The enterprise shift toward distributed systems of specialized AI agents is happening because reality is complex, and when ...

Traditional technical debt metaphors suggest something that can be paid down incrementally. Over-engineering does not behave ...

In 2026, enterprises will be expected to automate processes that involve judgment, negotiation, compliance interpretation, ...

Distributed computing and systems software form the critical backbone of modern digital infrastructures by enabling a network of autonomous computers to work collaboratively. This paradigm supports ...

Research published in Advances in Computer and Communication establishes frameworks for integrating Role-Based Access Control and Attribute-Based Access Control within large-scale distributed ...

Distributed deep learning has emerged as an essential approach for training large-scale deep neural networks by utilising multiple computational nodes. This methodology partitions the workload either ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

Maya is VP Product at Helios, a dev-first observability platform that helps dev and ops teams improve the reliability of distributed apps. Distributed tracing, a technique used to identify performance ...

Distributed systems are essential for powering modern solutions, from social media platforms to global e-commerce sites. These systems break down complex tasks by distributing them across multiple ...