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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 Reusable Evaluation Frameworks for Agentic AI Products

Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balancing LLM-as-a-judge with deterministic rules, bridging Python data science evals with TypeScript production code, and implementing deep tracing to catch regressions across complex RAG and cybersecurity workloads while preserving domain context.

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. Juloori 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

Building Resilient Platforms: Insights from 20+ Years in Mission-Critical Infrastructure

Matthew Liste explains the 12 core principles of building scalable, reliable platforms for enterprise tech teams. From avoiding technical debt and managing deprecation to building a strong engineering culture, Liste discusses how to design infrastructure platforms that reduce complexity, streamline developer workflows, and deliver long-term value for senior architects and engineering leaders.

All in devops

Events

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Architect Certification

Distributed systems, decentralized decisions, platform engineering, and AI architecture.
Online. Register Now.

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.
Online. Register now.

High-Performing Teams Certification

Compare team design, delivery flow, AI roles, and metrics with experienced practitioners.
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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
Register. Early bird ends Oct 13.

QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
Register. Early bird ends Oct 13.

QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
Register. Early bird ends Oct 13.

QCon AI Boston

Learn from the decisions and trade-offs behind AI systems already running in production.
Registration open.

InfoQ Homepage Interviews Rob Harrop on SpringSource dm Server and OSGi

Rob Harrop on SpringSource dm Server and OSGi

33:59

Bio

Rob Harrop has been a core developer of the Spring Framework since June 2004 and currently leads the JMX and AOP efforts as well as the Spring Modules project.

About the conference

Feb 11, 2009

Interview with

Rob Harrop

by

Srini Penchikala

BT