InfoQ Homepage Articles
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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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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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Renovate to Innovate: Fundamentals of Transforming Legacy Architecture
Rashmi Venugopal explores the inevitability of legacy systems in successful companies and the importance of transforming legacy systems to accelerate innovation. Rashmi discusses various strategies to tackle such technical renovation initiatives, like evolutionary architecture, deprecation-driven development, and intentional organization design.
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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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Bridging Modalities: Multimodal RAG for Advanced Information Retrieval
In this article, the authors discuss how multi-model retrieval augmented generation (RAG) techniques can enhance AI by integrating multiple modalities like text, images, and audio for deeper contextual understanding, with help of a practical example of a healthcare application.
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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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Beyond Chatbots: Architecting Domain-Specific Generative AI for Operational Decision-Making
This article explores the use of domain-specific Generative AI, models that understand operational constraints, real-world dynamics, and business rules to generate executable strategies, not just text descriptions. These models require significantly smaller datasets and fewer parameters, making them cost-effective while enabling AI-driven core business decision intelligence at scale.
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How to Compute without Looking: a Sneak Peek into Secure Multi-Party Computation
This article shows how you can compute a function across multiple parties that do not trust each other without forcing them to share their individual inputs. This technique can be used to split secrets among parties, perform logical operations, or count votes in a way that ensures data privacy is preserved.
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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.
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Applying Flow Metrics to Design Resilient Microservices
Software design with resilience is an acknowledgement to the reality that everything fails. We put metrics in place to help us detect and resolve such problems and failures. Flow metrics, commonly used to measure how well teams deliver software, can be used to measure and improve system resilience.
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AI Trends Disrupting Software Teams
In this article, author Bilgin Ibryam discusses various AI trends disrupting the overall software development process and tools, and how these trends are influencing different IT teams like developers, operations, technical writers, and SaaS service providers.