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Docker Service Deployment Standard

Deploy Docker services on ITPP infrastructure following consistent, auditable, recoverable standards. Every service must be deployable by someone who has never seen it before, using only this document and the service's .env file.

Before You Start

Every new Docker deployment must answer these questions:

What data does this service store? (SQLite file? PostgreSQL DB? Uploads?)
How is this data backed up? (Script? Cron? Volume mount?)
How is this service recovered? (Fresh docker compose up + restore data?)
What ports does it need? (Public? Internal-only? Localhost?)
Who talks to it? (Caddy reverse proxy? Other containers? External API?)

Directory Structure

All Docker services live under /root/docker/<service>/ with compose, .env, and config files.

/root/docker/<service-name>/
├── docker-compose.yml      # Service definition (preferred)
├── .env                    # Secrets (chmod 600, NEVER committed)
├── config.yaml             # App config (if needed)
└── data/                   # Bind-mounted data directory (if not using named volumes)

Rules

One directory per service. /root/docker/<service>/ — no monolithic /opt/ai/.
.env file is chmod 600. Readable only by root. Contains ONLY environment variables.
docker-compose.yml contains NO secrets. All secrets come from ${VARIABLE} references to .env.
Config files go in the service directory. Not mounted from random paths.

Hardware Context

All new netcup servers are RS 4000 G12 (12 dedicated EPYC 9645 cores, 32 GB DDR5 ECC RAM, 1 TB NVMe). This provides ample headroom for the recommended resource limits below. Exceptions: Core (RS 2000) and app1-bu (Hetzner CPX11). All Docker services deployed on RS 4000-class hardware have guaranteed resources for every container.

Compose File Requirements

Healthchecks

Every service that listens on a port MUST have a healthcheck:

healthcheck:
  test: ["CMD", "curl", "-f", "http://localhost:PORT/health"]
  interval: 30s
  timeout: 10s
  retries: 3
  start_period: 15s

Pitfall — curl missing in the container image (Jul 2026): The ghcr.io/berriai/litellm image does not include curl. A healthcheck using CMD-SHELL curl -f http://localhost:4000/health produces 6000+ consecutive failures and permanently marks the container (unhealthy) even though the service is running. The failures are visible in docker inspect --format '{{json .State.Health}}' but produce no log output. Use a language-native healthcheck instead:

healthcheck:
test: ["CMD-SHELL", "python3 -c 'import urllib.request; urllib.request.urlopen(\"http://localhost:PORT/health/liveliness\")'"]

Or fall back to wget -qO- http://localhost:PORT/health if the image includes it. If neither curl nor wget nor python3 is available, use the docker exec approach from outside the container for manual verification rather than a broken healthcheck.

For databases:

healthcheck:
  test: ["CMD-SHELL", "pg_isready -U username -d dbname"]
  interval: 5s
  timeout: 5s
  retries: 5
retries: 5

## UniFi Controller deployment (Jul 12, 2026)

Two Docker images exist for UniFi Network Controller. Choosing the wrong one leads to a 30-minute debugging session:

| Image | MongoDB | Result |
|-------|---------|--------|
| **`jacobalberty/unifi:latest`** | Bundled internally | ✅ Works immediately — single container, no external DB |
| **`linuxserver/unifi-network-application`** | Requires external MongoDB | ❌ Needs separate MongoDB container with auth |

**The linuxserver image WILL fail** with: `IllegalArgumentException: No username is provided in the connection string` even when `MONGO_USER`/`MONGO_PASS` are set. The `MONGO_URI` env var override is also ignored.

