Normative first: Component-StoreAndForward.md:83 specified the whole chunked, ack-confirmed SfBufferSnapshotChunk resync protocol, which Phase 2 deleted. It is rewritten rather than removed — the failure modes it reasoned about still exist, they are just bounded differently — and it now states the duplicate-delivery bound explicitly: a message can be delivered twice only when the OLD primary delivered it and the status change had not yet replicated when the gate flipped. One flush interval plus the in-flight ack, and unlike the old model it does NOT grow with backlog depth or with how long a node was absent. The N1 directional-authority and N5 orphan-row hazards are recorded as structurally gone, not merely unguarded. Frame-size known-issue amended: its 2026-06-26 resolution replaced the intra-site hop with notify-and-fetch; Phase 2 then deleted notify-and-fetch itself, so the 128 KB Akka frame constraint no longer applies to that hop in any form. Successor ceiling recorded (4 MB gRPC cap via MaxBatchSize, which batches by ROW COUNT), including that the failure mode differs — an oversized gRPC message is rejected, not silently dropped. Deployment docs gain the two operational constraints that have no home in code: a site pair must be stopped and started TOGETHER (the SfBufferSnapshot compat handler that made a mixed-version pair converge went with the replicator, and a mixed pair now diverges silently), and a node offline beyond TombstoneRetention can resurrect deleted rows on rejoin. Both CLAUDE.md files corrected — each still said Phase 2 was NOT started. Definition of done closed: build 0 warnings, all 10 suites green (3509 tests, 0 failures, 0 skips). Two DoD items needed amending rather than ticking: the stale-symbol grep still matches 4 lines, all deliberate comment prose recording what was deleted (a literal zero would delete the explanations that stop the old design coming back), and the live gate has 10 evidence items, not the 9 the checklist claimed. Deletes the phase2 resume-state scratch doc, which said to delete it on landing. Claude-Session: https://claude.ai/code/session_01BL2Vu1ESDQ9SCN4gVKkdts
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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.
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flowchart TD
USERS["Users<br/>(HTTPS / LB)"]
subgraph CENTRAL["Central Cluster"]
NA["Node A<br/>Active"]
NB["Node B<br/>Standby"]
NA <--> NB
end
USERS --> NA
CENTRAL --> SITE01
CENTRAL --> SITE02
CENTRAL --> SITE03
CENTRAL --> SITEN
subgraph SITE01["Site 01"]
S01A["A<br/>Active"]
S01B["B<br/>Standby"]
end
subgraph SITE02["Site 02"]
S02A["A<br/>Active"]
S02B["B<br/>Standby"]
end
subgraph SITE03["Site 03"]
S03A["A<br/>Active"]
S03B["B<br/>Standby"]
end
subgraph SITEN["Site N"]
SNA["A<br/>Active"]
SNB["B<br/>Standby"]
end
classDef start fill:#d5e8d4,stroke:#82b366,color:#111111;
classDef proc fill:#dae8fc,stroke:#6c8ebf,color:#111111;
classDef dec fill:#fff2cc,stroke:#d6b656,color:#111111;
classDef warn fill:#ffe6cc,stroke:#d79b00,color:#111111;
classDef muted fill:#f5f5f5,stroke:#999999,color:#666666;
class USERS dec
class CENTRAL proc
class NA,S01A,S02A,S03A,SNA start
class NB,S01B,S02B,S03B,SNB muted
class SITE01,SITE02,SITE03,SITEN warn
Central Cluster Setup
Cluster Configuration
Both central nodes must be configured as seed nodes for each other:
Node A (central-01.example.com):
{
"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):
{
"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
JwtSigningKeyin 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):
{
"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: each node owns its own consolidated LocalDb database, kept in step by asynchronous CDC replication over a gRPC sync stream (LocalDb Phase 1 + 2). The nodes do NOT share a SQLite file.
Site Pair Upgrades — stop and start BOTH nodes together
A rolling upgrade of a site pair, one node at a time, is no longer supported. It worked while
the bespoke replicator kept a legacy SfBufferSnapshot compatibility handler so a new standby
could still apply an old active node's monolithic snapshot. LocalDb Phase 2 deleted that handler
along with the replicator, so a mixed-version pair has no common replication path: the two nodes
will run, but they will not converge, and the divergence is silent.
Stop both nodes of a site pair, upgrade both, then start both.
Related bound — do not leave one node of a pair offline for long. A node absent for longer than
LocalDb:Replication:TombstoneRetention (default 7 days) can resurrect deleted rows when
it rejoins: deletes replicate as HLC-ordered tombstones, and once a tombstone is pruned there is
nothing left to suppress the stale row the returning node still holds. Within the retention window
a rejoin is safe and self-correcting (verified live: a node stopped and restarted mid-load rejoined
with both nodes byte-identical and zero duplicates). Beyond it, rebuild the returning node's
database from its peer rather than letting it rejoin.
Central-Site Communication
- Sites connect to central via Akka.NET remoting.
- The
Communication:CentralSeedNodesetting 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
- First node starts: Forms a single-node cluster (
min-nr-of-members = 1). - Central: Reconnects to SQL Server, reads deployment state, becomes operational.
- Site: Opens SQLite databases, rebuilds Instance Actors from persisted configs, resumes S&F retries.
- 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