InfoQ Homepage Presentations
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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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The Multi-Agent Approach: Building Reliable and Controllable Software Development Automation
Itamar Friedman explains how to transition from "vibe coding" to reliable software delivery. Learn how to govern agent communication and build a context-driven SDLC that scales.
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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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Practical Robustness: Going Beyond Memory Safety in Rust
Andy Brinkmeyer explains how to leverage Rust beyond memory safety. Discover how senior devs and architects can embed runtime protocols into types to eliminate bugs at compile time.
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Fine Tuning the Enterprise: Reinforcement Learning in Practice
Will Hang and Wenjie Zi explain how OpenAI's Agent RFT (Reinforcement Fine-Tuning) optimizes reasoning models end-to-end, enabling autonomous agents to learn efficient tool use and cut latencies.
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Enhancing Reliability Using Service-Level Prioritized Load Shedding at Netflix
Anirudh Mendiratta and Benjamin Fedorka explain how Netflix handles massive traffic storms using service-level prioritized load shedding and client-side attempt budgets to protect critical path APIs.
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Graph RAG: Building Smarter Retrieval Workflows with Knowledge Graphs
Cassie Shum explains how to move beyond traditional RAG limits using GraphRAG to inject enterprise logic and complex multi-hop reasoning into scalable knowledge graphs within a data warehouse.
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The Infrastructure Challenge behind Production AI
The panelists share how core data systems and cloud platforms handle machine-driven workloads, exploring infrastructure design patterns and failure points as AI becomes a permanent fixture.
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Trustworthy Productivity: Securing AI-Accelerated Development
Sriram Madapusi Vasudevan explains how to secure autonomous AI agents, sharing enterprise patterns like provenance gates and sandboxed runtimes to defend the ReAct loop against rogue execution.
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Million PDFs: Building a Modern Document Infrastructure with Rust and Typst
Erik Steiger explains how to replace heavy, outdated PDF engines like Crystal Reports and Puppeteer with a high-performance, serverless Rust and Typst pipeline, dropping render times below 2ms.
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AI Works, Pull Requests Don’t: How AI is Breaking the SDLC and What to Do about it
Michael Webster explains how autonomous "headless" AI agents are flooding pipelines with code. He shares how CircleCI addresses the resulting technical debt and bottlenecked PR reviews.
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Rust at the Core - Accelerating Polyglot SDK Development
Spencer Judge explains how Temporal uses a shared Rust core to build multi-language SDKs. He shares practical advice on handling type conversion, async bridging, and memory management.
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