Podcasts about aws

Is the current level of AI funding and investment rational or irrational? Is it possible that it's both at the same time? Let's look at some numbers and the thought process behind them.SHOW: 976SHOW TRANSCRIPT: The Cloudcast #976 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:A whole bunch of AI-related statsSam Altman on BG2 podcastDO WE HAVE ANY IDEA HOW TO MEASURE THE IMPACT OF AI?How much is one model better than another (e.g. Gemini vs. CoPilot)?How much improvement should a software developer get?How much improvement should a knowledge worker get?How much cost savings should a chatbot provide?How long should it take to make a model understand a company's data?How many workers can a company displace with AI?OpenAI in 2030 - 26 gigawatts could power between 3.7 million to 17.3 million modern GPU serversOpenAI in 2035 - 50 gigawatts could power between 37 million to 173 million modern GPU serversFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Richardson Dackam, a solo developer known for rapidly creating AI-first SaaS products, shared insights into his development process during a recent episode of the Business of Tech. Dackam emphasizes the importance of identifying manageable problems that can be solved quickly, which he refers to as "done for you ideas." His approach involves extensive research to create a Product Requirement Document (PRD) and context engineering for AI agents, enabling him to build prototypes in a matter of hours or days. He leverages various services, such as Magic Link for authentication and Superbase for databases, to streamline his workflow.Dackam's success is exemplified by his application, 8nodes, which serves as a workflow generator for N8n, currently attracting around 500 users. He utilizes multiple distribution channels, including his YouTube channel and contributions to AI communities, to promote his tools. Although 8nodes is not yet generating revenue, Dackam is focused on improving the product's speed, which he identifies as a critical pain point for users. He tracks user engagement metrics daily to inform his optimization efforts.The episode also addresses the balance between rapid prototyping and maintaining product reliability and compliance. Dackam asserts that he builds with an SOC 2 compliance mindset, ensuring that user data is handled securely. He discusses the challenges of scalability and uptime, noting that he relies on services like AWS and Vercel to manage these aspects effectively. By separating his landing page from the application, he ensures that marketing efforts remain uninterrupted even if the app experiences downtime.For Managed Service Providers (MSPs) and IT service leaders, Dackam's approach highlights the potential for rapid development cycles while maintaining a focus on security and compliance. His insights into the challenges of integrating AI into business processes underscore the need for organizations to understand their workflows before adopting automation solutions. As businesses navigate the complexities of AI deployment, the emphasis on iterative improvement and user feedback can inform strategies for successful product development and market fit.

It's a chatty chat. I repeat, this one's a chatty chat. Today we're digging into the big weird questions on our desk: what percentage of Meta's revenue allegedly comes from knowingly running scam ads, what exactly recently pardoned Binance founder Changpeng Zhao did and why he walked free, and what happens when AWS—the concrete pad foundation of the modern internet—goes down. If long-form nerd talk isn't your vibe, totally fine—we'll catch you next time. For everyone else, here's some good good chattin' for your dishes, your commute, or whatever you're up to right this second. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Es gibt derzeit kein Thema, das so viele bewegt wie Künstliche Intelligenz. KI stellt die Zukunft der Arbeit auf den Kopf, Standorte vor große Herausforderungen, und Startups vor neue Chancen. Genau diese Themen diskutieren wir heute im Podcast, und zwar mit:Christoph Biegelmayer (Deputy Director der Wirtschaftskammer Wien)Stephanie Böhm (Mitgründerin norphluchs)Oliver Alf (Mitgründer und Managing Dircetor nexamind)Jakob Steinschaden (Mitgründer Trending Topics & newsrooms)Im Podcast geht es um:

Policy-as-Code is reshaping how modern teams enforce security and compliance. In this episode, we break down how organizations are replacing manual checks with automated, code-driven policies that integrate directly into CI/CD pipelines. If you're working with cloud, DevOps, or DevSecOps, this is a must-listen session to understand how PaC boosts consistency, scalability, and audit readiness.

Featured Product Sponsor: Werkz Light Bearing Holsters -  "WE MAKE HOLSTERS FOR PISTOLS WITH LIGHTS" Episode 421: Justin Carroll & Rich Brown — Competent and Dangerous In this powerful conversation, Rich Brown sits down with author, Marine veteran, former intel professional, and long-time friend of AWS Justin Carroll to dive deep into his new book, Competent and Dangerous. This episode breaks down what it truly means to be a capable, prepared, and resilient protector in a world that is shifting faster than most realize. In this episode you'll hear: Why Justin wrote Competent and Dangerous and who the book is designed to serve. The gap between "owning a gun" and "being dangerous enough to win." Justin's model for developing well-rounded capability across shooting, fitness, medical, communication, and decision-making. The realities of modern threat environments and why most citizens dramatically underestimate them. Why competence must precede confidence — and how to build both through structured training. The role of mindset, deliberate practice, and environment design in building daily habits that stick. Justin's take on preparedness culture — what we're doing right, and where most people are failing. Rich and Justin's shared experiences training, carrying, and working with real-world protectors. How to turn information into action and begin closing capability gaps immediately. Who is Justin Carroll? U.S. Marine Corps veteran Former intelligence professional Security, preparedness, and communications expert Author of multiple well-regarded works on readiness Instructor and long-time AWS contributor Host of the "Across the Peak" podcast One of the clearest voices in the modern preparedness and training community Why this episode matters: Because being armed is not the same as being dangerous. Justin's book and this conversation outline the roadmap for the modern citizen-protector: capable, adaptable, trained, and mentally resilient. Get the Book here!

