Infrastructure Digital Twin & Topology Graph System #46

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opened 2026-05-24 02:44:11 +02:00 by FTMahringer · 0 comments

FTMahringer commented

2026-05-24 02:44:11 +02:00

(Migrated from github.com)

Problem / Motivation

As Synapse expands into infrastructure orchestration, node management and homelab-aware automation, the platform will eventually manage:

Linux hosts
Node agents
Proxmox clusters
Docker hosts
Kubernetes clusters
switches and network devices
AI runtimes
plugins and workers
queues and workflows

Without a unified infrastructure model, it becomes difficult to visualize relationships, dependencies and runtime state.

A digital twin / topology graph system could allow Synapse to build a live model of the environment.

Related issues:

#44 Synapse Node Agent for Linux Hosts, Homelabs and Infrastructure Integrations
#45 ECHO Local Debugger & Observability Architecture
#41 Local-First & Homelab-Oriented Deployment Philosophy
#35 Workflow & Automation Ideas

Proposed Solution

Introduce a Digital Twin / Infrastructure Graph subsystem.

The system should maintain a live topology model of infrastructure and Synapse runtime components.

Possible graph entities:

Node
Worker
Plugin
Workflow
Queue
Container
VM
LXC
GPU
Switch
VLAN
Storage
Model Runtime
Service

Possible relationships:

connected-to
runs-on
depends-on
hosts
uses
routes-through
belongs-to
monitors

Visualization Ideas

Potential views:

Infrastructure topology map
Plugin dependency graph
Worker/runtime graph
AI routing graph
VLAN/network map
Queue/event flow visualization
Service dependency graph
Health/status overlays

Possible future UI inspirations:

Kubernetes topology views
Grafana node graphs
Home Assistant maps
Proxmox cluster overviews
network topology tools

Data Sources

Potential data providers:

Synapse Node Agents (#44)
SNMP integrations for switches/network devices
Proxmox APIs
Docker APIs
Kubernetes APIs
local system metrics
workflow runtime state
plugin registry metadata
event bus telemetry

Potential Use Cases

Homelab Infrastructure View

Switch
 → VLAN 40
 → Proxmox Node
 → VM
 → Synapse Worker
 → AI Runtime

AI Routing Visualization

User Request
 → Workflow
 → Capability Check
 → Worker
 → Provider
 → Model

Diagnostics

identify failed workers
detect broken dependencies
visualize event bottlenecks
identify overloaded systems
display disconnected agents

Future Extensions

real-time updates via WebSocket
infrastructure simulation
AI-assisted diagnostics
energy/power monitoring
predictive failure analysis
automatic topology discovery
drag-and-drop infrastructure management
cluster balancing visualization
AI model routing heatmaps

Security Requirements

topology visibility should respect permissions
sensitive infrastructure details should be maskable
read-only modes should exist
local-only mode should be supported
SNMP credentials/API tokens must be securely stored

Priority

Medium / Strategic

This could become a major differentiator for Synapse in homelab, infrastructure orchestration and observability environments.

## Problem / Motivation As Synapse expands into infrastructure orchestration, node management and homelab-aware automation, the platform will eventually manage: - Linux hosts - Node agents - Proxmox clusters - Docker hosts - Kubernetes clusters - switches and network devices - AI runtimes - plugins and workers - queues and workflows Without a unified infrastructure model, it becomes difficult to visualize relationships, dependencies and runtime state. A digital twin / topology graph system could allow Synapse to build a live model of the environment. Related issues: - #44 Synapse Node Agent for Linux Hosts, Homelabs and Infrastructure Integrations - #45 ECHO Local Debugger & Observability Architecture - #41 Local-First & Homelab-Oriented Deployment Philosophy - #35 Workflow & Automation Ideas --- ## Proposed Solution Introduce a Digital Twin / Infrastructure Graph subsystem. The system should maintain a live topology model of infrastructure and Synapse runtime components. Possible graph entities: ```text Node Worker Plugin Workflow Queue Container VM LXC GPU Switch VLAN Storage Model Runtime Service ``` Possible relationships: ```text connected-to runs-on depends-on hosts uses routes-through belongs-to monitors ``` --- ## Visualization Ideas Potential views: - Infrastructure topology map - Plugin dependency graph - Worker/runtime graph - AI routing graph - VLAN/network map - Queue/event flow visualization - Service dependency graph - Health/status overlays Possible future UI inspirations: - Kubernetes topology views - Grafana node graphs - Home Assistant maps - Proxmox cluster overviews - network topology tools --- ## Data Sources Potential data providers: - Synapse Node Agents (#44) - SNMP integrations for switches/network devices - Proxmox APIs - Docker APIs - Kubernetes APIs - local system metrics - workflow runtime state - plugin registry metadata - event bus telemetry --- ## Potential Use Cases ### Homelab Infrastructure View ```text Switch → VLAN 40 → Proxmox Node → VM → Synapse Worker → AI Runtime ``` ### AI Routing Visualization ```text User Request → Workflow → Capability Check → Worker → Provider → Model ``` ### Diagnostics - identify failed workers - detect broken dependencies - visualize event bottlenecks - identify overloaded systems - display disconnected agents --- ## Future Extensions - real-time updates via WebSocket - infrastructure simulation - AI-assisted diagnostics - energy/power monitoring - predictive failure analysis - automatic topology discovery - drag-and-drop infrastructure management - cluster balancing visualization - AI model routing heatmaps --- ## Security Requirements - topology visibility should respect permissions - sensitive infrastructure details should be maskable - read-only modes should exist - local-only mode should be supported - SNMP credentials/API tokens must be securely stored --- ## Priority Medium / Strategic This could become a major differentiator for Synapse in homelab, infrastructure orchestration and observability environments.