Podcasts about aws

【主なニュース】▽自民・維新 連立政権樹立で正式合意 両党首が文書に署名　▽アマゾンのクラウドサービス「AWS」で障害発生　▽盛岡中心部 クマ目撃相次ぐ 官庁街で2頭歩く姿も 注意呼びかけ　など

What if the real breakthrough in AI isn't the model itself, but the data that gives it knowledge? In this episode of Tech Talks Daily, I sit down with Edo Liberty, founder and Chief Scientist of Pinecone, to unpack how vector databases have quietly become the backbone of modern AI infrastructure. We explore why retrieval-augmented generation (RAG) works so effectively out of the box, and why fine-tuning large models often adds complexity without real-world value. Edo shares how Pinecone's research revealed that different models—from OpenAI to Anthropic—require differently structured context to perform well, a discovery that's reshaping how enterprises think about AI implementation. As the former Director of Research at Yahoo and AWS, Edo offers a grounded perspective on where the real innovation is happening. He explains how the shift from traditional data structures to vector representations is redefining how machines “know” and retrieve information, creating smarter, context-aware systems. We also touch on his recent transition to Chief Scientist, his excitement for returning to hands-on research, and why he believes the convergence of AI and data represents the defining technological shift of our lifetime. So, what does it mean for developers, business leaders, and anyone building with AI when knowledge becomes an accessible layer of infrastructure? Can we build systems that truly “know” as humans do? Join the conversation, and after listening, I'd love to hear your thoughts—do you think the future of AI lies in the models or in the data that feeds them?

Deana Solis, 2022 FinOps Foundation Evangelist of the Year, joins Corey Quinn to discuss her winding career path from electrical engineering to healthcare IT to FinOps. She shares why certifications are "largely performative," warns that AI can turn your AWS bill into "a telephone number," and explains why NAT Gateway costs hit everyone from hobbyists to enterprises. The episode covers cloud repatriation conspiracy theories, translating between engineering and finance teams, and why good FinOps work is really just getting humans in a room to talk.Show Highlights: (02:36) FinOps Foundation (03:15) FinOps as Marriage Counseling Between Engineering and Finance(06:00) Deana's Journey From Electrical Engineering to FinOps(12:41) The Performative Nature of Certifications(16:22) AI as Both a Threat and Tool in FinOps(20:41) Why AI Is Flooding the Job Market with Noise(25:09) Why FinOps Is Never Boring Despite Sounding Like It(29:10) The NAT Gateway Problem(33:09) The Generational Divide in Cloud Platform Preferences(37:23) Stay In Contact With Deana SolisAbout Deana Solis: Deana Solis is a senior FinOps engineer with more than 20 years of infrastructure management experience. Recognized as the FinOps Evangelist of the Year by the FinOps Foundation in 2022, she has become a leading voice in driving cloud financial accountability and culture.Beyond her technical expertise, Deana is passionate about humanizing technology. She serves as a FinOps Foundation ambassador and mentor, using her voice to elevate Women in FinOps and underrepresented folks in technology.Her unique journey, from electrical engineering to liberal studies to FinOps, embodies both analytical rigor and emotional intelligence. Deana isn't just shaping the way organizations think about cloud costs; she's helping reshape the culture of technology itself.Sponsor: https://www.wiz.io/

Industry leaders from Coder, Scale AI, and Suger reveal why 95% of AI pilots fail—and share the frameworks that actually work to get agents into production.Topics Include:Panel features leaders from Coder, Scale AI, and Suger discussing agentic AI.MIT report reveals 95% of AI pilots fail to reach production.Challenges are rarely technical—they're organizational, mindset, and people-driven instead.Companies lack documented tribal knowledge needed to train agents effectively.Many organizations attempt AI where deterministic, rules-based automation would work better."Freestyle agents" concept: Some problems shouldn't be solved by agents at all.Regulated industries struggle when asking agents to handle highly differentiated, complex tasks.Common mistakes: building one universal agent or separate agents for every use case.Post-billing workflows and business-critical operations aren't ready for AI's black box.VCs pressure companies to define "AI-native"—but nobody has clear answers yet.Scale AI uses five maturity levels; Coder uses three tiers for adoption.Success metrics span operational readiness, business impact, and technology performance indicators.Production requires data governance, context, A/B testing, and robust fallback mechanisms.Even Anthropic uses agents conservatively: research tasks and log triage, no write-access.Path to 50% success requires agile frameworks, people change, and proper AI talent.Participants:Ben Potter - VP of Product, CoderRaviteja Yelamanchili - Head of Solutions Engineering, Scale AIJon Yoo - CEO, SugerAdam Ross - US, Partner Sales Sr. Leader, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In 'Access All Areas' shows we go behind the scenes with the crew and their friends as they dive into complex challenges that organisations face—sometimes getting a little messy along the way. We're launching a special AI mini-series exploring how artificial intelligence is reshaping industries. Each episode dives into key themes like scaling AI, societal impact, leadership, sustainability, and the challenges ahead. Join us for fresh insights and bold conversations on the future of intelligent systems.  This week, Dave, Esmee, and Rob kick off the AI mini-series with Craig Suckling, CAIO at Capgemini and co-host of this special edition. The episode is inspired by “Riding the AI Whirlwind,” Gartner's 2025 strategic predictions report, which urges organizations to act boldly on AI's potential while managing risks like rising costs and privacy concerns  TLDR:00:40 – Introduction of Craig Suckling and launch of the AI mini-series02:38 – Summary of three key insights and strategic recommendations from Gartner's “Riding the AI Whirlwind” report23:03 – Strategic planning assumptions: what they mean for business and tech leaders41:40 – Sam Altman's top three concerns about the future of AI49:35 – What key topics remain unaddressed?51:00 – What to expect from the AI mini-series featuring industry leadersHostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/with co-host Craig Suckling: https://www.linkedin.com/in/craigsuckling/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/ 'Cloud Realities' is an original podcast from Capgemini

Michael Reid went from studying aerospace engineering to becoming CEO at Megaport, a global network-as-a-service platform. How did he get there, and what can we learn from his journey? We walk his career path, including a pivotal role scaling ThousandEyes from 74 million to over 2.4x ARR post-acquisition, and how those experiences shaped his approach to... Read more »

We're joined by Deepak Singh from the Kiro team. Kiro is AWS's attempt at building an AI coding environment to take you from prototype to production. It does that by bringing structure to your agentic workflow with spec-driven development. Their aim: the flow of AI coding, leveled up with mature engineering practices.

Coralogix CEO Ariel Assaraf reveals how their observability lake lets companies own their data, reduce costs, and use AI agents to transform monitoring into actionable business intelligence.Topics Include:Coralogix solves observability scaling issues: tool disparity, sprawling costs, limited control.Streama parses data pre-ingestion; DataPrime queries directly on customer's own S3 buckets.AI will generate massive unstructured data, making observability challenges exponentially worse.CTOs should ask: Can observability data drive business decisions beyond just monitoring?Observability lake lets you own data in open format versus vendor lock-in.OLLI designed as research engine, not another natural language database interface.Ask business questions like "What's customer experience today?" instead of technical queries.Trading platform unified tools, reduced resolution time 6x, now uses for business intelligence.Future: Multiple AI personas, automated investigations, hypothesis-driven alerts without human prompting.AWS partnership enables S3 innovation, Bedrock models, and strong co-sell growth motion.Data sovereignty solved: customers control their S3, remove access anytime, own encryption.Business data experience will match consumer AI tools within two years fundamentally.Participants:Ariel Assaraf – Chief Executive Officer, CoralogixBoaz Ziniman – Principal Developer Advocate - EMEA, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

