InfoQ Homepage Architecture & Design Content on InfoQ
About this Podcast
Intended for architects and senior developers.
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Key Trends from 2024: Cell-Based Architecture, DORA & SPACE, LLM & SLM, Cloud Databases and Portals
In this year-in-review episode, Daniel Bryant, along with InfoQ podcast hosts Thomas Betts, Shane Hastie, Srini Penchikala, and Renato Losio, reflect on the trends and developments of 2024 across key domains: architecture, culture and methods, AI and data engineering, and cloud and DevOps.
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Crossing the Feedback Chasm - a Conversation with Ken Finnigan
Michael Stiefel spoke with Ken Finnigan about how the lack of feedback impedes the development of software professionals. Without feedback, the right candidates are not hired, software professionals cannot improve or grow into new roles, or individuals stagnate or regress in their current positions. Feedback must also be delivered at the right time - when it can be effectively used.
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Orchestrating a Path to Success - a Conversation with Bernd Ruecker
In this podcast, Michael Stiefel spoke with Bernd Ruecker about how important process orchestration is for solving business problems, and how it is often misunderstood by architects and developers. They also spoke about the importance of visual tools, training new developers, and the dangers of being trapped by the joy of technology.
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AI, Rust, and Resilience: Key Software Trends Seen by the QCon San Francisco 2024 Program Committee
QCon conferences cover emerging trends in software, and this episode features members of the QCon San Francisco 2024 programming committee discussing those trends selected to be the focus of this year’s QCon San Francisco. This discussion is similar to InfoQ trends reports, with expert practitioners highlighting the technologies and practices that they feel deserve attention.
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A Primer on AI for Architects with Anthony Alford
This episode provides an overview of the real-world technologies involved in the umbrella phrase Artificial Intelligence. Anthony Alford explains just enough about machine learning, large language models, retrieval-augmented generation, and other AI terms which today’s software architects need to be able to discuss.
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