Podcasts about DevOps

I invited Egil Østhus to unpack a simple idea that tends to get lost in release day pressure. DevOps gets code to production quickly, but users experience features, not pipelines. Egil is the founder of Unleash, an open source feature management platform with close to 30 million downloads, and he argues that the next step is FeatureOps. It is a mindset and a set of practices that separate deployment from release, so teams can place code in production, light it up for a small cohort, learn, and only then scale out with confidence. Here is the thing. Controlled rollouts, clear telemetry, and fast rollback reduce risk without slowing teams down. Egil explains how FeatureOps connects engineering effort to business outcomes through gradual exposure, full stack experimentation, and what he calls surgical rollback. Instead of ripping out an entire release when one part misbehaves, teams can disable the offending capability and keep the rest of the value in place. It sounds straightforward because it is, and that is the point. Less drama, more learning, better results. We also talk about culture. When releases repeatedly disappoint, trust between product and engineering frays. Egil shares examples where Unleash helped a hardware and software company move from blame to shared ownership by making rollout plans visible and collaborative. Another client, an ERP vendor, discovered that early feedback from a small group of users allowed them to ship a leaner version that met the need without months of extra scope. That is how FeatureOps saves money and tempers expectations while still delighting customers. AI enters the story too. Code is shipping faster, but reliability can wobble when autogenerated changes move through pipelines. Egil sees feature management as a practical control plane for this new reality. Feature flags provide a real time safety net and, if needed, a kill switch for AI powered functionality. Teams can keep experimenting while protecting users and brand equity. If you want to move beyond release day roulette, this episode offers a practical playbook. We cover privacy first design, open source flexibility, and why metadata from FeatureOps will help leaders study how their organizations truly build. To learn more, visit getunleash.io or search for Unleash in your favorite tool, then tell me how you plan to measure your next rollout's impact. ********* Visit the Sponsor of Tech Talks Network: Land your first job  in tech in 6 months as a Software QA Engineering Bootcamp with Careerist https://crst.co/OGCLA      

We got some interesting listener feedback from our series on OSPF, so today’s N Is for Networking is another “Well actually” episode where we dig into that feedback. In particular, we’ll cover a defense of OSPF multi-area deployments, and dig into OSPF LSA types. Episode Links: N4N032 – OSPF Basics – Packet Pushers Episode Transcript:... Read more »

Kubernetes is flexible and customizable, but it can also be notoriously complex and difficult to deploy to. On today’s Day Two DevOps we learn about kro (Kube Resource Operator), an open-source tool that helps simplify complex application deployments. Our guest is Islam Mahgoub, a Solutions Architect at AWS focused on building kro. We talk about... Read more »

Kubernetes is flexible and customizable, but it can also be notoriously complex and difficult to deploy to. On today’s Day Two DevOps we learn about kro (Kube Resource Operator), an open-source tool that helps simplify complex application deployments. Our guest is Islam Mahgoub, a Solutions Architect at AWS focused on building kro. We talk about... Read more »

Hoje o papo é sobre o Santander F1rst! Neste episódio, mergulhamos novamente em como o Santander investe nos próprios talentos, para crescer de dentro para fora, enquanto encontra as melhores formas de absorver as ferramentas e tecnologias que ajudam a crescer de fora para dentro. Vem ver quem participou desse papo: André David, o host de um grupo de ansiosos Paulo Silveira, CVO do grupo Alun Richard Silva, CIO do Banco Santander e CEO do Santander F1rst Monica Conciani, Learning & Development Tech Manager no Santander F1rst

