Industrial Edge (IE) Blueprint

Industrial Edge (IE) Blueprint

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.

The Industrial Edge blueprint addresses a common use case in manufacturing which is "predictive maintenance", the detection of anomalies in sensor data coming from production line servers to be able to schedule maintenance and avoid costly downtimes. Anomaly detection is based on machine learning inference on streaming sensor data.

The 3-node, highly-available factory edge clusters produced by this blueprint are manageble via a central management hub running Open Cluster ManagementThe management hub cluster also hosts OpenDataHub, 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 includes Jupyter Notebooks for data scientists to analyse data and work on models.

Documentation

User Documentation for KNI Blueprints

KNI IE Architecture

KNI IE Installation Guide

KNI IE Test document

Project Team

Member

Company

Contact

Role

Photo & Bio 

Frank Zdarsky

Red Hat

@Frank Zdarsky

Committer

Edge Computing Team Lead, Emerging Technologies, Office of the CTO

Andrew Bays

Red Hat

@Andrew Bays

Committer



Yolanda Robla

Red Hat

@Yolanda Robla Mota (Deactivated)

Committer

Red Hat NFVPE - Edge, baremetal provisioning

Ricardo Noriega

Red Hat

@Ricardo Noriega De Soto

PTL

Principal Software Engineer, Emerging Technologies, Office of the CTO

Abhinivesh Jain

Wipro

@Abhinivesh Jain

Committer

Distinguished Member of Technical Staff, CTO office

Project Templates

Use Case Template

Attributes

Description

Informational

Attributes

Description

Informational

Type

New



Industry Sector

Manufacturing, Energy



Business Driver





Business Use Cases





Business Cost - Initial Build Cost Target Objective





Business Cost – Target Operational Objective





Security Need





Regulations





Other Restrictions





Additional Details





Blueprint Template

Attributes

Description

Informational

Attributes

Description

Informational

Type

New



Blueprint Family - Proposed Name

Kubernetes-Native Infrastructure for Edge (KNI-Edge)



Use Case

Industrial Edge (IE)



Blueprint - Proposed Name

Industrial Edge (IE)



Initial POD Cost (CAPEX)

(TBC)



Scale & Type

3 servers to 1 rack; x86 servers (Xeon class)



Applications

IoT Cloud Platform, Analytics/AI/ML, AR/VR, ultra-low latency control



Power Restrictions

(TBC)



Infrastructure orchestration

End-to-end Service Orchestration: n/a
Middlewares: Knative (serverless), Kubeflow (AI/ML), EdgeX (IoT)
App Lifecycle Management: Kubernetes Operators (mix of Helm and native)
Cluster Lifecycle Management: Kubernetes Cluster API/Controller
Cluster Monitoring: Prometheus
Container Platform: Kubernetes (OKD 4.0)
Container Runtime: CRI-O
VM Runtime: KubeVirt
OS: CoreOS, CentOS-rt





SDN

OVN



SDS

Ceph



Workload Type

containers, VMs



Additional Details