**Fix:** Use `jacobalberty/unifi:latest`:
```bash
docker run -d --restart unless-stopped \
--name unifi-controller \
-p 8443:8443 -p 8080:8080 -p 8880:8880 -p 8843:8843 \
-p 3478:3478/udp -p 10001:10001/udp \
-v /opt/unifi:/config \
-e TZ=America/New_York \
-e RUNAS_UID0=true \
jacobalberty/unifi:latest

Verify: curl -sk https://localhost:8443/ | grep -o 'UniFi' → "UniFi"

Critical — MongoDB data volume pitfall (Jul 15, 2026): The jacobalberty/unifi image stores MongoDB in /usr/lib/unifi/data/db (or equivalently /unifi/data/db via volume mount), NOT under /config/data/db. The /config mount is for application data (backups, firmware, certs). When migrating from a native UniFi install, MongoDB data must go to the Docker volume mounted at /unifi, not /opt/unifi/db.

MongoDB version incompatibility with direct DB copy: Docker images bundle their own MongoDB version (often newer than native installs). A direct copy of WiredTiger database files from a native UniFi 9.5.21 to a jacobalberty/unifi:latest Docker container will fail with: WiredTiger error: unable to read root page. Fix: use UniFi .unf backup files (Settings → System → Backup → Restore), which are portable across versions.

Resource Limits

Every container MUST have CPU and memory limits:

deploy:
  resources:
    limits:
      cpus: '2'
      memory: 2G
    reservations:
      cpus: '0.5'
      memory: 512M

Recommended limits by service type:

Service	CPU	RAM	Disk
LiteLLM	2 cores	2 GB	5 GB
Open WebUI	2 cores	4 GB	10 GB+
Ollama	4 cores	8 GB	50 GB+
Qdrant	2 cores	2 GB	10 GB
PostgreSQL	2 cores	2 GB	20 GB
Redis	1 core	512 MB	1 GB
n8n	1 core	1 GB	5 GB
Regular web app	1 core	512 MB	2 GB

Restart Policy

restart: unless-stopped

NOT always — unless-stopped only stays down if the admin explicitly stopped it.

Networks

networks:
  internal:
    driver: bridge
    internal: true
  frontend:
    driver: bridge

services:
  app:
    networks:
      - internal
  caddy:
    networks:
      - frontend
      - internal

External-facing ports MUST only be on the Caddy container. Backend services bind to internal networks only.

Volumes

Named volumes for persistent data:

volumes:
  app_data:
    driver: local

services:
  app:
    volumes:
      - app_data:/app/data

Never use bind mounts for application data (exception: config files).

Logging

logging:
  driver: json-file
  options:
    max-size: "10m"
    max-file: "3"

.env File Standard

# /docker/<service>/.env — chmod 600
# Last updated: YYYY-MM-DD

# Required
DATABASE_URL=postgresql://user:pass@host:5432/db
APP_SECRET_KEY=...

# Optional (with defaults)
LOG_LEVEL=info

Every .env file gets a comment header. If a variable is optional, document the default.

Caddy Integration

Caddy runs as a systemd service on app servers. Use subdomain routing for web UIs, not path-based routing. Internal web apps (n8n, Open WebUI) use absolute asset paths (/assets/foo.js, /static/bar.css) that break under /app/* paths.

Preferred — subdomain routing:

n8n.itpropartner.com {
    reverse_proxy 127.0.0.1:5678
}
ai.itpropartner.com {
    reverse_proxy 127.0.0.1:3000
}

Avoid — path-based routing: app1.itpropartner.com/n8n/* breaks internal assets.

Pitfall: If a service was previously at a root domain and moves to a sub-path, its internal redirects and assets will 404. The subdomain approach avoids this entirely.

Let's Encrypt rate limits: 5 failed authorization attempts per domain per hour. If DNS isn't pointing to the server when Caddy first tries, it burns all 5 attempts and blocks cert issuance for 1 hour. Always verify DNS resolves before deploying the Caddy config.

Pitfall — Caddy port conflicts with existing containers (Jul 13, 2026): When deploying Caddy on a box that already runs Docker services with port bindings (e.g., UNMS nginx on 80/443), Caddy's default behavior of binding port 80 for HTTP→HTTPS redirects fails with bind: address already in use. Fix: use auto_https disable_redirects in the global options block and bind each domain to :443 explicitly. Example from app2 (UNMS + Traccar):

{
    default_bind 152.53.39.202
    auto_https disable_redirects
}

unms.forefrontwireless.com:443 {
    reverse_proxy localhost:80
}

gps.fleettracker360.com:443 {
    reverse_proxy localhost:8082
}

