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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.
Online. Register now.

AI Engineering Certification

Production AI calls on retrieval, agents, evals, and infrastructure, checked with peers.
Online. Register Now.

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 Hugh Ivory Reveals the New Face of DSDM

Hugh Ivory Reveals the New Face of DSDM

14:22

Bio

Hugh Ivory is a Director of the DSDM Consortium, a core member of the DSDM Atern work group, & a promoter of the DSDM framework in Ireland. He is a Business Analyst and Program Management Practitioner with twenty five years experience facilitating IT-enabled change. Hugh has been heavily involved in the work of the Consortium since 1999, & founded Best Outcomes in 2000 http://www.bestoutcomes.ie.

About the conference

Dec 19, 2007

Interview with

Hugh Ivory

by

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