In today's Cloud Wars Minute, sponsored by CLOUDVICE, I explore how Oracle's new CEOs, Mike Sicilia and Clay Magouyrk, are steering the company deeper into the AI revolutionHighlights00:00 — Today's episode is brought to you by CloudVice, winner of the 2025 Oracle North America Technology and Cloud AI Innovation Partner Award. “We're honored to receive the 2025 Oracle North America Technology & Cloud AI Innovation Partner Award, a recognition that underscores CLOUDVICE's unwavering commitment to advancing enterprise AI on Oracle Cloud,” said Jaison Correya, CEO of CLOUDVICE. “This achievement reflects the breakthrough projects and real-world transformations we've delivered with Oracle — and at Oracle AI World 2025, we took that vision even further by unveiling CORX, our next-generation platform where AI thinks, Cloud scales, Blockchain verifies, and Robotics acts. It represents the next leap in intelligent automation and the future of real-world autonomy."00:25 — So, we're beginning to hear the strategies Oracle's two new CEOs are taking. That's Mike Sicilia and Clay Magouyrk. It's clear they think that Oracle's supremacy in data and infrastructure is going to make them successful in AI — to the point that their main focus is: how do we drive great customer outcomes using AI services?01:20 — And Oracle's plan, which they've been talking about a little bit and will unveil this week in much more detail, is that while LLMs currently work with public internet data, they're going to make available — very securely, privately, and with all requisite compliance — enterprise data that also can be accessed by those LLMs.02:21 — Clay Magouyrk talked a bit about the work Oracle has done to reach the point where its infrastructure is seen as superior. Magouyrk said that inside Oracle, the idea came up — “What if we shrunk the cloud down to a very tiny size? Could we get better performance, and could we give more deployment options to customers?” — it turned out that was exactly the case.03:28 — This week at Oracle AI World, they're going to introduce a new cloud bundle that has three racks — from 40 to three. Also, the stunning multicloud agreements that Oracle has reached with other hyperscalers — Microsoft, Google Cloud, and AWS — mean that those three competitors of Oracle sell the Oracle Database to their customers through their own clouds.04:21 — Because for all the things Oracle has done in its first 48 or 49 years, the next five years, triggered by all these changes we've just described, are going to be very different. Sicilia said, “One of the things you can count on as we move forward into those next five years is that we are currently, at Oracle, taking a very different approach.” Visit Cloud Wars for more.

On continue à parler IA avec notre 2ème Hors-série tourné le 7/10 à Station F à l'occasion du GenAI Day* qu'organisait AWS, partenaire de tech 45'

Guest host Ryan Myrehn, of the IMSA Radio and SRO America broadcast teams, joins John Dagys on this week's episode of Double Stint to break down the 28th Motul Petit Le Mans, catch up on the latest news in sports car racing and preview this weekend's Indianapolis 8 Hour presented by AWS.

When Jeff Bezos quit his Wall Street job in 1994, packed up his Chevy Blazer, and headed to Seattle, few could have imagined that his risky idea for an online bookstore would one day become Amazon, one of the most powerful companies on Earth. In this episode of Talk2TheHand 90s, we explore the unlikely beginnings of a company that started in a garage with a spray-painted sign and a dream of selling books online. We'll trace Bezos's journey from his childhood tinkering in New Mexico to his Ivy League education and early career in finance, where he first spotted the potential of the internet. With MacKenzie Bezos supporting him on the road trip west, his vision for a new kind of business took shape: a bookstore that could carry millions of titles, accessible to anyone with a computer and a modem. Listeners will hear how the scrappy early days of Amazon—packing boxes by hand, celebrating each order, and racing to build trust in online shopping—set the stage for its explosive growth. By 1995, “Earth's Biggest Bookstore” was already reaching all 50 states and 45 countries, forever changing the way people thought about buying and selling online. The episode also digs into Bezos's relentless focus on customers, his long-term strategy of reinvestment, and his belief that Amazon was never just a retailer but a technology company. From weathering the dot-com crash to launching Prime, Kindle, and AWS, Amazon's story became one of adaptability, ambition, and an unwavering appetite for risk. Finally, we reflect on how Amazon grew from a scrappy startup to a global powerhouse that reshaped shopping, entertainment, and even cloud computing. Love it or hate it, Amazon's influence on modern life is undeniable—and it all started with one bold leap in the heart of the 1990s. Talk2TheHand is an independent throwback podcast run by husband and wife, Jimmy and Beth. Obsessed with 90s nostalgia and 90s celebrities, we'll rewind the years and take you back to the greatest era of our lives.   New episodes bursting with nostalgia of the 90s released on Tuesdays. Please subscribe to our podcast and we'll keep you gooey in 1990s love. Find us on Twitter @talk2thehandpod or email us at jimmy@talk2thehand.co.uk or beth@talk2thehand.co.uk

In this episode of the AWS Podcast, host Jillian Forde discusses the migration journey of Booking.com to AWS with Ali and Sarah. They explore the challenges faced by Booking.com , the benefits of using CloudFront and Lambda at Edge, and the importance of observability and cost optimization. The conversation also delves into chaos engineering practices and how they contribute to building resilient systems. Listeners gain insights into how edge architecture can enhance user experience and unlock new business opportunities.

AWS Morning Brief for the week of October 13th, 2025, with Corey Quinn. Links:Introducing AWS Pricing Capabilities in Amazon Q Developer: Ask Questions, Get Instant Cost InsightsAmazon Location Service Updates for Vietnam's New Administrative BoundariesPart 6: Effective sunset of the legacy data platform in BBVA: the migration methodology Amazon Q Developer and Kiro – Prompt Injection Issues in Kiro and Q IDE plugins Amazon DynamoDB now supports Internet Protocol version 6 (IPv6)AWS ranks #1 in Forecasting and Estimation Use Case in Gartner Critical Capabilities for Cloud Financial Management Tools report Introducing Amazon Quick Suite: your agentic AI-powered workspaceUnlock real-time advertising insights with Amazon Marketing Stream and AWSIMDS impersonationReduce Docker image build time on AWS CodeBuild using Amazon ECR as a remote cacheUnderstanding Amazon Chime SDK costs in AWS Cost ExplorerAWS Introduces self-service invoice correction featureBridging data silos: cross-bounded context querying with Vanguard's Operational Read-only Data Store (ORDS) using Amazon Redshift Beyond Bootstrap: Bootstrapless CDK Deployments at GoDaddyAmazon EKS and Amazon EKS Distro now supports Kubernetes version 1.34Amazon SageMaker notebook instance now supports Amazon Linux 2023Your Ultimate Guide to Cloud Financial Management sessions at re:Invent 2025: Know Before You Go Automatic quota management is now generally available for AWS Service Quotas CVE-2025-11462 AWS ClientVPN macOS Client Local Privilege EscalationCVE-2025-11573 - Denial of Service issue in Amazon.IonDotnet

ISV leaders from Automation Anywhere, DataVisor, and Sumo Logic share battle-tested strategies for deploying AI agents at scale, including pricing models, proof of concepts and ROI.Topics Include:Panel brings together ISV leaders from automation, fraud detection, and security operations.Companies rethinking entire business processes rather than automating incremental portions with agents.Start with immutable data before tackling real-time changing data in production.Intent for change must come from board, CEO, and customers simultaneously.Challenge: proving agent value beyond CSAT when internal teams block deployment.Sumo Logic measures Mean Time to Resolution, aiming to cut hours to zero.DataVisor cuts fraud alert resolution from one hour down to twenty minutes.Customers demand reliability as workflows shift from deterministic to probabilistic agent decisions.Automation Anywhere spent three years making every platform component fully agent-ready.Focus on business outcomes, not chasing every new model release each week.Human oversight still critical—agents are task-oriented and prone to hallucinations and drift.Humans validate agent findings, then let agents scale actions across hundreds instances.Pricing experiments range from platform-plus-consumption to outcome-based to decision-event models.Token pricing doesn't work due to varied data modalities and complexity.Next two quarters: more POCs moving to production with productive agents deployed.Future prediction: enterprise apps becoming systems of knowledge powered by MCP protocol.Participants:Jay Bala - Senior Vice President of Product, Automation AnywhereKedar Toraskar – VP Product Partnerships, DataVisorBill Peterson - Senior Director, Product Marketing, Sumo LogicJillian D'Arcy - ISV Senior Leader, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Salut bienvenue ! Hors-Série cette semaine, je te propose 3 entretiens avec des pépites françaises dans l'IA, j'ai tourné cela il y a quelques jours à Station F à l'occasion du GenAI Day qu'organisait AWS, partenaire de tech 45', l'expérience se poursuit jusqu'au 21/10, ça se passe par ici

