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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 Distributed Systems Content on InfoQ

Podcasts

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Intended for architects and senior developers.

About this Podcast

Intended for architects and senior developers.

Architecture & Design

Yuri Shkuro on Tracing Distributed Systems Using Jaeger

On this podcast, we talk with Yuri Shkuro, the creator of Jaeger, author of the book Mastering Distributed Tracing, and a software engineer at Uber, about how the Jaeger tracing backend implements the OpenTracing API to handle distributed tracing.

Yuri Shkuro
on Aug 28, 2019

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32:14
Architecture & Design

Martin Thompson on Aeron, Binary vs Text for Message Encoding, and Raft

Martin Thompson discusses consensus in distributed systems, and how Aeron uses Raft for clustering in the upcoming release.

Martin Thompson
on May 07, 2018

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34:22
Architecture & Design

John Langford on Vowpal Wabbit, Used by MSN, and Machine Learning in Industry

Machine learning research scientist John Langford talks to QCon chair Wesley Reisz about his ML system Vowpal Wabbit used for news personalisation on MSN. They also discuss how to get started in the field and its shift from academic research to industry use.

John Langford
on Aug 19, 2016

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23:02
Sponsored Content by

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Architecture & Design

Caitie McCaffrey on Engineering Effectiveness and Verifying Distributed Systems

Caitie McCaffrey talks about engineering effectiveness, approaching diversity, and verification of distributed systems at QCon New York 2016.

Caitie McCaffrey
on Jul 22, 2016

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33:11
Sponsored Content by

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