InfoQ Homepage QCon San Francisco 2024 Content on InfoQ
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Optimizing Search at Uber Eats
Janani Narayanan and Karthik Ramasamy share Uber Eats' backend scaling journey for nX merchant growth, tackling latency with infra & indexing optimizations.
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GenAI for Productivity
Mandy Gu shares Wealthsimple's journey leveraging generative AI for productivity and operational optimization.
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Changing the Model: Why and How We Re-Architected Slack
Ian Hoffman discusses Slack's architectural evolution, from workspace-centric to a unified grid, highlighting key learnings.
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Productivity Lessons in Moving from Big Tech to Scaling a Startup
Rachel Potvin shares her insights on developer productivity in startups vs. big tech, emphasizing urgency, team structure, metrics, planning, and experimentation.
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Building Tomorrow’s Legacy Code, Today
Shawna Martell explains how to manage legacy code, tech debt, & build resilient systems for the future.
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Unleashing Llama's Potential: CPU-Based Fine-Tuning
Anil Rajput and Rema Hariharan detail CPU-based LLM (Llama) optimization strategies for performance and TCO reduction.
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Building Inclusive Mini Golf: a Practical Guide to Accessible XR Development
Colby Morgan shares practical insights on building accessible and inclusive XR experiences.
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OpenSearch Cluster Topologies for Cost Saving Autoscaling
Tech lead Amitai Stern shares insights on OpenSearch autoscaling, covering common pitfalls and innovative architectural approaches.
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Navigating LLM Deployment: Tips, Tricks, and Techniques
Meryem Arik shares best practices for self-hosting LLMs in corporate environments, highlighting the importance of cost efficiency and performance optimization.
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How GitHub Copilot Serves 400 Million Completion Requests a Day
David Cheney explains the architecture powering GitHub Copilot, detailing how they achieve sub-200ms response times for millions of daily requests.
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Rebuilding Prime Video UI with Rust and WebAssembly
Alexandru Ene features details of a new UI SDK in Rust for Prime Video that targets living room devices.
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Recommender and Search Ranking Systems in Large Scale Real World Applications
Moumita Bhattacharya overviews the industry search and recommendations systems, goes into modeling choices, data requirements and infrastructural requirements, while highlighting challenges.
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