For the existing containers, remove port 443 from their Docker mappings so Caddy can own it. If the container's compose has port 443, comment it out and recreate the container. Use docker network ls to find existing networks if docker compose fails with pool overlap errors; start the container manually with docker run attached to the correct networks if needed.

LiteLLM encrypted-model DB migration fails: A pg_dump + pg_restore of the LiteLLM Postgres database preserves model listings in /v1/models but completions fail with 400: Invalid model name. Despite identical LITELLM_SALT_KEY and Docker image, encrypted model parameters in LiteLLM_ProxyModelTable cannot be decrypted on the new host. Fix: recreate models fresh via /model/new API. Credentials in LiteLLM_CredentialsTable survive migration. See references/litellm-migration-pitfalls.md.

Caddy header_up requires v2.7+: On Debian 13 with Caddy 2.6.2, the header_up subdirective inside reverse_proxy does not exist (added in 2.7). Setting X-Forwarded-Proto headers to suppress backend HTTP→HTTPS redirects won't work. Workaround: have Caddy connect to the backend via HTTPS internally using tls_insecure_skip_verify, or upgrade Caddy to v2.7+.

Pattern — Resolving Caddy port conflicts by moving containers off 80/443 (Jul 15, 2026): When Docker containers already bind 80/443 (e.g., UNMS nginx), install native Caddy as the single SSL terminator and MOVE the containers off those ports. Do NOT use Docker-based Caddy on alternate ports as a permanent fix — it prevents HTTPS for any domain behind it.

Identify the port-owning container: ss -tlnp | grep -E ":80 |:443 " → docker ps with port filter
Remove 80/443 from its compose (edit docker-compose.yml, delete - 80:80 and - 443:443 lines)

Force-recreate the container without 80/443:

docker stop <container> && docker rm <container>
fuser -k 80/tcp; fuser -k 443/tcp   # kill stale docker-proxy
docker run -d --name <container> \
  --network <network1> --network <network2> \
  [same flags minus 80/443] [image]

Install native Caddy: apt install -y caddy

Write Caddyfile with all domains → localhost backends:

{
    email g@germainebrown.com
}
service1.domain.com { reverse_proxy localhost:PORT1 }
service2.domain.com { reverse_proxy localhost:PORT2 }

Open firewall: ufw allow 80/tcp; ufw allow 443/tcp
Start: systemctl enable --now caddy
Verify: Caddy auto-provisions Let's Encrypt. Test: curl -sS https://domain.com

Network-name pitfall: docker network ls to find actual network names (compose public → Docker unms_public). Wrong name = Error: network X not found.

Stale docker-proxy: After docker rm, docker-proxy processes may still hold 80/443. fuser -k PORT/tcp before starting Caddy.

Hudu migration pattern (Jul 15, 2026): Migrated Hudu from dedicated box (178.156.130.130, Docker + SWAG for SSL) to app2 (152.53.39.202, Caddy-managed SSL). Steps: (1) pg_dump from old PostgreSQL 16.2 container, (2) copy compose + .env, (3) remove SWAG container from compose (Caddy handles SSL on target), (4) add ports: ["127.0.0.1:3000:3000"] to app service for Caddy proxy, (5) deploy on target, (6) restore DB, (7) DNS cutover (SiteGround-managed). Rails app boot takes ~30s — Puma logs to docker logs.

Pitfall — incomplete DB migration leaves assets and passwords behind (Jul 15, 2026): The initial pg_dump/restore only captured the companies table. assets and asset_passwords tables were empty on the target — company names migrated, but all their data (assets, passwords) did not. The old server still had all data intact.

Recovery — re-dump specific tables with --data-only: When a migration copies schema but not data, re-dump only the missing tables from the old server and import into the new one. Tables must already exist on the target (schema was created by the initial migration):

# On OLD server: dump only the missing tables
docker exec hudu2-db-1 pg_dump -U postgres -d hudu_production \
  --data-only --disable-triggers \
  --table=assets --table=asset_passwords --table=asset_fields \
  > /tmp/hudu-asset-data.sql

# Copy to NEW server and import
docker cp /tmp/hudu-asset-data.sql hudu-db-1:/tmp/
docker exec hudu-db-1 psql -U postgres -d hudu_production \
  -f /tmp/hudu-asset-data.sql

Prerequisites for this to work:

