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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

Building a More Appealing CLI for Agentic LLMs Based on Learnings from the Textual Framework

Will McGugan, the maker of Textual and Rich frameworks, speaks about the reasoning of developing the two two libraries and the lesson learned. Also, he shares light on Toad, his current project, which he envisions being a more visually appealing way of interacting with agentic LLMs through command line.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Powering Enterprise AI Applications with Data and Open Source Software

Francisco Javier Arceo explored Feast, the open-source feature store designed to address common data challenges in the AI/ML lifecycle, such as feature redundancy, and low-latency serving at scale.

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

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

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

Early Bird ends Jan 13.

InfoQ Homepage Interviews Ralph Johnson on Parallel Programming Patterns

Ralph Johnson on Parallel Programming Patterns

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25:11

Bio

Ralph Johnson is one of the four authors of the Design Patterns book. He is currently involved with the CS Department at the University of Illinois and the leader of UIUC Patterns/Software Architecture Group. He is mostly interested in OOP, especially frameworks, patterns, business objects, and Smalltalk, and researches refactoring being involved in creating the Smalltalk Refactoring Browser.

About the conference

Starting in 1986, OOPSLA Conference has proven to be the cradle of many techniques and methodologies that have become mainstream over the years: OOP, Patterns, AOP, XP, Unit Testing, UML, Wiki, and Refactoring. Gaining its prestige with 3 academic tracks, OOPSLA Conference has managed to attract researchers, educators and developers every year. The event is sponsored by ACM.

Dec 04, 2009

Interview with

Ralph Johnson

by

Ryan Slobojan

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