Screaming in the Cloud

Corey Quinn

Screaming in the Cloud with Corey Quinn features conversations with domain experts in the world of Cloud Computing. Topics discussed include AWS, GCP, Azure, Oracle Cloud, and the "why" behind how businesses are coming to think about the Cloud.

  1. AI, Authenticity, and the Future of Podcasting with Chris Hill

    FA 6 DIES

    AI, Authenticity, and the Future of Podcasting with Chris Hill

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

    27 min
  2. Coding Agents and the Inevitable AI Bubble with Eric Anderson

    12 DE FEBR.

    Coding Agents and the Inevitable AI Bubble with Eric Anderson

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

    29 min
  3. Fixing Shadow AI and Surviving re:Invent with Chase Douglas

    5 DE FEBR.

    Fixing Shadow AI and Surviving re:Invent with Chase Douglas

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

    33 min
  4. Building Software While Keeping Humans in Charge

    29 DE GEN.

    Building Software While Keeping Humans in Charge

    Alyss Noland, who works on Cloud Dev Ecosystem at Nvidia, is back on the show to talk about building software with AI when you're not a real developer. Alyss runs a program that gives AI startups access to Nvidia GPUs and uses AI tools herself to build production software at Nvidia. Corey and Alyss discuss using AI to help curate newsletters without actually writing them, why humans still need to check everything, and the weird reality of people developing relationships with chatbots.  Show Highlights:  (01:34) What Alyss Does at Nvidia (05:44) When AI First Worked for Corey (07:34) Building Internal Tools vs Using AI (10:39) Using AI to Help Write Last Week in AWS  (13:43) DGX Cloud Innovation Lab  (17:11) Building Production Software with AI  (20:48) The Future of SEO  (25:24) Using AI as a Writing Assistant  (29:51) closing remarks Links: Alyss’s LinkedIn: https://www.linkedin.com/in/alyssnoland/ Alyss’s Personal Website: https://dev.to/preciselyalyss Sponsored by: duckbillhq.com

    30 min
  5. How Homebrew Became Mac's Package Manager with Mike McQuaid

    27 DE GEN.

    How Homebrew Became Mac's Package Manager with Mike McQuaid

    Mike McQuaid, Project Leader of Homebrew, joins Corey Quinn to share how a package manager conceived in a London pub became essential for 10 million Mac users. Homebrew lets you install software with one command instead of downloading files and clicking through installers, maintained by just 30 people who each get $300 a month.Mike shares the origin story from a drunken conversation about package management, explains how Homebrew Bundle can set up a new Mac with one command, and why Homebrew refuses to package software with fake open source licenses like Terraform's new versions. Show Highlights: (01:44) Why Homebrew Works on Linux (04:02) The Curl Bash Security Problem (05:02) Homebrew Was Conceived in a London Pub (06:42) Apps That Auto-Update Four Times a Day (08:43) Brew Bundle (14:00) Why Homebrew Auto-Updates Itself (18:18) Homebrew Maintainers Get $300 a Month (22:19) The Brew Doctor Command (29:10) Why Homebrew Doesn't Package Fake Open Source (32:05) Open Source Is Not a Career (35:27) When Someone Blamed Homebrew for Breaking Their Business (37:39) Auto-Update Options for Homebrew (39:40) Where to Find Mike Links: Website: https://mikemcquaid.com Homebrew: https://brew.sh GitHub: https://github.com/homebrew Sponsored by:  duckbillhq.com

    41 min
  6. Is It Broken Everywhere or Just for Me with Omri Sass

    22 DE GEN.

    Is It Broken Everywhere or Just for Me with Omri Sass

    When your website stops working at 3 AM, you need to answer one question fast: Is it my code or is a big cloud provider having problems? Omri Sass from Datadog explains updog.ai, a tool that monitors whether major services like AWS, CloudFlare, and others are actually working. Instead of asking people to report problems like Down Detector does, updog uses real data from thousands of computers to detect when services go down. Omri shares why this took 6 years to build, how they process massive amounts of data with machine learning, and why cloud providers have been strangely upset about these tools existing. About Omri:  Omri Sass is a Director of Product Management at Datadog, where he leads and supports a team of 25+ product managers driving initiatives across Bits AI SRE, Data Observability, Service Management, and most recently, the launch of updog.ai. Outside of work, Omri is an avid sci-fi reader, a dedicated yoga practitioner, and happily outmatched by his cat. Show Highlights: (02:12) What is Updog and How Does It Work (03:38) Why Knowing If It's a Global Problem Matters (04:01) The Problem With Testing Every Endpoint Yourself (05:52) How Datadog Discovered EC2 Outages From Their Own Systems (10:38) When AWS Regions Go Down and Cascade Failures (13:13) What Happens When Services Rebuild Completely(16:29) The Most Important Learning During a 3 AM Incident(20:11) Why This Took So Long to Build(23:40) When Datadog Going Down Isn't Critical Path(25:22) How They Picked Which AWS Services to Monitor(27:07) What Comes Next for Updog(30:11) Where to Find Omri and Updog Links:  Datadog: datadoghq.com Omir’s LinkedIn: https://www.linkedin.com/in/omri-sass-65632a14/ Sponsored by: duckbillhq.com