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Three enterprise AI leaders from Archer, Demandbase, and Highspot reveal how top companies are implementing AI responsibly while navigating data privacy, bias prevention, and regulatory compliance challenges.Topics Include:AWS Security GM Brian Shadpour hosts three AI leaders discussing responsible enterprise deploymentDemandbase's Umberto Milletti explains tenant-based models ensuring first-party customer data remains confidentialHighspot's Oliver Sharp uses behavior-specific feedback frameworks to eliminate bias in sales assessmentsReal-time AI evaluation proves challenging when assessing dynamic sales conversations and customer interactionsCompanies create "second-party data" networks where customers opt-in to share insights collectivelyOpen-source models gain traction but require significant expertise for enterprise-grade implementationEU AI Act mandates human oversight, reshaping how companies design AI systems globallyArcher's Kayvan Alikhani extends identity management principles from web applications to AI agentsUnattended AI agents performing tasks autonomously create new security and accountability challengesHuman-in-the-loop oversight remains essential, especially for high-stakes decisions affecting customersFuture challenge: Determining when AI accuracy justifies removing costly human oversightEnterprise data hygiene becomes critical as AI systems need clean, reviewed internal dataParticipants:Kayvan Alikhani - Global Head of Engineering- Emerging Solutions, Archer Integrated Risk ManagementUmberto Milletti - Chief R&D Officer, DemandbaseOliver Sharp - Co-Founder & Chief AI Officer, HighspotBrian Shadpour - General Manager, Security, 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/

We dig into the recent major AWS outage, why a misconfiguration in one region called global issues, and whether there's anything you can do to avoid being affected by a similar incident in the future.   Gary mentioned an AWS whitepaper.             Support us on patreon and get an ad-free... Read More

At JupyterCon 2025, Jupyter Deploy was introduced as an open source command-line tool designed to make cloud-based Jupyter deployments quick and accessible for small teams, educators, and researchers who lack cloud engineering expertise. As described by AWS engineer Jonathan Guinegagne, these users often struggle in an “in-between” space—needing more computing power and collaboration features than a laptop offers, but without the resources for complex cloud setups. Jupyter Deploy simplifies this by orchestrating an entire encrypted stack—using Docker, Terraform, OAuth2, and Let's Encrypt—with minimal setup, removing the need to manually manage 15–20 cloud components. While it offers an easy on-ramp, Guinegagne notes that long-term use still requires some cloud understanding. Built by AWS's AI Open Source team but deliberately vendor-neutral, it uses a template-based approach, enabling community-contributed deployment recipes for any cloud. Led by Brian Granger, the project aims to join the official Jupyter ecosystem, with future plans including Kubernetes integration for enterprise scalability. Learn more from The New Stack about the latest in Jupyter AI development: Introduction to Jupyter Notebooks for DevelopersDisplay AI-Generated Images in a Jupyter Notebook Join our community of newsletter subscribers to stay on top of the news and at the top of your game.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We dig into the recent major AWS outage, why a misconfiguration in one region called global issues, and whether there's anything you can do to avoid being affected by a similar incident in the future.   Gary mentioned an AWS whitepaper.             Support us on patreon and get an ad-free … Continue reading "Hybrid Cloud Show – Episode 43"

AWS、運動会を開催？　動画「組体操で学ぶクラウド」を公開　人体ピラミッドで仕組みを解説。　アマゾンウェブサービスジャパンは11月12日、YouTubeチャンネルで動画「AWS 運動会 - 組体操で学ぶクラウド」を公開した。AWSの仕組みを組体操に例えることで、視覚的な分かりやすい説明を目指したコンテンツ。実際に動画の出演者たちが人体ピラミッドを組み、さまざまな概念を表現している。

Dan Nathan and Gene Munster discuss upcoming earnings for Nvidia and the recent trends in the technology and AI domain for major companies including SoftBank's sell-off of Nvidia shares. They also wrap up Q3 earnings for the 'Mag Seven' tech giants such as Microsoft, Meta, Amazon, Google, and Apple. They address key points about Microsoft's Azure growth, Meta's controversial spending on AI, Amazon's financials amidst AWS growth, Google's AI-driven search improvements, and Apple's forthcoming AI developments. The market's recent shift favoring AI-related stocks and the debate over Amazon's strategic investments without their own AI models are also covered. They conclude by emphasizing the significant role of Nvidia's next report and its effect on AI market sentiment. —FOLLOW USYouTube: @RiskReversalMediaInstagram: @riskreversalmediaTwitter: @RiskReversalLinkedIn: RiskReversal Media

André Arko, CEO of Spinel Cooperative and longtime Bundler maintainer, joins Corey Quinn to introduce RV, a new Ruby tool that installs Ruby in one second instead of 10-40 minutes by using precompiled binaries. Inspired by Python's UV, RV aims to simplify Ruby dependency management without the complexity of older tools like RVM and rbenv. They talk about why Ruby isn't actually dead, Apple's problem with shipping a five-year-old end-of-life Ruby in macOS, and the challenges of writing dependency managers in the language they manage. André also shares how he transitioned from a struggling nonprofit model to a cooperative that charges companies for expertise, proving that open source maintainers can build sustainable businesses without relying on donations.Show Highlights:(03:50) Introducing RV(05:12) The RVM vs rbenv Wars and Why They All Break Bundler(09:00) Why Your Mac Still Shows Ruby 3.0.0 in Your Prompt(11:00) The Chef vs Puppet Philosophy Divide(16:30) Installing Ruby in One Second vs 40 Minutes(18:13) Apple's Ancient System Ruby Problem(22:20) RV's Incremental Approach (24:23) Is Ruby Dead? (28:44) Why RV Is Written in Rust, Not Ruby(31:10) The Bundler Problem(32:15) The Financial Reality(38:00) Spinel's Plans to Make Money(39:23) How to Stay In Contact with AndréLinks:André Arko: https://arko.netBlue Sky: https://bsky.app/profile/indirect.ioSpinel Cooperative: https://spinel.coopSponsor: Duckbill: https://www.duckbillhq.com/

