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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

2025 Key Trends: AI Workflows, Architectural Complexity, Sociotechnical Systems & Platform Products

In this end-of-year panel, the InfoQ podcast hosts reflect on AI’s impact on software delivery, the growing importance of sociotechnical systems, evolving cloud realities, and what 2026 may bring.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

How to Build a Database Without a Server

Alex Seaton discusses the architecture of ArcticDB, a high-performance Python/C++ library that replaces traditional database servers with a thick-client model. He explains how to achieve atomicity on object storage through bottom-up writes and shares deep insights into conflict-free replicated data types (CRDTs). He also explores the pitfalls of clock drift and distributed locking.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Changing Power Dynamics: What Senior Engineers Can Learn from Junior Engineers

Beth Anderson discusses the "power distance index" and its critical role in communication. Using the Korean Air Flight 801 tragedy as a case study, she explains the dangers of hierarchy-driven silence. She shares actionable frameworks for building the four stages of psychological safety, implementing reverse mentoring, and using PRs as tools for knowledge sharing rather than gatekeeping.

All in culture-methods

DevOps

Featured in DevOps

Fix SLO Breaches before They Repeat: an SRE AI Agent for Application Workloads

Bruno Borges discusses a paradigm shift in performance management: moving from manual tuning to automated SRE agents. He explains how to leverage the USE and jPDM methodologies alongside LLMs to reduce MTTR from hours to seconds. By utilizing MCP tools for real-time diagnostics and memory dump analysis, he shares how engineering leaders can scale systems while meeting strict objectives.

All in devops

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

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InfoQ Homepage Domain Specific Languages Content on InfoQ

Presentations

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Scala: Bringing Future Languages to the JVM

In this presentation, Lex Spoon discusses the Scala programming language. Topics covered include the origin of Scala, the philosophy behind Scala, the Scala feature set, Scala examples and DSLs.

Lex Spoon
on Mar 21, 2008

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43:39
Ruby and the Art of Domain Specific Languages

Rich Kilmer explains Domain Specific Languages - the difference between internal and external DSLs, implicit vs. explicit styles and the declarative vs. imperative style of Ruby DSLs.

Rick Kilmer
on Feb 22, 2008

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01:01:55
Agile DSL Development in Ruby

The presentation shows how to involve on-site customers in the evolution of their DSL syntax and how it leads to higher-quality, more correct software.

Obie Fernandez
on Jun 15, 2007

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42:41
Development

Introduction to Domain Specific Languages

Martin Fowler introduces a simple example of DSL, bringing out the difference between external and internal DSLs, and talking through the trade-offs in using both forms.

Martin Fowler
on Oct 31, 2006

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25:34

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