InfoQ Homepage Presentations
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Architecting the Data Layer for AI Agents: From Transactional Systems to MCP and Semantic Models
Fabiane Nardon explains how to architect enterprise data platforms for AI agents, balancing precision, security, and token costs using MCP, data mesh, and semantic web technologies.
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From DVDs to Global Streaming: How Netflix’s Commerce Architecture Actually Evolved
Kasia Trapszo explains how Netflix evolved its commerce platform, making pragmatic architectural trade-offs through global expansion, regulatory shifts, domain splits, and live-event scaling.
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Python, Numba, and Algorithm Design: Building Efficient Models in Financial Services
Chad Schuster explains how using Numba JIT compilation and GPUs speeds up compute-intensive Python models, driving 10x cloud cost reductions while navigating architecture trade-offs.
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Can Claude Fix Itself? Using LLMs for Incident Response
Anthropic's Alex Palcuie shares how LLMs transform incident response, highlighting where Claude excels at log analysis and why automated AI SREs still can't replace human judgment.
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Continuous Delivery for Foundational Platforms
Ian Nowland explains why standard CI/CD models fail for foundational platforms, sharing lessons from AWS and Datadog on how engineering leaders can implement safe progressive deployments.
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Prompt to Prod: Engineering an Autonomous SDLC at Scale
Andrew Swerdlow shares how Roblox transitions from AI autocomplete to fully autonomous software development with "Prompt to Prod," covering safety guardrails, infrastructure, and metrics.
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SafeChat: Building AI-Powered Safety Systems at Scale in a Real-Time Marketplace
Bruna Pereira shares how DoorDash built a scalable AI moderation platform. Learn how combining cheap classifiers with LLM scoring reduced incidents and cut latency in real-time chat.
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Enchant Your AI and APIs with eBPF Magic 🪄
Dan Finneran explains how to use eBPF and AI gateways in Kubernetes to transparently observe, modify, and control unowned AI agent API calls without altering source code.
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Why Fetch When You Can Sync? Building Local-First Apps on a Sync Engine Architecture
James Arthur explains how extending reactivity to the server via Electric and TanStack DB replaces manual data fetching with real-time sync for high-performance, agentic web applications.
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Understanding Progressive Collapse: How To Avoid A Cascading Failure
Sam Newman explains how to apply civil engineering’s concept of progressive collapse to digital systems, sharing actionable techniques to mitigate cascading failures in complex cloud architecture.
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From Fab To Token - The State Of The Market
Jordan Nanos explains how hardware constraints, data center scale, and chip co-design shape modern AI performance and tokenomics from silicon to inference.
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Turning Outward: Growing From Code to Influence
Brad Grantham explains how senior engineers and architects can transition from writing code to building influence by sharpening communication, mastering business alignment, and empowering teams.
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