In today's Cloud Wars Minute, I take a look at how Oracle's bold multicloud partnerships — with Microsoft, AWS, and Google Cloud.Highlights00:15 — One of the ways in which Oracle has been distinguishing itself is not just with its new technology, but with interesting go-to-market approaches. Now, Ellison recently said that while Oracle's multicloud business, where its three competitors, Microsoft, AWS, and Google Cloud, all offer the Oracle Database to their customers, that revenue was up over 1,500%.01:11 — He said so far, almost all of that growth has been generated by the Microsoft partnership because it was the first to come on board. Ellison believes that as the AWS partnership and Google get up to speed — and they get all the infrastructure set up to support that — you'd think that's going to drive a new round of growth for the Oracle Database business.02:12 — Can the Oracle Database hit $20 billion in revenue in five years? Ellison seemed bullish on that. One reason is the new Oracle AI Database, purpose-built for the AI Revolution. Second is these multicloud partnerships. There's such a demand among customers who have wanted the Oracle Database but have felt trapped using Microsoft Azure, AWS, or Google Cloud.03:15 — The AI reasoning, which Ellison was calling it, also known as inferencing, is something a lot of companies are going to be doing when they take these new tools and say, “How do I suit this for my retail company or my clothing company or my trucking company?” That's where, Ellison said, everybody's going to want to do this. He sees massive demand for it.04:32 — In a full-length article that I have today on CloudWars.com, I offer four specific points on why this approach that Ellison led with Oracle — and that the others fully agreed to — is so important. It's a great trend moving forward in the direction of more capability, more choice, more power in the hands of customers here in the buyer-seller equation. Visit Cloud Wars for more.

Digital intelligence is reshaping how organizations work, and success depends on integrating multiple domains, using real-time analytics, and ensuring strong cyber protections as data grows and risks increase  This week, Dave, Esmee, and Rob talk with Chris Carter, Director - Key Accounts and Australia at BAE Systems Digital Intelligence, to explore the fast-moving world of digital intelligence, data, and analytics and dive into the complexities of the work, how rapidly the landscape is evolving, and the major challenges organizations face today.  TLDR:00:41 Introduction of Chris Carter03:00 Rob is confused by the idea of renting out brain capacity for compute power07:13 Chris discusses the fusion of data, AI, and human judgment in complex environments34:30 Are we giving enough attention to human cognitive capacity?42:34 Rugby tickets with the family  GuestChris Carter: https://www.linkedin.com/in/chriscarter3/ 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 

An airhacks.fm conversation with Gabriel Pop (@vwggolf3) about: transition from individual contributor to engineering management since 2011, managing developer tools and AWS code suite services, discussion of AWS CodeCommit entering maintenance mode but maintaining performance and security standards, benefits of AWS CodeBuild as a serverless build service, using CodeBuild for running JARs and automated testing, proper channels for submitting AWS feature requests through documentation and github repos, CodeArtifact as artifact repository for Java JARs and other packages, using S3 for serverless lambda deployment artifacts, multi-account architecture patterns for build systems, CodeDeploy flexibility for various deployment scenarios including ECS rolling updates, lifecycle hooks in CodeDeploy for Lambda deployments, Code Connections for secure third-party repository integration without storing secrets, CodePipeline as orchestrator for CI/CD workflows, CodePipeline V2 features with tag-based triggers for release automation, event-driven architecture using Amazon EventBridge with CodeBuild and CodePipeline events, comparison with GitHub Actions and Jenkins integrations, philosophy of using AWS-native services for consistency and security, Step Functions as alternative orchestration tool, importance of automation and infrastructure as code with CDK, challenges of prioritization and trade-offs in AWS service development, AWS region expansion and service availability, end-to-end testing strategies with Java interfaces and MicroProfile, security best practices with least privilege and dedicated build accounts, developer experience improvements and console UI updates, community engagement through AWS Hero program and user groups Gabriel Pop on twitter: @vwggolf3

Overview: In this episode of the SMB Community Podcast, hosts Amy and James discuss the importance of timely year-end planning for IT professionals, suggesting October as the ideal start time for preparation. They cover effective strategies for developing annual goals, emphasizing the need for a personalized approach and tactical objectives. The hosts also examine the recent cloud outages from AWS and Azure, stressing the importance of diversifying cloud services. They touch on the growing presence of AI in technology and its implications for MSPs. Additionally, they explore the upcoming 50th anniversary of Apple and the rumors surrounding new product releases. The episode concludes with tips on maintaining high customer service standards and the excitement of holiday preparations.  --- Chapter Markers: 00:00 Introduction and Welcome 01:54 MSP Question of the Week: New-Year Planning 08:51 News Highlights: AWS Outage 12:22 Tech Talk: Apple's 50th Anniversary and AI Innovations 14:41 Economic Insights: Tech Layoffs and MSP Growth 20:02 AI in Browsers and MSP Strategies 21:10 Holiday Preparations and Personal Stories 24:42 Conclusion and Farewell --- New Book Release: I'm proud to announce the release of my new book, The Anthology of Cybersecurity Experts! This collection brings together 15 of the nation's top minds in cybersecurity, sharing real-world solutions to combat today's most pressing threats. Whether you're an MSP, IT leader, or simply passionate about protecting your data, this book is packed with expert advice to help you stay secure and ahead of the curve. Available now on Amazon! https://a.co/d/f2NKASI --- Sponsor Memo: Since 2006, Kernan Consulting has been through over 30 transactions in mergers & acquisitions - and just this past year, we have been involved in six (6). If you are interested in either buying, selling, or valuation information, please reach out. There is alot of activity and you can be a part of it. For more information, reach out at kernanconsulting.com

In an interview at JupyterCon, Brian Granger — co-creator of Project Jupyter and senior principal technologist at AWS — reflected on Jupyter's evolution and how AI is redefining open source sustainability. Originally inspired by physics' modular principles, Granger and co-founder Fernando Pérez designed Jupyter with flexible, extensible components like the notebook format and kernel message protocol. This architecture has endured as the ecosystem expanded from data science into AI and machine learning. Now, AI is accelerating development itself: Granger described rewriting Jupyter Server in Go, complete with tests, in just 30 minutes using an AI coding agent — a task once considered impossible. This shift challenges traditional notions of technical debt and could reshape how large open source projects evolve. Jupyter's 2017 ACM Software System Award placed it among computing's greats, but also underscored its global responsibility. Granger emphasized that sustaining Jupyter's mission — empowering human reasoning, collaboration, and innovation — remains the team's top priority in the AI era. Learn more from The New Stack about the latest in Jupyter AI development: Introduction to Jupyter Notebooks for Developers Display AI-Generated Images in a Jupyter Notebook  Join our community of newsletter subscribers to stay on top of the news and at the top of your game.    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Most sales leaders start with the comp plan - but the smartest start with strategy. In this episode of the B2B Sales Trends Podcast, host Harry Kendlbacher sits down with Jahangir Iqbal, VP of Central Operations and Sales Compensation at Palo Alto Networks, to unpack how strategic sales compensation can activate your GTM strategy, drive the right behaviors, and inspire sales teams to perform with clarity and purpose.

