast, Tristan is digging deep into the world of developer tools and databases. There are few more widely used developer tools than Docker. From its launch back in 2013, Docker has completely changed how developers ship applications.  In this episode, Tristan talks to Solomon Hykes, the founder and creator of Docker. They trace Docker's rise from startup obscurity to becoming foundational infrastructure in modern software development. Solomon explains the technical underpinnings of containerization, the pivotal shift from platform-as-a-service to open-source engine, and why Docker's developer experience was so revolutionary.  The conversation also dives into his next venture Dagger, and how it aims to solve the messy, overlooked workflows of software delivery. Bonus: Solomon shares how AI agents are reshaping how CI/CD gets done and why the next revolution in DevOps might already be here. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

In this episode of Building Better Developers, hosts Rob Broadhead and Michael Meloche explore how to improve team collaboration in software development through the lens of AI-driven insights. Whether you're a solo developer, part of a tight-knit team, or scaling across departments, collaboration remains the backbone of efficiency and success. What Does Collaboration Mean in Development? AI kicked off the discussion with a powerful insight: define “efficiency” in context. But more importantly, it highlighted that collaboration fuels efficiency, not just working faster, but working better. Effective collaboration avoids: Redundant work Misunderstood requirements Tech debt and burnout Rob emphasized that a productive team isn't rushing through tasks but solving the correct problems—together—on the first try. Collaboration Strategies for Solo Developers Even solo developers need structured collaboration between their tools, their future selves, and their automation stack. Top collaboration tips for independent devs: Use opinionated frameworks like Next.js or Rails to minimize decision fatigue. Automate repetitive tasks early to save time in the long run. Commit code regularly with meaningful messages. Document workflows using Notion, Obsidian, or Jira—even if you're the only one using them. Containerize development environments for repeatability and rapid setup. “Solo doesn't mean siloed. Collaborate with your tools, your past decisions, and future goals.” Enhancing Collaboration in Small Development Teams For teams of 2–10 developers, Rob and Michael discussed how tight feedback loops and structured communication are essential to avoid chaos. Recommended practices for small team collaboration: Short, focused daily standups Shared development environments Lightweight Agile or Kanban boards Early investment in CI/CD pipelines Use of pair programming or mob programming for knowledge sharing Michael emphasized Agile's power in synchronizing team efforts, avoiding duplicated work, and solving problems more efficiently as a unit. “Agile helps teams collaborate—not just communicate. It keeps everyone moving in the same direction.” Solving Common Bottlenecks Together AI highlighted four universal collaboration pain points and solutions: Slow Code Reviews - Use SLAs and rotate reviewers Unclear Requirements - Kick off with 15-minute clarification huddles Testing Paralysis - Focus on integration tests and avoid overtesting Context Switching - Block dedicated focus hours Michael zeroed in on testing paralysis, especially in early-stage projects, where developers are too busy scaffolding to write tests. Without collaboration on testing plans, critical issues may be overlooked until it is too late. Rob addressed context switching, warning against excessive meetings that fragment developer flow. Leads should shield devs from distraction by delivering distilled, actionable feedback. Final Thoughts on Collaborative Development As teams grow, minor issues scale fast, and so do inefficiencies. Tools, meetings, workflows, and expectations must all scale intentionally. Rob reminded leaders to summarize and distill information before passing it to their teams and to make clever use of tools like AI, recordings, and summaries to keep everyone aligned without wasting time. “If you're building better developers, you're also building better collaborators.” Take Action: Build Collaboration Into Your Workflow Reassess your standups and review cycles Empower solo devs with documentation and CI/CD Streamline onboarding with containers Test early, test together Protect team focus time Stay Connected: Join the Developreneur Community We invite you to join our community and share your coding journey with us. Whether you're a seasoned developer or just starting, there's always room to learn and grow together. Contact us at info@develpreneur.com with your questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Embrace Feedback for Better Teams Using Offshore Teams and Resources – Interview With Tanika De Souza Moving To Mobile Teams and Building Them – Sebastian Schieke Building Better Developers With AI Podcast Videos – With Bonus Content

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

This is episode 296 recorded on June 6th, 2025, where John & Jason talk the Microsoft Fabric May 2025 Feature Summary including a REST API updates for Fabric, updates to User Data Functions, Copilot in Power BI support for Fabric data agents, CosmosDB in Fabric, DataFlows Gen 2 CI/CD support is now GA,  updates to Data Pipelines & Mirroring, and much more. For show notes please visit www.bifocal.show

If you like what you hear, please subscribe, leave us a review and tell a friend!

