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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

Spec Driven Development: When Architecture Becomes Executable

Spec-Driven Development inverts traditional architecture by making specifications executable and authoritative. It transforms declared intent into validated code through AI generation and provides architectural determinism. It eliminates drift through continuous enforcement, but demands new engineering discipline in schema design and contract-first reasoning.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and Conflict-free Replicated Data Types

In this podcast, InfoQ spoke with Somtochi Onyekwere on recent developments in distributed data systems, how to achieve fast, eventually consistent replication across distributed nodes, and how Conflict-free Replicated Data Type (CRDTs) can help with conflict resolution when managing data.

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.

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InfoQ Homepage Interviews Stuart Halloway on Datomic, Clojure, Reducers

Stuart Halloway on Datomic, Clojure, Reducers

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Bio

Stuart Halloway is a co-founder of Relevance, Inc. Stuart is the author of Programming Clojure, Component Development for the Java Platform, and Rails for Java Developers. Stuart regularly speaks at industry events including the No Fluff, Just Stuff Java Symposiums, the Pragmatic Studio, RubyConf, and RailsConf.

About the conference

GOTO Copenhagen is produced jointly by Trifork and DANSK IT and is a vendor independent conference where the program is put together by a Program Committee. The target audience for GOTO conferences are software developers, IT architects and project managers.

Aug 15, 2012

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Topics

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

Spec Driven Development: When Architecture Becomes Executable

Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and Conflict-free Replicated Data Types

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

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

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Choose your language

Stuart Halloway on Datomic, Clojure, Reducers

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How to Build a Database without a Server

DeepSeek-V3.2 Outperforms GPT-5 on Reasoning Tasks

Java News Roundup: Spring gRPC, Quarkus, Gatherers4j, Keycloak, Grails, Java Operator SDK

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

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InfoQ Software Architects' Newsletter

Stuart Halloway on Datomic, Clojure, Reducers

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