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Building LinkedIn’s Resilient Data Storage: a Deep Dive into Derived Data Storage with Felix GV
In this podcast, Felix GV, Principal Staff Engineer at LinkedIn, discusses how to create and operate planet-scale data storage solutions for derived data. When it’s time to build a new system, how do you decide on the pieces that must be fitted to ensure a resilient operating system?
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Understanding What Really Matters for Developer Productivity: a Conversation with Lizzie Matusov
In this podcast Michael Stiefel spoke with Lizzie Matusov about the dependency of effective, productive, and satisfied teams on good software architecture. Understanding this relationship requires understanding exactly what software productivity really is, how modern software engineering research has become more rigorous and practical, and how to apply that research to software development.
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Facilitating Software Architecture with Andrew Harmel-Law
In this episode, Thomas Betts speaks with Andrew Harmel-Law about his new book, Facilitating Software Architecture: Empowering Teams to Make Architectural Decisions. The conversation includes a discussion of what constitutes an architecturally significant decision, how the practice of architecture is evolving, and how architects have a role to facilitate software architecture.
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Your Software Will Fail; It is How You Recover That Matters: a Conversation with Randy Shoup
In this podcast Michael Stiefel spoke with Randy Shoup about how to build resilient systems. We discuss why it is a serious mistake to fail to acknowledge that software’s interaction with itself. We also discuss where to use workflows, orchestration or choreography, the role of architecture in building good teams, and the wisdom of letting each team use their own set of tools.
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Dissecting the Intelligence of AI with Avraham Poupko
In this episode, Thomas Betts speaks with Avraham Poupko. Avraham believes software architects will not be replaced by Generative AI or LLMs. They will be replaced by software architects that know how to leverage Generative AI and LLMs. Their discussion compares LLM training with how humans learn, leading to better understanding of how architects can use GenAI effectively.
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Building Safe and Usable Medical Device Software: A Conversation with Neeraj Mainkar
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Neeraj Mainkar about the challenges of developing safe and usable medical device software in areas where software bugs can have life-and-death consequences, and how to approach these challenges through rigorous processes, user-centered design, and leveraging emerging technologies.
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Leveraging AI Platforms to Improve Developer Experience – From Personal Hackathon to AI at Scale
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Olalekan Elesin about how generative AI tools can elevate developer experience by enabling engineers to be more creative and productive. He stresses the need to manage expectations, develop prompt engineering skills, and maintain a focus on security and customer privacy when leveraging these tools in an enterprise setting.
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Building Effective Engineering Teams and Avoiding Cargo Cult Practices
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to David Guttman about building effective engineering teams, avoiding common pitfalls, critiques of cargo cult practices, building great engineering culture and the importance of individual accountability.
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Developing Regulated Software at the Speed of Innovation: Insights from Erez Kaminski
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Erez Kaminski about the challenges and importance of developing regulated software for safety-critical systems, emphasizing the need for validated DevOps and AI integration in industries like healthcare and automotive, while highlighting the balance between innovation, safety, and regulatory compliance.
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Democratizing AI at Thomson Reuters: Empowering Teams and Driving Innovation
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Maria Apazoglou, Head of AI, BI & Data Platforms at Thomson Reuters, about as her experience in building great teams and democratizing the use of large language models across the organization.