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Topics

Featured in Development

Developing Meta's Orion AR Glasses

Jinsong Yu shares deep architectural insights into the Orion AR glasses, detailing the use of 11 custom microcontrollers for thermal dissipation, the SLAM/VIO needed for world-locked rendering, and input fusion (EMG, eye/hand tracking). He concludes with critical lessons for technical leaders on setting direction, managing complexity through testing, and strategic hardware-software co-design.

Developing Meta's Orion AR Glasses

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.

Micro-Frontends: A Sociotechnical Journey Toward a Modern Frontend Architecture

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

AI-Driven Software Delivery: Leveraging Lean, ChOP & LLMs to Create More Effective Learning Experiences at QCon

Wes Reisz discusses an experiment to deliver a QCon certification using a Retrieval-Augmented Generation (RAG) architecture and supervised coding agents (Claude Sonnet/Cursor). He breaks down the 4-week serverless video transcription pipeline, RAG variations (hybrid, graph), and the process of structuring prompts for 95% AI-generated code.

AI-Driven Software Delivery: Leveraging Lean, ChOP & LLMs to Create More Effective Learning Experiences at QCon

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Humans in the Loop: Engineering Leadership in a Chaotic Industry

Michelle Brush discusses engineering leadership in the age of AI/ML and automation. She explains how the Jevons Paradox will create massive software demand, but the Ironies of Automation will make the remaining engineering job harder. She shares 4 skills for success: Systems Thinking, Non-Abstract System Design, Reliability Engineering, and Complexity Theory, stressing the need for junior talent.

Humans in the Loop: Engineering Leadership in a Chaotic Industry

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.

Trust No One: Securing the Modern Software Supply Chain with Zero Trust

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.

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 Homepage Presentations Panel: SQL over Streams, Ask the Experts

AI, ML & Data Engineering

Panel: SQL over Streams, Ask the Experts

Reading list

View Presentation

Speed:

54:20

Summary

The panelists discuss the new generation of Stream Processing engines.

Bio

Tyler Akidau is Engineer at Google & Founder/Committer on Apache Beam. Stephan Ewen is CTO at DataArtisans. Michael Armbrust leads Streaming Team at Databricks. Jay Kreps is Co-Founder and CEO at Confluent. Julian Hyde is Architect at Hortonworks.

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:

Dec 05, 2017

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This content is in the AI, ML & Data Engineering topic

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