In this episode of Semaphore Uncut, Gou Rao—AI infrastructure veteran and co-founder of Neubird—joins Darko to explore how LLMs can support DevOps teams not just with suggestions, but with reasoning, context gathering, and real-time incident diagnosis. He shares the vision behind Hawkeye, Neubird's “digital engineer,” and what it means to build agentic systems that think and operate like humans.Like this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️ review on the podcast player of your choice and share it with your friends.

In a tech-driven world, human connection is more critical than ever. In this episode of DevOps Diaries, Jack McCurdy sits down with Jon Cline to explore the power of a people-first approach in the Salesforce ecosystem and beyond. Discover strategies for navigating high-pressure situations, resolving conflict with emotional intelligence, and turning chaos into compliments. Learn how to foster a culture that attracts and retains top talent by focusing on what truly matters: your people.About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKWChapters00:00 Introduction to the Salesforce Ecosystem03:02 The People-First Method: Transforming Teams06:05 Conflict Resolution and Project Success09:08 Embracing Discomfort in Professional Growth11:48 The Importance of Face-to-Face Interactions14:50 Navigating High-Pressure Situations17:50 The Future of Human Engagements20:53 Recognizing Dynamics in Team Interactions26:19 Navigating Political Challenges in Team Dynamics29:16 The Power of Small Talk in Team Collaboration30:43 Establishing a Culture of Values and Recognition33:41 Attracting and Retaining Talent in a Competitive Market35:31 Demonstrating Authentic Company Culture36:32 Transforming Chaos into Compliments40:50 People-First Approach to Leadership and Change

Every enterprise is legit rushing to build AI agents.But there's no instructions. So, what do you do? How do you make sure it works? How do you track reliability and traceability? We dive in and find out.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Google Gemini's Veo 3 Video Creation ToolTrust & Reliability in AI AgentsBuilding Reliable AI Agents GuideAgentic AI for Mission-Critical TasksMicro Agentic System Architecture DiscussionNondeterministic Software Challenges for EnterprisesGalileo's Agent Leaderboard OverviewMulti-Agent Systems: Future ProtocolsTimestamps:00:00 "Building Reliable Agentic AI"05:23 The Future of Autonomous AI Agents08:43 Chatbots vs. Agents: Key Differences10:48 "Galileo Drives Enterprise AI Adoption"13:24 Utilizing AI in Regulated Industries18:10 Test-Driven Development for Reliable Agents22:07 Evolving AI Models and Tools24:05 "Multi-Agent Systems Revolution"27:40 Ensuring Reliability in Single AgentsKeywords:Google Gemini, Agentic AI, reliable AI agents, mission-critical tasks, large language models, AI reliability platform, AI implementation, microservices, micro agents, ChuckGPT, AI observability, enterprise applications, nondeterministic software, multi-agentic systems, AI trust, AI authentication, AI communication, AI production, test-driven development, agent EVALS, Hugging Face space, tool calls, expert protocol, MCP protocol, Google A2A protocol, multi-agent systems, agent reliability, real-time prevention, CICD aspect, mission-critical agents, nondeterministic world, reliable software, Galileo, agent leaderboard, AI planning, AI execution, observability feedback, API calls, tool selection quality.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.

Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.

Mike & Tommy run through the latest developments with Git, CI/CD, and Data Ops at Microsoft Build 2025.Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Seth: https://www.linkedin.com/in/seth-bauer/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