In this episode, Alexa welcomes Swagat Kulkarni, a Senior Solutions Architect at Amazon Web Services, to discuss the intersection of AI, cloud innovation, and enterprise reality. Swagat shares his experience guiding large-scale digital transformations, emphasizing that success often hinges on people and culture, not just technology. They explore the rise of agentic AI, the challenges of moving from proof-of-concept to production , and the surprisingly crucial skill every tech leader needs: storytelling. Tune in to find out more about how to architect resilient systems that balance innovation with reality and why the future of tech depends on our ability to learn, unlearn, and relearn.You can also watch on YouTube: https://www.youtube.com/@alexa_griffithAnd listen on Spotify: https://open.spotify.com/show/1tnV8Qk6SEw1Dr9Tqikr0H?si=ecU279HXTSa9issXm1jVmQLinksLinkedin: https://www.linkedin.com/in/swagat-kulkarni/Blog: https://builder.aws.com/content/2eYN4c5L59qvGZY65RBcdoVtN4t/envoy-ai-gateway-with-amazon-bedrock-getting-started-guideKeywordsAI, digital transformation, cloud computing, agentic AI, storytelling, solutions architect, AWS, technology adoption, open source, innovationTakeawaysDigital transformation is about creating agility in organizations.Storytelling is crucial for conveying technical concepts to customers.AI adoption requires a clear understanding of the problems to solve.Simplicity in architecture leads to better outcomes.Cultural shifts are essential for successful digital transformation.Open source technologies can accelerate innovation.Customer feedback drives AWS's service development.Continuous learning is vital in the tech industry.Data readiness is critical for AI success.Leadership buy-in is necessary for transformation projects.Chapters00:00 Introduction to AI and Digital Transformation02:26 Swagat Kulkarni's Journey in Tech05:24 Role of a Solutions Architect at AWS08:13 The Importance of Storytelling in Tech11:10 Understanding Digital Transformation15:05 Successful Transformation Projects17:09 Agentic AI and Its Real-World Applications20:13 Challenges in Adopting Agentic AI24:05 Customer Feedback and AWS's Approach29:59 Success Factors in Digital Transformation32:53 Embracing a Technology Mindset34:31 The Role of Leadership in Innovation35:40 Surprises in Customer Awareness37:52 Knowledge Sharing Dynamics in Organizations39:26 Cultural Shifts in Knowledge Sharing40:33 Exciting Tools for Developer Efficiency42:48 Misconceptions in AI Adoption44:33 Designing Resilient Architectures47:27 Feedback Loops and Continuous Improvement49:03 The Value of Open Source51:11 The Importance of Documentation in Open Source52:37 The Power of Storytelling in Tech57:12 Quickfire Questions and Final Thoughts01:00:21 general_outro.wav

An airhacks.fm conversation with Gabriel Pop (@vwggolf3) about: Romanian communist-era Felix HC91 computer with Z80 processor and 64KB RAM, learning programming through Basic and cassette tape storage, attending specialized informatics high school class in northern Romania, teachers from former communist computing center, learning Pascal and building word-guessing game for graduation project, pressure and competitiveness in academic environment, entering Cluj-Napoca Technical University computer science program as second-ranked student, studying in English-taught program, learning Java through Bruce Eckel's Thinking in Java book, working as Java developer during university using German method names for Frankfurt-based company, using Struts framework with Hibernate and JSPs for web development, joining Betfair.com as early employee in Romanian office, founding Transylvania Java User Group in 2008 with iconic Dracula-themed Duke logo, organizing 60+ meetups with 120-150 regular attendees, receiving support from international JUG leaders like Antonio Gonçalves and Michael Hüttermann, transitioning to engineering leadership roles, working at various companies including Uber Amsterdam managing cash payment systems, health tech startup using PHP, Catawiki marketplace using Ruby on Rails, currently working at AWS on CodeBuild and CodePipeline, discussing need for corretto 25 support in AWS services, importance of Java LTS versions for developers Gabriel Pop on twitter: @vwggolf3

Want a real look at how breakthrough tech actually gets built and shipped? I had the pleasure of sitting down with Samira Naraghi, Chief Business Officer at Enovix, who has held previous roles at AWS, Meta, Qualcomm, and other notable companies, to unpack a career defined by tackling challenging problems, making significant pivots, and achieving results that speak louder than titles. From growing up in post-war Iran, where power outages made technology feel magical, to leading global go-to-market strategies and launching industry-defining products, Samira shows how adaptability, curiosity, and grit compound into leadership.We trace the through line across semiconductors, cloud, and next-gen batteries: translating deep technology into real business impact. Samira breaks down why go-to-market must start on day one, how co-building with early customers derisks product-market fit, and what it takes to prioritize nascent bets like AR when constraints around power, space, and manufacturability are unforgiving. She shares the unglamorous truth of innovation, fighting physics, supply chains, and disbelief, while still hitting commitments through decisive execution and a culture built for pressure.For women in tech navigating ceilings and seeking visibility, the guidance is clear and actionable. Choose the messy, high-impact work others avoid. Build trust by delivering under pressure. Communicate with clarity, drop the hedging, and be overprepared. We also explore becoming future-ready with AI: learn the fundamentals, speak the language, and use the tools to amplify your work. Mentorship, peer networks, and “quiet boldness” round out a candid playbook for career growth that doesn't wait for permission.I hope this conversation gives you the nudge to take the harder path intentionally, and if so, share it with a friend who needs the encouragement. Subscribe for more honest, tactical stories from leaders building the future, and leave a review to tell us the bold move you're making next.Hi Mary here, through my conversations with women leaders, I've learned just how urgent the need is for AI strategies that actually make sense. It's not about adopting tools just to keep up; it's about building a smart foundation. That's exactly what Beyondsoft is doing. To learn more visit https://www.youtube.com/playlist?list=PL-yCsEeZbsl6ivoZoS9YW1quYxbQr1Teo

Two years after our last conversation, Raj Koneru, CEO and Founder of Kore.ai, returns to discuss how the world of AI has changed and how much of it still needs to. When we first spoke, conversational AI was promising. Now it is powering over a billion interactions every day for companies like LG, Coca-Cola, and Blue Cross Blue Shield. Yet Raj argues that the next real breakthrough will not come from novelty, but from accessibility. In this episode, Raj explains why the future of AI depends on open collaboration rather than vendor lock-in. Kore.ai's partnerships with Microsoft, AWS, and G42's Inception in the UAE reflect a commitment to interoperability and shared innovation. He offers a rare look into what happens “above the line,” where enterprises actually design and deploy AI agents, compared to the massive “below the line” investments driving the hardware, cloud, and model layers of AI. For Raj, platforms like Kore.ai act as the bridge, translating technical potential into business outcomes. We also explore what true democratization of AI looks like in practice. Raj believes no-code platforms are key to giving both large and small businesses the power to build their own agents without deep technical skills. He discusses the challenges of scaling responsibly, managing latency, ensuring governance, and keeping AI secure and transparent. From the shift toward on-device AI in smartphones to the lessons learned from running one of the world's largest enterprise AI platforms, his perspective blends realism with optimism. This conversation is a reminder that progress in AI will not be defined by who owns the biggest model but by who makes the technology usable, ethical, and open to everyone. Raj's message is simple but powerful: read widely, question everything, and collaborate boldly.

