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Topics

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

Micro-Frontends: A Sociotechnical Journey Toward a Modern Frontend Architecture
Micro-frontends differ from components by emphasising autonomy and flow over standardisation and reuse—a sociotechnical shift aligned with Conway's law. Migration should be gradual, starting where autonomy is most beneficial and ensuring that the architecture aligns with the team structure. Duplication can benefit the flow and enable iterative delivery, rather than requiring extensive rewrites.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Reliable Data Flows and Scalable Platforms: Tackling Key Data Challenges
Matthias Niehoff discusses how to bridge the gap between application development and data engineering. Learn to apply software engineering best practices to data pipelines, embrace boring technologies, and simplify architecture to maximize business value and data reliability.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Authenticity Over Convention: Lessons from 16 Years of Solo Game Development
In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Joe Cassavaugh about building a sustainable solopreneur game development business, the importance of authenticity over conventional wisdom, and learning from both successes and failures in the digital content marketplace.

All in culture-methods

Featured in DevOps

Trust No One: Securing the Modern Software Supply Chain with Zero Trust
Emma Yuan Fang explains the Zero Trust mindset required to combat modern software supply chain attacks. She details security controls for dependency management, including SBOM (Software Bill of Materials), artifact signing, Git commit signing, and CI/CD hardening. Learn how to implement security gating, enforce policies as code, and manage secrets across your build and runtime environments.

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QCon AI New York 2025

Go from AI demos to real engineering impact. Learn to embed LLMs, govern & scale securely.

Early Bird ends Dec 9.

QCon London 2026

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

Early Bird ends Dec 9.

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

Launch pricing ends Dec 9.

InfoQ HomepagePresentationsReal-Time, Fine-Grained Version Control with CRDTs

QCon AI New York (Dec 16-17): The AI conference for developers, architects & engineering leaders.

Real-Time, Fine-Grained Version Control with CRDTs

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50:00

Summary

Nathan Sobo covers the foundations of CRDTs, then explores how Github is using them in Eon to synchronize and persist changes to a repository at the granularity of individual keystrokes.

Bio

Nathan Sobo is a founding member of the Atom Editor team at GitHub.

About the conference

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

Recorded at:

Sep 26, 2018

by

Nathan Sobo

This content is in theQCon Software Development Conference topic

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