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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

Trustworthy Productivity: Securing AI Accelerated Development

Autonomous AI agents amplify productivity but can cause severe damage without safeguards. Defend the ReAct loop—context, reasoning, and tools—through provenance gates, planner-critic separation, scoped credentials, sandboxed code, and STRIDE/MAESTRO threat modeling. With robust logging, bounded autonomy, and red-teaming, agents can deliver trustworthy productivity while minimizing risk.

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

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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.

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QCon AI Boston

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

Early Bird ends Jan 13.

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Architecture & Design

Architecture Through Different Lenses 2025

This eMag explores architecture through five distinct lenses: the socio-technical forces that invisibly shape our code, the paradox of infrastructure that succeeds by disappearing, the power of distributed intelligence over centralized control, the evolutionary advantage of iteration over revolution, and the pragmatic reality of designing for inevitable complexity.

InfoQ
on Dec 08, 2025

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Topics

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

Trustworthy Productivity: Securing AI Accelerated Development

Powering Enterprise AI Applications with Data and Open Source Software

Empowering Teams: Decentralizing Architectural Decision-Making

Overload Protection: the Missing Pillar of Platform Engineering

Helpful links

Choose your language

Guides

Architecture Through Different Lenses 2025

Magika 1.0: Smarter, Faster File Detection with Rust and AI

HL is a Fast, Rust-Based JSON Log Viewer Offering up to 2GiB/s Parsing Speed

Lessons Learned in Migrating to Micro-Frontends by Luca Mezzalira at QCon SF

Trustworthy Productivity: Securing AI Accelerated Development

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

Breaking Silos: Netflix Introduces Upper Metamodel to Bring Consistency across Content Engineering

Empowering Teams: Decentralizing Architectural Decision-Making

Leading from Any Position: Richard Bown on Humane Engineering Organizations

Learnings from Cultivating Machine Learning Engineers as a Team Manager

Powering Enterprise AI Applications with Data and Open Source Software

AlphaEvolve Enters Google Cloud as an Agentic System for Algorithm Optimization

Five AI Security Myths Debunked at InfoQ Dev Summit Munich

Yelp Publishes Blueprint for Managing S3 Server-Access Logs at Massive Scale

Google Cloud Demonstrates Massive Kubernetes Scale with 130,000-Node GKE Cluster

Overload Protection: the Missing Pillar of Platform Engineering

QCon AI New York

QCon London

QCon AI Boston

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