This week, we discuss Apps in ChatGPT, OpenAI's Agent SDK and Codex. Plus, Matt has a possum problem down under. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/88Cz6K0UGjc?si=rjPnzkxY6-34wJ99) 541 (https://www.youtube.com/live/88Cz6K0UGjc?si=rjPnzkxY6-34wJ99) Runner-up Titles Living in the dark ages of Sequoia He's the racoon remover of the neighborhood Don't say we don't cover everything They're hoping someone's going to unlock a lot of value here, because I'm not seeing it The Low Code Trap Use the code “SDT150” and we'll send you money Rundown Open AI DevDay (https://openai.com/devday/) The Next Great Distribution Shift (https://blog.brianbalfour.com/p/the-next-great-distribution-shift) AMD stock skyrockets 30% as OpenAI looks to take stake in AI chipmaker (https://www.cnbc.com/2025/10/06/openai-amd-chip-deal-ai.html) OpenAI's Golden Touch Spreads as Stocks Soar (https://www.bloomberg.com/news/articles/2025-10-06/openai-s-golden-touch-spreads-as-stocks-soar-off-mere-mentions?cmpid=BBD100725_MONEYSTUFF&utm_medium=email&utm_source=newsletter&utm_term=251007&utm_campaign=moneystuff) OpenAI Is Good at Deals (https://www.bloomberg.com/opinion/newsletters/2025-10-06/openai-is-good-at-deals?srnd=undefined&embedded-checkout=true) (https://venturebeat.com/ai/github-leads-the-enterprise-claude-leads-the-pack-cursors-speed-cant-close)## Relevant to your Interests Your Meta AI Chats Will Soon Influence the Ads You See (https://www.macrumors.com/2025/10/01/meta-ai-ad-targeting/) AWS API MCP Server v1.0.0 release - AWS (https://aws.amazon.com/about-aws/whats-new/2025/10/aws-api-mcp-server-v1-0-0-release/) Inside the cybersecurity boom, strong team, and bold gamble that helped Wiz CEO Assaf Rappaport win a $32 billion deal with Google (https://fortune.com/article/wiz-cloud-security-ceo-assaf-rappaport-google-sundar-pichai/) Linus Torvalds Lashes Out At RISC-V Big Endian Plans (https://www.phoronix.com/news/Torvalds-No-RISC-V-BE) Open Printer (https://www.crowdsupply.com/open-tools/open-printer) Have we passed peak social media? (https://archive.is/10cll#selection-1851.0-1854.0) Apple working on MCP support on Mac, iPhone, and iPad (https://9to5mac.com/2025/09/22/macos-tahoe-26-1-beta-1-mcp-integration/) A cartoonist's review of AI art (https://theoatmeal.com/comics/ai_art) GitHub leads the enterprise, Claude leads the pack—Cursor's speed can't close (https://venturebeat.com/ai/github-leads-the-enterprise-claude-leads-the-pack-cursors-speed-cant-close) Cursor CLI (https://cursor.com/cli) Introducing Claude Sonnet 4.5 (https://www.anthropic.com/news/claude-sonnet-4-5) GitHub Copilot CLI is now in public preview (https://github.blog/changelog/2025-09-25-github-copilot-cli-is-now-in-public-preview/) Meet Jules Tools: A Command Line Companion for Google's Async Coding Agent (https://developers.googleblog.com/en/meet-jules-tools-a-command-line-companion-for-googles-async-coding-agent/) Announcing The Gem Cooperative (https://martinemde.com/2025/10/05/announcing-gem-coop.html) Qualcomm Buys Arduino, Will Bring AI Tools to Your DIY Tech Projects (https://www.pcmag.com/news/qualcomm-buys-arduino-will-bring-ai-tools-to-your-diy-tech-projects) Listener Feedback Join the Boulder AWS - Amazon Web Services | Meetup (https://www.meetup.com/boulder-aws-amazon-web-services/) Conferences AI for the Rest of Us (https://aifortherestofus.live/london-2025), Coté speaking, October 15th-16th, London. Use code SDT20 for 20% off. Wiz Wizdom Conferences (https://www.wiz.io/wizdom), NYC November 3-5, London November 17-19 SREDay Amsterdam (https://sreday.com/2025-amsterdam-q4/), Coté speaking, November 7th. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Shark NV352 Navigator Lift Away Upright Vacuum (https://www.amazon.com/dp/B004Q4DRJW?ref=ppx_yo2ov_dt_b_fed_asin_title&th=1) Matt: Murderbot (https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://tv.apple.com/us/show/murderbot/umc.cmc.5owrzntj9v1gpg31wshflud03&ved=2ahUKEwjYg_bfyZWQAxVvmmoFHYDdH30QFnoECBQQAQ&usg=AOvVaw0rXcF6igz8j5-_fPSRIRoB) Photo Credits Header (https://unsplash.com/photos/a-small-animal-sitting-on-top-of-a-leaf-covered-ground-kyHACltnSgU)

Sentiment for Amazon (AMZN) has improved, says Likefolio's Megan Brantley, who points out rising trends in the ecommerce giant. The company's October Prime Days offered a leg up for Amazon and its customers a chance to get ahead on the holiday shopping season. However, Megan sees AWS cloud being Amazon's leading growth driver. As she points out, AWS remains the cloud leader, but its dominance is shrinking as competitors like Microsoft's (MSFT) Azure gains traction.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

In this episode of JavaScript Jabber, I sit down with AWS's Clare Liguori and Erik Hanchett to talk about Kiro, a brand-new AI-powered IDE that's reimagining the way developers build software. We dive into how Kiro takes “AI-assisted coding” to a new level through spec-driven development — a process that focuses on defining requirements and collaborating with AI to break projects into clear, manageable tasks.We unpack what sets Kiro apart from tools like Cursor and Copilot, explore its supervised vs. autopilot coding modes, and even talk about how it handles UI design, planning, and complex legacy codebases. Clare and Erik share behind-the-scenes insights on how Kiro was built using Kiro itself, what's coming next for the platform, and how developers can join the early-access community to help shape its future.

AI-powered cyberattacks are rapidly evolving, prompting a significant shift in cybersecurity strategies. According to a recent Gartner report, IT leaders are expected to allocate over half of their cybersecurity budgets to preemptive defense measures by 2030. This change is driven by the inadequacy of traditional detection and response tools in the face of sophisticated cyber threats, particularly those enhanced by artificial intelligence. Experts warn that while preemptive measures can mitigate risks, organizations may encounter challenges in integrating these new systems and overcoming cultural inertia.Datadog's 2025 State of Cloud Security Report highlights a growing trend among organizations adopting data perimeters to combat credential theft, with 40% of organizations implementing this advanced security practice. Additionally, 86% of organizations are utilizing multi-account setups within AWS, which allows for better enforcement of security protocols. Meanwhile, OpenAI's report reveals that cybercriminals are increasingly leveraging AI for malicious activities, including phishing and surveillance, showcasing the urgent need for enhanced cybersecurity measures.In response to market pressures, Synology has reversed its policy on drive restrictions for its network-attached storage models, allowing the use of non-validated third-party drives. This decision comes after user feedback indicated dissatisfaction with the previous requirement for proprietary drives, which were often more expensive. For managed service providers (MSPs), this change offers greater flexibility and cost-effectiveness, making Synology's products more appealing once again.Pax8 has launched the Pax8 Agent Store, a platform designed to help MSPs adopt and offer AI-driven tools to small and medium-sized businesses. This marketplace aims to facilitate the integration and monetization of intelligent automation solutions, with early access set for December 2025. Additionally, SolarWinds has introduced an AI agent to enhance operational resilience for IT teams, while Barracuda Networks has launched Barracuda Research, a centralized resource for threat intelligence. Both initiatives aim to empower organizations in managing cybersecurity threats more effectively. Four things to know today00:00 Gartner, OpenAI, Datadog, and DHS Paint a Stark Cyber Future: AI Attacks Surge, Budgets Shift, and Defenses Fracture06:01 New Pax8 Platform Targets Repeatable AI Services, Sets Early Access for December08:03 Synology Reverses Course on Pricey Drives — Because You Stopped Buying09:53 SolarWinds and Barracuda Push AI to Ease IT Burdens—But Can They Deliver Real Value? This is the Business of Tech.     Supported by:  Comet, Scalepad Webinar:  https://bit.ly/msprmail