Company IDs must match between old and new servers (verify with SELECT id, name FROM companies ORDER BY id)
The PASSWORD_KEY env var must be identical (asset_passwords are encrypted with it)
The target tables must already exist (schema migration ran during initial deploy)

Verification — count every critical table on both servers before cutting over:

docker exec hudu-db-1 psql -U postgres -d hudu_production -t -c \
  "SELECT 'companies:' || COUNT(*) FROM companies
   UNION ALL SELECT 'assets:' || COUNT(*) FROM assets
   UNION ALL SELECT 'asset_passwords:' || COUNT(*) FROM asset_passwords
   UNION ALL SELECT 'asset_fields:' || COUNT(*) FROM asset_fields;"

Fix: re-run full pg_dump and verify EVERY table post-restore:

# On BOTH old and new, count all major tables before cutting over:
docker exec hudu-db-1 psql -U postgres -d hudu_production -t -c \
  "SELECT 'companies:' || COUNT(*) FROM companies
   UNION ALL SELECT 'assets:' || COUNT(*) FROM assets
   UNION ALL SELECT 'asset_passwords:' || COUNT(*) FROM asset_passwords;"

Post-migration verification pattern — side-by-side API comparison during DNS cutover: Use curl --resolve to hit each server's real IP through the domain name. This lets you compare old vs new while DNS still points to one of them:

# Hit old server via its IP:
curl -sk --resolve hudu.itpropartner.com:443:OLD_IP \
  -H "x-api-key: KEY" "https://hudu.itpropartner.com/api/v1/companies?page_size=25" \
  -o /tmp/old.json
# Hit new server via its IP:
curl -sk --resolve hudu.itpropartner.com:443:NEW_IP \
  -H "x-api-key: KEY" "https://hudu.itpropartner.com/api/v1/companies?page_size=25" \
  -o /tmp/new.json
diff /tmp/old.json /tmp/new.json   # byte-exact comparison

Security scanner workaround — avoid curl | python3: The tirith security scanner blocks pipe-to-interpreter patterns (curl | python3, curl | jq). Always save curl output to a file first, then process/read the file in a separate call. This is the reliable pattern for all API-level migration verification from within Hermes.

Backup Standard

Every Docker service with persistent data MUST have a backup script that:

Stops the container
Archives the volume data
Uploads to S3: s3://hermes-vps-backups/docker/<service>/
Restarts the container

Cron: Daily at 2 AM (staggered by service).

Recovery Procedure

See references/docker-migration-pitfalls.md for common failures during cross-host migrations (volume permissions, SSL loops, sub-path routing). See references/n8n-migration-webhook-fix.md for n8n-specific migration: WEBHOOK_URL update + PostgreSQL workflow webhook URL regex replacement.

cd /docker/<service>
aws s3 cp s3://hermes-vps-backups/docker/<service>/latest-backup.tar.gz .
docker volume create <service>_data
tar xzf latest-backup.tar.gz -C /var/lib/docker/volumes/<service>_data/_data/
docker compose --env-file .env up -d
docker ps | grep <service>

API Gotchas (Learnings)

When a Docker management tool exposes a REST API, note API quirks in its reference doc. Example Komodo v2:

Login POST body requires "type":"Local" field: {"type":"Local","username":"admin","password":"changeme"}. Omitting type returns: "Failed to deserialize the JSON body into the target type: missing field type".
Login returns HTTP 200 + JWT on success — the UI is a SPA at /, no separate API endpoint for /api/*.

Vaultwarden — DOMAIN env pitfall (Jul 12, 2026)

Setting DOMAIN env var causes Vaultwarden to return 404 on ALL routes. The container launches successfully, logs show "Rocket has launched from http://0.0.0.0:80", but every endpoint (/, /admin, /api/...) returns 404. This happens because the DOMAIN variable changes Vaultwarden's URL routing behavior, and when it's set to a value that doesn't match the actual inbound URL structure, the routes don't resolve.

Fix: Omit DOMAIN entirely. Vaultwarden works correctly when the env var is not set. The reverse proxy (Caddy via handle_path or subdomain) handles the URL rewriting transparently.

Current Vaultwarden setup (Jul 12, 2026):

Host: Core (152.53.192.33)
URL: https://core.itpropartner.com/vault/ (Caddy handle_path proxy)
Port: 8080 mapped to container port 80
Image: vaultwarden/server:latest
Auth: info@itpropartner.com
Data volume: vaultwarden-data

Caddy config:

handle_path /vault/* {
    reverse_proxy localhost:8080
