Dean Oren & Stefan Belsch
From Factory Floor to Kubernetes Core: Building an Edge Platform One Step at a Time
#1about 4 minutes
Introducing the platform for Schwarz Group's industrial operations
An overview of the challenge of bridging industrial operations and modern software at the Schwarz Group's diverse divisions like Kaufland and PreZero.
#2about 2 minutes
The platform's origin and core design principles
The platform began in 2020 to solve machine connectivity challenges, guided by principles like using Git everywhere and a hub-and-spoke model.
#3about 2 minutes
Evolving the platform from POC to critical infrastructure
The platform evolved from a proof-of-concept to a critical, automated system with 24/7 support by using Terraform and Azure DevOps pipelines.
#4about 1 minute
A pragmatic approach to tool selection and evolution
Tooling decisions are documented with ADRs, prioritizing open-source solutions first while adopting enterprise tools for security and scalability needs.
#5about 2 minutes
A high-level overview of the platform architecture
The architecture uses a hub-and-spoke model with on-prem Kubernetes control planes managing edge devices running K3s and cloud-based SKE clusters.
#6about 3 minutes
Use case: AI-driven foreign object detection in manufacturing
A practical example shows how the platform supports an AI application for quality assurance on a factory conveyor belt using an integrated observability stack.
#7about 2 minutes
Onboarding a new edge device using a GitOps workflow
A new edge device is automatically bootstrapped with K3s and connected to the control plane using an Argo CD job triggered by changes in Azure.
#8about 1 minute
Future plans for automation and self-service capabilities
The team plans to build a 'control plane of control planes' and a self-service interface for customers to bootstrap their own edge devices.
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Matching moments
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Using AI to overcome challenges in systems programming
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Breaking down silos between HR, tech, and business
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The evolving role of the machine learning engineer
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Building an open source community around AI models
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Balancing the trade-off between efficiency and resilience
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Moving beyond headcount to solve business problems
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