Learn how Coveo automated LLM migration like a "mind transplant," building frameworks to optimize prompts and maintain quality across model changes.Topics Include:AWS and Coveo discuss their Gen-AI innovation using Amazon Bedrock and Nova.Coveo faced multi-cloud complexity, data residency requirements, and rising AI costs.Coveo indexes enterprise content across hundreds of sources while maintaining security permissions.The platform powers search, generative answers, and AI agents across commerce and support.CRGA is Coveo's fully managed RAG solution deployed in days, not months.Customers see 20-30% case reduction; SAP Concur saves €8 million annually.Original architecture used GPT on Azure; migration targeted Nova Lite on Bedrock.Infrastructure setup involved guardrails and load testing for 70 billion monthly tokens.Migrating LLMs is like a "mind transplant"—prompts must be completely re-optimized.Coveo built automated evaluation framework testing 20+ behaviors with each system change.Nova Lite improved answer accuracy, reduced hallucinations, and matched GPT-4o Mini performance.Migration simplified governance, enabled regional compliance, reduced latency, and lowered costs.Participants:Sebastien Paquet – Vice President, AI Strategy, CoveoYanick Houngbedji – Solutions Architect Canada ISV, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Bret is joined by Philip Andrews and Dan Muret of Cast AI to discuss pod live migration between nodes in a Kubernetes cluster.

The evolving role of technology in modern defense environments, highlighting innovations in communications, automation, and open-source frameworks. Drawing from personal experience, the conversation emphasizes how real-world conflicts are reshaping how tech is deployed, adopted, and understood across military operations.  This week, Dave, Esmee, and Rob speak with Ben Sparke, Enterprise Azure Cloud & AI Specialist for UK Defence at Microsoft, about  how his military background informs a human-centered approach to technology in the evolving defence sector—highlighting the shift from mission-driven to tech-driven innovation.  TLDR:00:37 – Introduction of Ben Sparke and face-to-face podcasting02:40 – Rob gets confused about Digital Twins representing you in court08:15 – Tech's evolving role in defence, with Ben 34:41 – Why improvisation and human adaptability matter 43:30 – Ben's hundred-mile bike race over the weekend  Guest Ben Sparke: https://www.linkedin.com/in/ben-sparke/ HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/Esmee van de Giessen: https://www.linkedin.com/in/esmeevandegiessen/ 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/ 'Cloud Realities' is an original podcast from Capgemini 

No novo episódio do Podcast Canaltech, a conversa é sobre como inovar com inteligência artificial sem perder o olhar humano. Quem fala sobre o tema é Alessandra Karine, ex-vice-presidente da Microsoft Brasil, com 27 anos de experiência em empresas como Cisco, Accenture e AWS. Na entrevista conduzida por Elisa Fontes, Alessandra explica por que toda empresa está se tornando uma empresa de tecnologia e como líderes e profissionais podem equilibrar eficiência, empatia e propósito em meio à automação. Ela também compartilha exemplos reais de aplicação da IA no Brasil, como o projeto Redação Certa, da Secretaria de Educação de São Paulo, e iniciativas em saúde e justiça que usam tecnologia para resolver desafios complexos. Você também vai conferir: Google One de 2 TB ganha recursos avançados de IA, Samsung vai copiar Apple em cor laranja do Galaxy S26 Ultra, sugere rumor, Novo top da Samsung deve ter "mesma bateria" usada desde 2020, Ações da AMD vão às alturas após acordo com OpenAI e Activision dá COD de graça para sabotar lançamento de Battlefield 6.Este podcast foi roteirizado por Fernanda Santos e apresentado por Marcelo Fischer e contou com reportagens de André Magalhães, Vinícius Moschen, Bruno Bertonzin, Raphael Giannotti e Diego Corumba. A trilha sonora é de Guilherme Zomer, a edição de Jully Cruz e a arte da capa é de Erick Teixeira.See omnystudio.com/listener for privacy information.

AI is developing at an incredible pace. With that development comes questions. For instance, how do you connect your resources to agents? How do agents connect with each other? And how do you keep it all secure? Our guest Christian Posta is here to guide us through AI, MCP, and the concept of workload identities.... Read more »

AI is developing at an incredible pace. With that development comes questions. For instance, how do you connect your resources to agents? How do agents connect with each other? And how do you keep it all secure? Our guest Christian Posta is here to guide us through AI, MCP, and the concept of workload identities.... Read more »

Dion Hinchcliffe, Vice President of CIO Practice at Futurum Group, reveals how EMEA software companies can turn Europe's regulatory rigor into a competitive superpower while navigating AI adoption and cloud transformation challenges.Topics Include:AWS surveyed 750+ EMEA software companies to understand their growth challenges.European tech firms lag US counterparts but AI presents catch-up opportunity.EMEA companies prioritize data sovereignty and privacy over rapid cloud adoption.Tier-2 local cloud providers often lack capabilities needed for global scaling.Cloud-native companies show faster growth and innovation than traditional competitors.Best practices for cloud architecture now well-established across major platforms.CEOs lead AI transformation; 100% of tracked companies using AI substantially.Software companies report 80% of customers now requesting AI capabilities.IT talent shortage requires solutions needing minimal specialized skills to deploy.ERP modernization accelerating as cloud-native systems offer superior capabilities.Europe's regulatory rigor becomes competitive advantage in trustworthy technology.AI adoption continues at light speed; quantum computing emerges within five years.Participants:Dion Hinchcliffe - Vice President of CIO Practice, Futurum GroupMassimo Ghislandi – Head of EMEA Marketing for Software Companies, Amazon Web ServicesSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

Not all credentials belong on your resume. Some get you hired. Others? They're just taking up space.In this episode, I break down:✅ Credentials that recruiters actually care about❌ Credentials that hold you back (and why)

Nueva vuelta de tuerca a los ataques contra la Inteligencia Artificial que cada vez es más capaz, tiene más acceso y ya es una herramienta inevitable en nuestras vidas. Notas y referencias en https://www.tierradehackers.com/episodio-138 Puedes apoyar este Podcast en Patreon y obtener beneficios exclusivos. Además, estarás ayudando a que siga publicándose muchos años más. https://www.tierradehackers.com/patreon/ ⭐️ SPONSORS ⭐️ ️‍♂️ Flare Flare es una plataforma de inteligencia de amenazas y monitoreo de la Dark Web que te ayuda a estar un paso por delante de los ciber-delincuentes. Puedes solicitar una prueba gratuita como oyente de Tierra de Hackers aquí:  https://try.flare.io/martin-vigo/ ️ Prowler Audita y mejora tu seguridad en AWS, Azure, GCP, Kubernetes y M365 con visibilidad centralizada. Solicita una prueba gratuita en el siguiente link:  https://prowler.com/?utm_source=tierra_de_hackers ️ YouTube: https://www.youtube.com/tierradehackers  Twitch: https://www.twitch.tv/tierradehackers ➡️ Twitter: https://www.twitter.com/tierradehackers ➡️ LinkedIn: https://www.linkedin.com/company/tierradehackers ➡️ Instagram: https://www.instagram.com/tierradehackers ➡️ Facebook: https://www.facebook.com/tierradehackers ➡️ TikTok: https://www.tiktok.com/@tierradehackers No olvides unirte a nuestra comunidad de Discord:  https://www.tierradehackers.com/discord

AI is developing at an incredible pace. With that development comes questions. For instance, how do you connect your resources to agents? How do agents connect with each other? And how do you keep it all secure? Our guest Christian Posta is here to guide us through AI, MCP, and the concept of workload identities.... Read more »

ON THIS EPISODE ➤ Why IT presentations lose executives in 30 seconds—and the backward storytelling framework that changes everything ➤ How a CFO cut AWS costs 20% in three weeks through daily DevOps partnership sessions ➤ The Five Boss Model: Why your CFO wants to fund IT projects but can’t understand your proposals ➤ Innovation...

