QCon London 2027 Announces 15 Tracks on Production AI, Architecture, and Engineering at Scale QCon London 2027 宣布 15 个专题，涵盖生产级 AI、架构及大规模工程

AI is changing decisions across architecture, security, software delivery, and team design. But senior engineers cannot adopt every emerging practice or copy an approach without understanding the system and organizational conditions behind it. The useful questions are why an approach worked, which compromises it required, and whether the same reasoning applies to another team’s systems.AI 正在改变架构、安全、软件交付和团队设计等方面的决策。然而，资深工程师不能盲目采纳每一项新兴实践，也不能在不了解其背后的系统和组织条件的情况下照搬方法。真正有用的问题是：一种方法为何有效？它需要做出哪些妥协？同样的逻辑是否适用于其他团队的系统？

The 15 tracks at QCon London 2027, taking place April 13–16, are organized around those questions. More than 75 practitioner speakers will share production systems they have built, the trade-offs behind them, and what they learned when designs encountered real workloads and organizational constraints.将于 2027 年 4 月 13 日至 16 日举办的 QCon London 2027 大会，其 15 个专题正是围绕这些问题展开。超过 75 位实践者讲师将分享他们构建的生产系统、背后的权衡取舍，以及当设计面对真实工作负载和组织约束时所获得的经验。

The program connects emerging AI practices with established concerns in architecture, distributed systems, data platforms, observability, performance, and technical leadership.大会议程将新兴 AI 实践与架构、分布式系统、数据平台、可观测性、性能和技术领导力等领域的既有关注点紧密连接。

Evaluating and controlling agentic systems评估与控制智能体（Agentic）系统

Moving an agent from a prototype into production requires teams to define acceptable behavior, test changing outputs, enforce boundaries, and respond when an autonomous system acts unpredictably.将智能体从原型推向生产环境，需要团队定义可接受的行为、测试不断变化的输出、强制执行边界，并在自主系统出现不可预测的行为时做出响应。

The "Eval Platforms & Guardrails for Agentic AI Systems" track will examine the evaluation systems, feedback loops, and safety mechanisms teams are building around AI-powered software. "Protecting Systems from Humans and Agents" will explore how security changes when failures can originate from human error as well as autonomous agents.“智能体 AI 系统的评估平台与防护栏”专题将探讨团队围绕 AI 驱动软件所构建的评估系统、反馈循环和安全机制。“保护系统免受人类和智能体影响”专题则将探讨当故障可能源于人为错误或自主智能体时，安全领域会发生怎样的变化。

Engineers responsible for production AI can compare how teams test failure modes and divide controls across models, applications, platforms, and operational processes. The aim is not to find one universal guardrail architecture, but to understand which controls address which risks and where gaps can remain.负责生产级 AI 的工程师可以借此对比各团队如何测试故障模式，以及如何在模型、应用、平台和运维流程之间划分控制权。其目的并非寻找一种通用的防护栏架构，而是了解哪些控制措施能应对哪些风险，以及哪些地方可能仍存在缺口。

Deciding what architecture and delivery practices need to change决定哪些架构和交付实践需要改变

Adding AI to an existing system introduces new dependencies, probabilistic outputs, data flows, and scaling characteristics. The architectural challenge is not simply deciding where to call a model. Teams must integrate intelligent components without weakening reliability, operability, security, or the ability to change the system later.将 AI 加入现有系统会引入新的依赖关系、概率性输出、数据流和扩展特征。架构挑战不仅仅是决定在何处调用模型。团队必须在不削弱可靠性、可运维性、安全性或后续系统变更能力的前提下，整合智能组件。

The "Architecture in the Age of AI" track will examine patterns for integrating AI while maintaining scalable and reliable systems. "Architectures You’ve Always Wondered About" will look beyond simplified diagrams to the compromises involved when emerging architectural ideas meet production constraints.“AI 时代的架构”专题将探讨在保持系统可扩展性和可靠性的同时整合 AI 的模式。“你一直好奇的架构”专题将跳过简化图示，深入剖析当新兴架构理念遇到生产约束时所涉及的权衡。

AI is also changing how software is planned, written, reviewed, and released. "Designing the SDLC for the Next Era of Software Engineering" will consider how workflows and responsibilities need to evolve. "Using AI for Engineering" will address what it takes to build, scale, and maintain AI-driven systems after the prototype stage.AI 也在改变软件的规划、编写、审查和发布方式。“为软件工程新时代设计 SDLC”专题将思考工作流和职责应如何演进。“使用 AI 进行工程实践”专题将探讨在原型阶段之后，构建、扩展和维护 AI 驱动系统需要做些什么。

Together, these tracks address a practical question: which parts of architecture and delivery genuinely need to change for AI, and which established engineering principles remain essential?这些专题共同探讨了一个实际问题：对于 AI 而言，架构和交付的哪些部分确实需要改变？而哪些既有的工程原则依然至关重要？

