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Energizing the Manufacturing Industry with Kubernetes and Cloud Native

Offered By: CNCF [Cloud Native Computing Foundation] via YouTube

Tags

Kubernetes Courses Semantic Web Courses Apache Flink Courses Digital Twins Courses Industrial IoT Courses

Course Description

Overview

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Explore a conference talk on leveraging Kubernetes and cloud-native technologies to revolutionize the manufacturing industry. Discover the Cloud Native Digital Twin architecture developed by the IndustryFusion Foundation (IFF) for digitizing factory processes and achieving carbon neutrality in metal processing. Learn about the implementation of CNCF certified Kubernetes clusters across machine gateways, factory servers, and cloud deployments, ensuring provider independence. Delve into the declarative Digital Twin architecture based on Semantic Web frameworks, and understand the custom Kubernetes operator developed for monitoring and deploying factory processes as Apache Flink jobs using Streaming SQL. Gain insights into the challenges and solutions encountered when implementing Kubernetes and cloud-native approaches in manufacturing environments, particularly in collaborating with machine builders and factory owners.

Syllabus

Intro
Agenda
Small & Medium Businesses in European Manufacturing
IndustryFusion' Foundation (IFF) - Self Empowerment of SMBs
Reference Use Case: „Smartness for OpEx
Domain Expert Cooperation and Safety are Biggest Challenge to Create Value
Semantic Web in a Nutshell: Resource Description Framework (RDF)
Entities of the Semantic Web: JSON-LD
Validation of the Semantic Web: Shapes Constraint Language (SHACL)
Semantic Web Summary
Motivation for Selected Architecture
IndustryFusion Architectural Overview
Semantic SQL K8s Operator: Declarative Data Processing Generated from SHACL
Everything is a topic... and a relational table
IndustryFusion Semantic SQL KBS Operator: CRDs to Manage Tables and SQL Execution
Kubernets and Industrial SMBS - Does it Fit?
Conclusion, Future Work & Call to Action


Taught by

CNCF [Cloud Native Computing Foundation]

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