InfoQ Homepage Architecture Content on InfoQ
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Designing Resilient Event-Driven Systems at Scale
Learn how to design resilient event-driven systems that scale. Explore key patterns like shuffle sharding and decoupling queues to handle load spikes and failures. Understand common pitfalls like over-relying on retries and neglecting observability for robust, scalable architectures.
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Mocking gRPC in Spring Boot Microservice Integration Tests with WireMock
Mocking gRPC services allows you to validate gRPC integration code during your tests while avoiding common pitfalls such as unreliable sandboxes, version mismatches, and complex test data setup requirements. Learn how to use WireMock’s Spring Boot integration to mock gRPC services.
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/articles/AI-legacy-modernization/en/smallimage/AI-legacy-modernization-thumbnail-1746528855677.jpg)
AI Interventions to Reduce Cycle Time in Legacy Modernization
In this article, we share our experiences and insights on how large language models (LLMs) helped us uncover and enhance the conceptual constructs behind software. We discuss how these approaches address the inherent complexity of software engineering and improve the likelihood of success in large, complex software modernization projects.
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Beyond the Gang of Four: Practical Design Patterns for Modern AI Systems
In this article, author Rahul Suresh discusses emerging AI patterns in the areas of prompting, responsible AI, user experience, AI-Ops, and optimization, with code examples for each design pattern.
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/articles/lcm-paradigm-shift-ai-reasoning/en/smallimage/lcm-paradigm-shift-ai-reasoning-thumbanil-1747043782723.jpg)
Large Concept Models: a Paradigm Shift in AI Reasoning
Differently from LLMs, Large Concept Models (LCMs) use structured knowledge to grasp relationships between concepts, enhancing the decision-making process and providing a transparent reasoning audit trail. Using LCMs with LLMs can facilitate building AI systems that can analyze complex scenarios and effectively communicate insights, driving towards developing more reliable and explainable AI.
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Legacy Modernization: Architecting Real-Time Systems around a Mainframe
At its heart, our transformation journey is about breaking dependencies at multiple levels. Many enterprises face similar challenges with legacy systems: tightly coupled architectures that are difficult to scale, change, or maintain. For us at National Grid, the solution came through four complementary paradigms that worked together to enable different forms of decoupling.
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InfoQ Software Architecture and Design Trends Report - 2025
The InfoQ Trends Reports offer InfoQ readers a comprehensive overview of key topics worthy of attention. The reports also guide the InfoQ editorial team towards cutting-edge technologies in our reporting. In conjunction with the report and trends graph, our accompanying podcast features insightful discussions among the editors digging deeper into some of the trends.
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/articles/distributed-cloud-privacy-ai/en/smallimage/Distributed-Cloud-Computing-Enhancing-Privacy-with-AI-Driven-Solutions-thumbnail-1745331120613.jpg)
Distributed Cloud Computing: Enhancing Privacy with AI-Driven Solutions
Distributed cloud, PETs, and AI enable secure, private data processing. This integration enhances collaboration, security, and compliance across marketing, finance, and healthcare, addressing the growing need for data protection.
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Fitness Functions for Your Architecture
Software, its size, its requirements, and its infrastructure environment evolve over time. Software architecture should evolve accordingly, to meet current and future operational and developmental requirements. Fitness functions are guardrails that enable the continuous evolution of your system's architecture, within a range and a direction, that you desire and define.
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Shadow Table Strategy for Seamless Service Extractions and Data Migrations
The shadow table strategy creates a synchronized duplicate of the data that keeps the production system fully operational during changes, enabling zero-downtime migrations. The approach supports diverse scenarios - including database migrations, microservices extractions, and incremental schema refactoring - that update live systems safely and progressively.
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/articles/architectural-experimentation-faq/en/smallimage/architectural-experimentation-faq-thumbnail-1743578735799.jpg)
Architectural Experimentation in Practice: Frequently Asked Questions
This third article in a series answers some frequently asked questions about architectural experiments. Architectural experiments test critical decisions to reduce risks and costs, using well-defined hypotheses and results for clarity. They are structured, not unfocused, exploratory learning.
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/articles/dirma-measuring-disaster-recovery/en/smallimage/dirma-measuring-disaster-recovery-thumbnail-1742895674005.jpg)
DiRMA: Measuring How Your Organization Manages Chaos
Elevate your disaster recovery strategy with DiRMA—an innovative framework for assessing and enhancing Disaster Recovery Testing (DiRT) maturity across people, processes, and tools. As chaos engineering becomes essential for resilience, DiRMA guides organizations through structured improvement, addressing cultural hurdles and ensuring robust recovery readiness in the face of modern challenges.