Add comprehensive documentation for Linear Void project
- Created README.md in docs folder outlining project structure and documentation links. - Added SECURITY.md detailing the security model, threat model, authentication, transport security, network isolation, and incident response procedures. - Introduced SETUP.md providing a detailed setup guide for local and production environments, including prerequisites, environment setup, and Gitea integration. - Added STREAMING.md outlining the streaming pipeline, including production flow, source-media contract, playout and HLS packaging, cache contract, player behavior, and monitoring. - Updated architecture documentation to include links to new SETUP.md and STREAMING.md files for better navigation.
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# Monitoring Guide
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Prometheus + Grafana monitoring for Linear Void.
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## Architecture
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```text
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┌──────────────┐ ┌──────────────┐ ┌───────────┐
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│ Exporters │───> │ Prometheus │───>│ Grafana │
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│ (7 targets) │ │ :9090 │ │ :3001 │
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└──────────────┘ └───────┬──────┘ └───────────┘
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│
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alerts.yml (8 rules)
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```
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## Scrape Targets
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| Job | Target | Port | Metrics |
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| ---------- | ----------------- | ---- | ------------------------------------------------------------- |
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| chat | chat | 3000 | WebSocket clients, messages, DMs, moderation, Redis, sessions |
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| playout | playout | 8081 | Restarts, mode (live/slate) |
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| nginx | nginx-exporter | 9113 | Requests, connections |
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| redis | redis-exporter | 9121 | Memory, clients, commands |
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| postgres | postgres-exporter | 9187 | Connections, queries, locks |
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| node | node-exporter | 9100 | CPU, memory, disk, network |
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| prometheus | prometheus | 9090 | Self-monitoring |
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Config: `monitoring/prometheus/prometheus.yml` (15s scrape interval)
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## Alerting Rules
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8 rules in `monitoring/prometheus/alerts.yml`:
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| Alert | Severity | Expression |
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| -------------------- | -------- | -------------------------------------- |
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| ChatDown | critical | `up{job="chat"} == 0` for 2m |
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| PlayoutDown | critical | `up{job="playout"} == 0` for 2m |
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| RedisDown | warning | `linearvoid_chat_redis_up == 0` for 2m |
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| PlayoutSlateActive | warning | `linearvoid_playout_mode == 1` for 1m |
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| HighChatLatency | warning | message rate <0.01/s for 5m |
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| PrometheusWALFailing | warning | WAL write failures >0 for 5m |
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| HighCPU | warning | CPU >80% for 10m |
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| LowDiskSpace | warning | Disk <10% free for 5m |
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## Access
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- Prometheus: `http://<host>:9090` (targets, graph, alerts)
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- Grafana: `http://<host>:3001` (default: admin/admin, change via `GRAFANA_PASSWORD`)
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## Dashboards
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- **Linear Void app**: `monitoring/grafana/dashboard.json` — clients, messages, moderation, Redis, sessions, scrape health
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- **Prometheus ops**: `monitoring/grafana/dashboards/dashboard.json` — TSDB, CPU/memory, WAL, compactions, query latency
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## Key Metrics
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- `linearvoid_chat_connected_clients` — active WebSocket connections
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- `linearvoid_chat_messages_total` — total stored messages
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- `linearvoid_chat_dms_total` — private messages sent
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- `linearvoid_chat_redis_up` — Redis reachable (0/1)
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- `linearvoid_playout_restarts_total` — FFmpeg restart counter
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- `linearvoid_playout_mode` — 0=live, 1=slate, 2=degraded
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- `linearvoid_chat_admin_sessions_active` — active admin logins
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## Troubleshooting
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| Symptom | Check |
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| ----------------------- | -------------------------------------------------------------------- |
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| No chat metrics | `curl http://chat:3000/metrics` from Prometheus container |
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| No exporter metrics | Verify exporter containers running: `docker ps \| grep exporter` |
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| Grafana no data | Datasource URL must be `http://prometheus:9090` |
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| Prometheus targets down | Check container network: all must be on `linearvoid-net` |
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| Alert not firing | Check Prometheus → Alerts tab, verify `rule_files` in prometheus.yml |
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### Grafana shows no data
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- Ensure datasource points to <http://prometheus:9090>.
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- Confirm Prometheus is healthy.
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- Check dashboard query labels match active jobs.
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### High cardinality or query slowness
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- Reduce unneeded labels.
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- Limit expensive dashboard panels.
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- Tune retention and query windows.
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## Operational Recommendations
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- Keep alert thresholds tied to actual user impact.
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- Review dashboards after each release that changes endpoints or metrics names.
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- Periodically test alert routing and incident response flow.
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