Packaging MLOps Tech Neatly for Engineers and Non-engineers // MLOps Podcast #322 with Jukka Remes, Senior Lecturer (SW dev & AI), AI Architect at Haaga-Helia UAS, Founder & CTO at 8wave AI. Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractAI is already complex—adding the need for deep engineering expertise to use MLOps tools only makes it harder, especially for SMEs and research teams with limited resources. Yet, good MLOps is essential for managing experiments, sharing GPU compute, tracking models, and meeting AI regulations. While cloud providers offer MLOps tools, many organizations need flexible, open-source setups that work anywhere—from laptops to supercomputers. Shared setups can boost collaboration, productivity, and compute efficiency.In this session, Jukka introduces an open-source MLOps platform from Silo AI, now packaged for easy deployment across environments. With Git-based workflows and CI/CD automation, users can focus on building models while the platform handles the MLOps.// BioFounder & CTO, 8wave AI | Senior Lecturer, Haaga-Helia University of Applied SciencesJukka Remes has 28+ years of experience in software, machine learning, and infrastructure. Starting with SW dev in the late 1990s and analytics pipelines of fMRI research in early 2000s, he's worked across deep learning (Nokia Technologies), GPU and cloud infrastructure (IBM), and AI consulting (Silo AI), where he also led MLOps platform development. Now a senior lecturer at Haaga-Helia, Jukka continues evolving that open-source MLOps platform with partners like the University of Helsinki. He leads R&D on GenAI and AI-enabled software, and is the founder of 8wave AI, which develops AI Business Operations software for next-gen AI enablement, including regulatory compliance of AI.// Related LinksOpen source -based MLOps k8s platform setup originally developed by Jukka's team at Silo AI - free for any use and installable in any environment from laptops to supercomputing: https://github.com/OSS-MLOPS-PLATFORM/oss-mlops-platformJukka's new company:https://8wave.ai~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExploreJoin our Slack community [https://go.mlops.community/slack]Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)] Sign up for the next meetup: [https://go.mlops.community/register]MLOps Swag/Merch: [https://shop.mlops.community/]Connect with Demetrios on LinkedIn: /dpbrinkmConnect with Jukka on LinkedIn: /jukka-remesTimestamps:[00:00] Jukka's preferred coffee[00:39] Open-Source Platform Benefits[01:56] Silo MLOps Platform Explanation[05:18] AI Model Production Processes[10:42] AI Platform Use Cases[16:54] Reproducibility in Research Models[26:51] Pipeline setup automation[33:26] MLOps Adoption Journey[38:31] EU AI Act and Open Source[41:38] MLOps and 8wave AI[45:46] Optimizing Cross-Stakeholder Collaboration[52:15] Open Source ML Platform[55:06] Wrap up

Julián Duque from Heroku joins me to explain and demo their new AI platform.Check out the video podcast version here https://youtu.be/BGqlLZHdRDsCreators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Julián Duque - Guest You can also support my content by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com (00:00) - Introduction (05:12) - Deep Dive into Heroku's AI Capabilities (14:23) - Heroku MCP server (28:27) - Describing MCP Tool Interactions (30:48) - DevOps Automation with Heroku MCP server (37:02) - Heroku AI and Future Prospects

In this episode, Dan and I (Steve) dove deep into what turned out to be a surprisingly complex, yet incredibly insightful topic: gradually migrating a massive legacy JavaScript project over to TypeScript. We're talking about nearly 1,000 JS files, 70,000+ lines of code, and years of developer history—all transitioning carefully to a typed, modern future.Dan walked us through how he started by setting up the project for success before converting even one file—getting CI/CD ready, setting up tsconfig.json, sorting out test dependencies, dealing with mock leaks, and even grappling with quirks between VS Code and WebStorm debugging.We talked tools (like TS-ESLint, concurrently, and ts-node), why strict typing actually uncovered real bugs (and made the code better!), and why it's crucial not to touch any .js files until your TypeScript setup is rock solid.Key Takeaways:Gradual migration is 100% possible—and often better—than ripping the bandaid off.TypeScript can and will catch bugs hiding in your JavaScript. Be prepared!Use VS Code extensions or TS-Node to support your devs' tooling preferences.Don't underestimate the setup phase—it's the foundation of long-term success.Start small: Dan's team converted just one file at first to test the whole pipeline.If you're sitting on a legacy JS project and dreaming of TypeScript, this episode is your blueprint—and your warning sign.Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.

