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#125 - Two CTO Dinosaurs vs. Today's Tech Hype with Raz Shuty // CTO @ auxmoney
Unfiltered insights on microservices myths, cloud cost reality, and pragmatic technical leadership
Two veteran CTOs tear down today's tech hype with brutal honesty and hard-won experience. Raz Schweiger-Shuty shares his controversial approach to technical leadership at auxmoney, where he stopped a microservices rewrite and focused on business outcomes over engineering trends.
From his early days as a QA engineer to running 80-person engineering organizations, Raz demonstrates why sometimes the best technical decision is the boring one that actually works. This conversation offers a masterclass in pragmatic technical leadership for an age obsessed with the latest frameworks and architectures.
Key insights for technical leaders:
• 🏗️ Domain-driven design as prerequisite for any architectural decision
• 💰 FinOps strategies that connect engineering decisions to business metrics
• 🔄 Modular monolith patterns for teams of 40+ engineers
• 📊 Why velocity metrics are vanity and DORA metrics matter
• 🚫 Avoiding Kubernetes complexity when elasticity isn't needed
• 👥 Conway's Law applied to value stream organization
• 🔧 Platform engineering pitfalls and centralization nightmares
TIMESTAMPS:
[00:01:00] Show premise: Two CTO Dinosaurs vs. Today's Tech Hype
[00:03:56] Raz's unconventional path: QA to CTO via pragmatic learning
[00:08:31] Junior vs senior engineers in the AI era
[00:11:01] auxmoney: 17 years without a CTO, then Raz arrives
[00:13:45] Stopping the microservices migration: building trust through disagreement
[00:15:08] Language choices: PHP works, Rust creates hiring problems
[00:19:35] Modular monolith strategy using domain-driven design
[00:21:56] Value stream teams and Conway's Law alignment
[00:22:26] Kubernetes reality check: elasticity vs complexity overhead
[00:29:53] FinOps deep dive: €120k to €85k AWS cost reduction
[00:32:13] Cost-per-transaction metrics for engineering accountability
[00:35:00] Platform engineering centralization dangers
[00:40:22] Velocity metrics are broken: focus on DORA instead
[00:43:54] Meantime to recovery as team health indicator
[00:48:34] Bottom-up AI adoption: Cursor rollout strategy
[00:54:16] Fintech security: ISO 27001 and AI supply chain risks
[00:56:59] Leadership lessons: building trust through authentic communication
View all episodes
By Tobias Schlottke - alphalist CTO Podcast
5
66 ratings
Unfiltered insights on microservices myths, cloud cost reality, and pragmatic technical leadership
Two veteran CTOs tear down today's tech hype with brutal honesty and hard-won experience. Raz Schweiger-Shuty shares his controversial approach to technical leadership at auxmoney, where he stopped a microservices rewrite and focused on business outcomes over engineering trends.
From his early days as a QA engineer to running 80-person engineering organizations, Raz demonstrates why sometimes the best technical decision is the boring one that actually works. This conversation offers a masterclass in pragmatic technical leadership for an age obsessed with the latest frameworks and architectures.
Key insights for technical leaders:
• 🏗️ Domain-driven design as prerequisite for any architectural decision
• 💰 FinOps strategies that connect engineering decisions to business metrics
• 🔄 Modular monolith patterns for teams of 40+ engineers
• 📊 Why velocity metrics are vanity and DORA metrics matter
• 🚫 Avoiding Kubernetes complexity when elasticity isn't needed
• 👥 Conway's Law applied to value stream organization
• 🔧 Platform engineering pitfalls and centralization nightmares
TIMESTAMPS:
[00:01:00] Show premise: Two CTO Dinosaurs vs. Today's Tech Hype
[00:03:56] Raz's unconventional path: QA to CTO via pragmatic learning
[00:08:31] Junior vs senior engineers in the AI era
[00:11:01] auxmoney: 17 years without a CTO, then Raz arrives
[00:13:45] Stopping the microservices migration: building trust through disagreement
[00:15:08] Language choices: PHP works, Rust creates hiring problems
[00:19:35] Modular monolith strategy using domain-driven design
[00:21:56] Value stream teams and Conway's Law alignment
[00:22:26] Kubernetes reality check: elasticity vs complexity overhead
[00:29:53] FinOps deep dive: €120k to €85k AWS cost reduction
[00:32:13] Cost-per-transaction metrics for engineering accountability
[00:35:00] Platform engineering centralization dangers
[00:40:22] Velocity metrics are broken: focus on DORA instead
[00:43:54] Meantime to recovery as team health indicator
[00:48:34] Bottom-up AI adoption: Cursor rollout strategy
[00:54:16] Fintech security: ISO 27001 and AI supply chain risks
[00:56:59] Leadership lessons: building trust through authentic communication
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