InfoQ Homepage Programming Content on InfoQ
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Panel: Modern Data Architectures
The panelists emphasize that data engineering is no longer just about "click-and-drag" UI tools; it is software engineering applied to data.
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Building Embedding Models for Large-Scale Real-World Applications
Sahil Dua explains the architecture and training of embedding models. He shares practical tips for distilling large models and scaling RAG applications for real-time production environments.
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Are You Missing a Data Frame? The Power of Data Frames in Java
Vladimir Zakharov discusses the power of DataFrames in Java. He compares implementations like DataFrame-EC and Tablesaw against Python’s pandas, focusing on performance and memory efficiency.
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Expanding Swift from Apps to Services
Cory Benfield explains why Swift is a powerhouse for services like Apple’s Private Cloud Compute. He shares how Swift's memory safety and C++/Java interop deliver high-performance, frugal systems.
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Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya explains how Netflix unifies search and recommendations using the "UniCoRn" model and leverages Transformer-based foundation models to personalize the experience for 300M+ users.
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Java Concurrency from the Trenches: Lessons Learned in the Wild
Hugo Marques shares architectural lessons from scaling Java concurrency at Netflix, exploring the trade-offs between parallel streams, CompletableFutures, and the impact of Virtual Threads on IO.
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Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads
Bruno Borges explains how to automate SLO breach diagnostics using SRE agents and MCP tools. He shares methodologies for identifying bottlenecks and balancing speed, cost, and reliability.
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Ecologies and Economics of Language AI in Practice
Jade Abbott explains how to build sustainable AI using "Little LMs." She discusses environmental impacts, linguistic justice, and technical optimizations like quantization and model distillation.
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DevOps Is for Product Engineers, Too
Lesley Cordero explains how DevOps and platform engineering drive sociotechnical excellence. She shares strategies for joint optimization, distributed leadership, and organizational sustainability.
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Lessons Learned from Shipping AI-Powered Healthcare Products
Clara Matos shares lessons from shipping AI in healthcare at Sword Health. She discusses building guardrails, utilizing LLM-as-a-judge evals, and optimizing RAG to ensure safety and reliability.
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Powering Enterprise AI Applications with Data and Open Source Software
Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML lifecycle, such as feature redundancy, and low-latency serving at scale.
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Securing AI Assistants: Strategies and Practices for Protecting Data
Andra Lezza reviews the OWASP Top 10 for LLMs and contrasts security controls for independent vs. integrated copilot architectures.
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