alphalist.CTO Podcast - For CTOs and Technical Leaders Podcast Por Tobias Schlottke - alphalist CTO Podcast arte de portada

alphalist.CTO Podcast - For CTOs and Technical Leaders

alphalist.CTO Podcast - For CTOs and Technical Leaders

De: Tobias Schlottke - alphalist CTO Podcast
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 This podcast features interviews of CTOs and other technical leadership figures and topics range from technology (AI, blockchain, cyber, DevOps, Web Architecture, etc.) to management (e.g. scaling, structuring teams, mentoring, technical recruiting, product etc.). Guests from leading tech companies share their best practices and knowledge. The goal is to support other CTOs on their journey through tech and engineering, inspire and allow a sneak-peek into other successful companies to understand how they think and act. Get awesome insights into the world‘s top tech companies, personalities with this podcast brought to you by Tobias Schlottke.alphalist Economía Gestión Gestión y Liderazgo Liderazgo
Episodios
  • #125 - Two CTO Dinosaurs vs. Today's Tech Hype with Raz Shuty // CTO @ auxmoney

    #125 - Two CTO Dinosaurs vs. Today's Tech Hype with Raz Shuty // CTO @ auxmoney
    Jul 10 2025
    What happens when two experienced CTOs sit down to debunk the latest tech trends? Raz Schweiger-Shuty, CTO at auxmoney, 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
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    1 h y 3 m
  • #124 - The Path to AGI: Inside poolside’s AI Model Factory for Code with Eiso Kant

    #124 - The Path to AGI: Inside poolside’s AI Model Factory for Code with Eiso Kant
    Jun 27 2025
    How do you build a foundation model that can write code at a human level? Eiso Kant (CTO & co-founder, Poolside) reveals the technical architecture, distributed team strategies, and reinforcement learning breakthroughs powering one of Europe’s most ambitious AI startups. Learn how Poolside operates 10,000+ H200s, runs the world’s largest code execution RL environment, and why CTOs must rethink engineering orgs for an agent-driven future.
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    1 h y 4 m
  • #123 - From Nokia to AI-IoT: Engineering the Physical World with Bernd Groß // CEO @ Cumulocity

    #123 - From Nokia to AI-IoT: Engineering the Physical World with Bernd Groß // CEO @ Cumulocity
    Jun 12 2025
    The physical world is becoming digital—and it requires fundamentally different technical architecture than traditional IT systems. Bernd Groß leads technical leaders through the evolution from enterprise software to industrial IoT, where real-time data from 30,000 wind turbines and millisecond-level decision-making define system requirements. As co-founder and CEO of Cumulocity, Bernd has navigated one of tech's most complex domains: connecting industrial hardware through standardized platforms. His journey from Nokia's early cloud computing initiatives to building Germany's leading IoT platform offers unique insights on technical leadership in physical-digital convergence. Technical leaders will gain valuable perspectives on: • 🏗️ Architecting speed-layer systems that handle 50TB monthly data flows while maintaining real-time responsiveness • 🔄 Managing technical debt across hundreds of industrial protocols while modernizing from monoliths to microservices • 🤖 Implementing "AI-IoT" strategies that bridge machine learning models with operational technology deployments • ⚡ Building edge-cloud hybrid architectures for regulated environments and latency-critical applications • 🛠️ Engineering platforms that scale from device management to data operationalization across industrial verticals
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    1 h y 3 m
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