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Sovereign Clouds, Hyperscalers and European Alternatives: InfoQ Dev Summit Munich 2025 Preview
In this podcast episode, speakers from the upcoming InfoQ Dev Summit Munich 2025 tackle the practical challenges facing European developers caught between regulatory pressures and technological realities. The panel discusses trade-offs between using US cloud providers versus emerging European alternatives, exploring cloud-agnostic architecture strategies and the implications of data sovereignty.
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The Financial Architecture of Software with Ian Miell
In this episode, Thomas Betts speaks with Ian Miell about how the financial aspects of a business affect how software is designed and built. If Conway’s Law says organizational structures determine the software design, then following the money helps us understand why those organization structures exist, and ultimately whether software will be successful in achieving its goals.
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Microfrontends: Heuristics, Patterns and Antipatterns by Luca Mezzalira
Luca Mezzalira, a pioneer and enthusiast of microfrontends, discusses the microfrontends' evolution over the past years, underlying a set of heuristics that will allow you to gradually implement them in your product. He also touches on approaches to obtain quick feedback, both in your inner and outer development loops.
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Understanding Event-Driven Architecture in a Multicloud Environment
Teena Idnani, senior solutions architect at Microsoft, shares her experience on how and when to use event-driven architectures to improve the experience of your customers. She touches on when to use and not use this approach, as well as how to design your system, implement observability, and when to consider using more than one cloud vendor.
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The Java Ecosystem Remains Ever-Green by Continuously Adapting to Developers' Needs
Kevin Dubois and Thomas Vitale, two cloud-native enthusiasts in the Java ecosystem, discuss the evolution of frameworks and tooling that has led to increased development and developer joy. They cover everything from Testcontainers to incorporating LLMs in existing applications, as well as how to ensure the code quality remains high, even with the proliferation of code generation tooling.
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Technology Radar and the Reality of AI in Software Development
Shane Hastie, Lead Editor for Culture & Methods spoke to Rachel Laycock, Global CTO of Thoughtworks, about how the company's Technology Radar process captures technology trends around the globe. She is sceptical of the current AI efficiency hype, emphasizing that real value of generative AI tools lies in solving complex problems like legacy code comprehension rather than just writing code faster.
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Using AI Code Generation to Migrate 20000 Tests
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Sergii Gorbachov, a staff engineer at Slack, about how they successfully used AI combined with traditional coding approaches to migrate 20,000 tests in 10 months, discovering that AI alone was insufficient and required human oversight and conventional tools to work effectively.
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Emerson Murphy-Hill on Engineering Productivity, Team Dynamics and Equity
In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Emerson Murphy-Hill about how measuring developer productivity is tricky, why team dynamics and psychological safety matter more than things like meeting load, the impact of systemic bias and how new AI tools are shaping equity in engineering - sometimes helping, but sometimes risking new kinds of unfairness.
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Technical Leadership: Building Powerful Solutions with Simplicity and Inclusion
In this podcast, Shane Hastie, Lead Editor for Culture & Methods spoke to Bhavani Vangala about creating powerful yet simple technology solutions, taking a balanced approach to AI tools, fostering inclusive team environments, and empowering women in tech leadership through focusing on strengths rather than societal constraints.
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InfoQ Culture & Methods Trends in 2025
This is the InfoQ Culture & Methods Trends Report for 2025. Featuring the InfoQ editorial team and special guest Charity Majors, they discuss how AI is transforming software development with dramatic productivity gains alongside quality concerns, emphasize the continued importance of team collaboration, observability, engineering metrics, and creating high-performing software teams.