Diese Episode bietet einen komprimierten, inspirierenden Blick auf den AI Advantage Summit von Tony Robbins und Dean Graziosi (6.–8. November 2025), ein globales Ereignis, das Führung neu definiert:Zwischen Menschlichkeit und künstlicher Intelligenz. Zwischen Bewusstsein und Technologie. Zwischen Herz und System. In dieser Folge erfährst du, wie Führung in Zukunft aussehen wird, jenseits von Hype, Angst oder Kontrollverlust:▶️ Wie wir KI nicht fürchten, sondern als Verstärkung nutzen.▶️ Wie Agentic Leadership entsteht: die bewusste Orchestrierung von Menschen und KI-Agenten.▶️ Wie Glück, Sinn und Performance zu einer neuen Dimension von Leadership verschmelzen.Diese Episode ist dein Deep Dive in das, was Leadership 2025+ ausmachen wird: Eine Einladung, deine Rolle als Leader:in neu zu denken – bewusster, agiler, menschlicher.

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

Today we delve into the tech expertise deficit and why technical depth and decades of doing the work matter more than social media followers and content creation hype. Our guest is Russ White, engineer, author, teacher, and certification developer. We begin with current events in AI, and then investigate the differences between career and influence... Read more »

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **SnapLogic CTO Jeremiah Stone reveals how they evolved from open-source to AI-powered integration platform, doubled AI adoption with one UX change, and delivers measurable enterprise ROI.Topics Include:SnapLogic CTO shares their decade-long journey building AI-powered integration with AWS partnership.SnapLogic drives "human cost of integration to zero" for thousands of global companies.Started as open-source project, pivoted to cloud in 2015 with AWS infrastructure.Began AI workloads in 2018, predicting next steps in integration workflows using models.Became AWS Bedrock launch partner, completely reinventing their product for generative AI era.SnapLogic lives through transformations first, then credibly helps ISV customers do same.Helped Adobe migrate entire CRM from Salesforce to Microsoft over single weekend.Built normalized data architecture using S3, Iceberg, Glue for analytics-ready enterprise data.SnapGPT copilot converts plain language prompts into complete integration pipelines in minutes.Live demo shows generating Salesforce-to-Redshift pipeline with filters using natural language commands.Small UX tweak adding helpful header doubled monthly active users of SnapGPT.Changed legal agreements in 2017 to capture metadata, enabling AI features years later.Agent Creator delivers ROI across customers: Inspirant, Core Plus, AstraZeneca use cases.SnapLogic's own finance team cut order reconciliation from 40 hours monthly to 90 minutes.Key lessons: governance first, understand business impact, use AWS native patterns consistently.Participants:Jeremiah Stone – Chief Technical Officer, SnapLogicOlawale Oladehin – Managing Director, NAMER Technology Segments, 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, I delve into OpenAI's $38 billion partnership with AWS, giving Amazon a major role in powering and scaling OpenAI's AI workloads.Highlights0:03 — OpenAI and AWS have announced a multi‑year strategic partnership valued at $38 billion for AWS. This deal will enable AWS to provide the infrastructure necessary to support the operation and scaling of OpenAI's AI workloads. OpenAI is currently utilising computing resources through AWS, which include hundreds of thousands of NVIDIA GPUs and the capability to scale up to tens of millions of CPUs.01:02 — The infrastructure rollout for OpenAI includes architecture optimised for maximum AI processing efficiency and performance, with clusters designed to support a variety of workloads such as inference for ChatGPT and model training. This latest deal is yet another staggering example of the demand for AI services — a demand that companies like OpenAI must invest billions in to keep up with the pace.01:55 — OpenAI recently signed several significant deals with technology partners, including a remarkable $300 billion agreement with Oracle. While that figure might seem outrageous, it puts the $38 billion into a more relatable context. One thing is clear: wherever you stand in the AI revolution, whatever your role is — just make sure that you have one, because this unprecedented growth is touching every corner of the business world. Visit Cloud Wars for more.

Welcome to Omni Talk's Retail Daily Minute, sponsored by Mirakl. In today's Retail Daily Minute, Omni Talk's Chris Walton discusses:Pizza Hut capitalizes on Gen Alpha's viral "67" meme with 67-cent boneless wings, proving fast food brands can quickly translate digital trends into physical sales.Wawa closes its last standalone drive-thru in Florida, ending a five-year experiment that highlights operational challenges for fuel-less convenience stores.Infios and AWS collaborate to bring agentic AI to supply chain execution, launching intelligent workflows in 2026 that will proactively detect fulfillment anomalies and optimize order management.The Retail Daily Minute has been rocketing up the Feedspot charts, so stay informed with Omni Talk's Retail Daily Minute, your source for the latest and most important retail insights. Be careful out there!

