InfoQ Homepage Podcasts
About this Podcast
Intended for architects and senior developers.
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Looking for Root Causes is a False Path: A Conversation with David Blank-Edelman
In this podcast, Michael Stiefel spoke with David Blank-Edelman about the relationship between software architecture and site reliability engineering. Site reliability engineering can give architecture vital feedback about how the system actually behaves in production. Architects and designers can then learn from their failures to improve their ability to build systems that can evolve.
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How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework
Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.
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Cloud Security Challenges in the AI Era - How Running Containers and Inference Weaken Your System
Marina Moore, a security researcher and the co-chair of the security and compliance TAG of CNCF, shares her concerns about the security vulnerabilities of containers. She explains where the issues originate, providing solutions and discussing alternative routes to using micro-VMs rather than containers. Additionally, she highlights the risks associated with AI inference.
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Architecture Should Model the World as it Really is: a Conversation with Randy Shoup
In this podcast, Michael Stiefel spoke with Randy Shoup about how to evolve your software after a software failure, and how to improve the resilience of your software by modeling transient states using events and workflows. Software failure is inevitable, but learning from failure, including making the necessary changes to organizational culture, can make your software more resilient.
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If You Can’t Test It, Don’t Deploy It: The New Rule of AI Development?
Magdalena Picariello reframes how we think about AI, moving the conversation from algorithms and metrics to business impact and outcomes. She champions evaluation systems that don't just measure accuracy but also demonstrate real-world business value, and advocates for iterative development with continuous feedback to build optimal applications.
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About this Podcast
Discussions on intentional corporate culture and software management approaches.
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From Technical Excellence to Leadership: Understanding Yourself First
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Frankie Berkoben about executive coaching for engineering leaders, applying iterative development to personal growth, and supporting neurodivergent team members.
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Building Composable Teams: Moving Beyond Rigid Organizational Structures
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Luv Kapur about building composable team structures, creating trust through transparency and clarity, and enabling fluid organizational design through API-first team principles.
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Using Brain Science to Communicate and Lead Technical Teams Effectively
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Charlotte de Jong Schouwenburg about how understanding brain science and emotional intelligence can help engineers and technical leaders improve communication, manage conflict, and build stronger teams.
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Building Engineering Culture Through Autonomy and Ownership
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Marcos Arribas about building and scaling engineering culture as an organisation grows, emphasizing autonomous teams, ownership mentality, progressive feature rollouts with flags, small pull requests, strategic AI adoption, and the importance of hiring junior engineers for long-term organizational growth.
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How Blameless Culture Transforms Engineering Teams
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Tameem Hourani about building a blameless engineering culture through radical transparency, focusing on system resilience over individual blame, and creating high-performing teams that can embrace change and learn from failures.
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