Podcasts about DevOps

William and Eyvonne tackle the biggest AI stories of early 2026. They dissect Matt Schumer’s viral “Something Big is Happening” essay – agreeing professionals need to skill up now while pushing back on the doomsday framing with real-world examples from engineering disciplines. The conversation takes a fascinating turn as Eyvonne draws a parallel between AI-assisted... Read more »

En este episodio de No Hay Tos, Héctor y Beto entrevistan a Daniel, ingeniero en sistemas, sobre cómo es trabajar en tech en México. Hablan del uso diario del inglés y el spanglish, los tipos de proyectos (backend, frontend, nube, integración), las oportunidades internacionales y el ambiente laboral, desde empresas exigentes hasta startups con mejores condiciones y trabajo remoto. También comentan el estado de la ciberseguridad en México y comparten consejos prácticos para protegerse en línea. If you'd like to listen to our episodes ad-free and get the full word-for-word transcript of this episode — including English explanations and translations of Mexican slang and colloquial expressions — visit us on Patreon. You can also find more content and resources on our website: nohaytospodcast.com If the podcast has been helpful to you, please leave us a review on Apple Podcasts — it really helps! And if you prefer video, check out our YouTube channel. No Hay Tos is a Spanish podcast from Mexico for students who want to improve their listening comprehension, reinforce grammar, and learn about Mexican culture and Mexican Spanish. All rights reserved. No Hay Tos is a Spanish podcast from Mexico for students who want to improve their listening comprehension, reinforce grammar, and learn about Mexican culture and Mexican Spanish. All rights reserved.

AI test automation is evolving fast — but most tools still generate brittle code that breaks with every UI change. See it for yourself now: https://links.testguild.com/Thunders In this episode of the TestGuild Podcast, Joe Colantonio sits down with Karim Jouini, founder of Thunders, to explore a radically different approach to AI testing: executing test automation in plain English without generating Selenium or Playwright code. Instead of "auto-healing selectors," Thunders interprets natural language directly — allowing teams to: Ship twice as fast Achieve 10x test coverage with the same resources Reduce regression cycles from weeks to days Eliminate massive automation maintenance overhead Karim shares real-world case studies, including: A European bank that reduced a 3-year core banking upgrade testing effort to 4 months A SaaS company that transitioned from a traditional QA team to AI-assisted product-led testing We also discuss: Whether AI test agents replace QA roles How QA managers must shift from individual contributors to AI managers The risks of adopting AI without a defined success metric The future of shift-left testing in the AI era If you're a software tester, automation engineer, QA lead, or DevOps leader trying to understand what's hype versus real ROI in AI testing — this episode breaks it down. Try it for yourself and see how AI testing fits into your pipeline. Get personal demo: https://links.testguild.com/Thunders  

Hoje o papo é sobre a experiência de quem desenvolve em dois cenários bem diferentes! Neste episódio, mergulhamos nos motivos que levaram ao surgimento de dois mundos distintos na experiência da pessoa desenvolvedora: o de DevOps, e o da engenharia de plataforma. Além disso, exploramos o que quem desenvolve precisa fazer para se adaptar e sobreviver em cada um desses contextos. Vem ver quem participou desse papo! André David, o host que vê o tamanho do sofrimento Vinny Neves, Líder de Front-End na Alura Igor Regis, Especialista em TI (Distinguished Software Engineer) no BB Links: O Projeto Fênix: um Romance Sobre TI, DevOps e Sobre Ajudar o seu Negócio a Vencer DORA Metrics Entrega Contínua: Como Entregar Software de Forma Rápida e Confiável SCA: Software Composition Analysis SAST: Static Application Security Testing DAST: Dynamic Application Security Testing Team Topologies, 2nd Edition: Organizing Business and Technology for Fast Flow of Value Garanta até 30% de desconto para estudar por até dois anos na Alura antes do preço subir! TechGuide.sh, um mapeamento das principais tecnologias demandadas pelo mercado para diferentes carreiras, com nossas sugestões e opiniões. #7DaysOfCode: Coloque em prática os seus conhecimentos de programação em desafios diários e gratuitos. Acesse https://7daysofcode.io/ Produção e conteúdo: Alura Cursos de Tecnologia – https://www.alura.com.br Edição e sonorização: Rede Gigahertz de Podcasts

AWS Morning Brief for the week of February 23rd, with Corey Quinn. Links:Amazon Bedrock expands support for AWS PrivateLinkAWS CloudWatch Alarm Mute Rules eliminate alert fatigueAmazon EC2 supports nested virtualization on virtual Amazon EC2 instancesAnnouncing Amazon DocumentDB long-term support (LTS) on 5.0AWS Certificate Manager updates default certificate validity to comply with new guidelinesClaude Sonnet 4.6 now available in Amazon BedrockKiro is now available in AWS GovCloud (US) RegionsAmazon EC2 Hpc8a Instances powered by 5th Gen AMD EPYC processors are now availableIntroducing VPC encryption controls: Enforce encryption in transit within and across VPCs in a RegionMigrating from AWS App Runner to Amazon ECS Express ModeIntroducing Agent Plugins for AWSBuild unified intelligence with Amazon Bedrock AgentCoreReduce unexpected AWS costs: Tracing AWS billing charges with log correlation techniques

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 What does an 8-year-old's soda stand have in common with an $83M Series C tech exit? For Daniel R. Odio (DROdio) (Founder & CEO of Storytell.ai), the answer is simple: Seeing the wave before it hits.
 From building "Redfin before Redfin" by indexing the MLS for Google, to scaling the DevOps giant Armory, DROdio has mastered the transition from founder to serial departer. In this episode, we go deep on the "physics" of an acquisition, why businesses are bought (not sold), and how he is currently using AI to deconstruct unstructured data.

 -- Daniel R. Odio (DROdio) is a seasoned technology entrepreneur and CEO of Storytell.ai, a predictive strategic intelligence platform trusted by enterprise teams to extract signals from complex data and make it actionable. Previously the founding CEO of Armory, a cloud infrastructure company that helped Global 2000 companies ship software faster and more safely before its acquisition by Harness in 2024, Daniel has built and led multiple successful startups through growth and exits. He combines deep technical and business expertise with a passion for founder-first communities like FounderCulture, and he shares insights on leadership, product strategy, and AI.

 Website - https://storytell.ai/ 

 LinkedIn - https://www.linkedin.com/in/drodio/ 


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 [02:09] Catching the 20-year tech waves: From Real Estate to DevOps to AI.
 [03:15] "Redfin before Redfin": How DROdio gamed early Google search results to dominate the DC real estate market.
 [04:47] The Ezra Royzen philosophy: Why businesses are bought, not sold.
 [06:13] Preparation is everything: How a messy NDA folder can kill a seven-figure deal.
 [08:30] The Strategic Buyer: How to find a champion who will put their career on the line to acquire you.
[12:30] Lessons from Armory: Scaling to 150 people and the importance of "tending the founder garden."
 [16:10] Advice to my younger self: "Founders are time travelers."
 [18:30] Demo: Using Storytell.ai to analyze a Flippa listing and find "Existential Threats" in seconds.


 -- The Exit—Presented By Flippa: A 30-minute podcast featuring expert entrepreneurs who have been there and done it. The Exit talks to operators who have bought and sold a business. You'll learn how they did it, why they did it, and get exposure to the world of exits, a world occupied by a small few, but accessible to many. To listen to the podcast or get daily listing updates, click on flippa.com/the-exit-podcast/

https://clearmeasure.com/developers/forums/ Paul Duvall is an award‑winning author, longtime DevOps leader, and former AWS executive with more than two decades of experience in software engineering. He co‑founded Stelligent, establishing a business dedicated to enabling enterprise customers adopt DevOps and Security practices on AWS. He is the author of the book at defined CI for the world: Continuous Integration: Improving Software Quality and Reducing Risk. The book received the 2008 Jolt Award and continues to be the official textbook for continuous integration. Today, he focuses on helping engineering teams adopt AI‑native and DevSecOps practices, drawing on multiple decades of delivering and managing software solutions. Mentioned in this Episode LinkedIn Website X Account Continuous Integration  Github  AI Development Patterns Redacted Adventures  Making CI CD Invisible a Vision for Zero Touch Delivery -  Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Как справляться с потоком информации, не забывать детали рабочих созвонов и превращать хаос в структуру? Виктор делится своей системой Personal Knowledge Management (PKM) в Obsidian. В этом выпуске разбираем теорию «Второго мозга»: от пирамиды знаний до метода Zettelkasten и системы организации папок Johnny Decimal. Саша скептически ищет практическую пользу, а Виктор показывает свой граф заметок. Также внутри — анонс нашей книги про Kubernetes интервью и список мастхэв плагинов. О чём выпуск: - Пирамида DIKW: Чем данные отличаются от мудрости и как это процессить. - Методологии: Zettelkasten (связи) и Johnny Decimal (структура папок). - AI и Obsidian: Как сделать RAG по своим заметкам с помощью Copilot и локальных моделей. - Синхронизация: Git, S3, WebDAV или платные сервисы — что выбрать. - Плагины: Обзор базового набора (Dataview, Excalidraw, Templater и др.). - Анонс книги: Как мы 2 года писали «Cracking the Kubernetes Interview».   ССЫЛКИ

