Eclipse Foundation’s ioFog 2.0 claimed as ‘true EdgeOps edge-to-cloud’ path

James is editor in chief of TechForge Media, with a passion for how technologies influence business and several Mobile World Congress events under his belt. James has interviewed a variety of leading figures in his career, from former Mafia boss Michael Franzese, to Steve Wozniak, and Jean Michel Jarre. James can be found tweeting at @James_T_Bourne.

The Eclipse ioFog project, part of the Eclipse Foundation, has released ioFog 2.0, which focuses on deploying and orchestrating containerised cloud applications to the edge.

Eclipse ioFog is concerned more widely with bringing cloud-native architectures, such as Kubernetes, to the edge, therefore enabling developers to manage, orchestrate and deploy microservices to any edge device in the same way they would for cloud-based infrastructure.

The latest iteration, featuring contributions from Edgeworx and Red Hat among others, looks to ‘EdgeOps’ capabilities – DevOps for the edge, as defined by Eclipse itself – as well as deploying new applications across hybrid cloud and edge environments.

One use case already demonstrated by the ioFog platform has been in education, where an edge AI application has monitored temperatures and mask compliance among schoolchildren to prevent the spread of Covid-19. The platform was described as the ‘backbone’ by Mike Milinkovich, executive director of the Eclipse Foundation.

“Edge computing is central to a number of transformative technologies such as AI, autonomous vehicles, smart manufacturing, and Industry 4.0, as well as being key to 5G adoption,” added Milinkovich. “The release of ioFog 2.0 showcases the Edge Native Working Group’s ability to support community members and deliver production-ready code to the broader edge computing industry.”

As this publication reported in October, the Eclipse Foundation’s IoT developer survey explored edge computing trends for the first time. Artificial intelligence was reported as the most frequent edge workload, cited by 30% of those polled. Control logic (29%), data exchange between multiple nodes (27%) and sensor fusion, fusing data aggregation and filtering (27%) were also cited.

You can find out more about the ioFog project here.

Photo by Ray Hennessy on Unsplash

Want to learn more about topics like this from thought leaders in the space? Find out more about the Edge Computing Expo, a brand new, innovative event and conference exploring the edge computing ecosystem.

View Comments
Leave a comment

Leave a Reply