Jupyter AI v3 marks a major step forward in integrating intelligent coding assistance directly into JupyterLab. Discussed by AWS engineers David Qiu and Piyush Jain at JupyterCon, the new release introduces AI personas— customizable, specialized assistants that users can configure to perform tasks such as coding help, debugging, or analysis. Unlike other AI tools, Jupyter AI allows multiple named agents, such as “Claude Code” or “OpenAI Codex,” to coexist in one chat. Developers can even build and share their own personas as local or pip-installable packages. This flexibility was enabled by splitting Jupyter AI's previously large, complex codebase into smaller, modular packages, allowing users to install or replace components as needed. Looking ahead, Qiu envisions Jupyter AI as an “ecosystem of AI personas,” enabling multi-agent collaboration where different personas handle roles like data science, engineering, and testing. With contributors from AWS, Apple, Quansight, and others, the project is poised to expand into a diverse, community-driven AI ecosystem.Learn more from The New Stack about the latest in Jupyter AI development: Introduction to Jupyter Notebooks for DevelopersDisplay AI-Generated Images in a Jupyter NotebookJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us a textIn this episode of What's New in Cloud FinOps, hosts SteveO and Frank discuss the latest updates from the TBM conference, then moving on to their usual FinOps news, with many AWS news: new EC2 instances, cost management innovations, and sustainability initiatives in cloud services. They explore the implications of Lambda billing changes, real-time bidding technology, and the evolving landscape of cloud financial management training. Chapters00:00 Introduction and Conference Insights02:07 AWS News Highlights06:45 New EC2 Instances and Performance Improvements10:41 Data Management and Optimization Tools14:07 Storage Innovations and Cost Efficiency18:34 Capacity Management and Kubernetes Integration21:57 Pricing Changes and Licensing Optimization27:39 Emerging Technologies and Cost Savings28:46 AWS RTB Fabric for Real-Time Advertising30:50 AWS Service Availability Updates33:19 Sunsetting AWS Services34:41 Amazon Q Developer: Cost Management Tool38:27 Kronos 2: Advanced Forecasting Model39:20 Upcoming FinOps Sessions at reInvent 202541:30 GCP Anomaly Detection Features43:19 Azure's Environmental Sustainability Features44:54 AWS Customer Carbon Footprint Tool Update46:21 New FinOps Training Courses

Certificates are the socks of IT—everyone needs them, and you always lose track of a few. On today’s show we dive into the ACME protocol, an IETF standard to help automate how a domain owner gets a domain validation certificate from a Certificate Authority (CA). Our guest, Ed Harmoush, a former network engineer with AWS... Read more »

Certificates are the socks of IT—everyone needs them, and you always lose track of a few. On today’s show we dive into the ACME protocol, an IETF standard to help automate how a domain owner gets a domain validation certificate from a Certificate Authority (CA). Our guest, Ed Harmoush, a former network engineer with AWS... Read more »

What is "spec-driven development," and why is this structured approach the key to unlocking complex AI projects? We're joined by Amit Patel, Director of Software Development for Kiro at AWS, to explore this methodology. He explains why "vibe coding" in a chat window fails on multi-day initiatives: the AI (and the developer) loses context. Kiro solves this by turning requirements and design into a persistent, structured spec that acts as the agent's long-term memory, enabling it to maintain context and build sophisticated applications.Amit shares the inside story of how his team at AWS built Kiro from scratch in under a year. He reveals their virtuous feedback loop with internal developers testing nightly builds and providing real-time feedback. This rapid iteration, which included six full revs of the spec experience, was so successful that the Kiro team famously "used the tool to build the tool," turning a multi-week feature into a two-day task. LinearB: Your AI productivity journey starts hereFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Learn more and try Kiro: kiro.devJoin the Kiro Community: Kiro Discord Channel OFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

We break down how a small DNS error inside AWS rippled into a global outage, and why it affected everything from uploads to streaming to... beds? Andy Szoke, Developer at Punchmark, joins us to explain cloud basics, Lambda bottlenecks, and redundancy.Send us a text Send feedback or learn more about the podcast: punchmark.com/loupe Learn about Punchmark's website platform: punchmark.com Inquire about sponsoring In the Loupe and showcase your business on our next episode: podcast@punchmark.com

In this episode, Michael talks with Eliot Horowitz, founder of MongoDB and now CEO of Viam, about why the physical world is lagging behind the AI revolution and how Viam is building the foundational platform robotics has been missing. Eliot shares why robotics needs its “AWS moment,” how better tools can shrink development timelines from years to months, and why practical automation, from kitchen assistants to back-of-house restaurant robots, will arrive long before humanoids. Learn more about your ad choices. Visit megaphone.fm/adchoices

Dive into KubeVirt with the vBrownBag crew and guest Eric Shanks!

AI Assistants have changed the way we live and work, and they continue to evolve. In this episode, we are joined by Art Chan, Worldwide Gen AI Specialist at AWS to talk about the unique goals and requirements businesses have when it comes to AI Assistants. We discuss they are changing the way we work as well as unexpected ways people are using this new technology. We then dive into Amazon Quick Suite, an AI powered workplace that connects employees to a wide range of data to help find answers and insights while maintaining security and privacy. For more on Amazon Quick Suite:https://aws.amazon.com/quicksuite/AWS Hosts: Nolan Chen & Malini ChatterjeeEmail Your Feedback: rethinkpodcast@amazon.com

How do you run one of the world's largest sovereign wealth funds (nearly $2 trillion) while innovating responsibly? In this episode of AWS Executive Insights, hear from Birgitte Bryne, CTO & COO of Norway's Norges Bank Investment Management (NBIM), about how NBIM is leveraging data-driven decision making and AI innovation to achieve resilience in the financial world. Take a listen as Tanuja Randery, AWS Managing Director for EMEA, interviews Byrne about NBIM's disciplined approach to digital transformation, including their decision to migrate to AWS public cloud and groundbreaking “Investment Simulator,” which uses AI to optimize trading decisions. Listeners will gain actionable insights on balancing innovation with pragmatism, building a culture of resilience, and leveraging generative AI for competitive advantage.

