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Topics

Development

Featured in Development

How to Use Apache Spark to Craft a Multi-Year Data Regression Testing and Simulations Framework

Vivek Yadav, an engineering manager from Stripe, shares his experience in building a testing system based on multi-year worth of data. He shares insights into why Apache Spark was the choice for creating such a system and how it fits in the "traditional" engineering practices.

All in development

Architecture & Design

Featured in Architecture & Design

Architecture in a Flow of AI-Augmented Change

While AI adoption is surging, most organizations fail to scale past pilots. The solution lies in organizational structure, not just technology. This article details how architects can enable "fast flow" by defining clear domains and guardrails. Learn how to shift from controlling outcomes to curating context, allowing AI to drive continuous, valuable business change.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

NextGen Search - Where AI Meets OpenSearch Through MCP

In this article, authors Srikanth Daggumalli and Arun Lakshmanan discuss next-generation context-aware conversational search using OpenSearch and AI agents powered by Large Language Models (LLMs) and Model Context Protocol (MCP).

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Empowering Teams: Decentralizing Architectural Decision-Making

Peter Hunter & Elena Stojmilova share Open GI's journey from a slow, legacy monolith to a cloud-native SaaS platform. They detail how adopting Team Topologies and a decentralized architectural approach empowered teams. Key practices discussed include utilizing Domain-Driven Design to create a Context Map, implementing the Advice Process with Architectural Principles, and more.

All in culture-methods

DevOps

Featured in DevOps

Overload Protection: the Missing Pillar of Platform Engineering

Overload protection is often overlooked in platform engineering, leaving teams to create inconsistent, fragile fixes. Centralized rate limits, quotas, adaptive controls, and clear visibility give services predictable ways to handle traffic spikes, reduce reliability debt, and prevent cascading failures across systems.

All in devops

Events

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QCon AI New York 2025

Go from AI demos to real engineering impact. Learn to embed LLMs, govern & scale securely.

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InfoQ Architect Certification

Join Luca Mezzalira for this 5-week online cohort. Master socio-technical architecture leadership.

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QCon London 2026

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

Early Bird ends Dec 20.

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

Early Bird ends Jan 13.

InfoQ Homepage Interviews Jessica Kerr on Scala, scalaz, scalaz-stream, Testing with ScalaCheck

Jessica Kerr on Scala, scalaz, scalaz-stream, Testing with ScalaCheck

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39:52

Bio

Jessica (@jessitron) writes Scala for a living. She's still recovering from ten years of Enterprise Java. For entertainment, she blogs and speaks about functional programming and git, sneaking in a little cognitive science. Jessica is a native of StrangeLoop - I mean, St. Louis. In between user groups, she leads two children on crazy adventures.

About the conference

Code Mesh London is an annual conference dedicated to non-mainstream technologies. In 2013 it featured talks from over 50 inventors and experts in languages, libraries, operating systems and technologies that handle the programming and business challenges of today. Programming languages discussed ranged from technologies that have been around for a while such as Haskell, Clojure or Erlang to new languages such as Elixir, Rust, Go and Julia.

Jan 24, 2014

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