This week, we discuss personal AI hype cycles, bottoms-up adoption, and "The Modern Stack" simplifying cloud. Plus, thoughts on new cars and the dogs that ride in them. Watch the YouTube Live Recording of Episode 560 Runner-up Titles They only talk about AI I bet you have 5 shop vacs It's all going into applesauce Live Claude Code It Good defaults and opinions, nobody wants that Give me 5 minutes, and I'll give you fifty 6 page memos I know I just pulled off a Pivotal scab. Free Tier as a Service Rundown Something Big Is Happening OpenClaw creator Peter Steinberger joins OpenAI Modern Stack: Fly.io, Neon, Upstash and Cloudflare Relevant to your Interests An AI Agent Published a Hit Piece on Me YouTube launches native app for Apple Vision Pro Not all cables are born equal, so test your USB cables with these cheap USB testers — these budget-priced tools help you protect your expensive gear from faulty or bad-quality leads The Lunduke Journal (@LundukeJournal) Video on Apple Podcasts - Apple Podcasts for Creators Temporal raises $300M Series D at a $5B valuation as AI drives demand for Durable Execution Amazon's Ring cancels Flock partnership amid Super Bowl ad backlash Meta Plans to Add Facial Recognition Technology to Its Smart Glasses Anthropic raises $30 billion in Series G funding at $380 billion post-money valuation Introducing Sonnet 4.6 Conferences DevOpsDay LA at SCALE23x, March 6th, Pasadena, CA Use code: DEVOP for 50% off. Devnexus 2026, March 4th to 6th, Atlanta, GA. Use this 30% off discount code from your pals at Tanzu: DN26VMWARE30. Check out the Tanzu and Spring talks and trading cards on THE LANDING PAGE. Shout out to the people who saw the trading cards and messaged me! Austin Meetup, March 10th, Listener Steve Anness speaking on Grafana KubeCon EU, March 23rd to 26th, 2026 - Coté will be there on a media pass. Devopsdays Atlanta 2026, April 21-22, 2026 DevOpsDays Austin, May 5 - 6, 2026 WeAreDevelopers, July 8th to 10th, Berlin, Coté speaking. VMware User Groups (VMUGs): Amsterdam (March 17-19, 2026) - Coté speaking. Minneapolis (April 7-9, 2026) Toronto (May 12-14, 2026) Dallas (June 9-11, 2026) Orlando (October 20-22, 2026) SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Recommendations Brandon: Ghostty pairs nicely with Claude Code Matt: Home Assistant Connect ZBT-2 Coté: Iron Lung. ChatGPT for upscaling images, like this one.

Today, Ethan and Holly provide an overview of firewalls. While cybersecurity is a separate discipline from network engineering, much of what happens in cybersecurity is interesting at the packet level, so there’s a good deal of overlap. It's likely that as a network engineer, you'll be managing, or at least dealing with, firewalls in your... Read more »

This week on Screaming in the Cloud, Corey sits down with Chris Hill, CEO of Humble Pod, to talk about the messy, nuanced reality of AI in media. From secretly cloning Corey's voice for an ad using ElevenLabs (and almost getting away with it) to the growing tension between polished production and authentic content, they unpack what AI can actually do versus what it claims to do.They explore the shifting economics of podcasting, the rise of video-first formats, Netflix's entrance into the space, and why “good enough” production often beats expensive studio perfection. It's a candid conversation about trust, automation, creative integrity, and why sometimes the most dangerous AI use case is the one no one notices.Show Highlights:(00:00) The AI Voice Clone Ad Nobody Noticed(00:44) 700 Episodes In: Catching Up with Humble Pod's Chris Hill(01:16) New Studio, New Vibes: Building a Podcast Space in Tennessee(01:51) AI in Podcasting Workflows: Riverside, Editing Promises & Human Judgment(07:50) Authenticity vs Production Value + Duckbill Hiring & Product Shift(14:05) Renewals, churn, and why point solutions fail(14:15) The Doc Tools saga: building the wrong thing (and Disney lawyers)(15:15) Bahamas studio build: consulting where quality really matters(16:34) Gear talk & pro tips: teleprompters, cameras, and looking at the lens(18:50) Podcasting goes video-first: clips, discovery, TikTok, and the wrap-upAbout Chris Hill: Chris Hill is a Knoxville, TN native and founder of Humble Pod, where he helps brands, startups, and thought leaders develop, launch, and grow podcasts across the U.S. and beyond. He works with clients ranging from local Knoxville businesses to entrepreneurs in Silicon Valley and around the world.Chris is the co-host and producer of Our Humble Beer Podcast and lectures on podcasting and marketing at the University of Tennessee. He earned his undergraduate degree in Marketing & Entrepreneurship from the University of Tennessee at Chattanooga and later received his MBA from King University.He currently serves as President of the American Marketing Association Knoxville chapter and enjoys supporting the local craft beer community, traveling internationally, and exploring the outdoors.Links: Humblepod: https://www.humblepod.com/Sponsored by: duckbillhq.com

Realities Remixed, formerly know as Cloud Realities, launches a new season exploring the intersection of people, culture, technology, and society. Hosts Dave Chapman, Esmee van de Giessen, and Rob Kernahan unpack 2026's defining trends, from AI and sovereignty to adaptability and automation, offering fresh insight, candid reflections, and forward‑looking conversations shaping the year ahead. TLDR00:20 – Introduction of Realities Remixed02:30 – Why the show evolved?04:50 – Dig in with the team: Predictions for 202606:40 – Macro trends13:00 – Sovereignty 17:40 – Agentic AI22:17 – Human–AI interaction26:06 – Cloud trends30:42 – AI scaling, domain‑specific models35:03 – Adoption lag39:34 – Physical AI43:47 – Quantum computing48:21 – Hardware acceleration50:30 – Cybersecurity52:38 – Season outlook HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

What happens when you deploy to prod on a Friday and it starts firing emails to every customer? Dan Barckley has lived it — and it's why he's now a DevOps believer. In this episode: accidental admin origins, why simple beats complex every time, Agentforce skepticism, and the leadership mindset that changes everything.About DevOps Diaries: Salesforce DevOps Advocate Jack McCurdy chats to members of the Salesforce community about their experience in the Salesforce ecosystem. Expect to hear and learn from inspirational stories of personal growth and business success, whilst discovering all the trials, tribulations, and joy that comes with delivering Salesforce for companies of all shapes and sizes. New episodes bi-weekly on YouTube as well as on your preferred podcast platform.Podcast produced and sponsored by Gearset. Learn more about Gearset: https://grst.co/4iCnas2About 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:01:36 Introducing Daniel Barckley: A Journey in Salesforce04:16 The Joy of Problem Solving in DevOps07:05 Learning from Mistakes: The Accidental Admin09:35 Tinkering and Innovation: Building in Salesforce12:37 The Importance of Mentorship and Leadership15:21 Characteristics of Great Leaders18:18 Navigating the Salesforce Ecosystem20:46 The Future of Salesforce: AI and Automation23:46 Data Management and Business Continuity26:43 Iterative Development and Continuous Improvement29:19 Embracing Change in the Tech World32:11 Closing Thoughts: Lead with Curiosity

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-hours Support the show

Peter Maddison and Dave Sharrock sit down with Steve Pereira, founder of Visible Flow Consulting, to talk about something most organizations get backwards: the obsession with efficiency at the expense of actual flow.Steve works with large companies to improve operational performance through value stream mapping and continuous delivery. But the conversations he keeps having aren't about cutting costs. They're about untethering capable people from the systems that are quietly holding them back.In this episode, the three dig into why high utilization is often the enemy of good work, how lean thinking applies to knowledge work without losing what makes knowledge work different, and why adding AI on top of a broken system just makes things break faster.If your organization feels like it should be doing more than it is, this one's worth your time. And if you want all 4 takeaways, don't miss the last few minutes of the episode.This week´s takeaways: Step back from the work to look at how the work works. Whether it's a value stream mapping session or a quiet moment of reflection, intentional distance helps you see not just whether the saw is dull, but whether you're sawing the right tree.High utilization is not efficiency. Running people and teams at full capacity removes the slack needed to respond, adapt, and make good decisions. Optimal is closer to 80 percent. The rest needs to be budgeted, not eliminated.Understand your system before adding new tools. Whether it's AI, automation, or the latest framework, bolting new capabilities onto a system you don't fully understand tends to make existing problems worse, not better. Map first. Then act.Extra Resources:

Kat Traxler, Principal Security Researcher at Vectra AI, returns to the podcast to discuss her AI-powered vulnerability research workflow. She explains how she uses two different AI models to act as the “blackboard” while she applies her expertise to triage AI-generated ideas to increase her productivity. She also asks a concerning question: As AI automates... Read more »

