InfoQ Homepage Presentations
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Efficient DevSecOps Workflows with a Little Help from AI
Michael Friedrich tells a story about experienced pain points, wasted hours debugging and solving, and learning how a little help from AI makes DevSecOps workflows efficient again.
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Modernizing DevOps with AI, Boosting Productivity, and Redefining Developer Experience
The panelists discuss how generative AI is boosting productivity, redefining the developer experience, and affecting software development in 2025.
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Efficient Incremental Processing with Netflix Maestro and Apache Iceberg
Jun He discusses how to use an IPS to build more reliable, efficient, and scalable data pipelines, unlocking new data processing patterns.
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Unveiling the Tech Underpinning FinTech's Revolution
Wojtek Ptak, Andrzej Grzesik discuss how to avoid wasting time, problems of scaling architecture, imposing constraints and restrictions, and practical tips for increasing collaboration and ownership.
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Taking LLMs out of the Black Box: A Practical Guide to Human-in-the-Loop Distillation
Ines Montani discusses practical solutions for using the latest LLMs in real-world applications and explores how to distill knowledge into smaller and faster components.
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Zero Waste, Radical Magic, and Italian Graft – Quarkus Efficiency Secrets
Holly Cummins discusses some of the technical underpinnings of Quarkus’s efficiency, providing advice for those using or considering Quarkus.
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Scale out Batch Inference with Ray
Cody Yu discusses how to build a scalable and efficient batch inference stack using Ray.
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Unleashing the Potential of VR: Building Immersive Experiences with Familiar Tools
Ian Thomas discusses VR software development, how to create immersive VR apps using familiar tools like React and JavaScript, making VR development accessible to Frontend Developers.
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Reducing Developer Overload: Offloading Auth, Policy, and Resilience to the Platform
Christian Posta discusses what developer pain looks like, how much it costs, and how Istio has solved these concerns by examining three real-life use cases.
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Data Mesh Architecture Applied to Complex Organizations
Nandakumar Heble looks at the basic construct of a data mesh and how one might go about applying it.
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Why Most Machine Learning Projects Fail to Reach Production and How to Beat the Odds
Wenjie Zi discusses common pitfalls that cause these failures, such as the inherent uncertainty of machine learning, misaligned optimization objectives, and skill gaps among practitioners.
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Modernizing in Healthcare – from On-Prem to the Cloud
Leander Vanderbijl discusses how they used API patterns to deal with complexity, modern frameworks to solve legacy code and cloud-native technologies to provide security and observability.
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