Articles

InfoQ Software Architecture and Design Trends Report - April 2024

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.

Data Patterns for the Edge: Data Localization, Privacy Laws, and Performance

With growing competition to get data that power experiences to the end-user closer and closer and the advent of local data privacy laws, let's look at different enterprise data patterns like “synchronous data retrieval”, “subsequent data retrieval” and “prefetch data retrieval” on data center.

Federated Machine Learning and Edge Systems

At QCon Plus 2021, Katharine Jarmul spoke about machine learning on edge devices using federated machine learning. Some key takeaways were: federated machine learning is useful for edge devices with limited network bandwidth and can improve data privacy; and learning on edge devices can improve data diversity and allow for predictions even when the device is no longer connected.

Running React Applications at the Edge with Cloudflare Workers - Q&A with Josh Larson

Running web applications at the edge shortens the latency observed by users of web applications. Flareact is an edge-rendered React framework built for Cloudflare Workers and inspired by Next.js. Flareact currently supports file-based page routing, dynamic page paths, API routes, cache policy configuration, and edge-side data fetching APIs.

State at the Edge: an Interview with Peter Bourgon

Building upon topics in his talk at QCon London, Peter Bourgon answers questions about edge computing, distributed data, and the complexity of synchronization.

Article Series: Edge Cloud

Edge Computing and Flow Evolution

Edge computing echoes science from the field of complex adaptive systems that explains scaling patterns. Understand this science to make better decisions about what to run "on the edge."