AI Assisted Coding: How Spending 4x More on Code Quality Doubled Development Speed What happens when you combine nearly 30 years of engineering experience with AI-assisted coding? In this episode, Eduardo Ferro shares his experiments showing that AI doesn't replace good practices—it amplifies them. The result: doubled productivity while spending four times more on code quality. Vibe Coding vs Production-Grade AI Development "Vibe coding is flow-driven, curiosity-based way of building software with AI. It's less about meticulously reviewing each line of code, and more about letting the AI steer the process—perfect for quick experiments, side projects, MVPs, and prototypes."   Edu draws a clear distinction between vibe coding and production AI development. Vibe coding is exploration-focused, where you let AI drive while you learn and discover. Production AI coding is goal-focused, with careful planning, spec definition, and identification of edge cases before implementation. Both use small, safe steps and continuous conversation with the AI, but production code demands architectural thinking, security analysis, and sustainability practices. The key insight is that even vibe coding benefits from engineering discipline—as experiments grow, you need sustainable practices to maintain flexibility. How AI Doubled My Productivity "I was investing four times more in refactoring, cleanup, deleting code, introducing new tests, improving testability, and security analysis than in generating new features. And at the same time, globally, I think I more or less doubled my pace of work."   Edu's two-month experiment with production code revealed a counterintuitive finding: by spending 4x more time on code quality activities—refactoring, cleanup, test improvement, and security analysis—he actually doubled his overall delivery speed. The secret lies in fast feedback loops. With AI, you can implement a feature, run automated code review, analyze security, prioritize improvements, and iterate—all within an hour. What used to be a day's work happens in a single focused session, and the quality improvements compound over time. The Positive Spiral of Code Removal "We removed code, so we removed all the features that were not being used. And whenever I remove this code, the next step is to automatically try to see, okay, can I simplify the architecture."   One of the most powerful practices Edu discovered is using AI to accelerate code removal. By connecting product analytics to identify unused features, then using AI to quickly remove them, you trigger a positive spiral: removing code makes architecture changes easier, easier architecture changes enable faster feature development, which leads to more opportunities for simplification. This creates a self-reinforcing cycle that humans historically have been reluctant to pursue because removal was as expensive as creation. Preparing the System Before Introducing Change "What I want to generate is this new functionality—how should I change my system to make it super easy to introduce this one? It's not about making the change, it's about making the change easy."   Edu describes a practice that was previously too expensive: preparing the system before introducing changes. By analyzing architecture decision records, understanding the existing design, and adapting the codebase first, new features become trivial to implement. AI makes this preparation cheap enough to do routinely. The result is systems that evolve cleanly rather than accumulating technical debt with each new feature. AI as an Amplifier: The Double-Edged Sword "AI is an amplifier. People who already know how to develop software well will continue to develop it well and faster. People who did not know how to develop software well will probably get in trouble much faster than they would otherwise."   Edu's central metaphor is AI as an amplifier—it doesn't replace engineering judgment, it magnifies its presence or absence. Teams with strong practices will see accelerated improvement; teams without them will generate technical debt faster than ever. This has implications beyond individual productivity: the market will be saturated with solutions, making product discovery and distribution channels more important than implementation capability.   In this episode, we refer to Edu's blog post Fast Feedback, Fast Features: My AI Assisted Coding Experiment and Vibe Coding by Gene Kim.   About Eduardo Ferro Edu Ferro is Head of Engineering and Data Platform at ClarityAI, with nearly 30 years' experience. He helps teams deliver value through Lean, XP, and DevOps, blending technical depth with product thinking. Recently he explores AI-assisted product development, sharing insights and experiments on his site eferro.net.   You can connect with Edu Ferro on LinkedIn.

Kat Traxler, Principal Security Researcher at Vectra AI, returns to the podcast to discuss her AI-powered vulnerability research workflow. She explains how she uses two different AI models to act as the “blackboard” while she applies her expertise to triage AI-generated ideas to increase her productivity. She also asks a concerning question: As AI automates... Read more »

In this episode, Scott talks with Lilah Jones about the Activated Leader, how it can help navigate change, and her keynote at #phptek 2026. Links: Our Discord – https://discord.gg/aMTxunVx Buy our shirts – https://store.phparch.com/products/community-corner-podcast-t-shirt Lilah’s Links: Instagram – https://www.instagram.com/_lilahjones/ LinkedIn – https://www.linkedin.com/in/lilahjones/ Scott’s Social Media: Website – https://scott.keck-warren.com/ Bluesky – https://bsky.app/profile/scottkeckwarren.bsky.social LinkedIn – https://www.linkedin.com/in/scott-keck-warren-91689810/ Mastodon – https://phpc.social/@scottkeckwarren PHP Architect Social Media: X: https://x.com/phparch Mastodon: https://phparch.social/@phparch Bluesky: https://bsky.app/profile/phparch.com Discord: https://discord.phparch.com Subscribe to our magazine: https://www.phparch.com/subscribe/ Partners This podcast is made a little better thanks to our partners. Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore https://phpscore.com/ Honeybadger.io Honeybadger helps you deploy with confidence and be your team's DevOps hero by combining error, uptime, and performance monitoring in one simple platform. Check it out at honeybadger.io CodeRabit CodeRabbit – Cut code review time & bugs in half instantly with CodeRabbit. https://www.coderabbit.ai/ Music Provided by Epidemic Sound https://www.epidemicsound.com/ #phpc #php #communityCornerPodcast #podcast #phptek The post Community Corner: The Activated Leader with Lilah Jones appeared first on PHP Architect.

Kat Traxler, Principal Security Researcher at Vectra AI, returns to the podcast to discuss her AI-powered vulnerability research workflow. She explains how she uses two different AI models to act as the “blackboard” while she applies her expertise to triage AI-generated ideas to increase her productivity. She also asks a concerning question: As AI automates... Read more »

Is traditional performance testing becoming obsolete? In this episode, performance engineering expert Akash Thakur shares why AI is fundamentally transforming load testing, scripting, observability, and shift-left strategies. With 17 years of real-world enterprise experience, Akash explains how AI-augmented tools are already reducing scripting time by 30%, improving analysis speed, and helping teams move from reactive performance testing to predictive intelligence. You'll learn: How AI is accelerating performance scripting and analysis Why shift-left performance testing is finally becoming realistic The role of structured data in predictive QA models How to test AI applications (LLMs, GPUs, inference throughput) differently than traditional web apps What the future role of performance engineers looks like — architect, not script writer If you're a performance tester, SRE, QA leader, or DevOps engineer wondering how AI will impact your role — this episode gives you practical, actionable insights you can apply immediately.

AWS Morning Brief for the week of February 17th, with Corey Quinn. Links:Amazon Aurora DSQL is now available in additional AWS RegionsAmazon Bedrock adds support for six fully-managed open weights modelsAWS Config now supports 30 new resource typesAnnouncing new Amazon EC2 general purpose M8azn instancesAWS Network Firewall announces new price reductionsAmazon S3 Tables add partition and sort order definition in the CreateTable APIAmazon Athena adds 1-minute reservations and new capacity control featuresBuilding fault-tolerant applications with AWS Lambda durable functions Simplify cross-account stream processing with AWS Lambda and Amazon DynamoDBAutomated Reasoning checks rewriting chatbot reference implementationMastering Amazon Bedrock throttling and service availability: A comprehensive guideReservoir computing on an analog Rydberg-atom quantum computer

I'm joined by Nirmal Mehta of AWS and Viktor Farcic from Upbound, to go through our 2025 year in review. We look into the AI tools that consumed us this year, from CLI agents to terminal emulators, IDEs, AI browsers - what worked, what flopped, what's worth your time and money, and what we think isn't!Check out the video podcast version here: https://youtu.be/mnagfUsh5bc

У свіжому дайджесті DOU News обговорюємо як рф змушує родини полонених реєструвати на себе Starlink. У світі ШІ — справжній бум інвестицій: Anthropic залучає $30 млрд, а в OpenAI черговий скандал через рекламу в ChatGPT. Також у випуску: доля команди Tabletki.ua після угоди з «Київстаром», проблеми нової Siri та новини про GTA VI. Дивіться ці та інші новини українського та світового тек-сектору. Таймкоди 00:00 Інтро 00:21 Зарплати девопсів: свіжа аналітика ринку 01:36 Шантаж полоненими: РФ змушує родичів реєструвати Starlink 02:39 Реєстрація на Algorithms in practice від CS Osvita 03:32 Доля команди Tabletki.ua після угоди з «Київстаром» 05:20 На війні загинув Володимир Фриз — QC Engineer компанії SoftServe 05:58 Anthropic залучила додаткові $30 млрд у раунді Series G 08:28 Дослідниця OpenAI звільнилася через рекламу в ChatGPT 12:04 Арсенал талантів: ярмарок вакансій у Defense Tech від DOU та LobbyX 13:08 «Деплой із маршрутки»: СЕО Spotify про те, як ШІ замінив код 17:03 GLM-5: від вайб-кодингу до агентного інжинірингу 19:53 Оновлення Siri в iOS 26.4: проблеми з тестуванням та затримки 21:46 Ідеальний PR, який відхилили: чому компанії бояться коду від ШІ 24:53 Take-Two звітує про рекордні $1,76 млрд за квартал та статус GTA VI 26:54 Що рекомендує Женя: Analyzecore та статтю «ШІ не зменшує роботу, а посилює її»

https://clearmeasure.com/developers/forums/   Damian Brady is a Staff Developer Advocate at GitHub. He's a developer, speaker, and author specializing in AI, DevOps, MLOps, developer process, and software architecture. Formerly a Cloud Advocate at Microsoft for four years, and before that, a dev at Octopus Deploy and a Microsoft MVP, he has a 25-year background in software development and consulting in a broad range of industries. In Australia, he co-organized the Brisbane .Net User Group and launched the annual DDD Brisbane conference. Mentioned In This Episode  Episode 306 Episode 258 Episode 206 Episode 008 Github CoPilot Workspace X Account Website  Githubnext  Copilot for Docs Copilot for Pull Requests CoPilot Voice "What is GitHub Models? Here's how to use AI models easily"  "15 Minutes to Merge: The top feature announcements from GitHub Universe!" SpecKit  Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