Launching our new Podcast: https://agenticdevops.fmBret and Nirmal are at KubeCon London and record their ideas about how AI Agents will change DevOps, platform engineering, SRE, automation, troubleshooting, and more.Creators & Guests Cristi Cotovan - Editor Bret Fisher - Host Beth Fisher - Producer Nirmal Mehta - Host You can also support my content by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com

Join us for an in-depth conversation with Ari Mahpour, Embedded Systems Engineer at Rivian, as he reveals how AI is revolutionizing embedded development and testing workflows on this episode of the OnTrack Podcast.    From voice-controlled Arduino programming to automated hardware-in-the-loop testing, discover cutting-edge techniques that are transforming the industry. Learn about embedded DevOps, Cloud-driven testing infrastructure, and how AI agents can write, compile, and test code autonomously.   Explore the intersection of hardware and software development, from NASA's space missions to modern automotive systems. Ari shares practical insights on bridging the gap between electronics design and software development, implementing CI/CD pipelines for embedded systems, and leveraging AI for everything from data sheet analysis to automated test generation.    Resources from this episode:  - Check out the Octopart YouTube Channel: https://www.youtube.com/@Octopart - Browse all of Ari's Tutorials on Octopart: https://youtube.com/playlist?list=PLtZurp7-0DcVXIR-fvnjVU0UyxgVSgSYu&si=kXqnNeSoAkGEh6oz - Connect with Ari here: https://www.linkedin.com/in/arimahpour/  

Solomon most famously created Docker and now runs Dagger… which has something special to share with you on Thursday. Catch Dagger at: - Tuesday: Dagger's workshop https://www.ai.engineer/schedule#ship-agents-that-ship-a-hands-on-workshop-for-swe-agent-builders - Wednesday: Dagger's talk: https://www.ai.engineer/schedule#how-to-trust-an-agent-with-software-delivery - Thursday: Solomon's Keynote https://www.ai.engineer/schedule#containing-agent-chaos Chapters 00:00 Introduction & Guest Background 00:29 What is Dagger? Post-Development Automation 01:08 Dagger's Community & Platform Engineers 02:32 AI Agents and Developer Workflows 03:40 Environment Isolation & The Power of Containers 06:28 The Need for Standards in Agent Environments 07:25 Design Constraints & Challenges for Dev Environments 11:26 Limitations of Current Tools & Agent-Native UX 14:11 Modularity, Customization, and the Lego Analogy 16:24 Convergence of CICD and Agentic Systems 17:41 Ephemeral Apps, Resource Constraints, and Local Execution 21:01 Adoption, Ecosystem, and the Role of Open Source 23:30 Dagger's Modular Approach & Integration Philosophy 25:38 Looking Ahead: Workshops, Keynotes, and the Future of Agentic Infrastructure

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM

Sudheer Amgothu is a seasoned DevOps engineer with over a decade of experience, renowned for his expertise in cloud technologies, infrastructure automation, and DevOps practices. His career spans various industries, where he has implemented DevOps strategies to accelerate software development cycles, improve system reliability, and enhance operational efficiency."I started my career as a traditional systems engineer," Sudheer says, reflecting on his journey. "I was always drawn to automation, seeing the inefficiencies in manual processes, especially around deployments and monitoring. That's what pulled me into the world of DevOps." His early work in infrastructure automation on AWS laid the foundation for his expertise in the field. "At Elevation, I led efforts to automate the entire infrastructure stack using Terraform and Ansible, which empowered development teams to work faster with less friction."In addition to his technical prowess, Sudheer is an advocate for the cultural transformation DevOps fosters within organizations. "DevOps is more than just automation or tools. It's a culture that brings development and operations teams together with a shared goal of delivering software faster, more reliably, and with higher quality," he explains. "It emphasizes collaboration, continuous feedback, and a mindset of continuous improvement."Sudheer's new book, Mastering DevOps with Kubernetes and Cloud: A Practical Guide, draws from his vast experience and is designed as a hands-on resource for mastering DevOps. "I wanted to create a practical guide, not a theory-heavy textbook," he says. "It's loaded with real-world war stories, step-by-step walkthroughs, and diagrams that show how tools like Terraform, Jenkins, and Kubernetes work together in modern DevOps pipelines."His book, which covers everything from the basics to advanced techniques, was inspired by his conversations with junior engineers and site reliability engineers (SREs). "They understood what DevOps is but struggled with the 'why' and 'how,'" he recalls. "I realized the need for a guide that answers those questions and provides actionable insights."Sudheer's expertise extends beyond DevOps to cloud platforms and Kubernetes, where he has successfully scaled microservices platforms and implemented observability practices. "At Pega, we centralized Prometheus and Grafana dashboards to ensure real-time visibility into production issues," he says. "This proactive approach helped us detect anomalies before they became incidents, improving both system reliability and customer satisfaction."For aspiring DevOps professionals, Sudheer advises, "Don't rush. Start with the basics. Pick a tool like Jenkins, learn how a CI/CD pipeline works, and build from there. The most important thing is hands-on practice and experimentation." His dedication to mentoring the next generation of engineers is evident in his personal approach to career growth, encouraging others to document their learning and contribute to open-source projects.Sudheer's passion for DevOps, cloud technologies, and continuous improvement makes him a respected figure in the field, and his book stands as an essential resource for anyone looking to excel in modern IT environments.You read read the full interview transcript here: https://shoutradio.org.uk/RNH/SudheerAmgothuInterview.pdfAnd find his book here: https://a.co/d/ecU0gzEHighlights from Toby Gribben's Friday afternoon show on Shout Radio. Featuring chat with top showbiz guests. Hosted on Acast. See acast.com/privacy for more information.