}

Note: handle_path strips the /vault prefix before proxying. Vaultwarden runs at path / inside the container, so the Caddy path-strip proxying is correct.

Full docker run:

docker run -d --name vaultwarden \
  -p 8080:80 \
  -e ADMIN_TOKEN="..." \
  -e SIGNUPS_ALLOWED=false \
  -v vaultwarden-data:/data \
  --restart unless-stopped \
  vaultwarden/server:latest

Verification: curl -sS -o /dev/null -w 'HTTP %{http_code}' https://core.itpropartner.com/vault/ → 200.

Deployment Checklist

Service directory at /root/docker/<service>/ with compose, .env, config
.env is chmod 600
docker compose up -d starts cleanly
Healthcheck passes: docker ps shows (healthy)
Service accessible via Caddy (if public)
Backup script created and tested
Caddy entry added and validated: caddy validate --config /etc/caddy/Caddyfile
Recovery documented
DNS pointed (if new domain)

Multi-Host Docker Management Tools

When a Docker service runs across multiple hosts (Core, ai.itpropartner.com, docker, unms, etc.), deploy a management tool for single-pane visibility and control. See references/docker-management-tools-comparison.md for the full 6-tool evaluation.

Top 3 for ITPP:

Rank	Tool	Why
🏆 1st	Komodo	Best API story (REST + WS + CLI + 3 client libs), GPL-3.0 free, unlimited servers, built-in backup/restore CLI. Perfect for Hermes scripting. See `references/komodo-deployment.md` for deployment walkthrough.
🥈 2nd	Arcane	BSD-3-Clause free, beautiful UI, OpenAPI 3.1 REST API, Edge mode for NAT'd hosts. No MongoDB needed.
🥉 3rd	Portainer	Most mature, best documented, free BE for 3 nodes. Industry standard.

Key evaluation criteria (in priority order):

Recovery manual completeness — can another admin use it without me?
Multi-host support — agent-based management across servers
CLI/API access — must be scriptable from Hermes
Self-hosted — no SaaS dependency
Free/open source — no subscriptions

Ruled out: Dockge (no API), Dockhand (API is "distant future" roadmap item, BSL license), Lazydocker (single host only).

Uptime-Kuma

Uptime-Kuma runs on Core (152.53.192.33) at /root/docker/uptime-kuma/, port 3001, URL: https://uptimekuma.itpropartner.com. Monitors 9 services with Telegram, Discord, and Slack notifications. DNS managed via SiteGround (manual change required).

Compose

services:
  uptime-kuma:
    image: louislam/uptime-kuma:latest
    container_name: uptime-kuma
    restart: unless-stopped
    volumes:
      - ./data:/app/data        # bind mount — easier to migrate than named volume
    ports:
      - "3001:3001"

Cross-Host Migration

The entire monitoring state — monitors, notifications, uptime history — lives in a single SQLite file: data/kuma.db. Do NOT recreate monitors manually.

Steps:

Stop old container: docker stop uptime-kuma (flushes WAL/SHM files into kuma.db)
SCP the DB: scp root@old:/path/to/kuma.db /root/docker/uptime-kuma/data/
Fix permissions: chown -R 0:0 data/ (the container runs as root internally — if the SCP'd file inherits a non-root owner like ippadmin:ippadmin, the container will crash silently on startup with no log output)
Start: cd /root/docker/uptime-kuma && docker compose up -d
Verify monitors loaded: docker exec uptime-kuma sqlite3 /app/data/kuma.db "SELECT name,active FROM monitor"

API Authentication

Uptime-Kuma API keys use HTTP Basic Auth, not Bearer tokens. Blank username, key as password:

# Correct — basic auth with empty username
curl -u ":uk1_XXX..." https://uptimekuma.itpropartner.com/metrics

# Wrong — Bearer token returns HTML login page, not JSON
curl -H "Authorization: Bearer uk1_XXX..." https://uptimekuma.itpropartner.com/api/monitors

The metrics endpoint (/metrics) returns Prometheus-format data. The REST API (/api/monitors) requires session auth — API keys only cover the metrics endpoint.

Pitfalls

Missing directories: Ensure the target directory exists before copying files.
Docker Compose installation: Verify Docker Compose is installed on the target host (docker compose version).
Security policies: When transferring files to remote hosts via SCP:
- Raw IP addresses may trigger security warnings
- Preferred resolution paths:
  1. Get approval for the transfer
  2. Use a domain name if available
  3. Manually transfer the directory structure