This week, we discuss the future of SaaS, OpenAI vs. Anthropic strategies, and cloud capex. Plus, when will you let an AI book your flights? Watch the YouTube Live Recording of Episode 559 Runner-up Titles Do we get to eat Moon Pies? Some days it's just me and the AI We have a LinkedIn page The state of the world has not gotten better, it's just moved to Kubernetes Trained on the Corpse of Stack Overflow. We just have to get the files right It is all just files It's all an OODA loop Rinse and reply. Is Software dead? Your margin is my yacht. claude-travel.md Vegans have morals though Rundown DriftlessAF: Introducing Chainguard Factory 2.0 Is Software dead? Clouded Judgement 2.6.26 - Software Is Dead...Again...For Real this Time...Maybe? Anthropic's breakout moment: how Claude won business and shook markets Besieged The $285 Billion 'SaaSpocalypse' Is the Wrong Panic The "whole product" is more relevant than ever Cloud Earnings Microsoft Q2 earnings beat on top and bottom lines as cloud revenue tops $50 billion, but stock falls Microsoft stock plunges as Wall Street questions AI investments A day of reckoning for the AI boom Oracle says it plans to raise up to $50 billion in debt and equity this year Google Earnings Beat. Cloud Computing Momentum Builds Amid Spending Boom Amazon stock falls 10% on $200 billion spending forecast, earnings miss Amazon's $200 Billion Spending Plan Raises Stakes in A.I. Race [Follow the CAPEX: Cloud Table Stakes 2024 Retrospective](http://(https://platformonomics.com/2025/02/follow-the-capex-cloud-table-stakes-2024-retrospective/) Amazon Earnings, CapEx Concerns, Commodity AI Google's parent company raises billions of dollars in debt sale OpenAI Drama Amazon in Talks to Invest Up to $50 Billion in OpenAI The $100 Billion Megadeal Between OpenAI and Nvidia Is on Ice Sam Altman got exceptionally testy over Claude Super Bowl ads | TechCrunch OpenAI will reportedly start testing ads in ChatGPT today Relevant to your Interests Deploying Moltbot (Formerly Clawdbot) Apple tops Q1 earnings estimates on record-breaking iPhone sales Clouded Judgement 1.30.26 - Software is Dead...Again! Leaders, gainers, and unexpected winners in the Enterprise AI arms race All Enterprise software is dead The Dumbest Thing I've Seen This Week SpaceX acquires xAI in record-setting deal as Musk looks to unify AI and space ambitions AWS destiny: becoming the next Lumen CloudBees CEO: Why Migration Is a Mirage Costing You Millions Xcode 26.3 unlocks the power of agentic coding The world is trying to log off U.S. tech Anthropic's newest AI model uncovered 500 zero-day software flaws in testing DHH on OpenClaw Adam Jacob really likes AI code generation Cautionary Tales – The WOW Machine Stops (Part 2) Kyndryl Shares Halved Amid CFO Departure, Accounting Review Our $200M Series C / Oxide Presentations — Benedict Evans Matrix messaging gaining ground in government IT Hello Entire World · Entire Blog Former GitHub CEO raises record $60M dev tool seed round at $300M valuation From magic to malware: How OpenClaw's agent skills become an attack surface Nonsense What If the Sensors on Your Car Were Inspecting Potholes for the Government? Honda Found Out Superbowl Ad 404 Conferences DevOpsDay LA at SCALE23x, March 6th, Pasadena, CA Use code: DEVOP for 50% off. Devnexus 2026, March 4th to 6th, Atlanta, GA. Use this 30% off discount code from your pals at Tanzu: DN26VMWARE30. Check out the Tanzu and Spring talks and trading cards on THE LANDING PAGE. Austin Meetup, March 10th, Open Lakehouse and AI — Listener Steve Anness speaking KubeCon EU, March 23rd to 26th, 2026 - Coté will be there on a media pass. Devopsdays Atlanta 2026. April 21-22 VMware User Groups (VMUGs): Amsterdam (March 17-19, 2026) - Coté speaking. Minneapolis (April 7-9, 2026) Toronto (May 12-14, 2026) Dallas (June 9-11, 2026) Orlando (October 20-22, 2026) SDT News & Community Join our Slack community Email the show: questions@softwaredefinedtalk.com Free stickers: Email your address to stickers@softwaredefinedtalk.com Follow us on social media: Twitter, Threads, Mastodon, LinkedIn, BlueSky Watch us on: Twitch, YouTube, Instagram, TikTok Book offer: Use code SDT for $20 off "Digital WTF" by Coté Sponsor the show Recommendations Brandon: YouTube TV plans launch this week Matt: Send Help Steal Coté: AI, open source, talent, and more, live at cfgmgmtcamp 2026, with Andrew Clay Shafer Tapistry

 This week on the PHP Podcast, Eric and John talk about the new PHPC.tv, PHPTek talk, AIs talking to AIs, PHPUnit Office hours, AI Upset its PR wasn’t accepted, and more… Links from the show: phpc.tv PHP Tek 2026 – The Premier PHP Conference Two AI Agents start talking in a different language with each other – YouTube Sebastian Bergmann :phpunit:: “Here is the problem with most PHPUnit questions: …” – PHP Community on Mastodon Gatekeeping in Open Source: The Scott Shambaugh Story – MJ Rathbun | Scientific Coder Discord will require a face scan or ID for full access next month | The Verge Anders Eknert: “AI agent “contributes” PR to matplotlib. PR gets…” – Swedish Cybersecurity Community ElePHPant.me | The best place for your elePHPant collection Domain Driven PHP – YouTube The PHP Podcast streams live, typically every Thursday at 3 PM PT. Come join us and subscribe to our YouTube channel. X: https://x.com/phparch Mastodon: https://phparch.social/@phparch Bluesky: https://bsky.app/profile/phparch.com Discord: https://discord.phparch.com Subscribe to our magazine: https://www.phparch.com/subscribe/ Host: Eric Van Johnson X: @shocm Mastodon: @eric@phparch.social Bluesky: @ericvanjohnson.bsky.social John Congdon X: @johncongdon Mastodon: @john@phparch.social Bluesky: @johncongdon.bsky.social Streams: Youtube Channel Twitch Partner This podcast is made a little better thanks to our partners Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore CodeRabbit Cut code review time & bugs in half instantly with CodeRabbit. Honeybadger Honeybadger helps you deploy with confidence and be your team's DevOps hero by combining error, uptime, and performance monitoring in one simple platform. Check it out at honeybadger.io Music Provided by Epidemic Sound https://www.epidemicsound.com/ The post The PHP Podcast 2026.02.12 appeared first on PHP Architect.

Eric Anderson, partner at VC firm Scale, talks about why coding agents changed software forever and why the AI bubble can't be avoided. Eric worked on Spot Instances at AWS and data products at Google before becoming a VC. He explains how companies can still compete against Anthropic and OpenAI by staying laser-focused instead of fighting on every front.Corey and Eric discuss why AWS didn't kill all startups even when they launched competing products, why the AI bubble can't be avoided when companies go from $1 billion to $7 billion in revenue in one year, and why the best AI products don't scream “AI” everywhere in their marketing.Show Highlights:(02:30) Building Spot Instances at AWS(07:41) Why Coding Agents Changed Everything(10:35) Agents Doing Code Review Now(13:53) Competing with Frontier Labs(17:05) Why AWS Didn't Kill All Startups(19:01) Finding the Right Front to Fight On(22:20) Why the Bubble Is Inevitable(23:36) AI Pricing Will Eventually Crash(26:33) Honeycomb's AI Done Right(28:04) Where to Find EricLinks: Scale: https://www.scalevp.com/Eric on LinkedIn: https://www.linkedin.com/in/ericmand/Sponsored by: duckbillhq.com

On Cloud Realities, the real insight rarely came from technology alone, it emerged at the intersection of People, Culture, Industry, and Technology. In the remix we bring back familiar voices and topics while going deeper into the wider impacts, influence, and potential of today's tech across society. The 2026 season trailer, arriving a little later than planned, opens with this renewed focus and sets the stage for Episode 1, launching on February 19. Here's a quick trailer to get you ready!TLDR00:11 The emergence of insight from Cloud Realities01:00  Where the magic happens 01:42 The real impact on People, Culture, Industry and Tech HostsDave Chapman:  https://www.linkedin.com/in/chapmandr/Esmee van de Giessen:  https://www.linkedin.com/in/esmeevandegiessen/Rob Kernahan:  https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg:  https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman:  https://www.linkedin.com/in/chapmandr/ SoundBen Corbett:  https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:   https://www.linkedin.com/in/louis-corbett-087250264/ 'Realities Remixed' is an original podcast from Capgemini