In this compelling episode of SADA's Cloud and Clear podcast, we go "Beyond the Benchmark" with Joseph Menti, Senior Director of DevOps, Security, and IT Operations at DroneDeploy. Join host John Giglio, SADA's Director of Cloud Security, as we explore DroneDeploy's sophisticated and proactive approach to cloud security. DroneDeploy is a leader in reality capture, providing "superpowers" to industries like construction, agriculture, and solar with accurate mapping and analysis. Discover the unique security challenges of handling vast amounts of sensitive imagery and 3D model data. Joseph shares how DroneDeploy navigated their transition from co-located data centers to a predominantly Google Cloud Platform (GCP) environment, highlighting the immense capabilities of cloud tools for physical data security, access management, anomaly detection, and more. Learn about DroneDeploy's philosophy of "punching above their weight" – maximizing a small team's effectiveness through strategic technology adoption, like Security Command Center for asset inventory, and implementing Infrastructure as Code. The discussion also emphasizes the critical value of third-party security assessments, which provide unbiased validation, identify "unknown unknowns," and help prioritize the security roadmap. Joseph explains how a strong security program acts as a powerful business enabler, building customer trust and helping to secure deals. Finally, get insights into emerging threats, including the impact of AI on cyberattacks, and why user awareness training remains the highest ROI security measure. Key Takeaways: Cloud-Native Security Strategies: Harnessing GCP tools for automated security and efficient operations. Maximizing Resources: How to achieve robust security with a lean team through smart automation and strategic tools. The Power of External Validation: Why third-party security assessments are crucial for a world-class security framework. Security as a Business Enabler: Transforming security from a cost center into a competitive advantage. Battling Emerging Threats: Understanding AI's role in cyberattacks and the paramount importance of continuous security awareness training. Tune in to gain practical advice and inspiration for your cloud transformation journey! Connect with SADA & DroneDeploy: Learn more about SADA: https://sada.com/cloud-and-clear/  Explore DroneDeploy: https://www.dronedeploy.com/  Check out the DroneDeploy Horizons event in October: https://www.dronedeploy.com/horizons Read our DroneDeploy case study: https://sada.com/customer-story/dronedeploy-goes-the-extra-mile-for-enterprise-grade-security-with-google-cloud-and-sada  Subscribe to Cloud and Clear:

Trust at Scale: Security and Governance for Open Source Models // MLOps Podcast #338 with Hudson Buzby, Solutions Architect at JFrog.Appreciate JFrog for their support in bringing this blog to life.Join the Community: https://go.mlops.community/YTJoinInGet the newsletter: https://go.mlops.community/YTNewsletter// AbstractFor better or for worse, machine learning has traditionally escaped the gaze of security and infrastructure teams, operating outside traditional DevOps practices and not always adhering to organizations development or security standards. With the introduction of open source catalogs like HuggingFace and Ollama, a new standard has been established for locating, identifying, and deploying machine learning and AI models. But with this new standard comes a plethora of security, governance, and legal challenges that organizations need to address before they can comfortably allow developers to freely build and deploy ML/AI applications. In this conversation will discuss ways that enterprise scale organizations are addressing these challenges to safely and securely build these development environments. // BioHudson Buzby is a solution engineer with an emphasis on MLOps, LLMOps, Big Data, and Distributed Systems, leveraging his expertise to help organizations optimize their machine learning operations and large language model deployments. His role involves providing technical solutions and guidance to enhance the efficiency and effectiveness of AI-driven projects.// Related Linkshttps://www.youtube.com/channel/UCh2hNg76zo3d1qQqTWIQxDg~~~~~~~~ ✌️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 Hudson on LinkedIn: /hudson-buzby/

¿Es la INTELIGENCIA ARTIFICIAL el fin de los desarrolladores o una oportunidad sin precedentes? En el episodio de hoy converso con Emilio Salvador, vicepresidente de relaciones con los desarrolladores en GitLab y ex de Google, Amazon y Microsoft, además de miembro del consejo de la Linux Foundation. Con más de 20 años en la primera línea de la revolución tecnológica, Emilio desmitifica las ganancias de productividad reales con IA, al menos en proyectos grandes y maduros, que te harán cuestionar lo que creías saber. Descubre por qué muchos desarrolladores se sienten más productivos, ¡pero los números dicen lo contrario!Exploraremos cómo la IA está DEMOCRATIZANDO el software y transformando el rol del desarrollador: desde el auge de Visual Basic en los 90 hasta el futuro en 2030. ¿Qué ERRORES están cometiendo las empresas al integrar IA? ¿Y qué HABILIDADES CLAVE necesitas para PROSPERAR en esta nueva era?.Desde la perspectiva de GitLab, líderes en la gestión del ciclo de vida del desarrollo de software, Emilio comparte insights sobre cómo plataformas como GitLab Duo están redefiniendo la programación y el DevOps.Prepárate para entender cómo el trabajo de desarrollador está cambiando y cómo puedes mantenerte relevante.

