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Topics

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

Platforms for Secure API Connectivity With Architecture as Code

Jim Gough discusses the transition from accidental architect to API program leader, explaining how to manage the complexity of secure API connectivity. He shares the Common Architecture Language Model (CALM), a framework designed to bridge the developer-security gap. By leveraging architecture patterns, engineering leaders can move from six-month review cycles to two-hour automated deployments.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Building a Least-Privilege AI Agent Gateway for Infrastructure Automation with MCP, OPA, and Ephemeral Runners

This article presents a least-privilege AI Agent Gateway that places clear controls between AI agents and infrastructure. Agents do not access infrastructure APIs directly. Instead, every request is validated, authorized using policy as code with Open Policy Agent (OPA), and executed in short-lived, isolated environments, with built-in observability using OpenTelemetry.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Achieve Optimal Efficiency for Your Developer Experience Teams

Fabien Deshayes discusses the strategies behind Monzo’s Developer Velocity squad. He explains the "Platform as a Product" mindset, emphasizing the need for engineers with product acumen and tenure. He shares actionable frameworks for measuring DevEx impact through time, money, and cognitive load, demonstrating how a small, focused team can drive massive results in a regulated environment.

All in culture-methods

DevOps

Featured in DevOps

Proactive Autoscaling for Edge Applications in Kubernetes

Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or remove instances more smoothly, prevent sudden spikes, and keep performance stable on systems with limited resources.

All in devops

Events

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QCon London 2026

Learn what works in AI, architecture, data, security & FinTech.

Early Bird ends March 10.

Learn how leading engineering teams run AI in production—reliably, securely, and at scale.

Early Bird ends March 10.

QCon San Francisco

Learn what's next in AI and software, from teams already doing it.

Early Bird ends March 10.

InfoQ Homepage Interviews Natalia Chechina on Scaling Distributed Erlang with SD Erlang

Natalia Chechina on Scaling Distributed Erlang with SD Erlang

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10:44

Bio

Natalia Chechina received a PhD degree from Heriot-Watt University, UK in 2011. She is now a Research Associate at the University of Glasgow and leads Scalable Distributed Erlang work package (WP3) in the RELEASE project. Natalia’s main research interests are distributed and parallel computing, Erlang, mathematical and theoretical analysis, stochastic modelling, and overlay networks.

About the conference

Begun in 2012 this now annual conference hosted in Vilnius, Lithuania brings the best of the developer world to the Baltic's. The overall theme is building stuff, we have a heavy focus on lessons from trenches from the people that were there.

Feb 13, 2015

Interview with

Natalia Chechina

by

Greg Young

BT