Send a textAlarms go off, dashboards turn red, and leadership wants everything fixed yesterday—sound familiar? We dig into the real craft of vulnerability management: deciding what truly matters, when to defer safely, and how to protect customers while keeping the business moving. Along the way, we unpack the forces shaping 2025 security: AI-fueled threats, smarter cyber insurance, the edge of quantum risk, stricter privacy laws, and the rising stakes of DevOps security.We share a practical triage framework that goes beyond CVSS. Learn how to validate scanner noise, confirm versions, and use a second tool when the data looks off. When patching collides with uptime or legacy systems, we outline compensating controls that actually reduce exploitability—segmentation, allow-lists, credential tightening, and targeted monitoring—plus the documentation and triggers that prevent “temporary” exceptions from turning permanent. You'll hear how to communicate residual risk with time-bound plans and metrics leaders understand, from blast radius to downtime cost and insurance obligations.Ethical disclosure gets real, too. When a researcher's 30-day clock clashes with a 45-day fix, coordination beats confrontation. We talk through private progress updates, revised timelines, and interim mitigations that put users first. For vendors and open source, we highlight respectful escalation paths, legal prep, and why responsible disclosure typically reduces harm better than full, premature detail drops. In complex multi-cloud setups, we recommend assigning a cross-team coordinator who aligns priorities, patches the most exposed services first, and bakes checks into CI/CD so the next fix is faster.Subscribe for more CISSP-ready breakdowns, share this with a teammate who lives in the patch queue, and leave a review with your toughest triage scenario—we might feature it next.Gain exclusive access to 360 FREE CISSP Practice Questions at FreeCISSPQuestions.com and have them delivered directly to your inbox! Don't miss this valuable opportunity to strengthen your CISSP exam preparation and boost your chances of certification success. Join now and start your journey toward CISSP mastery today!

 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-hours Support the show

We’ve spent a decade figuring out how to (more or less) securely authenticate humans. Now AI agents are crashing the party, and identity just got a whole lot more complicated. Today we sit down with Dan Moore, Senior Director of CIAM Strategy and Identity Standards at FusionAuth, to explore the collision course between artificial intelligence... Read more »

Discover how Nasdaq uses data platforms at a massive scale to power markets and prepare for AI. Angie Ruan, Nasdaq's CTO of Capital Access Platforms, explains how large-scale data systems support market integrity, transparency, and decision-making across public and private markets. She defines what it really means to be AI-ready, how leaders should modernize data platforms, and how market fundamentals help separate real AI value from hype.Key Moments:Why Nasdaq Is More Than a Stock Exchange (06:10): Angie reframes Nasdaq as a global technology company rather than a traditional exchange, explaining how data, platforms, and engineering underpin trust, resilience, and transparency across public and private markets.The Scale of Market Data Powering the Global Financial System (11:15): Angie breaks down the massive scale of Nasdaq's data ecosystem, including hundreds of billions of market messages per day and platforms supporting more than $90 trillion in assets. She explains how data quality and reliability are foundational to market integrity and decision-making.Building a Unified Data Intelligence Platform at Nasdaq (16:35): Angie explains how Nasdaq approaches data architecture, governance, and platform design to create a unified data intelligence layer. She shares why access control, operational efficiency, and data trust matter more than raw data volume when enabling analytics and AI at scale.The AI-Ready Playbook for Data and AI Leaders (19:20): Drawing on her experience across startups and large enterprises, Angie outlines a practical framework for data and AI transformation. She emphasizes cloud adoption, breaking down silos, listening to business needs, and treating platform modernization as both a technical and organizational challenge.Is AI a Bubble? Using Market Data to Separate Hype from Reality (31:00): Angie applies a data-driven lens to the AI bubble debate, examining earnings growth, margins, return on equity, and capital investment. She explains why current financial indicators suggest today's AI moment differs fundamentally from past technology bubbles.Key Quotes:“ The foundation of any data strategy is actually cloud… If you don't put the data or the actual system in the cloud, it's much harder in terms of services and platform, let alone AI.” - Angie Ruan“Data is great, but the more important [thing]... is how we put it all together.” - Angie Ruan“ The world is going to change so fast… Being curious [and] continuing to learn, it is so important.” - Angie RuanMentionsInside the Invitation-Only Stock Market for the WealthyNasdaq eVestment: The Institutional Intelligence Platform Powering $90T+ in DecisionsGuest Bio Angie Ruan is the Chief Technology Officer, Capital Access Platforms at Nasdaq. An award-winning industry leader, Ms. Ruan holds four technical patents and has been instrumental in driving digital transformation across many industries, including enterprise application, e-commerce, payment, and capital markets. She most recently served as Vice President of Engineering at Chime before returning to Nasdaq where she was the Senior Vice President of Global Technology, responsible for overseeing the development of Key Market Technology Products and Corporate Platforms. Prior to joining Nasdaq, Ms. Ruan served as the Global Group Technology Vice President of consumer experiences and platform for American Express, where she was responsible for the digital transformation of American Express web and mobile technology. Before then, she was the Unit CIO for U.S. Consumer and U.S. Small Business, and was also Head of Engineering for Global PayPal Retail and Merchant product lines. As well, she held various executive engineering leadership roles at eBay including building the eBay messaging system, creating the eBay mobile platform, and transforming the DevOps organization.Recognized as one of Silicon Valley's Women of Influence, Ms. Ruan holds an M.S. in Computer Science from the University of California, Santa Barbara, and studied undergraduate in Computer Science at Tsinghua University of China. Hear more from Cindi Howson here. Sponsored by ThoughtSpot.

Multi-cloud used to be a dirty word — something that happened to you through mergers, shadow IT, or teams gone rogue with corporate cards. But the walls came down, the standards converged, and best-of-breed finally seemed within reach. Then AI arrived with a whole new layer of complexity.Or did it?In this episode, we explore how agentic AI might actually solve the thing that made multi-cloud hard in the first place. Three cloud experts—Jack French from World Wide Technology, Alex Kozaris from Softchoice's AWS practice, and Ron Espinosa from Softchoice's Google Cloud team—break down what's changed, what matters for mid-market teams, and why the "gold record" might finally be possible. Key Takeaways:• Why 90% of organizations are already multi-cloud (whether they planned to be or not)• How abstraction layers and platform engineering help smaller teams manage complexity• What each major cloud does best: AWS for builders, Microsoft for productivity, Google for data/AI• The compliance curve ball forcing some organizations into multi-cloud for AI governance• How agentic AI creates "connective tissue" that makes integration problems irrelevant Featuring:• Jack French, Senior Director of Cloud, World Wide Technology• Alex Kozaris, Public Cloud Leader for AWS, Softchoice• Ron Espinosa, Google Cloud Category Director, SoftchoiceThe Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

Founders often delay leadership coaching until a major crisis hits, leading to significant costs in productivity, team churn, and poor decisions. In this episode, James Birchler (Technical Advisor & Executive Leadership Coach) argues that early coaching is a game-changer for a startup's success. We explore the hidden costs of waiting and the benefits of intentionally installing leadership and communication systems before you scale. James shares specific self-awareness mechanisms, like advisory groups and feedback loops, to help founders design their day and create accountability. You'll also learn practical strategies like the "5-Minute Alignment Loop" for spotting communication breakdowns & for reinforcing clarity. Plus insights on how to "install your leadership OS" so it can scale with your company. ABOUT JAMES BIRCHLERJames Birchler is an executive leadership coach and technical advisor who specializes in helping engineering leaders and founders develop greater self-awareness and build high-performing teams. He combines deep technical expertise with practical leadership development, making him particularly valuable for technical leaders scaling their organizations.As both a founder and engineering leader, James has more than 20 years of experience leading teams at companies ranging from early-stage startups to Amazon, where his current role is Technical Advisor to the VP of Amazon Delivery Routing and Planning. Most recently, he founded NICER, a premium natural personal care company, and Actuate Partners, his executive coaching and technical advisory practice. He also held VP of Engineering roles at companies including Caffeine (backed by Greylock and Andreessen Horowitz), SmugMug (where his team acquired Flickr), and IMVU.At IMVU, James implemented the Lean Startup methodologies alongside Eric Ries, author of The Lean Startup and creator of the methodology, literally the first company to apply these principles. His team helped pioneer the DevOps movement by building infrastructure to ship code to production 50 times per day and coining the term "continuous deployment." This experience in systematic experimentation and continuous improvement now informs his coaching approach through frameworks like CAMS (Coaching, Advising, Mentoring, Supporting) and the Think-Do-Learn Loop.James completed his executive coaching certification at UC Berkeley Haas School of Business Executive Coaching Institute. His coaching practice focuses on self-awareness, integrity, accountability, and fostering growth mindsets that support continuous learning and high performance. He writes the Continuous Growth newsletter and offers both individual executive coaching and peer learning circles for technical leaders.Through his advisory work with growth-stage startups in the US and Europe, James helps leaders navigate common scaling challenges including hiring and interviewing, implementing development methodologies, establishing operational cadences, and developing other leaders. His approach treats leadership development like product development—with systematic feedback loops, measurable outcomes, and continuous improvement.You can find James at jamesbirchler.com, LinkedIn, and Substack. This episode is brought to you by Retool!What happens when your team can't keep up with internal tool requests? Teams start building their own, Shadow IT spreads across the org, and six months later you're untangling the mess…Retool gives teams a better way: governed, secure, and no cleanup required.Retool is the leading enterprise AppGen platform, powering how the world's most innovative companies build the tools that run their business. Over 10,000 organizations including Amazon, Stripe, Adobe, Brex, and Orangetheory Fitness use the platform to safely harness AI and their enterprise data to create governed, production-ready apps.Learn more at Retool.com/elc SHOW NOTES:Why founders should seek coaching earlier rather than waiting for a crisis to occur (2:45)The high stakes of ignoring this critical advice & how this leads to communication & scaling problems (4:50)The importance of effective communication channels & leadership mechanisms before pressure increases (6:12)How investing a small amount in coaching early on can prevent hundreds of thousands of dollars in future costs (8:07)Frameworks for cultivating self-awareness / leadership blind spots (11:06)James's practice of "designing your day" around a desired identity, not just a list of tasks (12:30)Why designing your day is about intentionality (15:13)How this practice leads to better relationships & opportunities to reflect (17:44)Reflective listening & its impact on customer relationships (19:32)Strategies for improving self-awareness / uncovering blind spots (22:05)An example of how awareness can lead to better results  (26:03)Day-to-day rituals for improving self-awareness (28:14)Signals that your communication methods are effective & getting through (30:37)Reflect on & define the desired outcome you want to generate (33:26)The five-minute alignment loop for creating clarity & confirming ownership as a leader (35:21)Why creating clarity & finding alignment is key as a founder (37:02)How the same communication & leadership patterns recur as your org scales, from small startup to large enterprise (39:46)The increasing importance of human skills like emotional intelligence and reflective listening in an age of AI (42:03)Rapid fire questions (44:38)This episode wouldn't have been possible without the help of our incredible production team:Patrick Gallagher - Producer & Co-HostJerry Li - Co-HostNoah Olberding - Associate Producer, Audio & Video Editor https://www.linkedin.com/in/noah-olberding/Dan Overheim - Audio Engineer, Dan's also an avid 3D printer - https://www.bnd3d.com/Ellie Coggins Angus - Copywriter, Check out her other work at https://elliecoggins.com/about/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