AWS Morning Brief for the week of September 8th, with Corey Quinn. Links:Amazon disrupts watering hole campaign by Russia's APT29AWS IAM launches new VPC endpoint condition keys for network perimeter controlsRDS Data API now supports IPv6Now Open — AWS Asia Pacific (New Zealand) RegionAWS Resource Explorer is now available in AWS Asia Pacific (Taipei) RegionProtect your Amazon Route 53 DNS zones and records Efficiently verify Amazon S3 data at scale with compute checksum operationAWS Elemental celebrates 10 years of innovationChoosing the right AWS live streaming solution for your use case

Microsoft MVP Emanuel Palm joins The PowerShell Podcast to share his journey from managing printers in Sweden to being a Microsoft MVP who is automating the cloud with PowerShell and Azure. He talks about building the AZAuth module for OAuth authentication, using GitHub Actions for CI/CD, and the importance of blogging and community involvement. Plus, Emanuel reveals his unique side hobby... roasting coffee!   Key Takeaways From printers to the cloud: Emanuel's career shows how PowerShell can open doors, from automating IT tasks to driving cloud automation and DevOps practices. Community and sharing matter: Blogging, presenting, and contributing help you grow your own understanding while creating opportunities for others. Automation and authentication: With tools like GitHub Actions and his AZAuth module, Emanuel demonstrates how to simplify workflows and securely interact with APIs. Guest Bio Emanuel Palm is a Microsoft MVP based in Sweden, where he is a consultant focused on Microsoft technologies and is active in the PowerShell community. Emanuel is the creator of the AZAuth module, a lightweight solution for handling OAuth authentication in PowerShell, and a frequent speaker at events like PowerShell Conference Europe. Beyond tech, Emanuel is a coffee enthusiast who even roasts his own beans as a side hobby.   Resource Links Emanuel's Blog: https://pipe.how GitHub – Emanuel Palm: https://github.com/palmemanuel X / BlueSky: @palmemanuel AZAuth Module on GitHub: https://github.com/PalmEmanuel/AzAuth Emanuel's PS Wednesday: https://www.youtube.com/watch?v=trP2LLDynA0 Arkanum Coffee (Emanuel's hobby project): https://arkanum.coffee PDQ Discord: https://discord.gg/pdq Connect with Andrew: https://andrewpla.tech/links The PowerShell Podcast on YouTube: https://youtu.be/-uHHGVH1Kcc The PowerShell Podcast hub: https://pdq.com/the-powershell-podcast 

Your SaaS COGS (Cost of Goods Sold) is one of the most important foundations in your SaaS P&L — and getting it wrong can distort your gross profit margins, forecasts, SaaS metrics, investor metrics, and ultimately your valuation. In this episode, Ben Murray breaks down exactly what belongs in SaaS COGS, how to handle multi-hat employees, and why clean financial reporting is critical for scaling. If you're a SaaS founder, CFO, or operator, episode #311 will help you properly structure your business model for accurate financial reporting and investor-ready transparency. What You'll Learn Departments to include in COGS: Tech support, professional services, managed services, customer success (non-sales), DevOps, hardware, and transactional costs. Why COGS must be fully burdened (wages, taxes, benefits, bonuses, travel, etc.). How to handle allocations when employees wear multiple hats (without overcomplicating your accounting). The role of transactional cost centers for usage-based or variable revenue models. Why accurate COGS = accurate gross profit, margins by revenue stream, and valuation metrics. The importance of following the matching principle under accrual accounting. Why It Matters Finance & Accounting: Accurate COGS sets the foundation for reliable P&Ls and forecasts. Investor Metrics: Clean COGS helps investors and acquirers trust your financial systems and data. Valuation: Strong, transparent gross profit reporting increases confidence during fundraising or exit planning. Business Leaders: Knowing your true COGS drives better decision-making across your revenue streams. Resources Mentioned Blog Post: How to Structure Your SaaS P&L Correctly: https://www.thesaascfo.com/what-should-be-included-in-saas-cogs/ Academy Content: Deep dive into SaaS COGS, OPEX, and financial modeling for SaaS and AI companies: https://www.thesaasacademy.com/the-saas-metrics-foundation Quote from Ben “Your SaaS COGS must be fully burdened — labor, taxes, benefits, even pizza parties. That's how you get accurate gross profit and investor-ready financials.”

I was working with a customer recently that is trying to improve their processes. This was a large company, over 100,000 employees, though most of them aren't in the technology area. However, across many divisions and groups, there are a lot of developers and operations personnel who have tended to work in silos, managing their own applications and systems in disparate ways. In other words, doing software development the way most companies do it. Read the rest of Requiring Technical Debt Payments

How has DevOps changed in 2025? Carl and Richard talk to Michael Levan about his experiences helping teams automate their development workflows, and dealing with all the details that help the entire team focus on providing customer value. Michael digs into the role of the new AI tools in facilitating better workflows around code, testing, deployment, telemetry, and more. Then the conversation turns to security - and the many challenges that exist to make applications that are secure when deployed, and help with the security challenges that happen while in operation!

