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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

Architecting Planet Scale, Modern Apps in the Cloud

George Mao shares a deep dive into evolving a basic web application to a planet-scale, global architecture. He walks through five stages of maturity, focusing on adding enterprise-grade security, achieving global high availability and disaster recovery, optimizing content delivery costs with CDNs, and implementing globally consistent persistence using serverless technologies.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Securing AI Assistants: Strategies and Practices for Protecting Data

Andra Lezza explains the criticality of data security for AI copilots, detailing the OWASP AI Exchange threat model and the OWASP Top 10 LLM risks. She reviews two copilot architectures - independent (single domain) and integrated (multi-tenant) - listing specific threats, controls, and best practices like granular authorization, templates, and DevSecOps to secure the entire AI data supply chain.

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 Linda Rising: Prejudices Can Alter Team Work

Linda Rising: Prejudices Can Alter Team Work

46:29

Bio

Linda Rising is an independent software consultant with a background in Mathematics and a Ph.D. in object-based design metrics. A proponent of patterns and their application in the workplace, Linda and Mary Lynn Manns are the authors of Fearless Change: Patterns for Introducing New Ideas, and editor of Design Patterns in Communications Software, The Pattern Almanac 2000, and The Patterns Handbook.

About the conference

Oct 25, 2008

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