Frances Stacy makes the case that Amazon (AMZN) has an attractive price tag at current levels. A look into the chart's technicals show Amazon making higher lows. Additionally, Frances points to Anthropic and AWS cloud as strongholds in A.I. Tom White turns to the options front for Amazon.======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Beniamin Mincu is a visionary entrepreneur rewriting the rules of business and technology as Founder & CEO of xMoney and MultiversX, one of the world's most advanced blockchain ecosystems. Starting from Romania with an ambition, grit, and a bold idea, he built a company that now works with AWS, Google Cloud, and even national governments. Connect with Beniamin Mincu:Website: https://multiversx.com/, https://www.xmoney.com/, https://xportal.com/ X: https://x.com/beniaminmincu LinkedIn: https://www.linkedin.com/in/beniaminmincu/ YouTube: https://www.youtube.com/@FullShardPodcast TurnKey Podcast Productions Important Links:Guest to Gold Video Series: www.TurnkeyPodcast.com/gold The Ultimate Podcast Launch Formula- www.TurnkeyPodcast.com/UPLFplusFREE workshop on how to "Be A Great Guest."Free E-Book 5 Ways to Make Money Podcasting at www.Turnkeypodcast.com/gift Ready to earn 6-figures with your podcast? See if you've got what it takes at TurnkeyPodcast.com/quizSales Training for Podcasters: https://podcasts.apple.com/us/podcast/sales-training-for-podcasters/id1540644376Nice Guys on Business: http://www.niceguysonbusiness.com/subscribe/The Turnkey Podcast: https://podcasts.apple.com/us/podcast/turnkey-podcast/id1485077152

Most sellers tend to get caught up in the technical side—asking the “right” questions, handling objections, and checking all the boxes. But in the process, we often overlook something just as important: the emotional side of selling. That's why I invited Alex Kremer, founder of Alluviance, to join me. He breaks down how the right mindset can help you close more deals and build lasting relationships.Meet Alex Kremer· Alex Kremer is the Founder of Alluviance, a community and organization dedicated to transforming sales and leadership through authenticity, purpose, and performance. · With over 15 years of experience, he has worked with top companies like Salesforce, AWS, and Gong, and played a key role in scaling Outreach from $25M to $250M. · He's hired, trained, and led over 100 Account Executives and Sales Managers, earning President's Club honors 7 years in a row.· Alex is known for helping leaders build high-performing teams and purpose-driven cultures that achieve lasting results.Beyond the Tactics: The Role of Mindset in Sales Success· Alex pulls back the curtain on his journey, opening up about the hidden struggles he faced even when he seemed most successful. · Despite hitting top quotas and leading major accounts at Microsoft, he battled depression, highlighting a key truth: salespeople can meet every external standard and still feel empty inside. · Alex explains how mental, emotional, and even spiritual health are often overlooked but absolutely crucial to sustainable, fulfilling sales success.Practical Strategies: Filling the Void and Mastering the Inner Game· Alex introduces the concept of “parts work,” a therapeutic approach to identifying and relating to various emotions without self-judgment. · He stresses the importance of self-awareness, inviting reps to treat their emotional states with the same curiosity as they would a sales prospect in discovery. · Simple practices like mindful breathing, walks without phones, and reflective journaling can create the internal space needed for clarity.Leadership in Action: Bringing Mindfulness Into Sales Teams· For sales leaders, Alex suggests starting meetings with grounding exercises such as box breathing or gratitude practices. · Investing a few minutes in presence and connection sets a more productive tone than jumping straight to numbers.“When you connect more deeply with yourself, it allows you to connect more deeply with other people, which is very interwoven with sales.” - Alex Kremer.ResourcesAlex's company, Alluviance, hosts regular retreats blending sales tactics with inner game work. Reach out to Alex on LinkedIn or the Alluviance website for future retreat details.Sponsorship Offers1. This episode is brought to you in part by Hubspot.With HubSpot sales hubs, your data tools and teams join a single platform to close deals and turn prospects into pipelines. Try it for yourself at hubspot.com/sales.2. This episode is brought to you in part by LinkedIn.Are you tired of prospective clients not responding to your emails? Sign up for a free 60-day trial of LinkedIn Sales Navigator at

