InfoQ Homepage Performance Content on InfoQ
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/articles/microservices-traffic-mirroring-istio-vpc/en/smallimage/microservices-traffic-mirroring-istio-vpc-thumbnail-1749024388746.jpg)
Using Traffic Mirroring to Debug and Test Microservices in Production-Like Environments
Traffic mirroring has evolved from a network security tool to a robust method for debugging and testing microservices using real-world data. By safely duplicating production traffic to a shadow environment, teams can replicate elusive bugs, profile performance under actual load, validate new features, and detect regressions, ensuring that production remains isolated and user experiences intact.
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/articles/scalable-resilient-event-systems/en/smallimage/scalable-resilient-event-systems-thumbnail-1748422904015.jpg)
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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/articles/personalized-content-pagination-prefetching/en/smallimage/personalized-content-pagination-prefetching-thumbnail-1748248589509.jpg)
Faster, Smoother, More Engaging: Personalized Content Pagination
Dynamic content loading powered by AI transforms user experiences by personalizing delivery based on user's behavior and network conditions. By analyzing scroll depth, speed, and dwell time, we optimize loading times, enhance engagement, and reduce infrastructure costs, especially on devices with poor internet connectivity.
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/articles/culture-trends-2025/en/smallimage/infoq-trends-report-small-logo-1746021971556.jpeg)
InfoQ Culture and Methods Trends Report - 2025
This report summarizes how the InfoQ Culture and Methods editorial team sees the ongoing and emergent trends in the culture and methods space.
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/articles/flow-metrics-microservices/en/smallimage/flow-metrics-microservices-thumbnail-1742824163851.jpg)
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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/articles/building-observable-machine-learning-systems/en/smallimage/beyond-notebook-thumbnail-1741852201404.jpg)
Beyond Notebook: Building Observable Machine Learning Systems
In this article, the author discusses a machine learning pipeline with observability built-in for credit card fraud detection use case, with tools like MLflow, FastAPI, Streamlit, Apache Kafka, Prometheus, Grafana, and Evidently AI.
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/articles/secure-ai-powered-early-detection-system/en/smallimage/designing-architecture-ai-models-thumbnail-1740475990469.jpg)
Secure AI-Powered Early Detection System for Medical Data Analysis & Diagnosis
In this article, the author discusses the techniques for securing AI applications in healthcare with an use case of early detection system for medical data analysis & diagnosis. The proposed layered architecture includes application components to support secure computation, ai modeling, governance and compliance, and monitoring and auditing.
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/articles/micro-metrics-llm-evaluation/en/smallimage/framework-building-micro-metrics-logo-small-1737371317541.jpg)
A Framework for Building Micro Metrics for LLM System Evaluation
LLM accuracy is a challenging topic to address and is much more multi-dimensional than a simple accuracy score. Denys Linkov introduces a framework for creating micro metrics to evaluate LLM systems, focusing on goal-aligned metrics that improve performance and reliability. By adopting an iterative "crawl, walk, run" methodology, teams can incrementally develop observability.
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/articles/transforming-legacy-healthcare-systems/en/smallimage/transforming-legacy-healthcare-logo-small-1731055590401.jpg)
Transforming Legacy Healthcare Systems: a Journey to Cloud-Native Architecture
Discover how Livi navigated the complexities of transitioning MJog, a legacy healthcare system, to a cloud-native architecture, sharing valuable insights for successful tech modernization. Our experience illustrates that transitioning from legacy systems to cloud-based microservices is not a one-time project, but an ongoing journey.
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/articles/foster-creativity-design-system/en/smallimage/how-rules-boundaries-logo-small-1730453357995.jpg)
How Rules Can Foster Creativity: the Design System of Reykjavík
The value of design systems is especially evident in the public sector, where the need to use taxpayer money effectively aligns with the demand for user-centered solutions. By examining Reykjavík’s design system, we can gain insights into how design systems promote creativity, efficiency, and collaboration, with implications for both private and public sectors.
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/articles/cell-based-architecture-adoption-guidelines/en/smallimage/cell-based-architecture-logo-small-1730198054924.jpg)
Cell-Based Architecture Adoption Guidelines
The challenges in building modern, reliable, and understandable distributed systems continue to grow, and cell-based architecture is a valuable way to accept, isolate, and stay reliable in the face of failures. Organizations must ensure that the cell-based architecture is the right fit for them and that the migration will not cause more problems than it solves.
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/articles/cell-based-architecture-application-security/en/smallimage/cba-security-small-1729762783227.jpeg)
Securing Cell-Based Architecture in Modern Applications
Securing cell-based architecture is essential to fully capitalize on its benefits while minimizing risks. To achieve this, comprehensive security measures must be put in place. Organizations can start by isolating and containing cells using sandbox environments and strict access control mechanisms like role-based and attribute-based access control.