Finding the trade-offs across production systems寻找生产系统中的权衡之道

Teams adopting AI still need to diagnose distributed failures, maintain dependable data flows, understand system behavior, and scale without losing control.采用 AI 的团队仍然需要诊断分布式故障、维护可靠的数据流、理解系统行为，并在不失控的情况下进行扩展。

The "Debugging Distributed Systems" track will cover techniques for diagnosing problems across microservices and distributed architectures. "Connecting Systems: APIs, Protocols, Observability" will examine the work required to keep interconnected systems reliable and understandable as they evolve.“调试分布式系统”专题将涵盖诊断微服务和分布式架构中各种问题的技术。“连接系统：API、协议、可观测性”专题将审视在互联系统演进过程中，为保持其可靠性和可理解性所需开展的工作。

The "Modern Data Architectures and Platforms" track will focus on scalable, real-time platforms supporting analytics and AI. "Engineering for High Performance" will examine how teams reduce latency and scale under high load.“现代数据架构与平台”专题将聚焦于支持分析和 AI 的可扩展实时平台。“高性能工程”专题将探讨团队如何在高负载下降低延迟并实现扩展。

These concerns cannot be evaluated independently. A throughput improvement may make debugging harder. A data platform designed for AI workloads may create new operational dependencies. A flexible integration layer may make failure behavior harder to reason about. Production accounts help engineers see these second-order effects before making similar investments.这些关注点无法独立评估。吞吐量的提升可能会增加调试难度；为 AI 工作负载设计的数据平台可能会产生新的运维依赖；灵活的集成层可能会使故障行为更难推断。生产案例研究能帮助工程师在进行类似投资前，预见这些二阶效应。

Extending technical judgment across teams在团队间扩展技术判断力

Architecture and AI decisions increasingly cross team boundaries. Senior engineers must establish direction, challenge assumptions, and create alignment without always having organizational authority.架构和 AI 决策日益跨越团队边界。资深工程师必须在不一定拥有组织授权的情况下，确立方向、挑战假设并建立共识。

The "Staff+ Engineering Skills" track will examine influencing across teams and contributing to technical strategy. "Managing Teams in an AI-Driven World" will explore how roles, skills, workflows, and organizational structures are changing as companies adopt AI.“Staff+ 工程技能”专题将探讨如何跨团队施加影响并为技术战略做出贡献。“在 AI 驱动的世界中管理团队”专题将探讨随着企业采用 AI，角色、技能、工作流和组织结构正在发生怎样的变化。

For Staff+ engineers and architects, the relevant question is not only whether a technical decision is sound. It is whether its reasoning can be communicated, challenged, and applied consistently across an organization.对于 Staff+ 工程师和架构师而言，相关的问题不仅在于技术决策是否合理，还在于其背后的逻辑能否在整个组织内得到沟通、质疑并保持一致的应用。

Testing ideas against your own context在自身背景下验证想法

The conversations continue outside the scheduled presentations. Unconference sessions allow attendees to bring a current problem and compare possible approaches with other practitioners. Longer breaks provide time to continue technical discussions, and most session recordings remain available for 12 months.交流在正式演示之外仍在继续。非正式会议（Unconference）允许参会者提出当前面临的问题，并与其他实践者对比可能的解决方案。较长的休息时间提供了继续技术讨论的机会，且大多数会议录像将在 12 个月内保持可用。

The goal is not to collect practices to copy unchanged. It is to understand the conditions under which an approach worked, the compromises involved, and whether the same reasoning applies to the systems and teams you are responsible for.目标不是收集可以原封不动照搬的实践，而是理解某种方法奏效的条件、涉及的权衡，以及同样的逻辑是否适用于你所负责的系统和团队。

Attendees who want to apply the program to a specific architecture challenge can join the InfoQ Certified Software Architect in Emerging Technologies program. It combines the three conference days with a dedicated peer cohort and a half-day workshop on April 16 led by Luca Mezzalira, an O’Reilly author and former AWS and DAZN architect. Participants work through real architecture challenges and earn the ICSAET credential after completing the program.希望将会议内容应用于特定架构挑战的参会者，可以加入 InfoQ 认证新兴技术软件架构师（ICSAET）项目。该项目结合了三天的会议日程、专门的同行小组，以及由 O’Reilly 作者、前 AWS 和 DAZN 架构师 Luca Mezzalira 主讲的 4 月 16 日半天研讨会。参与者将通过实际架构挑战进行学习，并在完成项目后获得 ICSAET 认证。

QCon London 2027 takes place at the QEII Centre in London. The conference runs April 13–15, followed by the certification workshop on April 16. Early-bird conference tickets are £2,290 through October 13. Conference and certification tickets are £2,800 through October 13.QCon London 2027 将在伦敦 QEII 中心举行。会议于 4 月 13 日至 15 日召开，随后于 4 月 16 日举行认证研讨会。10 月 13 日前购买会议早鸟票为 2,290 英镑。会议加认证套票在 10 月 13 日前为 2,800 英镑。

Explore all 15 tracks at QCon London 2027.探索 QCon London 2027 的全部 15 个专题。

About the Author

Artenisa Chatziou

Show moreShow less