In the Season 14 premiere, hosts Dan Ivovich and Sundi Myint chat with Isaac Yonemoto, creator of the Zigler library, to explore how Zigler brings Zig's performance and safety to Elixir through Native Implemented Functions (NIFs). Isaac walks through the core design of Zigler and how it auto-generates the Elixir-to-Zig bridge, enforces type safety, and exposes multiple execution modes (normal, dirty, threaded). The conversation covers real-world applications, from SIMD-powered token selection for LLM hardware acceleration to OTP-style fault tolerance in low-level code. Isaac shares his own journey: stepping back from professional software work to launch a biotech startup focused on reducing drug manufacturing costs while continuing to maintain Zigler and even leveraging Elixir for bioinformatics pipelines. Topics discussed in this episode: What is the Zigler library and what does it do? What does it mean to run a "dirty NIF"? Async mode is temporarily removed from Zig (therefore, yielding NIFs is temporarily deprecated in Zigler) Zigler's three execution modes (normal, dirty, and threaded) and how you switch modes with a single config change Isaac's journey from professional software work to launching a biotech startup How Isaac leverages Elixir in bioinformatics pipelines at his startup LLM hardware acceleration using Zigler NIFs and SIMD-powered token picking Fault-tolerant load balancing of NIF workloads via OTP principles Transparent handling and recovery from hardware failures through monitoring Potential future memory-safety features in Zig and their implications The Elixir-based borrow-checker prototype: purpose and design Unit-checking for scientific computations to enforce correctness New OS support in Zigler 0.14: macOS, Windows, and FreeBSD Inline Zig code authoring directly within Elixir modules Isaac's commitment to maintain Zigler through its 1.0 release (...and beyond?) Links mentioned: https://github.com/E-xyza/zigler https://github.com/ziglang/zig https://vidalalabs.com/ Zig Programming Language: https://ziglang.org/ https://obsidian.md/ https://hexdocs.pm/elixir/macros.html https://erlang.org/documentation/doc-4.7.3/doc/extensions/macros.html A Deep Dive Into the Elixir AST: https://dorgan.ar/posts/2021/04/theelixirast/ https://www.erlang.org/doc/system/nif.html https://nodejs.org/en Llama Open-Source LLM: https://www.llama.com/ Mixtral Open-Source LLM: https://mistral.ai/news/mixtral-of-experts https://Fly.io SIMD: https://en.wikipedia.org/wiki/Singleinstruction,multiple_data https://opentrons.com/ CI/CD: https://en.wikipedia.org/wiki/CI/CD https://hexdocs.pm/zigler/Zig.html http://www.x.com/DNAutics https://bsky.app/profile/dnautics.bsky.social

