Authors: Larry Carvalho, Stu Miniman, Marilyn Basanta, Muneyb Minhazuddin
2022-10-26
tldr - powered by Generative AI
The presentation discusses the challenges and solutions for deploying applications at the edge, with a focus on Edge native and data handling. The use of Kubernetes and OpenShift is highlighted as a way to achieve consistency across different environments.
The challenge of deploying applications at the edge is to have a consistent operational and management model across different environments
Edge native applications need to take into account the different attributes of the edge, such as data handling and networking
Efficient data handling at the edge is crucial, with the need to balance processing at the edge and sending training bits back to the central model
Kubernetes and OpenShift can provide consistency across different environments, with the use of single node OpenShift allowing for deployment in disconnected environments
The use of ML/AI, 5G networking, and hardware acceleration are improving the evolution of edge technology