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ScadaBridge/docs/deployment/topology-guide.md
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Markdown

# ScadaBridge Cluster Topology Guide
## Architecture Overview
ScadaBridge uses a hub-and-spoke architecture:
- **Central Cluster**: Two-node active/standby Akka.NET cluster for management, UI, and coordination.
- **Site Clusters**: Two-node active/standby Akka.NET clusters at each remote site for data collection and local processing.
```
┌──────────────────────────┐
│ Central Cluster │
│ ┌──────┐ ┌──────┐ │
Users ──────────► │ │Node A│◄──►│Node B│ │
(HTTPS/LB) │ │Active│ │Stby │ │
│ └──┬───┘ └──┬───┘ │
└─────┼───────────┼────────┘
│ │
┌───────────┼───────────┼───────────┐
│ │ │ │
┌─────▼─────┐ ┌──▼──────┐ ┌──▼──────┐ ┌──▼──────┐
│ Site 01 │ │ Site 02 │ │ Site 03 │ │ Site N │
│ ┌──┐ ┌──┐ │ │ ┌──┐┌──┐│ │ ┌──┐┌──┐│ │ ┌──┐┌──┐│
│ │A │ │B │ │ │ │A ││B ││ │ │A ││B ││ │ │A ││B ││
│ └──┘ └──┘ │ │ └──┘└──┘│ │ └──┘└──┘│ │ └──┘└──┘│
└───────────┘ └─────────┘ └─────────┘ └─────────┘
```
## Central Cluster Setup
### Cluster Configuration
Both central nodes must be configured as seed nodes for each other:
**Node A** (`central-01.example.com`):
```json
{
"ScadaBridge": {
"Node": {
"Role": "Central",
"NodeHostname": "central-01.example.com",
"RemotingPort": 8081
},
"Cluster": {
"SeedNodes": [
"akka.tcp://scadabridge@central-01.example.com:8081",
"akka.tcp://scadabridge@central-02.example.com:8081"
]
}
}
}
```
**Node B** (`central-02.example.com`):
```json
{
"ScadaBridge": {
"Node": {
"Role": "Central",
"NodeHostname": "central-02.example.com",
"RemotingPort": 8081
},
"Cluster": {
"SeedNodes": [
"akka.tcp://scadabridge@central-01.example.com:8081",
"akka.tcp://scadabridge@central-02.example.com:8081"
]
}
}
}
```
### Cluster Behavior
- **Split-brain resolver**: Keep-oldest with `down-if-alone = on`, 15-second stable-after.
- **Minimum members**: `min-nr-of-members = 1` — a single node can form a cluster.
- **Failure detection**: 2-second heartbeat interval, 10-second threshold.
- **Total failover time**: ~25 seconds from node failure to singleton migration.
- **Singleton handover**: Uses CoordinatedShutdown for graceful migration.
### Shared State
Both central nodes share state through:
- **SQL Server**: All configuration, deployment records, templates, and audit logs.
- **JWT signing key**: Same `JwtSigningKey` in both nodes' configuration.
- **Data Protection keys**: Shared key ring (stored in SQL Server or shared file path).
### Load Balancer
A load balancer sits in front of both central nodes for the Blazor Server UI:
- Health check: `GET /health/ready`
- Protocol: HTTPS (TLS termination at LB or pass-through)
- Sticky sessions: Not required (JWT + shared Data Protection keys)
- If the active node fails, the LB routes to the standby (which becomes active after singleton migration).
## Site Cluster Setup
### Cluster Configuration
Each site has its own two-node cluster:
**Site Node A** (`site-01-a.example.com`):
```json
{
"ScadaBridge": {
"Node": {
"Role": "Site",
"NodeHostname": "site-01-a.example.com",
"SiteId": "plant-north",
"RemotingPort": 8081
},
"Cluster": {
"SeedNodes": [
"akka.tcp://scadabridge@site-01-a.example.com:8081",
"akka.tcp://scadabridge@site-01-b.example.com:8081"
]
}
}
}
```
### Site Cluster Behavior
- Same split-brain resolver as central (keep-oldest).
- Singleton actors: Site Deployment Manager migrates on failover.
- Staggered instance startup: 50ms delay between Instance Actor creation to prevent reconnection storms.
- SQLite persistence: Both nodes access the same SQLite files (or each has its own copy with async replication).
### Central-Site Communication
- Sites connect to central via Akka.NET remoting.
- The `Communication:CentralSeedNode` setting in the site config points to one of the central nodes.
- If that central node is down, the site's communication actor will retry until it connects to the active central node.
## Scaling Guidelines
### Target Scale
- 10 sites maximum per central cluster
- 500 machines (instances) total across all sites
- 75 tags per machine (37,500 total tag subscriptions)
### Resource Requirements
| Component | CPU | RAM | Disk | Notes |
|-----------|-----|-----|------|-------|
| Central node | 4 cores | 8 GB | 50 GB | SQL Server is separate |
| Site node | 2 cores | 4 GB | 20 GB | SQLite databases grow with S&F |
| SQL Server | 4 cores | 16 GB | 100 GB | Shared across central cluster |
### Network Bandwidth
- Health reports: ~1 KB per site per 30 seconds = negligible
- Tag value updates: Depends on data change rate; OPC UA subscription-based
- Deployment artifacts: One-time burst per deployment (varies by config size)
- Debug view streaming: ~500 bytes per attribute change per subscriber
## Dual-Node Failure Recovery
### Scenario: Both Nodes Down
1. **First node starts**: Forms a single-node cluster (`min-nr-of-members = 1`).
2. **Central**: Reconnects to SQL Server, reads deployment state, becomes operational.
3. **Site**: Opens SQLite databases, rebuilds Instance Actors from persisted configs, resumes S&F retries.
4. **Second node starts**: Joins the existing cluster as standby.
### Automatic Recovery
No manual intervention required for dual-node failure. The first node to start will:
- Form the cluster
- Take over all singletons
- Begin processing immediately
- Accept the second node when it joins