AI Assisted Coding: Beyond AI Code Assistants: How Moldable Development Answers Questions AI Can't With Tudor Girba In this BONUS episode, we explore Moldable Development with Tudor Girba, CEO of feenk.com and creator of the Glamorous Toolkit. We dive into why developers spend over 50% of their time reading code—not because they want to, but because they lack the answers they need. Tudor shares how building contextual tools can transform software development, making systems truly understandable and enabling decisions at the speed of thought. The Hidden System: A Telco's Three-Year Quest "They had a system consisting of five boxes, but they could only enumerate four. If this is your level of awareness about what is reality around you, you have almost no chance of systematically affecting that reality." Tudor opens with a striking case study from a telecommunications company that spent three years and hundreds of person-years trying to optimize a data pipeline. Despite massive effort and executive mandate, the pipeline still took exactly one day to process data—no improvement whatsoever. When Tudor's team investigated, they asked for an architecture diagram. The team drew four boxes representing their system. But when Tudor's team started building tools to mirror this architecture back from the actual code, they discovered something shocking: there was an entire fifth system between the first and second boxes that nobody knew existed. This missing system was likely the bottleneck they'd been trying to optimize for three years. Why Reading Code Doesn't Scale "Developers spend more than 50% of their time reading code. The problem is that our systems are typically larger than anyone can read, and by the time you finish reading, the system has already changed many times." The real issue isn't the time spent reading—it's that reading is the most manual, least scalable way to extract information from systems. When developers read code, they're actually trying to answer questions so they can make decisions. But a 250,000-line system would take one person-month to read at high speed, and the system changes constantly during that time. This means everything you learned yesterday becomes merely a hypothesis, not a reliable answer. The fundamental problem is that we cannot perceive anything in a software system except through tools, yet we've never made how we read code an explicit, optimizable activity. The Context Problem: Why Generic Tools Fail "Software is highly contextual, which means we can predict classes of problems people will have, but we cannot predict specific problems people will have." Tudor draws a powerful parallel with testing. Nobody downloads unit tests from the web and applies them to their system—that would be absurd. Instead, we download test frameworks and build tests contextually for our specific system, encoding what's valuable about our particular business logic. Yet for almost everything else in software development, we download generic tools and expect them to work. This is why teams have tens of thousands of static analysis warnings they ignore, while a single failing test stops deployment. The test encodes contextual value; the generic warning doesn't. Moldable Development extends this principle: every question about your system should be answered by a contextual tool you build for that specific question. Tools That Mirror Your Mental Model "Whatever you draw on the whiteboard—that's your mental model. But as soon as the system exists, we want the system to mirror you back that thing. We make it the job of the system to show our mental model back to us." When someone draws an architecture diagram on a whiteboard, they're not documenting the system—they're documenting their beliefs about the system. The diagram represents wishes when drawn before the system exists, but beliefs when drawn after. Moldable Development flips this: instead of humans reading code and creating approximations, the system itself generates the visualization directly from the actual code. This eliminates the layers of belief and inference. Whether you're looking at high-level architecture, data lineage across multiple technologies, performance bottlenecks, or business domain structure, you build small tools that extract and present exactly the information you need from the system as it actually is. The Test-Driven Development Parallel "Testing was a way to find some kind of class of answers. But there are many other questions we have, and the question is: is there a systematic way to approach arbitrary questions?" Tudor explains that Moldable Development applies test-driven development principles to all forms of system understanding. Just as we write tests after we understand the functionality we need, we build visualization and analysis tools after we understand the questions we need answered. Both approaches share key characteristics: they're built contextually for the specific system, created by developers during development, and composed of many small tools that collectively model the system. The difference is that TDD focuses on functional decomposition and known expectations, while Moldable Development addresses architecture, security, domain structure, performance, and any other perspective where functional tests aren't the most useful decomposition. From Thousands of Features to Thousands of Tools "In my development environment, I don't have features. I have thousands of tools that coexist. Development environments should be focused not on what exists out of the box, but on how quickly you can create a contextual tool." Traditional development environments offer dozens of features—buttons, plugins, generic views. But Moldable Development environments contain thousands of micro-tools, each answering a specific question about a specific system. The key is making these tools composable and fast to create. Rather than building monolithic tools that try to handle every scenario, you build small inspectors that show one perspective on one object or concept. These inspectors chain together naturally as you drill down from high-level questions to detailed investigations. You might have one inspector showing test failures grouped by exception type, another showing PDF document comparisons, another showing cluster performance, and another showing memory usage—all coexisting and available when needed. The Real Bottleneck To Learning A System: Time to the Next Question "Once you do this, you will see that the interesting bottleneck is in the time to the next interesting question. This is by far the most interesting place to be spending energy." When you commoditize access to answers through contextual tools, something remarkable happens: the bottleneck shifts from getting answers to asking better questions. Right now, because answers come so slowly through manual reading and analysis, we rarely exercise the skill of formulating good questions. We make decisions based on gut feelings and incomplete data because we can't afford to dig deeper. But when answers arrive at the speed of thought, you can explore, follow hunches, test hypotheses, and develop genuine insight. The conversation between person and system becomes fluid, enabling decision-making based on actual evidence rather than belief. Moldable Development in Practice: The Lifeware Case "They are investing in software engineering as their competitive advantage. They have 150,000 tests that would take 10 days to run on a single machine, but they run them in 16 minutes distributed across AWS." Tudor shares a powerful case study of Lifeware, a life insurance software company that was featured in Kent Beck's "Test-Driven Development by Example" in 2002 with 4,000 tests. Today they have 150,000 tests and have fully adopted Moldable Development as their core practice. Their business model is remarkable: they take data from insurance companies, throw away the old systems, and reverse-engineer new systems by TDD-ing the business—replaying history to produce pixel-identical documents. They've deployed Glamorous Toolkit as their sole development environment across 100+ developers. Their approach demonstrates that Moldable Development isn't just a research concept but a practical competitive advantage that scales to large teams and complex systems. Why AI Doesn't Solve This Problem "When you ask AI, you will get exactly the same kind of answers. The answer comes quickly, but you will not know whether this is accurate, whether this represents the whole thing, and you definitely do not have an explanation as to why the answer is the way it is." In the age of AI code assistants, it might seem like language models could solve the problem of understanding systems. But Tudor explains why they can't. When you ask an AI about your architecture, you get an opinion—fast but unverifiable. Just like asking a developer to draw the architecture on a whiteboard, you receive filtered information without knowing if it's complete or accurate. Moldable Development, by contrast, extracts answers deterministically from the actual system. Software systems have almost no ambiguity in meaning—they're mathematical, not linguistic. We don't need probabilistic interpretation of source code; we need precise extraction and presentation. The tools you build give you not just answers but explanations of how those answers were derived from the actual system state. Scaling Through Language, Not Features "You need a new kind of development environment where the goal is to create tools much quicker. You need some sort of language in which to express development environments." The technical challenge of Moldable Development is enabling thousands of tools to coexist productively. This requires a fundamentally different approach to development environments. Instead of adding features—buttons and menu items that quickly become overwhelming—you need a language for expressing tools and a system for composing them. Glamorous Toolkit demonstrates this through its inspector architecture, where any object can define custom views that appear contextually. These views compose naturally as you navigate through your investigation, reusing earlier perspectives while adding new ones. The environment becomes a medium for tool creation, not just a collection of pre-built features. Making the Invisible Visible "We cannot perceive anything in a software system except through a tool. If that's so important, then the ability to control that shape is probably kind of important too." Software has no inherent shape—it's just data. Every perception we have of it comes through some tool that renders it into a form we can reason about. This means tools aren't nice-to-have accessories; they're fundamental to our ability to work with software at all. The text editor showing code is a tool. The debugger showing variables is a tool. But these are generic tools built once and reused everywhere, which means they show generic perspectives. What if we could control the shape of our software as easily as we write it? What if the system could show us exactly the view we need for exactly the question we have? That's the promise of Moldable Development. About Tudor Girba Tudor Girba is CEO of feenk.com and creator of Moldable Development. He leads the team behind Glamorous Toolkit, a novel IDE that helps developers make sense of complex systems. His work focuses on transforming how teams understand, navigate, and modernize legacy software through custom, insightful tools. Tudor and Simon Wardley are writing a book about Moldable Development which you can get at: https://moldabledevelopment.com/, and read more about in this Medium article. You can link with Tudor Girba on LinkedIn.

AWS Morning Brief for the week of October 6th, 2025, with Corey Quinn. Links:Deploying AI models for inference with AWS Lambda using zip packagingAnnouncing Amazon ECS Managed Instances Amazon EBS increases the maximum size and provisioned performance of General Purpose (gp3) volumes Accelerating AWS Infrastructure Deployment: A Practical Guide to Console-to-Code AWS Builder ID now supports Sign in with Google Build a dynamic workflow orchestration engine with Amazon DynamoDB and AWS LambdaAWS Transfer Family adds support for additional IAM condition keys AWS Compute Optimizer now supports 99 new Amazon EC2 instance types

This is episode 791. Read the complete trancription on the Sales Game Changers Podcast website here. The Sales Game Changers Podcast was recognized by YesWare as the top sales podcast. Read the announcement here. FeedSpot named the Sales Game Changers Podcast at a top 20 Sales Podcast and top 8 Sales Leadership Podcast! Subscribe to the Sales Game Changers Podcast now on Apple Podcasts! Purchase Fred Diamond's best-sellers Love, Hope, Lyme: What Family Members, Partners, and Friends Who Love a Chronic Lyme Survivor Need to Know and Insights for Sales Game Changers now! On today's "Women in Sales Leadership," show, Center for Elevating Women in Sales Leadership President Gina Stracuzzi interviewed Dr. Kristen Johnson from AWS. She will be a presenter at the October 9 Women in Sales Elevation Conference. Register here to attend the event. Watch the video of this podcast on YouTube here. Find Kristen on LinkedIn.  KRISTEN'S TIP: "Women are uniquely positioned to help with this because we bring empathy, opportunity, and creativity to thrive in an environment where the shiver of sharks is coming so quickly. Our ability to step into leadership roles with AI is not only unprecedented, it's essential.”  

