
البم
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... · ٹریکس: 23 · 3,971 پلے
- 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
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- 1,8209:03
- 4,88511:20
- 2,05012:13
- 6,3378:10
- How Figma Prevented Engineering Burnout9,9769:59
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- How Stripe Prevented Engineering Burnout7,9779:03
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- How Notion Built a Secure AI Sandbox10,58811:03
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- 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
Fexingo...
- 4,71310:29
- 8,1458:45
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