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Topics

Development

Featured in Development

Instrumentation at Scale: Having Your Performance Cake and Eating It Too

Brian Martin discusses the real-world performance costs of metrics libraries and shares strategies for low-overhead, "fearless" instrumentation. Drawing from his work at IOP Systems, he explores atomic primitives, per-CPU sharding, lock-free histograms, and eBPF integration to help software architects and engineering leaders maintain full system visibility without sacrificing performance.

All in development

Architecture & Design

Featured in Architecture & Design

Next-Gen Architecture Playbook: Insights and Patterns for the AI Era

This eMag examines how architects can lead with clarity in a rapidly evolving engineering world, distilling industry insights into field-tested practices for teams. Together, these stories reveal a core theme: the technology leader’s role is expanding from building systems to guiding how tech behaves and learns, while enabling engineers and organizations to bring out their best.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

From AI Agent Demo to Production: Automated Testing and Evaluation

Zhou Yu discusses why AI agents stall in demo phase and shares how simulation-driven testing solves compliance and reliability bottlenecks. Learn how Columbia and Arklex AI use synthetic user personas, trajectory entropy, and automated CI/CD pipelines to evaluate multi-turn agents, catch edge cases before deployment, and scale self-learning workflows in production.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Personality Over Skillset: How Adam Wachtel Builds Engineering Teams

In this podcast, Shane Hastie, Lead Editor for Culture & Methods, spoke to Adam Wachtel, CTO at Click Boarding, about hiring for personality and problem-solving over pure skillset, turning around a platform and team in crisis, and how AI is reshaping team size and composition without ending SAAS.

All in culture-methods

DevOps

Featured in DevOps

Can Claude Fix Itself? Using LLMs for Incident Response

Anthropic reliability engineer Alex Palcuie shares practical lessons on using LLMs for real-world incident response. He explains where AI acts as a superhuman for observing logs and traces, why it still struggles with causation versus correlation during root-cause analysis, and how engineering leaders can integrate AI into on-call workflows without eroding human expertise.

All in devops

Events

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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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AI-Assisted Engineering Certification

Your coding agent moves fast. Who checks whether it's making the codebase better?
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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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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
Register. Early bird ends August 11.

QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
Register. Early bird ends August 11.

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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