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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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InfoQ Homepage Interviews Ramnivas Laddad on AOP Design, Modelling, and Policy Enforcement

Ramnivas Laddad on AOP Design, Modelling, and Policy Enforcement

21:16

Bio

Ramnivas Laddad is an author, speaker, consultant, and trainer specializing in aspect-oriented programming and J2EE. His most recent book, "AspectJ in Action: Practical aspect-oriented programming" (Manning, 2003), has been labeled as the most useful guide to AOP/AspectJ. Ramnivas works for Interface21, providers of Spring.

About the conference

Apr 17, 2007

Interview with

Ramnivas Laddad

by

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