    31 min
  7. Solving the 20-Year S3 File System Problem with Hunter Leath

    20 DE GEN.

    Solving the 20-Year S3 File System Problem with Hunter Leath

    Hunter Leath, CEO of Archil, spent 8 years building Amazon's EFS file storage system, learning exactly why making cloud storage act like a hard drive always fails. Old programs need hard drives, but cloud storage doesn't work like hard drives—a problem that's existed for 20 years. Now Hunter's building Archil, which puts super-fast storage between programs and S3 so they can finally work together. Your programs think they're talking to a regular disk while your data lives safely in the cloud. Hunter explains how they're doing what others couldn't, why it costs less than Amazon's own solutions, and why file systems suddenly matter again in the AI era. Show Highlights: (01:37) What Archil Does and Why It Exists (02:26) Why Mounting S3 as a File System Has Always Failed (03:07) What Building EFS Taught Hunter (06:55) Using Fast SSDs as a Cache Layer for S3 (09:45) Attaching Archil to Your Existing S3 Buckets (15:08) Why Archil Costs Less Than EBS When You Do the Math (17:56) What Happens If Amazon Builds This Feature (19:20) Competing With EBS Performance on GP3 Volumes (21:43) Raising $6.7 Million Without an AI Pitch (23:46) What Customers Get Wrong About Archil (28:07) Accessing Data Stored in Glacier Deep Archive (29:24) The Plan to Get Into the Linux Kernel  (30:51) Where to Find Hunter About Hunter Leath:  Hunter is the founder and CEO of Archil, which transforms S3 buckets into infinite, local file systems that provide instant access to massive data sets. Prior to Archill, Hunter spent the last ten years in the cloud storage industry, including 8 years building Amazon's Elastic File System product and one year on Netflix's core storage team. Links:Hunter Leath on LinkedIn: https://www.linkedin.com/in/hleath/ Hunter Leath on X: https://x.com/jhleath/ Archil’s Website: https://archil.com Sponsored by: duckbillhq.com

    32 min
  8. Building Systems That Work Even When Everything Breaks with Ben Hartshorne

    15 DE GEN.

    Building Systems That Work Even When Everything Breaks with Ben Hartshorne

    When AWS has a major outage, what actually happens behind the scenes? Ben Hartshorne, a principal engineer at Honeycomb, joins Corey Quinn to discuss a recent AWS outage and how they kept customer data safe even when their systems couldn't fully work. Ben explains why building services that expect things to break is the only way to survive these outages. Ben also shares how Honeycomb used its own tools to cut their AWS Lambda costs in half by tracking five different things in a spreadsheet and making small changes to all of them. About Ben Hartshorne:  Ben has spent much of his career setting up monitoring systems for startups and now is thrilled to help the industry see a better way. He is always eager to find the right graph to understand a service and will look for every excuse to include a whiteboard in the discussion. Show highlights:  (02:41)Two Stories About Cost Optimization (04:20) Cutting Lambda Costs by 50% (08:01) Surviving the AWS Outage (09:20) Preserving Customer Data During the Outage (13:08) Should You Leave AWS After an Outage? (15:09) Multi-Region Costs 10x More (18:10) Vendor Dependencies (22:06) How LaunchDarkly's SDK Handles Outages (24:40) Rate Limiting Yourself (29:00) How Much Instrumentation Is Too Much? (34:28) Where to Find Ben Links:  Linkedin: https://www.linkedin.com/in/benhartshorne/ GitHub: https://github.com/maplebed Sponsored by: duckbillhq.com

    36 min
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Informació

Screaming in the Cloud with Corey Quinn features conversations with domain experts in the world of Cloud Computing. Topics discussed include AWS, GCP, Azure, Oracle Cloud, and the "why" behind how businesses are coming to think about the Cloud.

Fitxa tècnica

  • Creació
    Corey Quinn
  • Anys en actiu
    2018 - 2026
  • Episodis
    668
  • Qualificació
    Apte
  • Copyright
    © 2021 Duckbill Group, LLC
  • Lloc web del programa
    Screaming in the Cloud

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