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Facilitating the Spread of Knowledge and Innovation in Professional Software Development

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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

Where Architects Sit in the Era of AI

As AI evolves from tool to collaborator, architects must shift from manual design to meta-design. This article introduces the "Three Loops" framework (In, On, Out) to help navigate this transition. It explores how to balance oversight with delegation, mitigate risks like skill atrophy, and design the governance structures that keep AI-augmented systems safe and aligned with human intent.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Lessons Learned from Shipping AI-Powered Healthcare Products

Clara Matos discusses the journey of shipping AI-powered healthcare products at Sword Health. She explains how to implement input/output guardrails for regulated industries and shares a framework for robust evaluations using human and LLM-based ratings. From prompt engineering to RAG and user feedback loops, she shares a data-driven roadmap for building reliable AI care agents 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

DevOps Is for Product Engineers, Too

Lesley Cordero discusses platform engineering as a sociotechnical solution for scaling organizations. She explains the CALMS framework, the "pendulum of tension" between reliability and velocity, and how to transition from reactive to proactive leadership. By focusing on communal learning and distributed power, she shares how to build resilient systems without sacrificing human well-being.

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.

SOLD OUT!

InfoQ Architect Certification

Join Luca Mezzalira for this 5-week online cohort. Master socio-technical architecture leadership.

Save your spot.

QCon London 2026

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

Early Bird ends Jan 13.

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

Early Bird ends Jan 13.

InfoQ Homepage Interviews The Larger Purpose of Big Data with Pavlo Baron

The Larger Purpose of Big Data with Pavlo Baron

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18:43

Bio

Pavlo Baron is lead architect with codecentric AG. His passion are distributed systems and large data sets – the infrastructure behind what they call Big Data. Pavlo is frequent conference speaker and has written three German books: “Erlang/OTP”, “Pragmatic IT Architecture” and “Fragile Agile”.

About the conference

Software is changing the world; QCon aims to empower software development by facilitating the spread of knowledge and innovation in the enterprise software development community; to achieve this, QCon is organized as a practitioner-driven conference designed for people influencing innovation in their teams: team leads, architects, project managers, engineering directors.

Jan 30, 2013

Interview with

Pavlo Baron

by

Harry Brumleve

BT