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Development

Featured in Development

Expanding Swift from Apps to Services

Cory Benfield discusses the evolution of Swift from an app language to a critical tool for secure, high-scale services. He explains how Swift’s lack of a garbage collector eliminates tail latency and shares how its "zero-cost abstractions" rival C performance. He shares Apple’s roadmap for incremental adoption and demonstrates groundbreaking new interoperability for C++ and Java ecosystems.

All in development

Architecture & Design

Featured in Architecture & Design

Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs

Sub‑100-ms APIs emerge from disciplined architecture using latency budgets, minimized hops, async fan‑out, layered caching, circuit breakers, and strong observability. But long‑term speed depends on culture, with teams owning p99, monitoring drift, managing thread pools, and treating performance as a shared, continuous responsibility.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems

Sarah Usher discusses the architectural "breaking point" where warehouses like BigQuery struggle with latency and cost. She explains the necessity of a conceptual data lifecycle (Raw, Curated, Use Case) to regain control over lineage and innovation. She shares practical strategies to design a single source of truth that empowers both ML teams and analytics without bottlenecking scale.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations

Thiago Ghisi discusses the strategic evolution required to lead 100+ engineers without breaking the organization. He explains his "Three Levels of Impact" framework and shares practical lessons on speeding up decision-making, cultivating leadership teams, and building organizational resilience. Learn why he views reorgs as a continuous deployment feature rather than a one-time traumatic event.

All in culture-methods

DevOps

Featured in DevOps

From Alert Fatigue to Agent-Assisted Intelligent Observability

As systems grow, observability becomes harder to maintain and incidents harder to diagnose. Agentic observability layers AI on existing tools, starting in read-only mode to detect anomalies and summarize issues. Over time, agents add context, correlate signals, and automate low-risk tasks. This approach frees engineers to focus on analysis and judgment.

All in devops

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InfoQ Homepage Interviews Charles Nutter discusses JRuby

Charles Nutter discusses JRuby

12:45

Bio

Charles Nutter has been a Java developer since 1996, recently working as the senior Java architect at Ventera Corp and in September 2006 moved to Sun to work full-time on JRuby! He led the open-source LiteStep project in the late 90s and came to Ruby in the fall of 2004. Since then he has been a member of the JRuby team, helping to make it a true alternative Ruby platform.

About the conference

Feb 14, 2008

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Topics

Expanding Swift from Apps to Services

Engineering Speed at Scale — Architectural Lessons from Sub-100-ms APIs

Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems

Scaling to 100+ as a Director: Lessons From Growing Engineering Organizations

From Alert Fatigue to Agent-Assisted Intelligent Observability

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Choose your language

Charles Nutter discusses JRuby

Bio

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InfoQ Software Architects' Newsletter

Charles Nutter discusses JRuby

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