InfoQ Homepage QCon San Francisco 2025 Content on InfoQ
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Migrating Uber Eats Feeds to Webview
Nick DiStefano discusses how Uber Eats migrated core mobile surfaces to a hybrid WebView stack, sharing insights on maintaining native UI quality and shipping features faster.
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Producing the World's Cheapest Tokens: A How-to Guide
Meryem Arik explains how to cut AI inference costs by up to 90% by optimizing batch sizes, hardware selection, and request scheduling for high-volume, non-real-time workloads.
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From ms to µs: OSS Valkey Architecture Patterns for Modern AI
Dumanshu Goyal explains how moving from proxied architectures to direct access in Redis/Valkey slashes tail latency to microseconds, lowers costs, and eliminates single points of failure.
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Microservices Platforms: When Team Topologies Meets Microservices Patterns
Chris Richardson explains how microservices platforms reduce team cognitive load, sharing six key platform patterns to streamline delivery and accelerate software development flow.
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Parting the Clouds: the Rise of Disaggregated Systems
Murat Demirbas explains how cloud economics drive compute-storage disaggregation in modern database architectures. He shares insights on network bottlenecks, Paxos origins, and future tech.
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The Future of Engineering: Mindsets That Matter When Code Isn’t Enough
Ben Greene shares lessons from startups for software engineers navigating AI coding agents. He explains why starting simple, keeping comprehension, and prioritizing customer impact matter.
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Compiling Workflows into Databases: the Architecture That Shouldn't Work (But Does)
Jeremy Edberg & Qian Li explain how to replace complex external orchestrators with DBOS Transact, an open-source library that implements durable workflow execution directly inside your database.
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Engineering AI for Creativity and Curiosity on Mobile
Bhavuk Jain discusses scaling raw AI models into production-grade mobile features. He explains the architecture, runtime guardrails, and fine-tuning behind AI Wallpapers and Circle to Search.
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The Rust High Performance Talk You Did Not Expect
Ruth Linehan discusses Momento’s 3-year migration from Kotlin to Rust, explaining how the borrow checker speeds up delivery velocity and why Rust lowers overall engineering costs in production.
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Lessons Learned in Migrating to Micro-Frontends
Luca Mezzalira discusses a practical roadmap for migrating to micro-frontends, explaining how to optimize for team autonomy, identify domain boundaries, and leverage edge-compute routing.
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Accelerating Netflix Data: a Cross-Team Journey from Offline to Online
Raj Ummadisetty and Ken Kurzweil explain how Netflix transitioned its key-value abstraction from stateless to stateful, reducing data deployment time by 90% and infrastructure costs by 70%.
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Designing AI Platforms for Reliability: Tools for Certainty, Agents for Discovery
Aaron Erickson shares how NVIDIA scales AI agent hierarchies by balancing determinism and discovery, offering engineering leaders a practical blueprint for building reliable, purpose-built systems.
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