In this episode of DevOps Diaries, host Jack McCurdy sits down with Dangsenpenan, a Salesforce Analyst at RSPCA. Discover Dangsenpenan's inspiring self-taught journey into the Salesforce world and how he's paying it forward by founding West Africa Dreaming. Learn about the power of accountability, the strength of the global Salesforce Ohana in fostering local talent, and the challenges of event sponsorship. Dangsenpenan also shares insights on engaging the next generation in tech and the evolving definition of community in the digital age. Tune in for a story of passion, community building, and the transformative impact of non-profit work.About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2Subscribe to Gearset's YouTube channel: https://grst.co/4cTAAxmLinkedIn: https://www.linkedin.com/company/gearsetX/Twitter: https://x.com/GearsetHQFacebook: https://www.facebook.com/gearsethqAbout Gearset: Gearset is the leading Salesforce DevOps platform, with powerful solutions for metadata and CPQ deployments, CI/CD, automated testing, sandbox seeding and backups. It helps Salesforce teams apply DevOps best practices to their development and release process, so they can rapidly and securely deliver higher-quality projects. Get full access to all of Gearset's features for free with a 30-day trial: https://grst.co/4iKysKWChapters:00:00 Introduction to Dangsenpenan's Journey02:53 The Path to Salesforce: A Unique Journey05:53 Self-Learning and Overcoming Challenges09:02 The Importance of Accountability in Learning11:51 Building a Community: West Africa Dreaming14:53 Creating Opportunities for Others17:59 The Global Salesforce Community and Its Impact20:59 Vision for the Future: Expanding the Community25:37 Building Community Through Ohana Spirit30:29 Overcoming Challenges in Sponsorship35:47 The Power of Non-Profit Work41:48 Engaging the Next Generation in Tech45:03 Redefining Community in the Digital Age

At KubeCon EU 2025 in London, Nirmal and I discussed the important (and not-so-important) things you might have missed. There's also a video version of this show on YouTube.Creators & Guests Cristi Cotovan - Editor Beth Fisher - Producer Bret Fisher - Host Nirmal Mehta - Host (00:00) - DDT Audio Podcast Edited (00:04) - Intro (01:24) - KubeCon 2025 EU Overview (03:24) - Platform Engineering and AI Trends (07:03) - AI and Machine Learning in Kubernetes (15:38) - Project Pavilions at KubeCon (17:05) - FinOps and Cost Optimization (20:39) - HAProxy and AI Gateways (24:00) - Proxy Intelligence and Network Layer Optimization (26:52) - Developer Experience and Organizational Challenges (29:23) - Platform Engineering and Cognitive Load (35:54) - End of Life for CNCF Projects You can also support my free material by subscribing to my YouTube channel and my weekly newsletter at bret.news!Grab the best coupons for my Docker and Kubernetes courses.Join my cloud native DevOps community on Discord.Grab some merch at Bret's Loot BoxHomepage bretfisher.com

Where does the next phase of AI-assistants for software development go next? Is it an evolution of developer productivity, or a complete rethinking of the barriers and limitations for broader software development? SHOW: 924SHOW TRANSCRIPT: The Cloudcast #924 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:Cut Enterprise IT Support Costs by 30-50% with US CloudSHOW NOTES:WHERE DO AI DEVELOPER-ASSISTANTS GO NEXT?A year ago it felt like co-pilots were one of the entry point use-cases for AI.Since then we've seen numbers say the uplift is 10-20% productivity.Microsoft claims that 20-30% of their code is now written by AIs.We've seen many senior developers speakout that it's not replacement level technology and they don't trust it.Companies like Cursor have a $9-10B valuation. Windsurf just got purchased for $3B by OpenAI.Microsoft has Co-Pilot (based on OpenAI models). Google and Amazon are rumored to be launching their own.Lots of companies are launching agents (IBM, Salesforce, Oracle, etc.), and lots of agent frameworks now exist. So where does it go next? Is it just wide-spead adoption of developer productivity? Is it specialized functions within developer workflows? (e.g. CI/CD, documentation, security evaluations, bug fixes, long-term maintenance, etc.)How far are we from teams being just a few architects, leads, Sr. Devs, and then teams of AI's (agents, etc.)?Is that a good thing for Sr. Dev personalities that didn't want to focus on soft-skills?Does that allow for greater experimentation against feature-requests or stories, since they can create more, test more, etc.?Do we start to see companies create skunkworks teams/groups that try to adopt this approach? Are product managers ready to have zero-backlogs and the demand for new ideas to increase?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod