Podcasts about DevOps

Today's guest knows what it means to lead when the stakes are high. Nate Amidon spent 15 years guiding people and programs across the U.S. Air Force, Microsoft, Boeing, and Alaska Airlines. He's an Air Force C-17 evaluator pilot with more than 3,200 flight hours—including 800 in combat—and over 1,500 hours as an instructor teaching young pilots how to fly, make decisions under pressure, and lead crews on global missions. When he transitioned from active duty, Nate brought that same discipline into technology—consulting as a Project Manager, Scrum Master, and Scaled Agile Framework coach on enterprise software programs. He went on to found Form100 Consulting, where he helps clients apply military-tested leadership practices to build strong, high-performing teams that endure. In our conversation, Nate and I talked about how hard that transition actually was. Even with a degree from the Air Force Academy and an MBA, landing his first role at Microsoft wasn't simple—and it showed him how untapped the veteran talent pool really is. That frustration was the spark for Form100, where he now connects veterans with organizations desperate for alignment, communication, and trust. We also dug into why veterans are uniquely equipped for tech: they're trained to see the whole mission, not just their own slice. They know how to drive clarity in chaos, how to align teams across silos, and how to solve problems with urgency but also with care. Nate reminded us that in technology, speed without alignment is just drift. Veterans bring the perspective to check the vector, build relationships, and keep the team moving in the right direction. Nate holds a Management degree from the U.S. Air Force Academy, an MBA from the University of Nebraska, and certifications spanning PMP, CSM, SPC, Lean Six Sigma, and DevOps. He also continues to serve as a reservist C-17 pilot with the 313th Airlift Squadron.

It’s time to talk crypto. No, not the Bitcoin kind. Ethan and Holly introduce the basics of IPsec, the protocol that authenticates and encrypts traffic between endpoints. They discuss what it is, how it provides trustworthiness and secrecy to IP traffic, and common use cases. They review the different types of IPsec protocols and modes,... Read more »

Conheça como levar ambientes de desenvolvimento para a nuvem sem drama de setup, conflitos de versão ou aquela maratona de instalar NVM, Java, Python e afins. Neste papo com Miguel e Oscar, fundadores da CPS1, destrinchamos o que é um Cloud Development Environment (CDE), por que ele acelera o onboarding e como tiramos proveito de workspaces efêmeros para codar com tudo pronto, do banco ao message broker, em um clique. Falamos também de governança e observabilidade do ponto de vista de plataforma.Entramos a fundo na arquitetura: CPS1 como Operator no Kubernetes, templates que definem linguagem, dependências e recursos (bancos, filas, caches) e workspaces isolados, acessíveis via VS Code/JetBrains/SSH. Discutimos o clássico VDI vs CDE, eficiência de recursos com contêineres, menores custos/atritos para times de Ops e o impacto direto no famoso “time to first PR”.E não faltou OPS também: de Git branch a ambientes efêmeros, de Terraform/Ansible testados em contêiner até Quickstart e Helm charts para rodar self‑hosted. De quebra, ainda falamos de Rust por baixo do capô e da (futura) automação com agentes que criam workspaces e abrem PRs sozinhos. Sim, a hype está servida — mas com engenharia por trás.Links Importantes:- João Brito - https://www.linkedin.com/in/juniorjbn- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflM- Conheça a CPS1 -  https://cps1.tech- Documentação pra começar na CPS1: https://docs.cps1.tech/latest/quickstart/- Miguel: https://www.linkedin.com/in/mciurcio/- Oscar: https://www.linkedin.com/in/oesgalha/Hashtags#CloudDevelopmentEnvironment #CDE #Kubernetes #DevOps #DevSecOps #Kubicast #Containers #Getup #PlatformEngineering #RemoteDevelopment #VSCode #JetBrains #KubernetesOperator #GitOps #Rust #Onboarding #Workspaces #Templates #Governança #CRDO 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 the changing landscape of AI data infrastructure, F5 and MinIO are partnering on a solution that brings together the best of each company. This solution bookends the AI stack—it uses F5 for reliable, secure, and observable data delivery and MinIO’s AIStor for storage of all data types. The goal is to help organizations be... Read more »

In the changing landscape of AI data infrastructure, F5 and MinIO are partnering on a solution that brings together the best of each company. This solution bookends the AI stack—it uses F5 for reliable, secure, and observable data delivery and MinIO’s AIStor for storage of all data types. The goal is to help organizations be... Read more »

Tage Bushman joins me this week to talk about his career path to become a Professor at Western Technical College. It's a fascinating subject for obvious reasons. The ground has been shifting constantly since he first got into tech, but now with AI, things have gotten even more "interesting. Tage teaches in the Cybersecurity program and Web & Software programs. Specifically, I teach Cisco 1 (networking basics), Linux Administration, Database Server Administration, and DevOps. I have also taught Web Programming 1, Intro to Cybersecurity, Cybersecurity Essentials, Business Information Systems, and Software Apps for Business. Tage also hosts two podcasts. He is a huge Disney Parks (specifically Disneyland) fan. He and his friend Teresa host the DLWeekly Podcast and he's also part of The Hub Crawl Podcast, which he calls "a riff off Clockwise" where they bring a Disney question and go around the virtual room. Read an unedited, auto-generated transcript with chapter marks: CCATP_2025_08_25 Referral Links: Setapp - 1 month free for you and me Parallels Toolbox - 3 months free for you and me Learn through MacSparky Field Guides - 15% off for you and me Backblaze - One free month for me and you Eufy - $40 for me if you spend $200. Sadly nothing in it for you. PIA VPN - One month added to Paid Accounts for both of us CleanShot X - Earns me $25%, sorry nothing in it for you but my gratitude

Support the show - try out Insight Hub free for 14 days now: https://testguild.me/insighthub In this episode of the TestGuild DevOps Toolchain Podcast, host Joe Colantonio sits down with Patrick Quilter, CEO of Deploy360, to explore how AI is reshaping DevSecOps and what it means for testers, developers, and security engineers. Patrick shares his unique journey from automation engineer to founder to acquisition, and now leading a company working directly with the Department of Defense on secure, AI-powered development pipelines. You'll learn: Why automation engineers are perfectly positioned to move into security How agentic AI can transform DevOps workflows with specialized security agents Why AI won't replace skilled developers—but can supercharge them The role of local vs. cloud LLMs in security and supply chain protection Where DevSecOps and AI are headed in the next 1–3 years Patrick also reveals how Deploy360 is rolling out its next-gen DevSecOps platform and why small-to-medium businesses may benefit most from early access. Learn more about Patrick and Deploy360: Don't forget to subscribe, share, and leave a review if you find this episode valuable for your testing or DevSecOps journey. Try out SmartBear's Bugsnag for free, today. No credit card required: https://testguild.me/bugsnagfree

In the changing landscape of AI data infrastructure, F5 and MinIO are partnering on a solution that brings together the best of each company. This solution bookends the AI stack—it uses F5 for reliable, secure, and observable data delivery and MinIO’s AIStor for storage of all data types. The goal is to help organizations be... Read more »

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

Episode Summary:AWS Morning Brief for the week of August 25th, 2025, with Corey Quinn. AWS pricing for Kiro dev tool 'a wallet-wrecking tragedySQL injection vulnerability in the AWS Aurora DSQL MCP Server | by Michael Kandelaars | Aug, 2025 | MediumTop AWS chip engineer reportedly defects to ArmCopilot Broke Your Audit Log, but Microsoft Won't Tell You - Pistachio Blog - Cybersecurity Awareness TrainingAWS blames bug for Kiro pricing glitch that drained developer limits | InfoWorldAmazon Cloud Chief: Replacing Junior Staff With AI Is 'Dumbest' Idea - Business InsiderAWS CEO says AI replacing junior staff is 'dumbest ideaHR giant Workday says hackers stole personal data in recent breach | TechCrunchAWS in 2025: The Stuff You Think You Know That's Now Wrong free senior engineer level code reviews right in your IDE CodeRabbitTry Code Rabbit todayCelebrating 10 years of Amazon Aurora innovationVibe code with AWS databases using Vercel v0Enhanced throttling observability in Amazon DynamoDBUnder the hood: how AWS Lambda SnapStart optimizes function startup latencyAWS Security Incident Response introduces integrations with ITSMAmazon Cognito adds terms of use and privacy policy documents support to Managed LoginAWS Billing and Cost Management now provides customizable DashboardsAWS Billing and Cost Management Console adds new recommended actionsAmazon VPC IPAM adds in-console CloudWatch alarm managementhttps://github.com/minimaxir/big-list-of-naughty-strings

We speak with Phil Tee, Zscaler, EVP, Head of AI Innovations at Zenith Live 2025 in Las Vegas.Phil and his team are developing new AI advancements to better secure the use of AI, enabling organizations to integrate and leverage its potential. Phil is responsible for driving AI innovations at Zscaler, leveraging their unique data assets and the latest in AI technology to push forward what's possible in Sec and DevOps for Zscaler customers. His team's goal is to generate novel offerings in the cyber market and ensure that our customers benefit from the remarkable pace of AI innovation.Phil brings the experience of three decades in software and AI entrepreneurship, having founded or co-founded Micromuse, RiverSoft, Promethyan Labs, and Moogsoft. Before joining Zscaler, Phil served as the chairman and CEO of Moogsoft until its acquisition by Dell Technologies. Moogsoft was an early pioneer in the use of AI in operations, credited with founding the AIOps market segment. During his tenure, Phil was directly involved in the groundbreaking technology as a primary inventor in more than 50 patents, and authored or coauthored dozens of academic papers. Before Moogsoft, Phil's roles at RiverSoft and Micromuse—where he invented Netcool—solidified him as a serial disrupter in operations technology.In addition to his entrepreneurial activities, Phil has advised multiple startups and is an adjunct professor at ASU as well as a visiting researcher at the University of Sussex. Phil has an undergraduate degree in Physics and earned a doctorate in Informatics focused on Network Science and Information Theory from Sussex, where he also sits on the board of the School of Informatics.#ZL2025 #zerotrustsecurity #mysecuritytv #zscaler

The battery materials startup raised significant Series D funding to expand its manufacturing capability. At the same time, it bought out partner SK's stake in a joint venture. The company helps automate complex enterprise workflows (like continuous integration and testing) — or, in other words, it makes DevOps capabilities more efficient as AI technology takes hold. Learn more about your ad choices. Visit podcastchoices.com/adchoices

BONUS: The Platform-as-Product Revolution: How to Turn Your Biggest Cost Center Into Your Secret Weapon With Alvaro Lorente In this BONUS episode we explore a topic that's creating a lot of discussion—and sometimes confusion—in the software community: Platform Teams vs DevOps. In this conversation, we dive into Alvaro Lorente's journey from delivery teams to platform leadership, exploring how to treat platforms as products, avoid common pitfalls, and build bridges between engineering and product leadership. The Evolution from DevOps Role to Platform Team "DevOps is a culture, not a role." Alvaro's journey into platform work began when he joined a company where the infrastructure team was left behind and struggling with traditional DevOps approaches. Initially, they had a single DevOps person who became a bottleneck rather than an enabler. This experience highlighted a fundamental misunderstanding that many organizations face—treating DevOps as a job title rather than a cultural shift toward collaboration and shared responsibility. The team experimented with a "DevOps buddy" approach, placing experienced individuals within each delivery team, before eventually consolidating into a dedicated platform team with the clear intention of treating it as a product-focused unit. Platform as a Product: A Scaling Strategy "Platform as a product is a scaling strategy. Look for common problems that you can then solve once, and serve many." The concept of treating platforms as products emerged from recognizing that feature delivery teams have continuity and ongoing needs that a platform team should serve. Rather than solving their own problems first, successful platform teams focus on making other teams' work easier and more comfortable while managing costs effectively. This approach requires identifying common problems across multiple teams and creating solutions that can be implemented once but serve many. The key insight is that platform teams exist to facilitate the delivery of value in a scalable way for other teams, not to pursue their own technical interests. Understanding Your Customer and Validating Value "I want to see platform team members talking to their customers. Understand their pains, and what they struggle with." Effective platform teams operate like any other product team by actively listening to their customer-teams rather than pushing ideas onto them. This means platform team members should regularly engage with their internal customers to understand pain points and struggles. Success requires defining clear KPIs for the platform and focusing on the quality of deliverables including release notes, demos, bug fixing processes, and feature prioritization. The validation comes from observing whether teams willingly adopt platform features rather than being mandated to use them. Building Bridges with Product Leadership "Focus on the key impact and value that the platform team can bring to the company." Making the case for investing product talent in platform teams requires demonstrating concrete business value. This includes quantifying how many incidents are being resolved faster or prevented entirely, and highlighting the money saved through internal platform development versus external solutions. Platform work offers excellent growth opportunities for Product Owners, serving as a training ground for product thinking and stakeholder management. The focus should always be on measurable impact rather than technical complexity. Avoiding Common Platform Team Traps "Don't just start working on what you think is important! Start with the Product process, listen to the client-teams, and help them directly." When standing up a platform team, several critical mistakes can derail success. The most important trap to avoid is immediately diving into what the platform team thinks is important without first understanding customer needs. Platform teams should resist delivery pressure that might compromise quality and never mandate adoption of their features—teams should want to use what the platform provides. Treating the platform as a genuine product with quality standards is essential, and leaders should view the creation of a platform team as the beginning of a change management process rather than just a technical reorganization. Resources and Continuous Learning "One size does NOT fit all!" For teams looking to improve their platform work, Alvaro recommends Camille Fournier's work on platform teams and resources focused on "The value of product thinking in platform teams." The key is to get experiments running within your team and recognize that there's no universal solution—each organization must find its own path based on its unique context and needs. About Alvaro Lorente Currently Director of Engineering at Voxel (an Amadeus company), Alvaro is a software engineer who has grown in the people leadership path, experimenting with everything from product development to startups and open source projects. He embraces the idea of being a jack of all trades, helping wherever needed to drive value and impact. You can connect with Alvaro Lorente on LinkedIn and follow his insights through his Substack newsletter titled Leads Horizons.

What exactly is platform engineering, and how does it differ from DevOps?               Insta360 Go Ultra Insta360 have just launched their brand-new pocket camera, the GO Ultra. To get free Sticky Tabs with it go to store.insta360.com and use the promo code “hybridcloud”, available for the first 30 purchases... Read More

Christina Lang's journey from nearly two decades in the military to becoming a DevOps architect shows how discipline, persistence, and a growth mindset can drive career transitions. She shares how the Pybites PDI course helped her rapidly level up her Python skills, the importance of being “humble but hungry” when learning, and how mentorship and structured practice make tackling new challenges achievable. Christina also discusses the unique hurdles veterans face when moving into civilian tech, from cultural adjustments to communication styles, and how their dedication and resilience make them valuable team members once they adapt.Today, Christina applies Python to networking automation, building modules for specific tasks and exploring cloud deployments with OpenTofu, AWS, and Kubernetes. For anyone hesitating to take the next step in Python, Christina encourages: “If you don't feel ready… you probably are. Just pull the trigger, just do it.”Christina's LinkedIn: https://www.linkedin.com/in/christina-lang25Pybites Developer Initialization Program for Veterans: https://pybit.es/veterans/Pybites Podcast 118 - Veterans in the workplace, challenges and tipshttps://www.youtube.com/watch?v=Swg0hj6BPJE ___If you found this podcast helpful, please consider following us!Start Here with Pybites: https://pybit.esDeveloper Mindset Newsletter: https://pybit.es/newsletter

In this episode of Screaming in the Cloud, Corey Quinn talks with Jonathan Schneider, CEO of Moderne and author on Java microservices and automated code remediation. They explore why upgrading legacy systems is so hard, Schneider's journey from Netflix to building large-scale code transformation tools like OpenRewrite, and how major companies like Amazon, IBM, and Microsoft use it.They also discuss AI in software development, cutting through the hype to show where it genuinely helps, and the human and technical challenges of modernization. The conversation offers a practical look at how AI and automation can boost productivity without replacing the need for expert oversight.Show Highlights(2:07) Book Writing and the Pain of Documentation(4:03) Why Software Modernization Is So Hard(6:53) Automating Software Modernization at Netflix(8:07) Culture and Modernization: Netflix vs. Google vs. JP Morgan(10:40) Social Engineering Problems in Software Modernization(13:20) The Geometric Explosion of Software Complexity(17:57) The Foundation for LLMs in Software Modernization(21:16) AI Coding Assistants: Confidence, Fallibility, and Collaboration(22:37) The Python 2 to 3 Migration: Lessons for Modernization(27:56) The Human Element: Responsibility, Skepticism, and the Future of WorkLinksCrying Out Cloud Podcast & Newsletter: https://www.wiz.io/crying-out-cloudModern (Jonathan Schneider's company): https://modern.aiLinkedIn (Jonathan Schneider): https://www.linkedin.com/in/jonathanschneider/

The Building Better Developers with AI podcast continues its season of revisiting past episodes with fresh insights. In this discussion, Rob Broadhead and Michael Meloche revisit the classic topic of breaking through career plateaus and reframe it through the lens of developer career growth. The original episode shared practical strategies for accelerating progress. This version adds AI-driven perspectives, personal stories, and a reminder that developers must be intentional about growth in a rapidly evolving industry. Recognizing Developer Career Growth Roadblocks Career plateaus are rarely obvious. Instead, they surface gradually through symptoms like: Completing tasks on autopilot A lack of new responsibilities or ownership Months without learning a new tool, framework, or design pattern As Rob explains, being “comfortable” often means you're falling behind. In technology, a developer's career growth demands continuous movement forward. If you haven't challenged yourself in six months, your developer career growth may already be stuck. Why Developer Career Growth Plateaus Happen Rob frames the plateau as a “gamer problem”—your XP bar fills, but the level-up screen never appears. Routine work, a lack of internal visibility, or failure to market oneself can all hinder a developer's career growth. Michael emphasizes the importance of self-reflection. Sometimes the issue isn't a lack of opportunity, but a lack of initiative. Are you doing the bare minimum, or seeking challenges that stretch you? He shares how experimenting with signature tablets and webcams—well outside his role—kept him learning and growing. That curiosity didn't move him up in that company, but it paved the way to a higher-paying role elsewhere. Expanding Beyond Code for Developer Career Growth Not all growth is about coding more. Rob points out that developer career growth also comes from: Taking on design and architecture work Mentoring and teaching others Exploring leadership or project ownership Michael reinforces the power of teaching. Sharing knowledge sharpens communication skills, broadens perspective, and strengthens problem-solving abilities. Strategies to Accelerate Developer Career Growth The episode outlines clear steps for reigniting progress: Stretch Projects – Volunteer for cross-team or challenging work. Skill Stacking – Add complementary abilities like UX, DevOps, or CI/CD. Mentorship 2.0 – Learn from mentors, but also mentor others. Visibility Boosts – Blog, present at meetups, or contribute to open source. Side Hustles – Build projects outside work to push yourself into new learning. Side projects are “cheat codes” for developer career growth. Even small shifts—such as switching IDEs or adopting new tools—can help shake off stagnation and sharpen your adaptability. AI's Role in Developer Career Growth Michael warns against ignoring AI. Some developers resist learning it, believing their existing skills will always be in demand. History shows otherwise—just as COBOL programmers saw demand collapse after Y2K, today's developers risk irrelevance by avoiding new technologies. Embracing AI isn't optional anymore. It's the new baseline for sustaining developer career growth. Episode Challenge: Take Charge of Your Developer Career Growth Your challenge this week: Identify one area where your growth has stalled, and take one intentional step forward. Options include: Learning a new framework or tool Volunteering for a stretch assignment Mentoring a junior colleague Starting a side project outside your comfort zone Don't wait for others to create opportunities. Own your developer career growth starting today. Final Thoughts Breaking through plateaus isn't about endless reinvention—it's about steady, intentional growth. Rob and Michael agree: if your current environment doesn't provide chances to grow, then create them—or find a place that will. Developer career growth is not optional. In a fast-moving industry, standing still means falling behind. 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. Please get in touch with us at info@develpreneur.com with any questions, feedback, or suggestions for future episodes. Together, let's continue exploring the exciting world of software development. Additional Resources Essential Habits for Software Developers: Boosting Productivity and Career Growth Pivoting: How to Embrace Change and Fuel Your Professional Growth Are Technology Certifications Necessary For Career Growth? Be Intentional In Choosing Tasks For Career Growth The Developer Journey Videos – With Bonus Content Building Better Developers With AI Podcast Videos – With Bonus Content

This week on Manufacturing Hub, Vlad Romanov and Dave Griffith are joined by Kevin McClusky, Chief Technology Architect at Inductive Automation. Kevin shares his journey from computer engineering into the world of industrial automation, his early experiences as an HMI developer, and his leadership roles at Inductive Automation that shaped the direction of Ignition software.The conversation takes a deep dive into the newly released Ignition 8.3 beta, exploring the core features that matter most for end users, system integrators, and manufacturers. Kevin discusses the new Siemens driver with symbolic addressing, the internal historian powered by QuestDB, the Kafka and Event Streams module, and the new DevOps capabilities with file system storage, Git integration, and automated deployments. These capabilities are set to change how manufacturers design, deploy, and scale automation systems in real-world production environments.We also preview the Ignition Community Conference (ICC), which is moving to a larger venue this year. Kevin outlines new additions such as the Hub, the CoLab, community design challenges, and the continuation of Prove It sessions. The episode also covers the evolution of the Build-On competition, the growing integrator ecosystem, and Inductive Automation's continued focus on empowering its community through transparency and collaboration.This episode provides both a technical and strategic look at where Ignition is heading and why it matters for the future of industrial automation. If you are working on digital transformation, UNS, DevOps for OT, or enterprise-scale SCADA and MES, you will not want to miss this discussion.Timestamps00:00 Introduction and welcome with Dave, Vlad, and Kevin02:00 Kevin's background and entry into industrial software05:00 Lessons from early HMI and integrator experiences07:30 The importance of integrators in Inductive Automation's go-to-market strategy09:00 Transition into sales leadership and learnings from global customers13:00 Ignition 8.3 beta release process and development challenges18:00 Historian improvements and introduction of QuestDB21:00 The new Siemens driver and why it matters globally27:00 Use cases for multiple historians and large-scale data performance31:00 Kafka integration, Event Streams, and IT-OT convergence35:00 DevOps capabilities in Ignition including Git and deployment modes41:00 Preview of the Ignition Community Conference and new venue44:00 The Hub, CoLab, and community-driven sessions at ICC50:00 Prove It sessions and exhibitor highlights56:00 The Build-On competition and its evolution01:01:00 Predicting the future of ICC and Ignition01:03:00 Kevin's career advice for engineers and integrators01:05:00 How listeners can connect with Inductive AutomationReferences Mentioned in the EpisodeInductive Automation: https://inductiveautomation.com/Ignition 8.3 Beta Release Notes: https://inductiveautomation.com/downloads/release-notesQuestDB: https://questdb.io/Opto 22: https://opto22.com/HiveMQ: https://www.hivemq.com/Flow Software: https://flow-software.com/Sepasoft MES: https://sepasoft.com/Soba.ai: https://soba.ai/About the HostsVlad Romanov is an industrial automation consultant, electrical engineer, and founder of Joltek and SolisPLC. With more than a decade of experience in digital transformation and systems integration, Vlad has worked with Fortune 500 manufacturers including Procter and Gamble, Kraft Heinz, and Post Holdings. He is passionate about bridging the gap between IT and OT while helping manufacturers modernize their facilities.Connect with Vlad: https://www.linkedin.com/in/vladromanov/Dave Griffith is a manufacturing consultant and digital transformation strategist who helps organizations navigate technology adoption in automation, data, and operations. With a background in engineering and leadership across multiple industries, Dave focuses on helping manufacturers align technology initiatives with business outcomes.Connect with Dave: https://www.linkedin.com/in/davegriffith/About the GuestKevin McClusky is the Chief Technology Architect at Inductive Automation, where he has played a key role in shaping the growth of Ignition software over more than a decade. Kevin has led professional services, sales engineering, and product strategy, and now focuses on long-term architecture and technology direction for Inductive Automation. He is a frequent speaker at industry events and is deeply involved in guiding the Ignition community.Connect with Kevin: https://www.linkedin.com/in/kevinmcclusky/Manufacturing Hub is a weekly podcast hosted by Vlad Romanov and Dave Griffith, covering digital transformation, automation, data, robotics, and the future of manufacturing. Subscribe to stay ahead in the industry.

DevOps is undergoing a radical transformation, fueled by AI-driven platforms like Bolt, Lovable, Anthropic, OpenAI and others. They are seriously disrupting the market with agentic capabilities that can design, test, and deploy code at lightning speed. While the power of these tools is breathtaking, there are serious risks: quality, security, governance, intellectual property. As enterprises race to harness this power, many find themselves increasingly dependent on third-party ecosystems, trading flexibility for convenience and locking themselves into costly licensing models with a bevy of hidden costs. One alternative? Roll your own with Agentic DevOps! That's the vision of Arun Varadarajan of Ascendion. Register for this this episode of DM Radio to learn how organizations can use AI agents not only to automate workflows and accelerate development, but also to build systems they control, from ideation to production; free from vendor lock-in. Discover how this new approach marries the speed of cutting-edge AI with the strategic advantage of software ownership, opening doors to innovation without the strings attached.

Começamos provocando: mais visibilidade sempre ajuda? Partimos de um caso real para discutir por que dashboards sem ação só empilham problemas. Falamos de ruído de alertas, thresholds mal calibrados e cultura de “ver tudo” que, sem priorização, não move o ponteiro.Na sequência, entramos na parte estratégica: apetite de risco, ownership e quem tem o crachá para dizer “vai” ou “não vai”. Trazemos exemplos contrastando setores (financeiro vs. saúde), impacto no negócio e como isso redefine criticidade, SLAs e o que é “aceitável” em produção.Fechamos com prática de campo: shift left de verdade (não é “rodar o Sonar e pronto”), modelagem de ameaças para começar pelo básico certo (acesso, hardening, atualização), e o papel de Kubernetes na jornada em que o foco volta para o produto — com priorização inteligente, e não caça a balas de prata.Links Importantes:- Caroline Assunção - https://www.linkedin.com/in/caroline-assuncao/- João Brito - https://www.linkedin.com/in/juniorjbn- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflMO 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 unplanned and unfiltered conversation, we dive deep into network automation realities with Ivan Pepelnjak, networking’s long standing and independent voice from ipSpace.net. We explore why automation projects fail, dissect the tooling landscape (Ansible vs. Terraform vs. Python), and discuss the cultural barriers preventing enterprises from modernizing their networks. Ivan delivers hard truths about... Read more »

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

In episode 149 of Cybersecurity Where You Are, Sean Atkinson is joined by Chris McCullar, Director of Sales, Cloud Security, at the Center for Internet Security® (CIS®); and Mishal Makshood, Sr. Cloud Security Account Executive at CIS. Together, they discuss how to navigate human error, artificial intelligence (AI) missteps, and other landmarks in a new frontier of virtual machine (VM) risks. Here are some highlights from our episode:00:50. Introductions with Chris and Mishal02:20. The ongoing need to address the risk of human error when configuring VMs04:55. The value of building trusted security into a VM image by design07:28. A reality check of what the shared responsibility model means to an organization13:06. How the integration of AI into DevOps accelerates both automation and mistakes15:21. The importance of a secure foundation in the cloud on which you can build with AI18:19. Automated enforcement and AI's role in complementing human judgment21:03. Two examples how CIS resources can drive governance and policy integration28:05. Cybersecurity as a community-driven team sport30:33. Lifecycle management as a way of addressing organizations' security needsResourcesKeep the Cloud Secure with CIS after Migrating to the CloudAutomated Compliance: The Byproduct of Holistic HardeningMeet the Shared Responsibility Model with New CIS ResourcesEpisode 135: Five Lightning Chats at RSAC Conference 20252025 Data Breach Investigations ReportIf you have some feedback or an idea for an upcoming episode of Cybersecurity Where You Are, let us know by emailing podcast@cisecurity.org.

Bret discusses exciting news about Swarm being maintained until 2030.

In this episode of the TestGuild DevOps Toolchain Podcast, Joe Colantonio sits down with Matt DeBergalis, CEO of Apollo GraphQL, to explore how GraphQL is transforming the way teams build, ship, and scale applications. Matt shares his journey from open-source pioneer to leading one of the most widely adopted GraphQL platforms in the world—and why GraphQL is more relevant than ever in the age of AI, microservices, and agent-based applications. You'll discover: How GraphQL eliminates over-fetching, reduces technical debt, and accelerates feature delivery Why it's a natural fit for AI agents and future-ready architectures How it improves testing, observability, and security without forcing a backend rewrite Lessons from large-scale GraphQL implementations that every DevOps, QA, and platform engineering team should know Whether you're a developer, tester, or engineering leader, this conversation will give you practical insights to help you build faster, smarter, and with confidence. Try out SmartBear's Bugsnag for free, today. No credit card required: https://testguild.me/bugsnagfree

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

The single biggest predictor of success with AI isn't the model you choose, it's the DevOps culture you've already built. Martin Woodward, VP of Developer Relations at GitHub - and the sixth person to ever use Copilot - joins us to explain why this surprising insight is key to the new era of autonomous coding agents. He traces the evolution of GitHub Copilot from a simple autocomplete to a powerful agent that opens its own pull requests, arguing that AI's true power is as a massive accelerant for the iterative loops high-performing teams have already perfected.Martin explains that teams with strong guardrails for shipping quickly and safely are best equipped to leverage this AI revolution because they can trust the accelerated output. He also reveals how top teams use the key technique of custom instructions to guide Copilot toward writing the code of the future, not just mimicking the code of the past. This conversation uncovers how new agentic workflows are 'tricking' developers into improving their communication and documentation skills, providing a crucial look at the cultural foundations required to thrive in the AI-accelerated enterprise.Check out:AI code review tools: 2025 evaluation guideFollow the hosts:Follow BenFollow AndrewFollow today's guest(s):Martin's GitHub Galaxy Keynote: Watch "The AI-Accelerated Enterprise”GitHub Copilot:  Learn more about the tools and featuresGitHub Universe Conference: Look out for announcements for the upcoming conferenceConnect with Martin:  Martin's Social Media Hub (Martin.Social)Connect with Erika on LinkedIn Referenced in today's show:GPT-5: Overdue, overhyped and underwhelming. And that's not the worst of it.Auf Wiedersehen, GitHub ♥️I Tried Every Todo App and Ended Up With a .txt File[BUG] Claude says "You're absolutely right!" about everything · Issue #3382 Why MCP's Disregard for 40 Years of RPC Best Practices Will Burn EnterprisesSupport the show: Subscribe to our Substack Leave us a review Subscribe on YouTube Follow us on Twitter or LinkedIn Offers: Learn about Continuous Merge with gitStream Get your DORA Metrics free forever

Hoje o papo é sobre DevOps! Neste episódio, mergulhamos em como o Santander F1rst lida com algo tão complexo e tão essencial, desde o fluxo do dia a dia, até os desafios de entender as melhores aplicações de cada nova ferramenta de IA. Vem ver quem participou desse papo: André David, o host que não está querendo puxar a sardinha para o back-end Yago Oliveira, Coordenador de Conteúdo Técnico na Alura Fabiano Carneiro, IT Manager no Santander F1rst Leandro Matinez, Arquiteto de TI no Santander F1rst

Datacenter oder Besenkammer? Die IT im deutschen MittelstandViele Entwickler:innen und Techies leben in der Cloud-Native-Bubble – doch sieht die Realität des deutschen Mittelstands wirklich so modern aus? Die Antwort: eher selten. In dieser Episode sprechen wir mit Patrick Terlisten, Technik-Geschäftsführer eines klassischen IT-Systemhauses aus Köln. Es geht direkt in die Besenkammer des Mittelstands – dorthin, wo das Rechenzentrum oftmals noch ein Abstellraum und Cloud nur ein Modewort ist.Gemeinsam mit Patrick werfen wir einen ehrlichen Blick auf IT-Infrastruktur abseits von Start-ups: Wie sieht der Alltag zwischen Virtualisierung, Lizenzmodellen und Patchmanagement aus? Welche Rolle spielen „Shadow IT" und Software, für die es längst kein Dev-Team mehr gibt? Und wie kommt der Mittelstand, vom Sozialträger bis zum Maschinenbauer, eigentlich mit Themen wie Cloud, Open Source oder Security klar?Wir diskutieren, warum die Realität oft ganz anders ist als das Hochglanz-Image auf Tech-Konferenzen: Von Kabelsalat über Lizenzen im Abo-Wahnsinn bis hin zu der Frage, wie viel Handwerk tatsächlich noch in IT steckt – und warum klassische Systemhäuser heute genauso mit Entwickler:innen & DevOps zu tun bekommen wie die hippe Startup-Welt. Patrick gibt dabei nicht nur Einblicke in seinen Systemhaus-Alltag, sondern erzählt auch wie sich das IT-Handwerk in Zeiten von Cloud und Hyperscalern verändert.Bonus: IT-Handwerk ist Kabelziehen und Zunft – und Cable Porn bleibt eine Kunst für sich.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

Episode Summary:AWS Morning Brief for the week of August 18th, 2025, with Corey Quinn. Links: Firefly's 2025 IaC Best Practices Guidea billion dollars in savings highlights why I'm wrongDemystifying Amazon Bedrock Pricing for a Chatbot AssistantImproving Your Visibility to AWS Sales: A Practical Guide for PartnersAnthropic's Claude Sonnet 4 in Amazon Bedrock Expanded Context WindowAmazon EC2 Single GPU P5 instances are now generally available Announcing Extended Support for Amazon DocumentDB (with MongoDB compatibility) version 3.6CVE-2025-8904 - Issue with Amazon EMR Secret Agent componentAmazon DynamoDB now supports more frequent throughput mode updates from provisioned to on-demand capacity Validate radiology reports using Amazon NovaAmazon FSx for OpenZFS now supports Internet Protocol Version 6 (IPv6)AWS Resource Explorer now Supports Filtering for Multiple ValuesAWS IAM Identity Center introduces support for user background sessions with Amazon SageMaker Studio Amazon FSx for NetApp ONTAP now supports decreasing your SSD storage capacity AWS Security Incident Response now supports membership coverage for individual AWS organizational unitsUnderstanding AWS Savings Plan Recommendations: Payer vs. Linked Account Views 

Jyoti Bansal sold his first company, AppDynamics, to Cisco for $3.7 billion. Harness, his next company, reached a similar valuation a few years later. As an entrepreneur — and as a VC at Unusual Ventures — Jyoti has built and backed multiple billion-dollar startups. But despite his track record, he says technical founders often overlook the same hard truth: good ideas don't build great companies. It's all about execution. In this conversation, Jyoti explains how he helps engineers become CEOs, the leadership frameworks he uses to scale fast without breaking culture, and why each business unit inside Harness runs like a startup of its own. He also talks about what he had to unlearn as he made the leap from founder to investor, and debunks the myth that every entrepreneur needs a mentor. If you're aiming for breakout scale, this episode will give you some useful tactics — and maybe a few reality checks. RUNTIME 44:24 EPISODE BREAKDOWN (3:23) “ I started Big Labs and I call it a startup studio: it's really my lab, a research lab for me to experiment with ideas and projects that I'm excited about.” (6:15) Why Jyoti still carves out time for customer discovery and sales calls. (7:27) “ Harness is designed for kind of this next-generation, AI-based approach for DevOps.” (9:42) “ Our entire philosophy is built with this concept called ‘startups within a startup.'” (11:22) How Harness maintains cohesion and alignment across 16 different modules. (14:00) The specific traits and abilities Jyoti looks for when hiring leaders at Harness. (17:35) Why some engineers are poorly suited to make the leap into entrepreneurship. (20:55) A mental framework that helped Jyoti become a better manager and communicator. (23:59) “ I always leaned on topic-based mentorship, not generic mentorship, which is a particular problem.” (25:53) Why working with a CEO coach “didn't work very well for me.” (27:36) The sectors and types of startups that interest him the most right now. (30:10) How he prefers to be pitched — and how to apply to Unusual Academy's next cohort. (32:24) “ 30, 40% growth rates are where most startups should be looking, at least — ideally much more.” (33:53) “ If we can't see a path to $100M of revenue — or a billion of revenue — we don't invest.” (37:15) The biggest attachment he had to let go of when transitioning from founder to VC. (42:41) The one question he'd ask the CEO if he were interviewing for a job with an early-stage startup. LINKS Jyoti Bansal Harness Traceable Unusual Ventures Unusual Academy Unusual Field Guide Cisco Announces Intent to Acquire Application Performance Monitoring Leader AppDynamics, 1/24/2017 SUBSCRIBE

What does it take to build intelligent systems that are not only AI-powered but also secure, scalable, and grounded in real-world needs? In this episode of Tech Talks Daily, I speak with Srinivas Chippagiri, a senior technology leader and author of Building Intelligent Systems with AI and Cloud Technologies. With over a decade of experience spanning Wipro, GE Healthcare, Siemens, and now Tableau at Salesforce, Srinivas offers a practical view into how AI and cloud infrastructure are evolving together. We explore how AI is changing cloud-native development through predictive maintenance, automated DevOps pipelines, and developer co-pilots. But this is not just about technology. Srinivas highlights why responsible AI needs to be part of every system design, sharing examples from his own research into anomaly detection, fuzzy logic, and explainable models that support trust in regulated industries. The conversation also covers the rise of hybrid and edge computing, the real challenges of data fragmentation and compute costs, and how teams are adapting with new skills like prompt engineering and model observability. Srinivas gives a thoughtful view on what ethical AI deployment looks like in practice, from bias audits to AI governance boards. For those looking to break into this space, his advice is refreshingly clear. Start with small, end-to-end projects. Learn by doing. Contribute to open-source communities. And stay curious. Whether you're scaling AI systems, building a career in cloud tech, or just trying to keep pace with fast-moving trends, this episode offers a grounded and insightful guide to where things are heading next. Srinivas's book is available on Amazon under Building Intelligent Systems with AI and Cloud Technologies, and you can connect with him on LinkedIn to continue the conversation.

At Black Hat 2025, Sean Martin sits down with Ofir Stein, CTO and Co-Founder of Apono, to discuss the pressing challenges of identity and access management in today's hybrid, AI-driven environments. Stein's background in technology infrastructure and DevOps, paired with his co-founder's deep cybersecurity expertise, positions the company to address one of the most common yet critical problems in enterprise security: how to secure permissions without slowing the pace of business.Organizations often face a tug-of-war between security teams seeking to minimize risk and engineering or business units pushing for rapid access to systems. Stein explains that traditional approaches to access control — where permissions are either always on or granted through manual processes — create friction and risk. Over-provisioned accounts become prime targets for attackers, while delayed access slows innovation.Apono addresses this through a Zero Standing Privilege approach, where no user — human or non-human — retains permanent permissions. Instead, access is dynamically granted based on business context and automatically revoked when no longer needed. This ensures engineers and systems get the right access at the right time, without exposing unnecessary attack surfaces.The platform integrates seamlessly with existing identity providers, governance systems, and IT workflows, allowing organizations to centralize visibility and control without replacing existing tools. Dynamic, context-based policies replace static rules, enabling access that adapts to changing conditions, including the unpredictable needs of AI agents and automated workflows.Stein also highlights continuous discovery and anomaly detection capabilities, enabling organizations to see and act on changes in privilege usage in real time. By coupling visibility with automated policy enforcement, organizations can not only identify over-privileged accounts but also remediate them immediately — avoiding the cycle of one-off audits followed by privilege creep.The result is a solution that scales with modern enterprise needs, reduces risk, and empowers both security teams and end users. As Stein notes, giving engineers control over their own access — including the ability to revoke it — fosters a culture of shared responsibility for security, rather than one of gatekeeping.Learn more about Apono: https://itspm.ag/apono-1034Note: This story contains promotional content. Learn more.Guest:Ofir Stein, CTO and Co-Founder of Apono | On LinkedIn: https://www.linkedin.com/in/ofir-stein/ResourcesLearn more and catch more stories from Apono: https://www.itspmagazine.com/directory/aponoLearn more about ITSPmagazine Brand Story Podcasts: https://www.itspmagazine.com/purchase-programsNewsletter Archive: https://www.linkedin.com/newsletters/tune-into-the-latest-podcasts-7109347022809309184/Business Newsletter Signup: https://www.itspmagazine.com/itspmagazine-business-updates-sign-upAre you interested in telling your story?https://www.itspmagazine.com/telling-your-storyKeywords: sean martin, ofir stein, apono, zero standing privilege, access management, identity security, privilege creep, just in time access, ai security, governance, cloud security, black hat, black hat usa 2025, cybersecurity, permissions

In this week's episode ofThe New Stack Agents, Scott Carey, editor-in-chief of LeadDev, discussed their first AI Impact Report, which explores how engineering teams are adopting AI tools. The report shows that two-thirds of developers are actively using AI, with another 20% in pilot stages and only 2% having no plans to use AI — a group Carey finds particularly intriguing. Popular tools include Cursor (43%) and GitHub Copilot (37%), with others like OpenAI, Gemini, and Claude following, while Amazon Q and Replit lag behind.Most developers use AI for code generation, documentation, and research, but usage for DevOps tasks like testing, deployment, and IT automation remains low. Carey finds this underutilization frustrating, given AI's potential impact in these areas. The report also highlights concern for junior developers, with 54% of respondents expecting fewer future hires at that level. While many believe AI boosts productivity, some remain unsure — a sign that organizations still struggle to measure developer performance effectively.Learn more from The New Stack about the latest insights about the AI tool adoption: AI Adoption: Why Businesses Struggle to Move from Development to Production3 Strategies for Speeding Up AI Adoption Among DevelopersAI Everywhere: Overcoming Barriers to AdoptionJoin our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Send us a textAI in Pathology: ML-Ops and the Future of DiagnosticsWhat if the most advanced AI models we're building today are doomed to die in the machine learning graveyard?

Ethan and Holly bring you the last installment of the OSPF series discussing OSPF area types. They discuss why OSPF areas exist, do a quick recap of what OSPF areas actually are, and then introduce the different types of OSPF areas.  Lastly, see if you can answer Ethan’s rapid-fire OSPF questions. Episode Transcript: This episode... Read more »

In this episode of Elixir Wizards, host Sundi Myint chats with SmartLogic engineers and fellow Wizards Dan Ivovich and Charles Suggs about the practical tooling that surrounds Elixir in a consultancy setting. We dig into how standardized dev environments, sensible scaffolding, and clear observability help teams ship quickly across many client projects without turning every app into a snowflake. Join us for a grounded tour of what's working for us today (and what we've retired), plus how we evaluate new tech (including AI) through a pragmatic, Elixir-first lens. Key topics discussed in this episode: Standardizing across projects: why consistent environments matter in consultancy work Nix (and flakes) for reproducible dev setups and faster onboarding Igniter to scaffold common patterns (auth, config, workflows) without boilerplate drift Deployment approaches: OTP releases, runtime config, and Ansible playbooks Frontend pipeline evolution: from Brunch/Webpack to esbuild + Tailwind Observability in practice: Prometheus metrics and Grafana dashboards Handling time-series and sensor data When Explorer can be the database Picking the right tool: Elixir where it shines, integrations where it counts Using AI with intention: code exploration, prototypes, and guardrails for IP/security Keeping quality high across multiple codebases: tests, telemetry, and sensible conventions Reducing context-switching costs with shared patterns and playbooks Links mentioned: http://smartlogic.io https://nix.dev/ https://github.com/ash-project/igniter Elixir Wizards S13E01 Igniter with Zach Daniel https://youtu.be/WM9iQlQSFg https://github.com/elixir-explorer/explorer Elixir Wizards S14E09 Explorer with Chris Grainger https://youtu.be/OqJDsCF0El0 Elixir Wizards S14E08 Nix with Norbert (Nobbz) Melzer https://youtu.be/yymUcgy4OAk https://jqlang.org/ https://github.com/BurntSushi/ripgrep https://github.com/resources/articles/devops/ci-cd https://prometheus.io/ https://capistranorb.com/ https://ansible.com/  https://hexdocs.pm/phoenix/releases.html https://brunch.io/ https://webpack.js.org/loaders/css-loader/ https://tailwindcss.com/ https://sass-lang.com/dart-sass/ https://grafana.com/ https://pragprog.com/titles/passweather/build-a-weather-station-with-elixir-and-nerves/ https://www.datadoghq.com/ https://sqlite.org/ Elixir Wizards S14E06 SDUI at Cars.com with Zack Kayser https://youtu.be/nloRcgngTk https://github.com/features/copilot https://openai.com/codex/ https://www.anthropic.com/claude-code YouTube Video: Vibe Coding TEDCO's RFP https://youtu.be/i1ncgXZJHZs Blog: https://smartlogic.io/blog/how-i-used-ai-to-vibe-code-a-website-called-for-in-tedco-rfp/ Blog: https://smartlogic.io/blog/from-vibe-to-viable-turning-ai-built-prototypes-into-market-ready-mvps/ https://www.thriftbooks.com/w/eragon-by-christopher-paolini/246801 https://tidewave.ai/ !! We Want to Hear Your Thoughts *!!* Have questions, comments, or topics you'd like us to discuss in our season recap episode? Share your thoughts with us here: https://forms.gle/Vm7mcYRFDgsqqpDC9

Developers Rizel Scarlett and Ian Douglas join Ned and Kyler to talk about building an AI agent. Rizel and Ian work at Block, where they’re part of a team building an agent called Goose. They talk about what the agent does, building challenges, observability, and more. They also dive into topics such as how using AI... Read more »

Developers Rizel Scarlett and Ian Douglas join Ned and Kyler to talk about building an AI agent. Rizel and Ian work at Block, where they’re part of a team building an agent called Goose. They talk about what the agent does, building challenges, observability, and more. They also dive into topics such as how using AI... Read more »

In this episode of the TestGuild DevOps Toolchain Podcast, host Joe Colantonio sits down with Jennifer Rahmani, Co-founder and COO of Thoras.ai, a company redefining how infrastructure scales with AI-driven predictive technology. Drawing from her years as a DevOps engineer in the defense tech sector, Jennifer shares how she and her twin sister turned real-world frustrations into a reliability-first platform that eliminates the guesswork from scaling. We discuss how Thoras.ai integrates with Kubernetes to predict workload demand minutes—or even hours—in advance, allowing teams to maintain high availability without overspending. Jennifer explains why they use the right AI for the right use case, how their predictive autoscaling works in multi-cloud and hybrid environments, and how it helps SREs avoid downtime during unpredictable events like Black Friday or major product launches. Whether you're dealing with noisy data, high cloud bills, or sleepless nights worrying about reliability, this episode delivers practical insights for making smarter scaling decisions.

Developers Rizel Scarlett and Ian Douglas join Ned and Kyler to talk about building an AI agent. Rizel and Ian work at Block, where they’re part of a team building an agent called Goose. They talk about what the agent does, building challenges, observability, and more. They also dive into topics such as how using AI... Read more »

Bret and Nirmal are joined by Michael Irwin to discuss Docker's comprehensive AI toolkit, covering everything from local model deployment to cloud-based container orchestration across multiple interconnected tools and services.

Kohsuke Kawaguchi is a prominent software engineer, best known as the creator of Jenkins, an open-source automation server that is widely used for continuous integration and continuous delivery (CI/CD). He is currently the Co-Head of AI at leading DevOps provider, CloudBees and the former Co-CEO of Launchable, an AI platform that speeds up testing to help teams expedite their continuous integration (CI) and delivery pipelines, which was acquired by CloudBees in 2024.Kawaguchi developed Jenkins as a side project when working at Sun Microsystems in 2011. Since then, it has become an essential tool for developers and DevOps professionals around the world helping teams automate parts of software development, testing, and deployment.In addition to his work on Jenkins, Kawaguchi has contributed to the broader open-source community and has worked with various technologies related to software development, automation, and cloud computing. He is also known for his contributions to the world of Java and DevOps.You can find Kohsuke on the following sites:WebsiteXLinkedInGitHubHere are some links provided by Kohsuke:CloudBeesPLEASE SUBSCRIBE TO THE PODCASTSpotifyApple PodcastsYouTube MusicAmazon MusicRSS FeedYou can check out more episodes of Coffee and Open Source on https://www.coffeeandopensource.comCoffee and Open Source is hosted by Isaac Levin

Episode Summary:AWS Morning Brief for the week of August 11th, 2025, with Corey Quinn.Links: AWS Cloud Visibility Best PracticesThis Ars articleAWS European Sovereign Cloud to be operated by EU citizensAmazon killing a user's accountMountpoint for Amazon S3 CSI driver v2: Accelerated performance and improved resource usage for Kubernetes workloadsStreamlining outbound emails with Amazon SES Mail ManagerAWS Lambda now supports GitHub Actions to simplify function deploymentAnthropic's Claude Opus 4.1 now in Amazon BedrockAmazon CloudWatch introduces organization-wide VPC flow logs enablementUnderstanding and Remediating Cold Starts: An AWS Lambda PerspectiveAmazon SQS increases maximum message payload size to 1 MiBOpenAI open weight models now available on AWS Best practices for analyzing AWS Config recording frequenciesAmazon EKS adds safety control to prevent accidental cluster deletionAWS Console Mobile App now offers access to AWS SupportAmazon EC2 now supports force terminate for EC2 instances Amazon DynamoDB adds support for Console-to-CodeUsing generative AI for building AWS networksSimplify network connectivity using Tailscale with Amazon EKS Hybrid NodesCost tracking multi-tenant model inference on Amazon Bedrock

In this high-energy episode, returning guests Gilbert Sanchez and Jake Hildreth join Andrew for a deep dive into: Module templating with PSStucco Building for accessibility in PowerShell Creating open source GitHub orgs like PSInclusive How PowerShell can lead to learning modern dev workflows like GitHub Actions and CI/CD What begins with a conversation about a live demo gone hilariously sideways turns into an insightful exploration of how PowerShell acts as a launchpad into bigger ecosystems like GitHub, YAML, JSON, and continuous integration pipelines.Bios &   Bios: Gilbert Sanchez is a Staff Software Development Engineer at Tesla, specifically working on PowerShell. Formerly known as "Señor Systems Engineer" at Meta. A loud advocate for DEI, DevEx, DevOps, and TDD.   Jake Hildreth is a Principal Security Consultant at Semperis, Microsoft MVP, and longtime builder of tools that make identity security suck a little less. With nearly 25 years in IT (and the battle scars to prove it), he specializes in helping orgs secure Active Directory and survive the baroque disaster that is Active Directory Certificate Services. He's the creator of Locksmith, BlueTuxedo, and PowerPUG!, open-source tools built to make life easier for overworked identity admins. When he's not untangling Kerberos or wrangling DNS, he's usually hanging out with his favorite people and most grounding reality check: his wife and daughter.   Links https://gilbertsanchez.com/posts/stucco-create-powershell-module/ https://jakehildreth.github.io/blog/2025/07/02/PowerShell-Module-Scaffolding-with-PSStucco.html https://github.com/PSInclusive https://jakehildreth.com/ https://andrewpla.tech/links https://discord.gg/pdq https://pdq.com/podcast https://youtu.be/w-z2-0ii96Y  

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

In this episode of The Friday Habit, Mark chats with Benjamin Johnson, serial tech co-founder and founder of Particle 41. With over two decades in software development, DevOps, and startup building, Ben shares hard-earned lessons on what it really takes to lead successful tech initiatives—from bootstrapping SaaS platforms to advising CEOs on digital strategy.They dig into the evolution of AI, the risk of overengineering, and how founders can use time-tested principles like quarterly planning, intentionality, and simplicity to build smarter—not harder. Plus, Ben explains how he turned 1,000+ unread LinkedIn messages into 10 real leads in 30 minutes using AI.If you're an entrepreneur, CTO, or creative leader navigating the tech landscape, this episode will challenge you to rethink complexity, lead with clarity, and focus on what truly matters.

The discussion with CEO Akshay Agrawal covers how Marimo's AI integration provides runtime context to LLMs for superior code generation, its adoption across industries from cybersecurity to DevOps, and the technical innovations that make notebooks viable for production environments.Subscribe to the Gradient Flow Newsletter

On this episode of Screaming in the Cloud, Corey Quinn talks with Simon Willison, founder of Datasette and creator of LLM CLI about AI's realities versus the hype. They dive into Simon's “lethal trifecta” of AI security risks, his prediction of a major breach within six months, and real-world use cases of his open source tools, from investigative journalism to OSINT sleuthing. Simon shares grounded insights on coding with AI, the real environmental impact, AGI skepticism, and why human expertise still matters. A candid, hype-free take from someone who truly knows the space.Highlights: 00:00 Introduction and Security Concerns02:32 Conversations and Kindness04:56 Niche Museums and Collecting06:52 Blogging as a Superpower08:01 Challenges of Writing and AI15:08 Unique Use Cases of Dataset19:33 The Evolution of Open Source21:09 Security Vulnerabilities in AI32:18 Future of AI and AGI Concerns37:10 Learning Programming with AI39:12 Vibe Coding and Its Risks41:49 Environmental Impact of AI46:34 AI in Legal and Creative Fields54:20 Voice AI and Ethical Concerns01:00:07 Monetizing Content CreativelyLinks: Simon Willison's BlogDatasette ProjectLLM command-line tool and Python libraryNiche MuseumsGitHub MCP prompt injection exampleHighlights from the Claude 4 system promptAI energy usage tagAI assisted search-based research actually works nowPOSSE: Publish on your own site, syndicate elsewhereBellingcatLawyer cites fake cases invented by ChatGPT, judge is not amused (May 2023)AI hallucination cases databaseSponsor Simon to get his monthly summary newsletterhttps://simonwillison.net/https://www.linkedin.com/in/simonwillisonhttps://datasette.io/

Today we explore how to build sustainable tech companies with Brian Pontarelli, Founder of FusionAuth. Brian shares his path from early programming on an Apple IIe to creating innovative solutions in the complex world of customer identity and access management (CIAM). Brian argues that single-tenancy and local development capabilities are crucial for developers. He also... Read more »