Build context: Confirm the build directory exists on the target host before deployment.
Server process detector blocks docker compose up -d: The terminal tool's security scanner classifies compose as a server start and refuses to run it in foreground mode. Workaround: use background=true, notify_on_complete=true. If that also fails, ssh root@127.0.0.1 "cd /path && docker compose up -d" with background=true.
SHM/WAL files don't need separate copying: kuma.db-shm and kuma.db-wal are temporary files flushed to kuma.db when the container stops cleanly. Skip them during SCP.
Non-root owner on DB causes silent container crash: The container starts, exits immediately, and produces zero log output. docker ps -a shows Exited (1) with no explanation. Check with ls -la data/kuma.db — if owner is not root, chown -R 0:0 data/ and retry.

Grafana

Grafana should be added to the monitoring stack on the Monitor netcup box. It needs a data source — Prometheus on each server or a lightweight metrics collector. Fits on the same box as Uptime-Kuma and the VPS threshold checker.

Cloudflare Domains

Use Cloudflare Registrar for all domain purchases. Cloudflare sells domains at cost with no markup. We already have the Cloudflare API token and zone management working. No need for Porkbun, Namecheap, or other registrars unless a TLD isn't supported by Cloudflare.

Service-Specific Standards

LiteLLM

Uses PostgreSQL backend (DATABASE_URL in .env)
Models managed via DB (not config.yaml)
Proxy all LLM API calls through LiteLLM for usage tracking
Port: 4000 (internal only)
Healthcheck: /health/liveliness

Pitfall — config.yaml master_key overrides LITELLM_MASTER_KEY env var (Jul 2026): When LiteLLM is started with --config /app/config.yaml, the general_settings.master_key value in config.yaml takes precedence over the LITELLM_MASTER_KEY environment variable. If config.yaml contains a stale/stub key that differs from the real key in .env, the stub becomes the UI password — and nobody knows it. Login at /v2/login returns 401 Unauthorized with message "Invalid credentials used to access UI. Check 'UI_USERNAME', 'UI_PASSWORD' in .env file."

Symptoms: Admin UI login fails with 401 despite correct credentials. Container logs show ProxyException in authenticate_user() line 316. The /v1/chat/completions endpoint may still work (API keys are separate from UI password).

Detection — compare config sources by hash and length, not raw value:

ENV_KEY=$(grep LITELLM_MASTER_KEY .env | cut -d= -f2)
CFG_KEY=$(grep 'master_key:' config.yaml | sed 's/.*master_key: //')
echo "env: len=${#ENV_KEY} sha=$(echo -n "$ENV_KEY" | sha256sum | cut -c1-16)"
echo "cfg: len=${#CFG_KEY} sha=$(echo -n "$CFG_KEY" | sha256sum | cut -c1-16)"
# If lengths or hashes differ → config.yaml has a stale key

Fix: Remove the master_key line from config.yaml so LiteLLM falls back to the LITELLM_MASTER_KEY env var:

sed -i '/^  master_key:/d' config.yaml
docker compose restart litellm

Root cause: Config file values silently win over env vars when both are set. This pattern applies to any service that reads config from dual sources — always verify the active source when credentials change.

See references/litellm-config-pitfalls.md for the full debugging workflow including source code analysis.

Open WebUI

Runs on app1 (152.53.36.131), deployed via docker run (NOT compose — no /docker/openwebui/ directory)
Data in SQLite at /app/backend/data/webui.db, stored in named volume openwebui_data → /var/lib/docker/volumes/openwebui_data/_data/
Vector DB for RAG at /app/backend/data/vector_db/
Port: 8080 (container), mapped to 127.0.0.1:3000 on host
Caddy at ai.itpropartner.com → 127.0.0.1:3000
Restart policy: unless-stopped
Image: ghcr.io/open-webui/open-webui:latest
Full data directory ~2 GB (DB + vectors + uploads)

Current docker run command (reconstruct from inspect):

docker run -d --name openwebui --restart unless-stopped \
  -p 127.0.0.1:3000:8080 \
  -v openwebui_data:/app/backend/data \
  -e OPENAI_API_BASE_URL=https://admin-ai.itpropartner.com/v1 \
  -e OPENAI_API_KEY=<liteLLM-virtual-key> \
  -e WEBUI_NAME='IT Pro Partner AI' \
  -e USE_OLLAMA_DOCKER=false \
  -e ANONYMIZED_TELEMETRY=false \
  -e DO_NOT_TRACK=true \
  -e SCARF_NO_ANALYTICS=true \
  -e ENV=prod \