AWS Morning Brief for the week of February 9th, with Corey Quinn. Links:Change the server-side encryption type of Amazon S3 objectsAnnouncing memory-optimized instance bundles for Amazon LightsailAmazon RDS now provides an enhanced console experience to connect to a databaseAWS Multi-party approval now requires one-time password verification for votingAWS Management Console now displays Account Name on the Navigation barStructured outputs now available in Amazon BedrockAmazon EC2 C8id, M8id, and R8id instances with up to 22.8 TB local NVMe storage are generally available AWS IAM Identity Center now supports multi-Region replication for AWS account access and application useTrigger AWS Lambda functions from Amazon RDS for SQL Server database eventsAmazon CloudFront now supports mTLS authentication to originsBevar Ukraine: Empowering Ukrainian refugees with AI-powered support on AWSSecurity Findings in SageMaker Python SDK

Cloud bills are climbing, AI pipelines are exploding, and storage is quietly becoming the bottleneck nobody wants to own. Ugur Tigli, CTO at MinIO, breaks down what actually changes when AI workloads hit your infrastructure, and how teams can keep performance high without letting costs spiral. In this conversation, we get practical about object storage, S3 as the modern standard, what open source really means for security and speed, and why “cloud” is more of an operating model than a place. Key takeaways• AI multiplies data, not just compute, training and inference create more checkpoints, more versions, more storage pressure • Object storage and S3 are simplifying the persistence layer, even as the layers above it get more complex • Open source can improve security feedback loops because the community surfaces regressions fast, the real risk is running unsupported, outdated versions • Public cloud costs are often less about storage and more about variable charges like egress, many teams move data on prem to regain predictability • The bar for infrastructure teams is rising, Kubernetes, modern storage, and AI workflow literacy are becoming table stakes Timestamped highlights00:00 Why cloud and AI workloads force a fresh look at storage, operating models, and cost control 00:00 What MinIO is, and why high performance object storage sits at the center of modern data platforms 01:23 Why MinIO chose open source, and how they balance freedom with commercial reality 04:08 Open source and security, why faster feedback beats the closed source perception, plus the real risk factor 09:44 Cloud cost realities, egress, replication, and why “fixed costs” drive many teams back inside their own walls 15:04 The persistence layer is getting simpler, S3 becomes the standard, while the upper stack gets messier 18:00 Skills gap, why teams need DevOps plus AIOps thinking to run modern storage at scale 20:22 What happens to AI costs next, competition, software ecosystem maturity, and why data growth still wins A line worth keeping“Cloud is not a destination for us, it's more of an operating model.” Pro tips for builders and tech leaders• If your AI initiative is still a pilot, track egress and data movement early, that is where “surprise” costs tend to show up • Standardize around containerized deployment where possible, it reduces the gap between public and private environments, but plan for integration friction like identity and key management • Treat storage as a performance system, not a procurement line item, the right persistence layer can unblock training, inference, and downstream pipelines What's next:If you're building with AI, running data platforms, or trying to get your cloud costs under control, follow the show and subscribe so you do not miss upcoming episodes. Share this one with a teammate who owns infrastructure, data, or platform engineering.

David Starr is the President and Founder of Cumulus26, which helps companies succeed in the Microsoft Azure Marketplace and other facets of Azure. He's had a multi-decade career at Microsoft, Godaddy and others in senior technical leadership roles. He's spoken at industry conferences and delivered technical training courses and many other things. Mentioned In This Episode Episode 311  Episode 149 LinkedIn Making HIPAA and HITRUST compliance easier Azure for Executives Elegant Code Elegant Coder X Account  Plural Sight Plural Sight Course Mastering the Marketplace Episode 99 Cumulus26 AmpUp - for Microsoft Markeplace  Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

What really happens when AI helps teams write code faster, but everything else in the delivery process starts to slow down? In this episode of Tech Talks Daily, I'm joined once again by returning guest and friend of the show, Martin Reynolds, Field CTO at Harness. It has been two years since we last spoke, and a lot has changed since then. Martin has relocated from London to North Carolina, gaining back hours of his working week. Still, the bigger shift has been in how AI is reshaping software delivery inside modern enterprises. Our conversation centers on what Martin calls the AI velocity paradox. Development teams are producing more code at speed, often thanks to AI coding agents, yet testing, security, governance, and release processes are struggling to keep up. The result is a growing gap between how fast software is written and how safely it can be delivered.  Martin shares research showing how this imbalance is already leading to production incidents, hidden vulnerabilities, and mounting technical debt. We also dig into why this AI-driven transition feels different from previous waves, such as cloud, mobile, or DevOps. Many of the same concerns around security, trust, and control still exist, but this time, everything is happening far faster. Martin explains why AI works best as a human amplifier, strengthening good engineering practices while exposing weak ones sooner than ever before. A significant theme in the episode is visibility. From shadow AI usage to expanding attack surfaces, Martin outlines why security teams are finding it harder to see where AI is being used and how data is flowing through systems. Rather than slowing teams down, he argues that the answer lies in embedding governance directly into delivery pipelines, making security automatic rather than an afterthought. We also explore the rise of agentic AI in testing, quality assurance, and security, where specialized agents act like virtual teammates. When well-designed, these agents help developers stay focused while improving reliability and resilience throughout the lifecycle. If you are responsible for engineering, platform, or security teams, this episode offers a grounded look at how to balance speed with responsibility in an AI-native world. As AI becomes part of every stage of software delivery, are your processes designed to safely absorb that change, or are they quietly becoming the bottleneck? Useful Links Learn More About Harness The State of AI in Engineering The State of AI Application Security EngineeringX Follow Harness on LinkedIn Connect With Martin Reynolds Thanks to our sponsors, Alcor, for supporting the show.

