Edge vs Cloud for Industrial Data: A Decision Framework, Not a Religion
Cloud is not always the answer, and edge is not automatically safer. A practical framework for where processing should live.
· 2 min
Edge & IIoT / EN
TOPIC HUB
Edge computing & IIoT architecture
Where should data be processed, buffered and modeled? These guides compare edge and cloud placement, container-based edge deployments, update pipelines for gateways, observability across IT and OT, and the architecture that connects PLCs, brokers, historians and business systems.
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A suggested reading order
Edge & IIoT / EN
Edge Computing for Industrial IT Teams: A Practical Starting Point
What belongs at the edge, how to choose hardware, how to run and update it, and when not to use it: a practical guide for IT teams moving compute closer to the production line.
· 3 min
Edge & IIoT / EN
Containerization on the Factory Floor: Docker and K3s for Industrial Edge
What containerization looks like on a factory floor: when Docker or Podman is enough, when K3s earns its place, and the pitfalls to plan for, from persistent storage to rollbacks.
· 5 minPDF RESOURCES
All resources Take it to the meeting.
PDF · 2 pages
Write a data contract your automation and IT teams can both use
Define meaning, timing, quality and ownership so an industrial tag remains understandable outside its source system.
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Edge & IIoT / EN
Edge vs Cloud for Industrial Data: A Decision Framework, Not a Religion
Cloud is not always the answer, and edge is not automatically safer. A practical framework for where processing should live.
· 2 minEdge & IIoT / EN
Edge Computing for Industrial IT Teams: A Practical Starting Point
What belongs at the edge, how to choose hardware, how to run and update it, and when not to use it: a practical guide for IT teams moving compute closer to the production line.
· 3 minEdge & IIoT / EN
Containerization on the Factory Floor: Docker and K3s for Industrial Edge
What containerization looks like on a factory floor: when Docker or Podman is enough, when K3s earns its place, and the pitfalls to plan for, from persistent storage to rollbacks.
· 5 min
Edge & IIoT / EN
CI/CD for Industrial Edge Devices and Gateway Firmware
How to apply continuous delivery practices to industrial PCs and edge gateways without risking production stability: versioned configuration, staged rollout, rollback and shared approvals.
· 3 min
Industrial data / EN
Time-Series Data at the Industrial Edge: MQTT, InfluxDB, and the Architecture Behind It
Storing and querying industrial time-series data at the edge requires a different mindset than cloud-native architectures. Here is what works in practice.
· 3 min
Industrial protocols / EN
MQTT topic design for factories: a unified namespace you can maintain
How to structure MQTT topics with an ISA-95-style hierarchy, what belongs in the topic versus the payload, how retained messages and last will fit, and which anti-patterns to avoid.
· 4 min
Industrial data / EN
Sizing an IIoT data budget: sampling, deadband and retention
How tag count, sampling interval, payload size, overhead and retention combine into bandwidth and storage numbers, and how deadband and compression change them.
· 4 min
Industrial data / EN
Time synchronization for industrial data: NTP, PTP and timestamp discipline
Why timestamps decide whether data can be trusted, where NTP is enough, when PTP is worth the effort, and how to choose a single time source and timestamp convention.
· 4 min
Industrial data / EN
Running Lightweight ML Models at the Industrial Edge with ONNX
Why and how to run compact machine learning models on edge devices with ONNX Runtime: model export, quantization trade-offs, input validation, local buffering and safe model updates.
· 3 min
Edge & IIoT / EN
Practical Digital Twin Implementation for Mid-Sized Manufacturers
A realistic way to start a digital twin: begin with one question about one asset, connect live data, validate the model against reality and assign an owner who keeps it current.
· 3 min
Edge & IIoT / EN
Observability That Actually Works in Hybrid IT/OT Environments
How to build monitoring and alerting that spans IT systems and industrial control networks without drowning operators in noise: the three questions to answer, what to measure and how to design alerts.
· 2 min
Edge & IIoT / EN
Web-Based SCADA: Why Browser-First Is the Future of Industrial Monitoring
Thick clients, Windows workstations and painful upgrade cycles are the usual pain points of classic SCADA. How browser-delivered SCADA changes the architecture, and how to migrate without a big-bang replacement.
· 4 min
Edge & IIoT / EN
MES vs ERP vs SCADA: Understanding the Manufacturing Software Stack
The three-letter acronyms blur together, but each layer answers a different question. A clear map of where data originates and flows.
· 2 minCOMMON QUESTIONS
Short answers.
When does edge beat cloud?
When you need low latency, tolerance of connection loss, lower bandwidth cost or data that must stay on site. Our decision-framework article covers it in detail.
How should I manage updates to edge devices?
Pin versions, roll out in stages, test the rollback path beforehand and keep a record of every device’s version.
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