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The CTO Podcast with Fexingo: Technical Leadership, Architecture, and Engineering Org
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
Fexingo... · Lagu: 23 · 3.971 diputar
- How GitHub Tamed Merge Conflict Chaos7.5387:41
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- 10.12710:05
- 8.3689:41
- 7.7249:09
- How Slack Survived the API Crisis8.23710:21
Fexingo...
- 1.8209:03
- 4.88511:20
- 2.05012:13
- 6.3378:10
- How Figma Prevented Engineering Burnout9.9769:59
Fexingo...
- How Stripe Prevented Engineering Burnout7.9779:03
Fexingo...
- How Notion Built a Secure AI Sandbox10.58811:03
Fexingo...
- How Datadog Stabilized AI Observability8.67812:06
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- 7.1738:38
- 5.00012:24
- 7.62810:35
- 9.6678:46
- How Figma Built a Secure AI Sandbox5.1358:48
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- 4.71310:29
- 8.1458:45
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