Overview
As member of Akraino's Kubernetes-Native Infrastructure family of blueprints, the Industrial Edge (IE) blueprint leverages the best-practices and tools from the Kubernetes community to declaratively manage edge computing stacks (i.e. all infrastructure, clusters, and services) at scale and with a consistent, uniform user experience.
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The 3-node, highly-available factory edge clusters produced by this blueprint are manageble via a central management hub running Open Cluster Managemer and using GitOps principles.Management. The management hub cluster also deploys hosts OpenDataHub that allows , which allows streaming data mirrored from factory edge clusters to be stored in a data lake for re-training of machine learning models and deploying updated models back to the factory sites. OpenDataHub also deploys includes Jupyter Notebooks for data scientists to analyse data and work on models. Updated models can be distributed out to the factory via the same GitOps mechanisms used also for updates of the clusters and their workloads.
Documentation
User Documentation for KNI Blueprints
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