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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:
âą đïž Domain-driven design as prerequisite for any architectural decision
âą đ° FinOps strategies that connect engineering decisions to business metrics
âą đ Modular monolith patterns for teams of 40+ engineers
âą đ Why velocity metrics are vanity and DORA metrics matter
âą đ« Avoiding Kubernetes complexity when elasticity isn't needed
âą đ„ Conway's Law applied to value stream organization
âą đ§ 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: âŹ120k to âŹ85k 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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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:
âą đïž Domain-driven design as prerequisite for any architectural decision
âą đ° FinOps strategies that connect engineering decisions to business metrics
âą đ Modular monolith patterns for teams of 40+ engineers
âą đ Why velocity metrics are vanity and DORA metrics matter
âą đ« Avoiding Kubernetes complexity when elasticity isn't needed
âą đ„ Conway's Law applied to value stream organization
âą đ§ 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: âŹ120k to âŹ85k 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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