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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.
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/articles/adaptive-responses-resilience-software-operations/en/smallimage/5-strategies-to-resiliently-logo-small-1729165326496.jpg)
Adaptive Responses to Resiliently Handle Hard Problems in Software Operations
As engineers move into more senior positions such as Staff Engineer, Architect, or Sr Tech Lead roles, their knowledge and experience is often applied across the system. This expertise is increasingly needed for handling novel problems or designing innovative solutions to complex problems. This article discusses strategies for approaching your role as a senior member of your organization.
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/articles/cell-based-architecture-resilient-fault-tolerant-systems/en/smallimage/taking-advantage-cell-based-logo-small-1728980269641.jpg)
Taking Advantage of Cell-Based Architectures to Build Resilient and Fault-Tolerant Systems
Cell-based architectures offer a robust approach to building resilient systems. They achieve this through the core principles of isolation, autonomy, and replication. Each cell manages its resources and makes decisions autonomously. Observability for cell-based architecture requires a tailored approach to address the unique challenges and opportunities presented by this distributed system design.
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/articles/multi-region-architecture/en/smallimage/optimizing-wellhub-autocomplete-logo-small-1728898753118.jpg)
Optimizing Wellhub Autocomplete Service Latency: a Multi-Region Architecture
Every company wants fast, reliable, and low-latency services. Achieving these goals requires significant investment and effort. In this article, I will share how Wellhub invested in a multi-region architecture to achieve a low-latency autocomplete service.
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/articles/netflix-global-cache/en/smallimage/updated-building-a-global-caching-system-netflix-small-logo-100x100-1728553337254.jpg)
Building a Global Caching System at Netflix: a Deep Dive to Global Replication
Netflix's EVCache system handles 400M ops/second across 22,000 servers, managing 14.3 PB of data. This infrastructure ensures global availability and resilience through intelligent data routing and flexible replication strategies. By implementing batch compression and switching to DNS-based discovery, Netflix optimizes efficiency, reduces bandwidth usage and significantly lowers operational costs.
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/articles/minimize-latency-cost-distributed-systems/en/smallimage/minimize-latency-small-logo-1727087503275.jpg)
How to Minimize Latency and Cost in Distributed Systems
Explore the benefits and challenges of microservices architecture in cloud environments, focusing on achieving resilience and high availability while managing costs and performance issues.
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/articles/java-virtual-threads-a-case-study/en/smallimage/java-virtual-threads-small-logo-1720447061699.jpg)
Java Virtual Threads: a Case Study
This article explores JDK 21's virtual threads, comparing their performance with Open Liberty's thread pool. It covers key findings like throughput, ramp-up times, and memory footprint. Despite advantages, virtual threads showed unexpected performance issues, especially in CPU-intensive workloads. This analysis guides Java developers on when and how to use virtual threads in their applications.