he podcast dives into the explosive advances in agentic AI, where developers and even Fortune 100 companies are racing to use powerful tools like Gastown, despite their unfinished and sometimes dangerous edges. If you thought ChatGPT was a revolution, wait until you hear how developers are orchestrating armies of AIs with real-world impact. Anthropic's Move Into Legal Is Sinking Data Services Stocks Data centers in space makes no sense The hitchhiker's guide to Musk's SpaceX memo Two kinds of AI users are emerging. The gap between them is astonishing. Does AI already have human-level intelligence? The evidence is clear - Nature OpenAI will retire several models, including GPT-4o, from ChatGPT next month Jensen Huang says Nvidia would love to back an OpenAI IPO, and there's 'no drama' with Sam Altman Firefox will soon let you block all of its generative AI features Salesforce signs $5.6B deal to inject agentic AI into the US Army HHS Is Making an AI Tool to Create Hypotheses About Vaccine Injury Claims French office of Elon Musk's X raided by Paris prosecutor's cybercrime unit An AI Toy Exposed 50K Logs of Its Chats With Kids To Anyone With a Gmail Account Darren Aronofsky's AI Studio Used Artificial Intelligence Tools for Revolutionary War Animated Series — but Hired Human Actors to Voice Founding Fathers Forget Hinge or Bumble. This App Promises a Personal AI Matchmaker Scientists Launch AI DinoTracker App That Identifies Dinosaur Footprints Project Genie: Experimenting with infinite, interactive worlds Anthropic Takes Aim at OpenAI's ChatGPT in Super Bowl Ad Debut Move to Ban Social Media for Kids Gains Traction in Europe The Matrix Resurrections Is a Messy, Imperfect Triumph The Thatcher Effect and other Optical Toys Fascinating Research: AIs are highly inconsistent [i.e., random] when recommending brands or products Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steve Yegge Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT monarch.com with code IM zscaler.com/security helixsleep.com/machines

he podcast dives into the explosive advances in agentic AI, where developers and even Fortune 100 companies are racing to use powerful tools like Gastown, despite their unfinished and sometimes dangerous edges. If you thought ChatGPT was a revolution, wait until you hear how developers are orchestrating armies of AIs with real-world impact. Anthropic's Move Into Legal Is Sinking Data Services Stocks Data centers in space makes no sense The hitchhiker's guide to Musk's SpaceX memo Two kinds of AI users are emerging. The gap between them is astonishing. Does AI already have human-level intelligence? The evidence is clear - Nature OpenAI will retire several models, including GPT-4o, from ChatGPT next month Jensen Huang says Nvidia would love to back an OpenAI IPO, and there's 'no drama' with Sam Altman Firefox will soon let you block all of its generative AI features Salesforce signs $5.6B deal to inject agentic AI into the US Army HHS Is Making an AI Tool to Create Hypotheses About Vaccine Injury Claims French office of Elon Musk's X raided by Paris prosecutor's cybercrime unit An AI Toy Exposed 50K Logs of Its Chats With Kids To Anyone With a Gmail Account Darren Aronofsky's AI Studio Used Artificial Intelligence Tools for Revolutionary War Animated Series — but Hired Human Actors to Voice Founding Fathers Forget Hinge or Bumble. This App Promises a Personal AI Matchmaker Scientists Launch AI DinoTracker App That Identifies Dinosaur Footprints Project Genie: Experimenting with infinite, interactive worlds Anthropic Takes Aim at OpenAI's ChatGPT in Super Bowl Ad Debut Move to Ban Social Media for Kids Gains Traction in Europe The Matrix Resurrections Is a Messy, Imperfect Triumph The Thatcher Effect and other Optical Toys Fascinating Research: AIs are highly inconsistent [i.e., random] when recommending brands or products Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steve Yegge Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT monarch.com with code IM zscaler.com/security helixsleep.com/machines

he podcast dives into the explosive advances in agentic AI, where developers and even Fortune 100 companies are racing to use powerful tools like Gastown, despite their unfinished and sometimes dangerous edges. If you thought ChatGPT was a revolution, wait until you hear how developers are orchestrating armies of AIs with real-world impact. Anthropic's Move Into Legal Is Sinking Data Services Stocks Data centers in space makes no sense The hitchhiker's guide to Musk's SpaceX memo Two kinds of AI users are emerging. The gap between them is astonishing. Does AI already have human-level intelligence? The evidence is clear - Nature OpenAI will retire several models, including GPT-4o, from ChatGPT next month Jensen Huang says Nvidia would love to back an OpenAI IPO, and there's 'no drama' with Sam Altman Firefox will soon let you block all of its generative AI features Salesforce signs $5.6B deal to inject agentic AI into the US Army HHS Is Making an AI Tool to Create Hypotheses About Vaccine Injury Claims French office of Elon Musk's X raided by Paris prosecutor's cybercrime unit An AI Toy Exposed 50K Logs of Its Chats With Kids To Anyone With a Gmail Account Darren Aronofsky's AI Studio Used Artificial Intelligence Tools for Revolutionary War Animated Series — but Hired Human Actors to Voice Founding Fathers Forget Hinge or Bumble. This App Promises a Personal AI Matchmaker Scientists Launch AI DinoTracker App That Identifies Dinosaur Footprints Project Genie: Experimenting with infinite, interactive worlds Anthropic Takes Aim at OpenAI's ChatGPT in Super Bowl Ad Debut Move to Ban Social Media for Kids Gains Traction in Europe The Matrix Resurrections Is a Messy, Imperfect Triumph The Thatcher Effect and other Optical Toys Fascinating Research: AIs are highly inconsistent [i.e., random] when recommending brands or products Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steve Yegge Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT monarch.com with code IM zscaler.com/security helixsleep.com/machines

Quality of Service (QoS) is a huge topic with a punishingly large group of acronyms. Join Ethan and Holly as they help you build a mental framework of what QoS is and what it solves. Not only do they break down essential acronyms, they also discuss QoS fundamentals, define the major groups of QoS tools,... Read more »

Chase Douglas, CEO at Archodex, talks about AI security problems and why re:Invent has become a nightmare. Chase helps companies capture every AI interaction so they don't get in trouble with compliance. Corey and Chase discuss Shadow AI, why Corey runs Claude Code in an account called “Superfund,” and how re:Invent put metal spikes on benches so people couldn't sit down. They also talk about why AWS released fewer announcement than before, and why Chase is finally optimistic about AI coding tools after months of frustration.Show Highlights: (01:51) What Archodex Does(07:00) The Superfund Account for AI(08:19) Shadow AI Problem(11:41) What Happened at re:Invent (14:59) Sponsorship Costs at re:Invent(17:00) Metal Spikes on Benches(21:39) AWS Releases Declining (25:24) Why Chase Is Finally Optimistic About AI Coding(27:13) Code Review Changed with AI(31:22) Where to Find ChaseLinks: Archodex: https://archodex.comLinkedIn: https://www.linkedin.com/in/chasedouglas/Sponsored by: duckbillhq.com

he podcast dives into the explosive advances in agentic AI, where developers and even Fortune 100 companies are racing to use powerful tools like Gastown, despite their unfinished and sometimes dangerous edges. If you thought ChatGPT was a revolution, wait until you hear how developers are orchestrating armies of AIs with real-world impact. Anthropic's Move Into Legal Is Sinking Data Services Stocks Data centers in space makes no sense The hitchhiker's guide to Musk's SpaceX memo Two kinds of AI users are emerging. The gap between them is astonishing. Does AI already have human-level intelligence? The evidence is clear - Nature OpenAI will retire several models, including GPT-4o, from ChatGPT next month Jensen Huang says Nvidia would love to back an OpenAI IPO, and there's 'no drama' with Sam Altman Firefox will soon let you block all of its generative AI features Salesforce signs $5.6B deal to inject agentic AI into the US Army HHS Is Making an AI Tool to Create Hypotheses About Vaccine Injury Claims French office of Elon Musk's X raided by Paris prosecutor's cybercrime unit An AI Toy Exposed 50K Logs of Its Chats With Kids To Anyone With a Gmail Account Darren Aronofsky's AI Studio Used Artificial Intelligence Tools for Revolutionary War Animated Series — but Hired Human Actors to Voice Founding Fathers Forget Hinge or Bumble. This App Promises a Personal AI Matchmaker Scientists Launch AI DinoTracker App That Identifies Dinosaur Footprints Project Genie: Experimenting with infinite, interactive worlds Anthropic Takes Aim at OpenAI's ChatGPT in Super Bowl Ad Debut Move to Ban Social Media for Kids Gains Traction in Europe The Matrix Resurrections Is a Messy, Imperfect Triumph The Thatcher Effect and other Optical Toys Fascinating Research: AIs are highly inconsistent [i.e., random] when recommending brands or products Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Steve Yegge Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: joindeleteme.com/twit promo code TWIT monarch.com with code IM zscaler.com/security helixsleep.com/machines

Ned and Kyler sit down with Tikhon Jelvis to discuss Haskell and other niche programming languages. They explore how this decades-old language isn't just surviving, but thriving. They also break down how Haskell can provide distinct advantages over traditional programming, especially for complex domain modeling and concurrent applications. Episode Links: Copilot Language Haskell Project Haskell... Read more »

Ned and Kyler sit down with Tikhon Jelvis to discuss Haskell and other niche programming languages. They explore how this decades-old language isn't just surviving, but thriving. They also break down how Haskell can provide distinct advantages over traditional programming, especially for complex domain modeling and concurrent applications. Episode Links: Copilot Language Haskell Project Haskell... Read more »

