InfoQ Homepage Architecture & Design Content on InfoQ
-
/articles/architects-ai-era/en/smallimage/Where-Architects-Sit-in-the-Era-of-AI-thumb-image-1765888921801.jpg)
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.
-
/articles/architecture-ai-augmented-change/en/smallimage/Architecture-in-a-Flow-of-AI-Augmented-Change-thumb-image-1765883092263.jpg)
Architecture in a Flow of AI-Augmented Change
While AI adoption is surging, most organizations fail to scale past pilots. The solution lies in organizational structure, not just technology. This article details how architects can enable "fast flow" by defining clear domains and guardrails. Learn how to shift from controlling outcomes to curating context, allowing AI to drive continuous, valuable business change.
-
/articles/secure-ai-development/en/smallimage/thumbnail-1765541260371.jpg)
Trustworthy Productivity: Securing AI Accelerated Development
Autonomous AI agents amplify productivity but can cause severe damage without safeguards. Defend the ReAct loop—context, reasoning, and tools—through provenance gates, planner-critic separation, scoped credentials, sandboxed code, and STRIDE/MAESTRO threat modeling. With robust logging, bounded autonomy, and red-teaming, agents can deliver trustworthy productivity while minimizing risk.
-
/articles/overload-protection-platform-engineering/en/smallimage/overload-protection-platform-engineering-1764921362184.jpg)
Overload Protection: the Missing Pillar of Platform Engineering
Overload protection is often overlooked in platform engineering, leaving teams to create inconsistent, fragile fixes. Centralized rate limits, quotas, adaptive controls, and clear visibility give services predictable ways to handle traffic spikes, reduce reliability debt, and prevent cascading failures across systems.
-
/articles/scaling-cloud-distributed-applications/en/smallimage/scaling-cloud-distributed-applications-thumbnail-1764662378257.jpg)
Scaling Cloud and Distributed Applications: Lessons and Strategies
The article shares goals and strategies for scaling cloud and distributed applications, focusing on lessons learned from cloud migration at Chase.com at JP Morgan Chase. The discussion centers on three primary goals and the strategies addressing the goals, concluding how these approaches were achieved in practice. For those managing large-scale systems, these lessons provide valuable guidance!
-
/articles/adopt-micro-frontends/en/smallimage/adopt-micro-frontends-thumbnail-1762948103768.jpg)
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.
-
/articles/multi-cloud-event-driven-architectures/en/smallimage/multi-cloud-event-driven-architectures-thumbnail-1762942967043.jpg)
Building Distributed Event-Driven Architectures across Multi-Cloud Boundaries
Multi-cloud event-driven architectures are now essential, not optional. With most organizations already multi-cloud, success depends on optimizing latency, ensuring resilience, and managing event consistency across providers. Key practices include code-level tuning, robust recovery policies, duplicate prevention, observability, and strong team readiness.
-
/articles/holistic-engineering-organic-problem-solving-complex-systems/en/smallimage/holistic-engineering-organic-problem-solving-complex-systems-thumbnail-1762857128649.jpg)
Holistic Engineering: Organic Problem Solving for Complex Evolving Systems
Late projects. Architectures that drift from their original design. Code that mysteriously evolves into something nobody planned. These persistent problems in software development often stem not from technical failures, but from forces we pretend don't exist—reward systems that incentivize the wrong behaviors, organizational structures that ignore domain boundaries, and human dynamics.
-
/articles/scaling-reverse-proxies/en/smallimage/scaling-reverse-proxies-thumbnail-1762508754668.jpg)
When Reverse Proxies Surprise You: Hard Lessons from Operating at Scale
Operating massive reverse proxy fleets reveals hard lessons: optimizations that work on smaller systems fail at scale; mundane oversights like missing commas cause major outages; and abstractions meant to simplify become hidden fragility points. Success requires profiling on target hardware, relentlessly monitoring boring details, keeping hot paths lean, and trusting instrumentation over theory.
-
/articles/building-resilient-platforms-mission-critical-infrastructure/en/smallimage/building-resilient-platforms-mission-critical-infrastructure-thumbnail-1762169439707.jpg)
Building Resilient Platforms: Insights from over Twenty Years in Mission-Critical Infrastructure
Building resilient platforms requires understanding the art and science of creating infrastructure that others depend on for critical applications. This perspective applies to anyone who builds software consumed by others at scale. Whether developing infrastructure platforms, software development platforms, or messaging systems, principles address how to build software that others consume at scale
-
/articles/empowering-decentralizing-architectural-decision-making/en/smallimage/empowering-decentralizing-thumbnail-1761736119696.jpg)
Empowering Teams: Decentralizing Architectural Decision-Making
In today’s rapidly evolving tech landscape, centralized architectural decision-making can become a bottleneck to delivery performance and innovation. Through stories from our own journey, we’ll share how decentralizing decisions improved alignment across teams, empowered faster decision-making, and fostered a culture of ownership.
-
/articles/generative-testing/en/smallimage/generative-testing-thumbnail-1761644839641.jpg)
Beyond Accidental Quality: Finding Hidden Bugs with Generative Testing
Generative testing uncovers hidden software bugs by exploring the input space and verifying system invariants. This surpasses example-based tests that rely on known scenarios and can miss edge cases.