Experienced CISOs from MongoDB and Gusto reveal proven frameworks for translating complex cybersecurity metrics into board-friendly presentations that drive decision-making.Topics Include:Security leaders discuss challenges of presenting technical cybersecurity topics to boardsMongoDB CISO presents three times in six months, Gusto director five timesThree-angle metrics framework: environmental threats, prevention quality, and detection/response speed capabilitiesBoard members switch contexts frequently, requiring extensive education and simplified heat mapsRepeatable presentation models help board members follow consistent data across meetingsAudit committees get different depth than general board updates on programsNew technologies like AI require educating boards on risks versus opportunitiesFoundational security principles like zero trust remain constant regardless of technologySecurity buzzwords need translation appendices since board members forget technical definitionsFinancial services background helps translate cyber risks into dollar amounts boards understandThird-party penetration testing provides independent validation but requires vendor rotation strategiesLimited 30-minute board time means trusting security leaders' vendor diligence decisionsFirst-time CISOs should educate on threat landscape then tailor strategy to companyBalance discussing shiny new technologies with essential foundational security blocking and tacklingAI implementation spans customer features, infrastructure security, and augmenting security capabilities internallyParticipants:Sean Josephson - Sr. Director of Information Security, GustoJulien Soriano – Sr. Vice President, CISO, MongoDBGee Rittenhouse - Vice President, Security Services, Amazon Web ServicesFurther Links:Gusto: Website – LinkedInMongoDB: Website – LinkedIn – AWS MarketplaceSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

As cloud matures, could the hyperscale cloud providers start looking to acquire SaaS providers to build out a bundled application portfolio? Or are the demands of AI investment too much to pursue that strategy? SHOW: 964SHOW TRANSCRIPT: The Cloudcast #964 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:Clouded Judgement (Jamin Bell)100 Biggest SaaS CompaniesCOULD THE CLOUD HYPERSCALERS START LOOKING TO ACQUIRE SAAS COMPANIES?Do the hyperscalers start acting like Private Equity to acquire SaaS revenue streams?Do the hyperscalers start moving from primitive providers to bundlers?Do the hyperscalers have to make a choice between AI/CAPEX investment and SaaS investment?Do the hyperscalers figure out a way to spin-off the AI/CAPEX portions of their business for a period of time?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

On this episode of the Bob Ryan and Jeff Goodman NBA Podcast, Bob and Gary Tanguay discuss the latest AWS stats that will be used in NBA Broadcasts this season. They also discuss the latest moves in the NBA as training camp gets underway.  Bob Ryan and Jeff Goodman NBA Podcast is Powered by:

On this episode of Screaming in the Cloud, Corey welcomes back Chris Weichel, CTO of Ona (formerly Gitpod). Chris explains the rebrand and why Ona is building for a future where coding agents, not just humans, write software.They discuss what changes when agents spin up environments, why multi-agent workflows feel addictive, and how Ona is solving the scaling and safety challenges behind it.If you're curious about the next wave of software engineering and how AI will reshape developer tools, this episode is for you.About Chris: Chris Weichel is the Chief Technology Officer at Ona (formerly Gitpod), where he leads the engineering team behind the company's cloud-native development platform. With more than two decades of experience spanning software engineering and human–computer interaction, Chris brings a rare combination of technical depth and user-centered perspective to the systems he helps design and build.He is passionate about creating technology that empowers people and tackling complex engineering challenges. His expertise in cloud-native architecture, programming, and digital fabrication has earned him multiple publications, patents, and industry awards. Chris is continually exploring new opportunities to apply his broad skill set and enthusiasm for building transformative technology in both commercial and research settings.Show Highlights(00:00) Introduction to Modern Software Interfaces(00:55) Welcome to Screaming in the Cloud(01:02) Introducing Chris Weichel and Ona(02:23) The Evolution from Git Pod to Ona(03:26) Challenges and Insights on Company Renaming(05:16) The Changing Landscape of Software Engineering(05:54) The Role of AI in Code Generation(12:04) The Importance of Development Environments(15:44) The Future of Software Development with Ona(21:31) Practical Applications and Challenges of AI Agents(30:01) The Economics of AI in Software Development(38:11) The Future Vision for Ona(39:41) Conclusion and Contact InformationLinks: Christian Weichel LinkedIn: https://www.linkedin.com/in/christian-weichel-740b4224/?originalSubdomain=deOna: https://ona.com/https://csweichel.de/Sponsor: Ona: https://ona.com/

The payments landscape is experiencing regulatory upheaval, forcing financial institutions to rethink their approach to money movement modernization. With ISO message format changes, Swift updates, and evolving fraud requirements hitting simultaneously, banks are facing a complex web of compliance demands that require immediate attention. "The regulatory agenda for money movement is probably one of the most aggressive we have," said Elaine Duff, SVP and Head of Money Movement at FIS. "It's across the globe. We're seeing the ISO message intended to help firms standardize their messaging, become more efficient, and make their operations much more standardized." Yet the scale of change extends far beyond simple messaging updates. The oncoming change affects fraud tools, digital channels, reporting formats, and entire operational workflows. For many institutions, the traditional rip-and-replace approach to modernization has become both financially and operationally untenable. Nick Dovaras, Global Account Manager at AWS, emphasized the broader pressures driving urgency: "There's customer expectations as well. Customers are expecting 24/7, instant, and customer-friendly mobile applications that are connected to online systems.” Dive into this episode to hear about how financial institutions are navigating regulatory pressures through modular modernization strategies. FIS' Duff and AWS' Dovaras break down the critical role embedded fraud protection is playing in real-time payments, and why cloud-based solutions are enabling banks to modernize their money movement capabilities without the risks of traditional rip-and-replace approaches.

In this episode of Weld Wednesday with AWS, I sit down with Kevin Johnson, host of the Welding Business Owners Podcast, owner of JAMW Fabrication, and mastermind behind the Fabricator Olympics. Kevin shares lessons learned from starting his welding business, the importance of outsourcing, developing standard operating procedures, and finding a profitable niche. We also dive into customer management, quoting jobs effectively, and maintaining work-life balance while running a shop. Plus, Kevin gives us a behind-the-scenes look at the growing Fabricator Olympics, including exciting new events for 2025. Whether you're a seasoned shop owner or dreaming of starting your own business, this conversation is packed with valuable insights.   For more information on AWS Click Here Follow kevin on Instagram and Check out his Podcast Here

Network automation has a data problem. Traditional tools may hit limitations when managing complex infrastructure relationships. We explore how OpsMill’s InfraHub uses graph databases and temporal versioning to create what our guest calls “the knowledge graph of infrastructure” – enabling true version control at the database level while maintaining the flexibility to model anything from... Read more »

Recorded in front of a packed room at NYU's Kimmel Center during Climate Week NYC, Ed Crooks and Amy Myers Jaffe moderate a debate on the high-stakes topic of AI and energy. They dig deep into the questions raised by the surge of investment in data centers: what it means for grid stability and electricity bills, and how new technologies and market structures can help the power industry adapt.Climate Week this year often felt more like AI Week, given how many discussions were centred around it. To explore the issues, the team Ed and Amy are joined by representatives of two of the key companies at the heart of the revolution. Josh Parker is Head of Sustainability at NVIDIA, and Craig Sundstrom is Head of Energy & Sustainability Policy at AWS. Xizhou Zhou, Wood Mackenzie's Head of Power and Renewables, also joins the discussion, to add his perspectives on how the industry is changing The load shock is real. Xizhou says that more than 116 GW of US data centers are under construction or fully committed to interconnect in the next few years: equivalent to about 15% of US peak load today. After two decades of flat demand, the electricity industry must rebuild its muscle memory for rapid infrastructure build-out. US power prices went up 6% in the past year, with rates in some states going up far more. What is driving that surge? And what can be done to provide some relief for hard-pressed consumers? One answer comes from rapid progress in the technologies that make AI possible, including the chips. NVIDIA's Josh Parker notes NVIDIA has cut energy use for inference tasks by 100,000× over the past decade ,and by about 30× in just the past two years. Craig from Amazon explains how new grid-enhancing technologies could quickly make a difference, pointing to an AWS/RMI study showing that 6.5 GW of extra capacity could be freed up on the PJM grid without building any new transmission lines. He adds that AI is already helping in California, where smart battery dispatch is cutting costs in real time. Data centers don't only use electricity for computation: they create a lot of heat, too. Josh says there are ways to use that heat, and describes Scandinavian projects that use it for their local district heating networks. With geothermal and new small modular reactors unlikely to reach widespread deployment until well into the 2030s, the panel agrees that the real solutions in the next few years lie in upgrading transmission, expanding storage, redesigning rates, and building in flexibility.It's a busy and lively discussion, with a couple of questions from the audience answered by the panel. If you have any further questions or comments on the show, we'd love to hear them. You can comment on Spotify, leave a review on Apple Podcasts, or find us on YouTube and leave a comment there. Thanks!See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.