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Topics

Development

Featured in Development

The Rust High Performance Talk You Did Not Expect

Ruth Linehan explains how migrating high-performance caching services from Kotlin to Rust shattered internal preconceptions around delivery velocity and engineering overhead. She discusses the ergonomics of the Rust borrow checker, shares how compile-time safety shortens the developer feedback loop, and profiles how tools like Criterion and flamegraphs optimize concurrent code paths.

All in development

Architecture & Design

Featured in Architecture & Design

Comprehension at AI Speed: Building a Context Store for Evolutionary Architecture

AI makes the first 80% of development feel fast, but hides architectural complexity until it's too late. To prevent system instability, engineering leaders must shift from raw throughput to systemic comprehension. By unifying spec-anchored SDD, TDD, and automated fitness functions into a repo-bound "Context Store," teams can ensure AI agents and human reviewers evolve code safely.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry

Ben O'Mahony discusses building custom AI-powered Language Server Protocols (LSPs) that go beyond standard rule-based checkers. He explains how to instrument AI agents natively with OpenTelemetry to track concrete user actions (accepting, dismissing, or regenerating code fixes) as implicit labels, creating a continuous data flywheel to distill frontier capabilities into cheaper, local SLMs.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Road to Compliance: Will Your Internal Users Hate Your Platform Team?

Davide de Paolis discusses the realities of rolling out cloud infrastructure compliance without fracturing developer relations. Drawing from a real-world platform team reboot at Sevdesk, he explains how to implement "minimum viable governance" on AWS, utilize event-driven Slack alerting to automate policy feedback, and shift from rigid enforcement to high-empathy, data-driven collaboration.

All in culture-methods

DevOps

Featured in DevOps

Chaos Engineering GPU Clusters

Bryan Oliver discusses the frontier of AI infrastructure: chaos engineering for large-scale GPU clusters. He shares how engineering leaders can handle complex topologies, network protocols like RDMA, and NUMA misalignments. Discover seven practical fault-injection strategies to maximize multi-million dollar hardware efficiency and build robust observability loops.

All in devops

Events

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AI Security & Privacy Engineering Certification

Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
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AI Engineering Certification

Production AI calls on retrieval, agents, evals, and infrastructure, checked with peers.
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Architect Certification

Distributed systems, decentralized decisions, platform engineering, and AI architecture.
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Engineering Leadership Certification

Work through leadership decisions with senior peers facing similar technical trade-offs.
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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
Register. Early bird ends July 14.

QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
Register. Early bird ends July 14.

InfoQ Homepage Interviews Eric Evans Interviews Greg Young on the Architecture of a Large Transaction System

Eric Evans Interviews Greg Young on the Architecture of a Large Transaction System

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23:01

Bio

Greg Young is co-founder and CTO of IMIS, a stock market analytics firm in Vancouver BC. With over 10 years of varied experience in computer science from embedded operating systems to business systems and everything in between, he brings a pragmatic and often times unusual viewpoint to discussions.

About the conference

Jun 24, 2008

Interview with

Gregory Young

by

Eric Evans

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