The way organizations think about artificial intelligence (AI) in the workplace has shifted dramatically over the past few years. While early conversations centered on isolated experiments and technological hype, organizations now face the much harder task of integrating AI into the fabric of how work gets done. We welcome Melissa Reeve, author of “Hyper Adaptive: Rewiring the Enterprise to Become AI Native,” to discuss what AI adoption really means for people, processes, and culture.Melissa tackles some tough questions about organizational complexity, shifting operating models, and the critical role of culture and systems thinking in successful AI integration. Listeners will get candid advice on starting small, experimenting with purpose, and preparing for the rewiring ahead. You will want to hear this episode if you are interested in...03:38 Integrating AI into organizations12:47 AI Native enterprise structure15:51 Dynamic AI governance framework18:58 AI implementation foundations23:56 Process mapping for AI integration29:44 Balancing efficiency and leadership focus37:02 Start small with value streams40:59 Innovative organizational funding models42:14 Starting a skills-focused organization47:03 Digital Twins in Product TestingNavigating the AI Revolution at WorkMelissa Reeve's journey began on the factory floors of Toyota, learning firsthand how small process shifts can drive system-wide change. Building on years of research and influence from Lean, Agile, and DevOps practitioners, Reeve authored a five-stage maturity model she calls hyperadaptive, designed to guide organizations through the incremental steps needed to become truly AI-native.The five stages of Melissa's model:Foundation – Build organizational understanding of AI; create dynamic governance structures and clarify guardrails. Optimization – Identify and optimize business processes for AI interactions; move beyond basic experimentation. Agents & Automation – Develop and manage AI agents that execute tasks and processes autonomously. Rewiring – Shift organizational architecture from rigid hierarchies to flexible, value-stream teams funded and incentivized differently. Hyperadaptive – Fully sense-and-respond organizations capable of real-time adaptation.Melissa splits these into two main categories: Basecamp (the first three stages, where most companies currently operate) and the Emerging Frontier (rewiring and hyper adaptivity).Why Organizations Struggle with AI IntegrationAccording to Melissa, most organizations are stuck because they underestimate the support structures required for successful AI adoption. It's not just about updating technology, in fact, 70-80% of AI success depends on people, culture, and processes, not algorithms. Companies often rush to deploy AI agents or experiment without a clear North Star, leading to pilot fatigue and an 80% failure rate. Many organizations haven't even finished laying the foundational groundwork, such as establishing unified governance or mapping work processes.Another common pitfall is the tendency to try everything at once. Pressure for fast results drives teams to bite off too much, resulting in burnout and costly errors.Moving from Experimentation to Purposeful TransformationPlaying with AI is not a strategy. While experimentation is necessary, organizations must put bounds on these efforts, know why they're experimenting, what hypothesis they're testing, and what success will look like.One necessary precursor is getting to grips with how your organization actually works. Many leaders lack visibility into workflows, decisions, and skillsets, making process optimization difficult. Reeve suggests collaborative process mapping—sometimes supported by AI tools—to unlock tacit knowledge and identify where AI can augment or reinvent workflows.Organizing Around Value StreamsOne of the most transformative elements is the shift from function-based silos to cross-functional value stream teams. Melissa draws on examples from Toyota, Zappos, and Unilever—organizations that reimagine workflows, funding mechanisms, and team incentives to deliver value rather than preserve hierarchy. Dynamic budgeting, focused experimentation, and flexible team structures help organizations scale AI success without tearing up everything at once.Culture, Upskilling, and Durable SuccessAI's impact will be decided by how well organizations invest in people. Unilever's Future Fit program exemplifies this approach, aligning reskilling efforts to individual purpose and business needs. It's not algorithms that set successful organizations apart, but their ability to create cultures and support systems that empower people to adapt, reinvent themselves, and thrive amidst change.Start small, experiment with purpose, invest in support structures, and prepare to rewire not just technology, but how your organization thinks about work itself. AI may be the catalyst, but people, empowered and organized around value, are the key to lasting transformation. Resources & People MentionedHyperadaptive: Rewiring the Enterprise to Become AI-Native Connect with Melissa ReeveMelissa M. Reeve on LinkedIn Connect With Red Thread ResearchWebsite: Red Thread ResearchOn LinkedInOn FacebookOn TwitterSubscribe to WORKPLACE STORIES

What powers the infrastructure behind your favorite Web3 protocols? In this episode, I chat with Simon from Keeper Hub—an open-source platform that automates smart contract workflows and monitors wallets. We dive deep into the invisible backbone of crypto: DevOps. From saving 30% in gas fees to building AI-driven automations, Simon shares how Keeper Hub is quietly revolutionizing how developers build in Web3. If you've ever overlooked DevOps, this episode will change your mind.⏱️ Key Takeaways with Timestamps[00:41] Simon's journey from Linux tinkerer to DevOps in crypto[03:58] Origin of Keeper Hub from MakerDAO days[06:03] What Keeper Hub actually does: automation and monitoring[07:37] Real-world savings: 30% gas fee optimization[09:14] AI's impact on the developer landscape[13:03] Why DevOps is the invisible hero in Web3[17:16] Biggest misconception about DevOps[19:03] Workflows in Keeper Hub: "Zapier for Web3"[22:15] Spotlight on Tempo and the stablecoin narrative[25:00] Could 402X standards replace Stripe?[27:35] AI trends to watch in 2026[30:33] Why community is key in crypto[34:10] Keeper Hub's roadmap and how you can get involvedConnect with KeeperHubWebsite: https://keeperhub.com/Platform: https://app.keeperhub.com/YouTube:  https://www.youtube.com/@KeeperHubX (Twitter):  https://x.com/KeeperHubAppGitHub:  https://github.com/techops-services/keeperhubDiscord: https://discord.gg/G2sbPd46Rs⚠️ DisclaimerNothing mentioned in this podcast is investment advice and please do your own research.It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.Be a guest on the podcast or contact us - https://www.web3pod.xyz/

In this "WordPress SEO vs. Webflow SEO Comparisons: Website Development Tutorial + Checklist" podcast episode, host Favour Obasi-ike leads a detailed discussion comparing two popular website development platforms: WordPress and Webflow. The conversation delves into the critical aspects of choosing a content management system (CMS), including setup, design, maintenance, and search engine optimization (SEO). A key segment features a real-world account from a participant, Ryan, who shares his recent struggles with a significant Google algorithm update that drastically impacted his website's traffic and revenue. The episode provides a balanced view of both platforms, highlighting their respective strengths and weaknesses to help listeners make an informed decision based on their specific business needs, technical expertise, and long-term goals.Need to Book SEO Services for your Social Business?>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a Complimentary SEO Discovery Call with Favour Obasi-Ike⁠>> Visit Work and PLAY Entertainment website to learn about our digital marketing services>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Join our exclusive SEO Marketing community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Read SEO Articles>> ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Subscribe to the We Don't PLAY Podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠>> Purchase Flaev Beatz Beats Online>> Favour Obasi-ike Quick LinksKey Learning TopicsCMS Platform ComparisonAn in-depth analysis of WordPress and Webflow, covering ease of use, customization options, and built-in features. The discussion emphasizes that the best choice depends on the project's specific requirements and the user's technical comfort level.SEO Strategy and ImplementationThe episode explores how SEO is handled on both platforms, from WordPress plugins like Yoast and Rank Math to Webflow's integrated SEO tools. It stresses that while platforms provide tools, a successful SEO strategy relies on consistent effort and quality content.Impact of Google UpdatesListeners will learn about the real-world consequences of Google's algorithm changes, including the importance of continuous link building, content updates, and monitoring search engine results pages (SERPs).Website InfrastructureThe conversation covers the technical aspects of hosting and infrastructure, contrasting the self-hosted nature of WordPress with the managed hosting provided by Webflow. This includes considerations of scalability, performance, and DevOps.Analytics and TrackingThe importance of comprehensive analytics is highlighted, going beyond basic platform-specific metrics to include tracking AI mentions and utilizing tools like Google Search Console to gain a deeper understanding of website performance.Timestamps[00:00] Introduction: WordPress vs. Webflow[03:37] Google Algorithm Update Discussion with Ryan[07:00] SEO Strategy & The Importance of Backlinks[20:00] Comparing Platform-Specific Features[26:00] Hosting, Infrastructure, and Scalability[32:00] WordPress's Dominance in the Market[38:00] Technical Requirements and Maintenance[47:00] Integrating Email Marketing with Flowdesk[50:00] The Future of Analytics and AI Tracking[56:00] Best Practices for Website Development[72:30] Closing Remarks and Preview of Next EpisodeFrequently Asked Questions (FAQs)1. Which platform is better for a beginner with no coding experience?Webflow is generally considered more beginner-friendly due to its visual editor and managed hosting, which simplifies the setup and maintenance process. WordPress, while powerful, has a steeper learning curve and requires more hands-on management of hosting, plugins, and security.2. Can I achieve good SEO results on both WordPress and Webflow?Yes, both platforms offer robust tools to implement a strong SEO strategy. The key to success is not the platform itself, but the consistent application of SEO best practices, such as creating high-quality content, building quality backlinks, and optimizing for relevant keywords.3. How important are plugins for a WordPress site?Plugins are essential for extending the functionality of a WordPress site. They can add features for SEO, e-commerce, security, and more. However, it is crucial to use well-coded plugins from reputable sources, as an excessive number of plugins or poorly-coded ones can slow down your website and create security vulnerabilities.4. What are the main cost differences between WordPress and Webflow?Webflow operates on a subscription model with different pricing tiers based on features and traffic. WordPress is open-source and free to use, but you will incur costs for hosting, domain registration, premium themes, and plugins. The total cost for a WordPress site can vary widely depending on your specific needs.5. What was the key takeaway from Ryan's experience with the Google update?The main lesson from Ryan's story is that SEO is an ongoing process. Relying on past success without continuous effort in link building, content creation, and technical updates can leave a website vulnerable to algorithm changes. It highlights the importance of staying proactive and adaptable in your SEO strategy.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.