『The CTO Podcast with Fexingo: Technical Leadership, Architecture, and Engineering Org』のカバーアート

The CTO Podcast with Fexingo: Technical Leadership, Architecture, and Engineering Org

The CTO Podcast with Fexingo: Technical Leadership, Architecture, and Engineering Org

著者： Fexingo
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Lucas and Luna sit down in front of a whiteboard to dissect the decisions that shape technical organizations. Each episode of The CTO Podcast with Fexingo examines a specific engineering leadership challenge — from scaling a microservices architecture without creating a distributed monolith, to managing the cognitive load of a 200-engineer org, to choosing between a monorepo and polyrepo strategy based on team topology. The conversations are grounded in real-world cases: how Etsy restructured its data pipeline after a 2019 outage, why Stripe’s API versioning policy reduces breaking changes, or what Basecamp’s choice of SQLite over PostgreSQL says about product philosophy. Lucas brings the journalistic rigor — citing commit histories, RFCs, and postmortems — while Luna pushes back with the pragmatics of org dynamics, hiring constraints, and technical debt. There are no hot takes, no vendor pitches, no ‘best practices’ without trade-offs. Each episode ends with a specific tension left unresolved: the optimal number of direct reports for a VP of Engineering, the point at which a monolith should be broken apart, or whether a platform team should own the CI/CD pipeline. The listener is a senior engineer, a staff+ IC, or a new CTO who wants to learn from the decisions others have made — without the hype. After an episode, you’ll have a framework, not a checklist, and a clear sense of the questions you should be asking your own team. #CTOPodcast #TechnicalLeadership #EngineeringOrg #SoftwareArchitecture #SystemDesign #EngineeringManagement #Microservices #Monorepo #PlatformEngineering #Scalability #TechDebt #DevOps #Infrastructure #SiteReliability #DistributedSystems #Business #FexingoBusiness #Technology Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • How Amazon Built Its One-Day Delivery Supply Chain

    How Amazon Built Its One-Day Delivery Supply Chain
    2026/06/08
    In 2019, Amazon announced it would convert Prime shipping from two days to one day. Most people saw a marketing promise. Engineers saw a logistics nightmare. This episode unpacks how Amazon rebuilt its fulfillment network — restructuring inventory placement, rethinking sortation center algorithms, and launching its own air hub in Cincinnati — to make one-day delivery economically viable across millions of SKUs. Lucas and Luna walk through the key architectural decisions: how Amazon used machine learning to predict demand at the zip-code level, decoupled its fulfillment centers from its transportation layer, and absorbed a multi-billion-dollar cost that competitors couldn't replicate. They also touch on the trade-offs: higher inventory carrying costs, pressure on warehouse labor, and the environmental toll of speed. A grounded look at how the world's most demanding logistics system was rearchitected from the inside out. #Amazon #OneDayDelivery #SupplyChain #Logistics #Fulfillment #MachineLearning #InventoryManagement #SortationCenters #PrimeAir #CincinnatiAirHub #LastMileDelivery #OperationsResearch #Business #Technology #Engineering #FexingoBusiness #BusinessPodcast #CTOPodcast Keep every episode free: buymeacoffee.com/fexingo
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    8 分
  • How GitLab Runs Remote Engineering with 2000 Developers

    How GitLab Runs Remote Engineering with 2000 Developers
    2026/06/07
    In this episode, Lucas and Luna dive into how GitLab manages a fully remote engineering organization of over 2,000 developers. They explore the company's unique handbook-first culture, how they maintain code quality across time zones, and the specific tools they use for asynchronous communication. Lucas shares key metrics: GitLab ships 40 releases per year with a median merge request cycle time of under 6 hours. They also discuss how the company handles onboarding, performance reviews, and incident response without a physical office. A must-listen for anyone leading or building a remote engineering team. #GitLab #RemoteEngineering #EngineeringManagement #AsynchronousWork #DevOps #CodeReview #TechLeadership #BusinessAndTechnology #FexingoBusiness #BusinessPodcast #CTO #EngineeringOrg #RemoteWork #HandbookDriven #MergeRequest #Onboarding #IncidentResponse #Culture Keep every episode free: buymeacoffee.com/fexingo
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    11 分
  • How Figma Scales Real-Time Collaboration With CRDTs

    How Figma Scales Real-Time Collaboration With CRDTs
    2026/06/07
    Episode 36 of The CTO Podcast dives into how Figma built its real-time collaboration engine using Conflict-Free Replicated Data Types (CRDTs). Lucas and Luna unpack the architectural decision to move from Operational Transform to CRDTs, how Figma handles merge conflicts at scale, and the engineering tradeoffs behind its vector-based multi-user editing. They walk through the key design choices: why Figma chose a custom CRDT instead of off-the-shelf libraries, how it serialises operations for low-latency sync across hundreds of collaborators on a single file, and the surprising way it prioritises local responsiveness over consistency. Luna asks the hard questions about production incidents, and Lucas breaks down the monitoring approach behind Figma's 'real-time' guarantee. A concrete look at distributed systems theory meeting product design. #Figma #CRDT #RealTimeCollaboration #DistributedSystems #ConflictFreeReplicatedDataTypes #OperationalTransform #ProductDesign #Collaboration #Latency #Engineering #Architecture #Whiteboard #MultiUserEditing #Sync #VectorGraphics #BusinessAndTechnology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo
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    10 分
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