On this episode of The Six Five Pod, hosts Patrick Moorhead and Daniel Newman discuss the latest tech news stories that made headlines. This week's handpicked topics include:    OpenAI signs a 7-year, $38B cloud deal with AWS to secure massive GPU capacity and diversify beyond Microsoft. Announced Nov 3 (Pat) https://x.com/PatrickMoorhead/status/1985358316592079054?s=20  https://x.com/PatrickMoorhead/status/1985352179444863072?s=20  U.S. to block Nvidia's scaled-down AI chips to China; Nvidia CEO says there are "no active discussions" to sell Blackwell there. Nov 7. (Dan) https://x.com/PatrickMoorhead/status/1986380431260815544?s=20  https://x.com/PatrickMoorhead/status/1985690392239513969?s=20  Microsoft's UAE Nvidia AI chip deal: Microsoft secured U.S. government approval to ship 60,000 Nvidia AI chips to the UAE, with a broader $9.7 billion contract for AI cloud services. (Dan) Google makes Ironwood TPUs generally available and adds new Axion Arm VMs for inference-heavy workloads. Announced Nov 6 (Pat) https://x.com/PatrickMoorhead/status/1986854566835748959?s=20  Kimi 2 Thinking costs $4.6M Dan  https://x.com/PatrickMoorhead/status/1986930007554531470?s=20  Cheap MacBook (pat) https://x.com/PatrickMoorhead/status/1985774551318368696?s=20  Bulls & Bears Arm Earnings  https://x.com/PatrickMoorhead/status/1986771536960008301 https://investors.arm.com/static-files/bde7f15e-4bc8-4524-a0e9-e016889b520d https://x.com/danielnewmanUV/status/1986203347439824919 AMD Earnings  https://x.com/PatrickMoorhead/status/1985979219352908272 https://ir.amd.com/news-events/press-releases/detail/1265/amd-reports-third-quarter-2025-financial-results https://x.com/danielnewmanUV/status/1985822986063266013 https://x.com/danielnewmanUV/status/1985835687309165063 https://x.com/danielnewmanUV/status/1985895752372289986 Qualcomm Earnings  https://x.com/PatrickMoorhead/status/1986764581293977813 https://investor.qualcomm.com/news-events/press-releases/news-details/2025/Qualcomm-Earnngs-Release-Available-on-Companys-Investor-Relations-Website-c44bca3cf/default.aspx https://x.com/danielnewmanUV/status/1986185406744871045 Coherent Earnings  https://x.com/PatrickMoorhead/status/1986774118985794034 https://www.coherent.com/news/press-releases/first-quarter-fiscal-year-2026-results https://x.com/danielnewmanUV/status/1986205975171190977 Lattice Semiconductor Earnings  https://x.com/PatrickMoorhead/status/1985983349916143977 https://x.com/danielnewmanUV/status/1985475655241232529  

In this episode of TBCY, host Stephen Ibaraki sits down with Meridith Grundei, a Strategic Communication Partner and Experience Director with a remarkable journey from theater and improv to consulting for tech giants like Amazon, AWS, Google, Pfizer, and Panasonic. Meridith opens up about her transformative life inflection points, overcoming shyness through the arts, and harnessing the power of storytelling to help leaders amplify their presence and create authentic connections.From her early experiences as a dancer terrified to use her voice, to becoming a trailblazer in improv and youth theater at Second City, Meridith shares inspiring lessons on personal growth, resilience, and leading with curiosity. Hear how she redesigned her career after personal and family upheavals, ultimately channeling her creative talents into empowering others.If you're looking for guidance on overcoming confidence barriers, finding your authentic voice, or elevating your impact as a leader, this episode is full of actionable insights and heartfelt storytelling.

A new AI-led tech role has emerged with a massive increase of job postings, Corey Quinn explains why younger devs won't tolerate pain in the AWS, Thomas Ptacek makes the case that you should write an agent, Paul Kinlan goes deeper on his dead framework theory, and Andrew Gallagher says to stop vibe coding your unit tests.

AWS Morning Brief for the week of November 10th, with Corey Quinn. Links:AWS PrivateLink now supports cross-region connectivity for AWS ServicesAWS announces new partnership to power OpenAI's AI workloadsPrompt engineering with PartyRock: A guide for educators New whitepaper available – AI for Security and Security for AI: Navigating Opportunities and ChallengesFrom Business Logic to Working Code: How AWS Kiro Changes Who Can BuildCVE-2025-31133, CVE-2025-52565, CVE-2025-52881 - runc container issues Amazon CloudWatch Application Signals adds AI-powered Synthetics debuggingInside Amazon Connect: The evolution of a disruptorHow Indeed scaled Governance across 1,000+ AWS accounts with AWS Trusted Advisor Improper authentication token handling in the Amazon WorkSpaces client for LinuxHow Omnissa saved millions by migrating to Amazon RDS and Amazon EC2The Swift AWS Lambda Runtime moves to AWSLabsCVE-2025-12815 - RES web portal may display preview of Virtual Desktops that the user shouldn't have access to

