Edge Computing: What Needs to Change to Increase Its Use
Moving to an edge architecture requires managing costs, orchestration, and security
How edge computing and edge analytics use real-time data for a variety of applications, including IoT.
Moving to an edge architecture requires managing costs, orchestration, and security
The most significant implication of using mobile edge computing seems to be a continued focus on efficient data processing and gaining timely insights.
Earlier entrants are getting a head start on reaping the benefits of edge computing and they are providing roadmaps and lessons that will benefit everyone …
IoT infrastructure is one possible way to build an edge computing environment.
Containers can provide powerful benefits to make it easier to deploy long-lifecycle, embedded solutions that require minimal footprints and are robust enough …
In many situations, using cloud computing and edge computing at the same time can lead to the best overall outcome from a performance perspective.
CIOs are realizing that the edge is the key to unleashing innovative
DevOps is considered the best way to meet the embedded software market demands for more applications and new features, all made available in shorter
To remain ahead of the curve and avoid the mishaps that come naturally with livestreaming, businesses need to plan for scalability, data durability, and fault …
The people-centric internet has created incalculable innovation and societal change. Expect nothing less from the Internet's next machine-centric