Edge computing architecture template

Components in this architecture diagram

• Sensors & cameras
• Edge node at site
• Local ML inference
• Local actions: alarms, PLC control
• Local buffer
• Uplink available?
• Cloud ingestion
• Central data lake
• Model retraining
• Fleet manager
• Config & app deployment to sites
• Central dashboards

How to use this architecture diagram template

1. Click Open in the editor. The architecture diagram opens on a new page in FlowDiagram — nothing is uploaded and there is no sign-up.
2. Rename, add or delete shapes and drag them where you want; connectors stay attached as things move.
3. Drop in vendor logos from the library — 1,160 of them, including every AWS, Azure and Google Cloud service icon — or restyle it with the colour and theme controls.
4. Prefer text? Edit the Mermaid source below and paste it in through ☰ → Import diagram (see the Mermaid editor); it imports as an editable diagram.
5. Export to PNG, SVG or PDF, or press Ctrl+L for a link that carries the whole diagram.

Mermaid source

The whole template is the text below. Paste it into FlowDiagram, keep it in Git next to the code it describes, or hand it to an AI assistant to extend.

flowchart LR
  SENS((Sensors & cameras)) --> EDGE[Edge node at site]
  EDGE --> INF[Local ML inference]
  INF --> ACT[Local actions: alarms, PLC control]
  EDGE --> BUF[(Local buffer)]
  BUF --> NET{Uplink available?}
  NET -->|No| BUF
  NET -->|Yes| CLOUD[Cloud ingestion]
  CLOUD --> LAKE[(Central data lake)]
  LAKE --> TRAIN[Model retraining]
  TRAIN --> FLEET[Fleet manager]
  FLEET --> EDGE
  FLEET --> CONF[Config & app deployment to sites]
  CONF --> EDGE
  CLOUD --> DASH[Central dashboards]

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