# QCon London 2027

Published articles for QCon London 2027.

This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles.

## QCon London 2027 Announces 15 Tracks on Production AI, Architecture, and Engineering at Scale

DevFeed: [QCon London 2027 Announces 15 Tracks on Production AI, Architecture, and Engineering at Scale](<https://devfeed.tech/articles/qcon-london-2027-announces-15-tracks-on-production-ai-architecture-and-engineering-at-scale-65400.md>)

Original publisher: [Read original article](<https://www.infoq.com/news/2026/10/qconlondon-2027-track/>)

Author: Artenisa Chatziou

Published: 2026-10-06T10:00:00Z

Content type: news

Language: en

Sources: [InfoQ](<https://devfeed.tech/sources/infoq.md>)

Topics: [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>), [Chaos Engineering](<https://devfeed.tech/topics/chaos-engineering.md>), [software-architecture](<https://devfeed.tech/topics/software-architecture.md>), [AI Engineering](<https://devfeed.tech/topics/ai-engineering.md>), [engineering-leadership](<https://devfeed.tech/topics/engineering-leadership.md>), [CI/CD](<https://devfeed.tech/topics/cicd.md>), [Platform Engineering](<https://devfeed.tech/topics/platform-engineering.md>), [site-reliability-engineering](<https://devfeed.tech/topics/site-reliability-engineering.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-architecture](<https://devfeed.tech/tags/ai-architecture.md>), [ai-ml-data-engineering](<https://devfeed.tech/tags/ai-ml-data-engineering.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [architecture-design](<https://devfeed.tech/tags/architecture-design.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [development](<https://devfeed.tech/tags/development.md>), [distributed](<https://devfeed.tech/tags/distributed.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [leadership](<https://devfeed.tech/tags/leadership.md>), [ml-data-engineering](<https://devfeed.tech/tags/ml-data-engineering.md>), [news](<https://devfeed.tech/tags/news.md>), [performance-engineering](<https://devfeed.tech/tags/performance-engineering.md>), [production-ai](<https://devfeed.tech/tags/production-ai.md>), [qcon-london-2027](<https://devfeed.tech/tags/qcon-london-2027.md>), [qcon-software-development-conference](<https://devfeed.tech/tags/qcon-software-development-conference.md>), [qconlondon-2027-track](<https://devfeed.tech/tags/qconlondon-2027-track.md>), [software-engineering](<https://devfeed.tech/tags/software-engineering.md>)

### AI overview

InfoQ previews the 15-track QCon London 2027 program, which covers agent evaluation and guardrails, AI-era architecture and software delivery, distributed systems, data platforms, performance, and technical leadership. The article emphasizes assessing production trade-offs and applying practices in the context of each team's systems and organization.

### Source excerpt

A preview of the 15-track QCon London 2027 program, covering agent evaluation and guardrails, AI-era architecture, distributed-system debugging, modern data platforms, high-performance engineering, and Staff+ leadership. By Artenisa Chatziou