The U.S. job market is experiencing a gradual slowdown, with the unemployment rate rising to 4.36% in October 2025, according to estimates from the Chicago Federal Reserve. Despite an increase in layoff announcements, initial unemployment claims remain low at 229,000, indicating some stability. Major companies like Amazon, UPS, and Target have announced significant job cuts, but studies suggest these layoffs are not primarily driven by artificial intelligence (AI) advancements. Instead, financial pressures and a lack of productivity gains from AI are cited as the main factors, with 96% of businesses reporting no significant efficiency improvements from AI implementations.Trust in generative AI is growing, with 48% of respondents expressing complete trust in these systems, compared to only 18% for traditional AI. However, only 40% of organizations are investing in governance and ethical safeguards, raising concerns about complacency rather than genuine trust. Gartner predicts that by 2026, half of companies will require AI-free critical thinking skills assessments, reflecting a growing dependency on AI. Additionally, a trend of rehiring laid-off employees suggests that the anticipated efficiency gains from AI may not be materializing as expected.The episode also highlights the transition of small and medium-sized businesses (SMBs) to AI-powered personal computers, driven more by the end of Windows 10 support than by a desire for AI features. Over 60% of SMBs prioritize performance, reliability, and security in their purchasing decisions. Managed service providers (MSPs) are positioned as essential partners in guiding these businesses through the upgrade process, especially as hiring slows and automation becomes more critical.For MSPs and IT service leaders, the key takeaway is to focus on delivering tangible value rather than succumbing to AI hype. As companies seek reliable solutions amidst economic uncertainties, MSPs can capitalize on the opportunity to provide guidance on effective technology implementations, compliance, and governance. The evolving landscape underscores the importance of building trust through measurable results and strategic partnerships, particularly as hyperscalers like Google and AWS enhance their AI infrastructure capabilities.  Four things to know today00:00 Everyone's Blaming AI for Layoffs — But the Real Problem Is Old-Fashioned Economics04:35 Generative AI Gains Global Trust, But Weak Governance and Deferred Spending Signal Market Correction Ahead09:29 SMBs Upgrade for Security, Not AI — MSPs Poised to Benefit as Hiring Stalls and Demand for Guidance Rises12:41 Google Unveils Ironwood AI Chip as AWS Expands MSP Program — Hyperscalers Double Down on AI Infrastructure and Partner Enablement This is the Business of Tech.    Supported by:  https://scalepad.com/dave/https://cometbackup.com/?utm_source=mspradio&utm_medium=podcast&utm_campaign=sponsorship

In this milestone 200th episode of The PowerShell Podcast, Frank Lesniak returns to chat with Andrew Pla about automation, community, and what it means to “bet on yourself.” Frank shares his experiences leading cybersecurity and enterprise architecture projects, using PowerShell for AWS security automation, and developing tools to simplify complex data exports. He also discusses the upcoming PowerShell Summit, his work with DuPage Animal Friends, and the value of giving back through mentorship, community involvement, and open source.   Key Takeaways: PowerShell in the cloud – Frank dives deep into AWS automation and explains how PowerShell can simplify security and configuration management at scale. From console to community – After years of speaking and mentoring, Frank emphasizes how collaboration and consistent effort lead to career growth and confidence. Giving back through leadership – As VP of DuPage Animal Friends, Frank highlights the power of using your professional skills for good beyond tech. Guest Bio: Frank Lesniak is a Sr. Cybersecurity & Enterprise Technology Architect at West Monroe, where he leads a 45-member team focused on Microsoft's M365/Modern Work platform. His team specializes in navigating the technical complexities of corporate M&A, executing at-scale divestitures and integrations centered on Azure, Microsoft 365, Entra ID, Active Directory, and Windows. An active contributor to the tech community, Frank is a published author, open-source contributor, and a frequent speaker at conferences and user groups on topics including PowerShell, artificial intelligence, and offbeat technical talks related to his hobbies. In his local community, he serves as the Vice President of DuPage Animal Friends, a non-profit dedicated to supporting DuPage County's sole open-admission animal shelter.   Resource Links: Connect with Frank -https://linktr.ee/franklesniak Frank Lesniak on X (Twitter) – https://x.com/FrankLesniak Frank on LinkedIn – https://linkedin.com/in/flesniak Connect with Andrew - https://andrewpla.tech/links DuPage Animal Friends – https://dupageanimalfriends.org Previous Podcasts with Frank - https://powershellpodcast.podbean.com/?s=Frank%20Lesniak PowerShell Wednesdays – YouTube Playlist PDQ Discord (PowerShell Scripting Channel) – https://discord.gg/PDQ PowerShell Summit OnRamp Scholarship – https://www.powershellsummit.org/on-ramp/ The PowerShell Podcast on YouTube: https://youtu.be/cQvs5s3T1DA

У свіжому дайджесті DOU News поговоримо про падіння акцій GTA 6, угоду Apple з Google та масштабну співпрацю OpenAI з AWS. А ще — про витік коду App Store, нову ШІ-війну між Amazon і Perplexity та інші теми українського ІТ та світового тек-сектору. Таймкоди 00:00 Інтро 00:24 НБУ хоче оподаткувати посилки до €150 02:41 Оборонні компанії зможуть бронювати працівників попри розшук 04:27 «DevOps Engineer» — курс від robot_dreams 05:43 Apple уклала угоду з Google на $1 млрд на рік 08:03 Новий випуск «копінги та допінги» з керівницею Google Україна 08:37 Apple випадково злила код нового App Store 09:58 iOS, iPadOS і macOS змінили Liquid Glass 12:30 Meta заробляє мільярди на шахрайських рекламах у Facebook 14:59 OpenAI уклала угоду з AWS на $38 млрд 16:31 Amazon і Perplexity розпочали війну ШІ-браузерів 18:33 ШІ-браузер Dia отримує найкращі функції Arc 21:37 Акції видавця GTA 6 впали після перенесення релізу 23:33 Нова святкова реклама Coca-Cola створена ШІ 25:47 Приватна компанія запустила власну космічну станцію 28:43 Що цього тижня рекомендує Женя: qqqa — LLM для розробників та подкаст про Rolex

** AWS re:Invent 2025 Dec 1-5, Las Vegas - Register Here! **Vice President of Solution Engineering Chris Timmerman reveals how Boomi's integration platform evolved into a no-code AI agent builder on AWS, serving 22,000 enterprises while solving the 95% failure rate in AI production deployments.Topics Include:Chris Timmerman shares his 9-year journey from Field CTO to VP Solution Engineering at BoomiBoomi connects cloud and on-premise systems, helping enterprises move data seamlessly since early 2000sThe platform serves 22,000+ customers, from order-to-cash processes to complex M&A integrationsNew CEO Steve Lucas pivoted Boomi toward generative AI when ChatGPT emergedBoomi approaches AI three ways: internal automation, product enhancement, and customer enablementAI Agent Studio lets users build agents on AWS Bedrock without writing codeAgent Garden marketplace allows partners to share specialized agents for Salesforce, NetSuite, and moreChris reveals 95% of enterprise AI projects fail to reach production due to data issuesAWS partnership since 2018 provides infrastructure plus hands-on engineering collaboration for problem-solvingHackathons with AWS engineers generate excitement and innovative solutions for customer challengesChris advises new AWS partners: "Don't be afraid to ask for help" and be transparentFuture vision: Partner with market leaders like AWS rather than reinvent foundational AI frameworksParticipants:Christopher Timmerman – Vice President, Solution Engineering, BoomiSee how Amazon Web Services gives you the freedom to migrate, innovate, and scale your software company at https://aws.amazon.com/isv/

