Two CTO Dinosaurs vs. Today's Tech Hype with Raz Shuty // CTO @ Aux Money
Unfiltered insights on microservices myths, cloud cost reality, and pragmatic technical leadership
Raz Schweiger-Shuty · Chief Technology Officer, auxmoney
What happens when two experienced CTOs sit down to debunk the latest tech trends? Raz Schweiger-Shuty, CTO at Aux Money, joins Tobi for an unfiltered discussion about the hypes, myths, and wastes of resources that plague modern tech companies.
After taking over a 17-year-old fintech platform with no prior CTO, Raz made controversial decisions that flew in the face of conventional wisdom: stopping a microservices migration, questioning Kubernetes adoption, and focusing on measurable business value over engineering trends. His "dinosaur CTO" perspective offers a refreshing antidote to tech hype.
This conversation cuts through the noise with practical insights on: • 🚫 Why every monolith-to-microservices story ends the same way (spoiler: badly) • 💰 Reducing cloud costs from €120k to €85k through systematic waste elimination • 🔧 When Kubernetes complexity becomes a liability rather than an asset • 📊 Using DORA metrics and cost-per-transaction instead of vanity metrics • 🏗️ Building modular monoliths with domain-driven design principles • 👥 Organizing engineering teams around business value streams, not technology stacks
Show notes.
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 Aux Money, 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] Aux Money: 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