AI is rewriting the rules of code review and CodeRabbit is leading the charge. In this featured episode of Screaming in the Cloud, Harjot Gill shares with Corey Quinn how his team built the most-installed AI app on GitHub and GitLab, nailed positive unit economics, and turned code review into a powerful guardrail for the AI era.Show Highlights(0:00) Entrepreneurial Journey and Code Rabbit's Origin (3:06) The Broken Nature of Code Reviews (5:47) Developer Feedback and the Future of Code Review (9:50) AI-Generated Code and the Code Review Burden (11:46) Traditional Tools vs. AI in Code Review (13:41) Keeping Up with State-of-the-Art Models (16:16) Cloud Architecture and Google Cloud Run(18:21) Context Engineering for Large Codebases (20:52) Taming LLMs and Balancing Feedback (22:30) Business Model and Open Source Strategy About Harjot Gill Harjot is the CEO of CodeRabbit, a leading AI-first developer tools company. LinksHarjot on LinkedIn: https://www.linkedin.com/in/harjotsgill/SponsorCodeRabbit: https://coderabbit.link/corey

Is your Salesforce org as secure as you think? Many common configurations leave companies vulnerable, but mastering a few core principles can transform your security posture.In this episode of DevOps Diaries, Jack McCurdy is joined by Technical Program Manager and Salesforce security author Alice Jessop to demystify the art of protecting your CRM. They cut through the noise to deliver actionable insights for admins, developers, and managers.Alice unpacks the modern challenges of Salesforce security, from debunking dangerous misconceptions to navigating the complexities of user management. You'll learn the critical difference between Profiles and Permission Sets, why the principle of least privilege is non-negotiable, and how to cultivate a security-first mindset within your team.Tune in to explore:- The Evolution of Salesforce Security: How to stay ahead in the ever-changing Salesforce landscape.- Profiles vs. Permission Sets: Finally understand when and how to use each for optimal security.- The role of humans in security: Why your biggest vulnerability might not be technical.- The future of AI in security: How artificial intelligence is poised to change Salesforce security forever.- Actionable advice: Concrete tips on data classification and career growth for Salesforce professionals.Whether you're new to the ecosystem or a seasoned architect, this conversation provides a crucial framework for building a more resilient and secure Salesforce environment.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 Salesforce Security02:41 Evolution of Salesforce Security05:23 Common Misconceptions About Salesforce Security07:56 The Role of Admins in Security10:45 Profiles vs. Permission Sets13:30 Balancing Business and User Needs16:01 Building a Security Mindset18:25 Human Factors in Security21:00 The Exciting Intersection of AI and Security24:07 Data Management: The Foundation for AI Agents27:14 Experimenting with AI: Low-Risk Environments31:15 Conducting Effective Security Reviews35:24 The Future of Salesforce: Admins and AI37:55 Career Advice: Adapting in a Changing Landscape38:48 Humor and Learning: Insights from a Unique Journey

Recebemos hoje a Lara Xavier para um papo sério (e divertido) sobre observabilidade no Brasil. Conversamos sobre como sair da visão puramente reativa para uma estratégia madura que combina logs, métricas e rastros, além de cultura e processo. Entramos em dilemas de custo, priorização e responsabilidade compartilhada entre SRE e desenvolvimento, sempre com exemplos práticos do dia a dia.Falamos do começo de carreira da Lara, dos aprendizados que moldaram a forma como ela encara incidentes e de como transformar telemetria em decisões, não só em dashboards bonitos. Em “Logs e Métricas” discutimos instrumentação, qualidade de dados e sinais acionáveis, enquanto em “Vulnerabilidades e Diagnóstico” abordamos como enxergar falhas sem caça às bruxas, conectando observabilidade a segurança e a uma cultura de melhoria contínua.Puxamos também a “stack da Grafana” e as diferenças de abordagem entre times, além de boas práticas para quem quer elevar o nível da observabilidade no Kubernetes. No caminho, rimos das confusões de LinkedIn vs. Lattes, mas sem perder a mão técnica: falamos de SLO/SLI, alertas com menos ruído e decisões orientadas por telemetria. Bora?Links Importantes:- Lara Xavier - https://www.linkedin.com/in/lara-xavier-bb389788/- Links da Lara - https://linktr.ee/Larasxavier- João Brito - https://www.linkedin.com/in/juniorjbn- Assista ao FilmeTEArapia - https://youtu.be/M4QFmW_HZh0?si=HIXBDWZJ8yPbpflM- Seja Grafana Champion - https://grafana.com/community/champions/Hashtags#Observabilidade #Kubernetes #DevOps #DevSecOps #Kubicast #Containers #Getup #Grafana #Logs #Métricas #SRE #SLI #SLO #Tracing #Prometheus #Loki #Jaeger #OpenTelemetry #Dashboards #Instrumentação #CarreiraTech #Comunidade #CulturaDevOps #BrasilO 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.