“We are moving beyond simple query-response to task completion.” AWS's Swami Sivasubramanian joins Bloomberg Intelligence Software and Technology Analyst Anurag Rana to contrast consumer chatbots with enterprise agents and the controls they require. Topics include Agent Core for secure deployment (identity, tool use, memory, observability), QuickSuite for business users, Kero for developer workflows, and Transform for code modernization. Their conversation extends into data access across silos, model choice on Bedrock, and why production agents demand governance, connectors, and context. 

In today's Cloud Wars Minute, I call out AWS's slowdown in both innovation and momentum, as the rest of the hyperscalers redefine the future of cloud.Highlights00:15 — Now it's been interesting here as we watch the four hyperscalers recently, Microsoft, AWS, Google Cloud, and Oracle. We hear that cliche about a rising tide lifts all boats. And I would say that AWS is definitely the one of the four hyperscalers that is rising less slowly, less quickly, and to not as great a height.01:08 — AWS is the company that created the cloud infrastructure business, and for most of those 19 years, AWS deserved to be called the King of the Cloud. But a few years ago, Microsoft's cloud, Azure, became, you know, quite prominent. Google Cloud started to innovate wildly. Oracle has been on fire. AWS lost the role, the opportunity, the swagger of being the leader02:16 — It is now the follower. AWS is not the innovator, either in technology or in go-to-market ways, and these financial results prove that they certainly had a very nice Q3. You can't just bring metrics or comparative performance from other industries and apply it to the Cloud Wars. Those numbers that AWS put up were just not anywhere close to as good as those of its competitors.03:36 — So, in either of those cases, AWS is being dramatically outgrown by the other three hyperscalers. There's just no way around it, and in a detailed article that I'll have on cloudwars.com later today, I lay that out both for the quarterly numbers and the latest RPO and backlog figures.04:23 — And in the AI Revolution, these four companies are in large part helping the entire global economy to establish, "How am I going to move forward? What am I going to need to do?" The other three have all stolen the jump on AWS and become much more dynamic, and that's revealed in the customer demand, expressed as quarterly revenue and also going forward as RPO or backlog.05:28 — What we're seeing here is the fact that this, this notion of innovation, of, you know, relentless performance, relentless excellence, relentless progress. It can be brutal at times. And while AWS is a big, successful company, is going to be around for a long time, the numbers are showing it is no longer anywhere close to the leader. Visit Cloud Wars for more.

A new AI-led tech role has emerged with a massive increase of job postings, Corey Quinn explains why younger devs won't tolerate pain in the AWS, Thomas Ptacek makes the case that you should write an agent, Paul Kinlan goes deeper on his dead framework theory, and Andrew Gallagher says to stop vibe coding your unit tests.

In the history of technology era changes, things tend to change slowly at first, and then quickly all at once. We've now reached the beginning of the all-at-once era of AI change. SHOW: 974SHOW TRANSCRIPT: The Cloudcast #974 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:The Benefit of Bubbles (Stratechery)Cube Research - Energy needs of AIAre we building AI for Progress or Power? (Prof G Markets)Amazon earnings call (Oct 2025) transcriptMicrosoft Azure earnings call (Oct 2025) transcriptWHAT WAS THE LEADING AI TREND FOR EACH YEAR?2022 - What is ChatGPT2023 - What can GenAI do? (Jobs, Skills, etc.)2024 - Alternatives to OpenAI and NVIDIA, Where is Google?, Where is AWS?2025 - Open source in AI, AI Regulations, AI Partnerships, Deep Seek, AI Agents, AI Funding, AI Power Challenges, AI Gov't Involvement2026 - ???FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Tal Peleg, Senior Product Manager, and Coby Abrams, Cyber Security Researcher of Varonis, discussing their work and findings on Rusty Pearl - Remote Code Execution in Postgres Instances. The flaw could allow attackers to execute arbitrary commands on a database server's operating system, leading to potential data theft, destruction, or lateral movement across networks. While the vulnerability existed in PostgreSQL, Amazon RDS and Aurora were not affected, thanks to built-in protections like SELinux and AWS's automated threat detection. Still, the research underscores the importance of patching and configuration hygiene in managed database environments. The research can be found here: ⁠⁠⁠⁠Rusty Pearl: Remote Code Execution in Postgres Instances Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode Todd Conklin joins Jowanza Joseph to explore modern safety thinking: why human error is normal, how context shapes behavior, and why leadership response and system recoverability matter more than blame. They draw on examples from Los Alamos, AWS outages, SpaceX and everyday technology to show how organizations can design systems that tolerate failure and learn from it. Listeners will get practical insights into the five principles of human performance and how to build resilient systems that fail safely and recover quickly.

Já diz a vasta sabedoria popular: Quem tem um backup, não tem nenhum! No Nerd na Cloud de hoje, vamos analisar a recente queda nos servidores da AWS, que paralisaram boa parte dos serviços online pelo mundo. Discutiremos o que realmente aconteceu, e o que aprendemos para evitar o mesmo problema no futuro! MAGALU CLOUD Conheça o Magalu Cloud: https://jovemnerd.short.gy/Magalu_Cloud_Nerd_na_Cloud ARTE DA VITRINE: Randall Random EDIÇÃO COMPLETA POR RADIOFOBIA PODCAST E MULTIMÍDIA Mande suas críticas, elogios, sugestões e caneladas para nerdcast@jovemnerd.com.br Learn more about your ad choices. Visit megaphone.fm/adchoices