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Topics

Development

Featured in Development

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.

All in development

Architecture & Design

Featured in Architecture & Design

Managing Asynchronous APIs at Scale

Ian Cooper discusses managing asynchronous APIs in event-driven architectures at scale. He explains the "ABCs" of messaging (Address, Binding, Contract) and shares how to tackle discovery, governance, and provisioning using AsyncAPI, CloudEvents, schema registries, and automated CI/CD infrastructure pipelines based on real-world engineering practices at Just Eat Takeaway.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Building GenAI Platform at DoorDash

Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning from vendor-first setups to open-weights models, navigating LLM and agent gateways, and balancing accuracy, latency, and cost for over 5,000 internal users.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Keeping the Mainline Green Across Diverse Language Monorepos

Dhruva Juloori discusses how Uber maintains green mainlines across massive monorepos handling 65,000+ monthly changes. He explains how SubmitQueue uses binary speculation trees, conflict analysis, and machine learning models to predict build success and execution times. Dhruva shares how bypassing large diffs slashed CI resource usage by 53% while accelerating PR landing times by 37%.

All in culture-methods

DevOps

Featured in DevOps

Beyond Observability: Evolving Production Operations in the Age of AI

The panelists discuss how production operations are evolving with AI, turning operational data into actionable insights for incident response. They explain how automation and new architectural practices help engineering teams build more understandable systems, while exploring how AI reshapes software delivery and changes the historically deterministic nature of production applications.

All in devops

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Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
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QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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What early-adopter teams have proven in production, across 15 engineering tracks.
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InfoQ Homepage Interviews Gregory Collins on High Performance Web Apps with Snap and Haskell

Gregory Collins on High Performance Web Apps with Snap and Haskell

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16:43

Bio

Gregory Collins is a Canadian software engineer living in Zürich, Switzerland. He works at Google Zürich in the Site Reliability Engineering team. Gregory holds a Master's degree in Computer Science from Yale University. He's involved in the Snap project (http://snapframework.com/), a Haskell-based web framework.

About the conference

QCon is a conference that is organized by the community, for the community.The result is a high quality conference experience where a tremendous amount of attention and investment has gone into having the best content on the most important topics presented by the leaders in our community.QCon is designed with the technical depth and enterprise focus of interest to technical team leads, architects, and project managers.

Jun 17, 2011

Interview with

Gregory Collins

by

Sadek Drobi

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