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

Faddom is re-envisioning what application dependency mapping and infrastructure inventory can be in the era of cloud and hybrid IT. Join us today on this sponsored episode as we speak with Faddom’s Itamar Rotem, CPO and Ofer Regev, CTO,  about how Faddom’s discovery process can help to improve migrations for any size organization and help... Read more »

John Capobianco is back! Just months after our first Model Context Protocol (MCP) discussion, John returns to showcase how this “USB-C of software” has transformed from experimental technology to an enterprise-ready solutions. We explore the game-changing OAuth 2.1 security updates, witness live demonstrations of packet analysis through natural language with Gemini CLI, and discover how... Read more »

Daniel Deogun and Dan Bergh Johnsson -- two of the co-authors of the book, Secure by Design -- discuss the intersection of good software design and security with host Sam Taggart. They describe how following certain software design principles can help developers create secure software without needing to become security experts. They talked about how this is the continuation of developers taking on more responsibilities: Agile asked developers to become responsible for testing their code. DevOps asked developers to work together with operations in deploying their code. Secure by Design asks developers to incorporate security into their designs. Brought to you by IEEE Computer Society and IEEE Software magazine.

Faddom is re-envisioning what application dependency mapping and infrastructure inventory can be in the era of cloud and hybrid IT. Join us today on this sponsored episode as we speak with Faddom’s Itamar Rotem, CPO and Ofer Regev, CTO,  about how Faddom’s discovery process can help to improve migrations for any size organization and help... Read more »

AWS Morning Brief for the week of September 2nd, 2025, with Corey Quinn. Links:How Ancestry optimizes a 100-billion-row Iceberg tableMastering Amazon Q Developer with Rules Bob's Used Books: Build a .NET Serverless Application on AWS – Part 2: ArchitectureHow Amazon Finance built an AI assistant using Amazon Bedrock and Amazon Kendra to support analysts for data discovery and business insights Building Your Open Source Commercial Strategy with AWSHow to optimize Amazon RDS and Amazon Aurora database costs/performance with AWS Compute OptimizerGracefully handle failed AWS Lambda events from Amazon DynamoDB StreamsAnnouncing the AWS Billing and Cost Management MCP serverAWS joins the DocumentDB project to build interoperable, open source document database technologyCount Tokens API supported for Anthropic's Claude models now in Amazon Bedrock

Faddom is re-envisioning what application dependency mapping and infrastructure inventory can be in the era of cloud and hybrid IT. Join us today on this sponsored episode as we speak with Faddom’s Itamar Rotem, CPO and Ofer Regev, CTO,  about how Faddom’s discovery process can help to improve migrations for any size organization and help... Read more »

How has DevOps changed in 2025? Carl and Richard talk to Michael Levan about his experiences helping teams automate their development workflows, and dealing with all the details that help the entire team focus on providing customer value. Michael digs into the role of the new AI tools in facilitating better workflows around code, testing, deployment, telemetry, and more. Then the conversation turns to security - and the many challenges that exist to make applications that are secure when deployed, and help with the security challenges that happen while in operation!

Please enjoy this encore of Word Notes. The set of people, process, technology, and cultural norms that integrates software development and IT operations into a system-of-systems. CyberWire Glossary link: ⁠https://thecyberwire.com/glossary/devops⁠ Audio reference link: "⁠10+ Deploys Per Day: Dev and Ops Cooperation at Flickr⁠," by John Allspaw and Paul Hammond, Velocity 09, 25 July 2009.

Please enjoy this encore of Word Notes. The set of people, process, technology, and cultural norms that integrates software development and IT operations into a system-of-systems. CyberWire Glossary link: ⁠https://thecyberwire.com/glossary/devops⁠ Audio reference link: "⁠10+ Deploys Per Day: Dev and Ops Cooperation at Flickr⁠," by John Allspaw and Paul Hammond, Velocity 09, 25 July 2009. Learn more about your ad choices. Visit megaphone.fm/adchoices

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 »

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

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.

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.

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

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 

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.