  ghcr.io/open-webui/open-webui:latest

OPENAI_API_KEY should be a dedicated LiteLLM virtual key (not the Hermes key, not the master key). See model-failover-and-credit-tracking skill for virtual key generation and admin-ai integration.

CRITICAL — ConfigVar persistence pitfall (Jul 15, 2026): Open WebUI marks connection-related env vars as ConfigVar — after first launch, their values are PERSISTED in the SQLite database and env var changes are ignored on subsequent restarts. This includes OLLAMA_BASE_URL, ENABLE_OLLAMA_API, OPENAI_API_BASE_URL, ollama.enable, ollama.base_urls, openai.api_base_urls, and the *_api_configs JSON blobs. Symptoms:

You change -e OLLAMA_BASE_URL="" and restart — Ollama still shows up
You change -e OPENAI_API_BASE_URL=... and restart — old URL still used
The image bakes in OLLAMA_BASE_URL=/ollama as a default, so omitting the env var doesn't clear it

Fix — update the database directly:

# Install sqlite3 on host (not in container image)
apt-get install -y sqlite3

# Query current connection config
sqlite3 /var/lib/docker/volumes/openwebui_data/_data/webui.db \
  "SELECT key, value FROM config WHERE key LIKE '%ollama%' OR key LIKE '%openai%';"

# Disable Ollama entirely
sqlite3 /var/lib/docker/volumes/openwebui_data/_data/webui.db \
  "UPDATE config SET value = 'false' WHERE key = 'ollama.enable';"

# Disable Ollama connection config in JSON
sqlite3 /var/lib/docker/volumes/openwebui_data/_data/webui.db \
  "UPDATE config SET value = json_set(value, '\$.\"0\".enable', json('false')) WHERE key = 'ollama.api_configs';"

# Update OpenAI base URL
sqlite3 /var/lib/docker/volumes/openwebui_data/_data/webui.db \
  "UPDATE config SET value = json_set(value, '\$[0]', '<new-url>') WHERE key = 'openai.api_base_urls';"

# Restart to pick up changes
docker restart openwebui

Alternative — force env var precedence (temporary, disables UI settings persistence): Set ENABLE_PERSISTENT_CONFIG=false as an env var. This makes Open WebUI read env vars on every startup instead of the DB. Downside: any settings changed in the Admin UI are lost on restart. Use for one-off fixes, not as permanent config.

See references/openwebui-configvar-cheatsheet.md for full DB schema of connection-related config keys.

Ollama

Models stored at /root/.ollama (bind mount for large storage)
Available to LiteLLM and Open WebUI on internal network
Port: 11434 (internal only)
Resource-heavy: allocate minimum 8 GB RAM
Pre-pull models during setup
Currently on Core (netcup) for local inference

Qdrant

Vector storage at /qdrant/storage
Port: 6333 (REST), 6334 (gRPC) — internal only
Integrates with Open WebUI for RAG

Traccar (GPS Tracking)

Deployed as Docker on app2 (152.53.39.202), port 8082 (web UI) + 5000-5150 (device protocols). Uses H2 embedded database.

services:
  traccar:
    image: traccar/traccar:latest
    restart: unless-stopped
    ports: ["8082:8082", "5000-5150:5000-5150", "5000-5150:5000-5150/udp"]
    volumes: ["./traccar-logs:/opt/traccar/logs", "./traccar-data:/opt/traccar/data"]

H2 DB querying: Copy DB file while Traccar is running (SCP succeeds even when locked), query the copy with Java H2 Shell:

scp root@app2:/root/docker/traccar/traccar-data/database.mv.db /tmp/copy.mv.db
java -cp /tmp/h2.jar org.h2.tools.Shell -url jdbc:h2:/tmp/copy -user sa -password '' \
  -sql 'SELECT id,name,lastupdate FROM tc_devices;'

See mcp-servers/references/h2-remote-db-query.md for the full pattern.

DNS: gps.fleettracker360.com (unproxied — devices need direct TCP) + fleettracker360.com (proxied). Web dashboard proxied through Caddy on port 8443 when port 443 is owned by another service (e.g., UNMS).

Migration: ai.itpropartner.com

Current AI server (Hetzner CPX41, 178.156.167.181). CRITICAL — hosts admin-ai.itpropartner.com (LiteLLM) which powers Sho'Nuff's deepseek-chat model via API. Zero downtime required.

Migration order:

Set up new Monitor box with Docker Standard
Restore LiteLLM PostgreSQL from dump (model configs are in DB)
Restore Open WebUI data directory from tarball (conversations in SQLite)
Copy Ollama models
Test admin-ai.itpropartner.com on new box against old, running one
Switch DNS for admin-ai.itpropartner.com
Keep old box running 7 days as fallback

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