jpmschweitzerandClaude Opus 4.5
765818b4e9
- Add paperless.yml stack (port 8091, documents.schweitz.net) - Uses shared postgres (DB: paperless) and redis (DB 8) - ClamAV installed on host for virus scanning (port 3310) - Add Paperless integration to library-desk stack - Update CONTAINERS.md with Paperless and ClamAV profiles - Add Portainer and NPM API documentation to setup-new-host.md - Update redis-shared.yml and postgres-shared.yml with Paperless refs 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
160 lines
4.1 KiB
YAML
160 lines
4.1 KiB
YAML
version: '3.8'
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# Shared Redis Cache
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# Purpose: Centralized cache and session store for all homelab applications
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# Port: 6379
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# GPU: No
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# Storage: SSD (Redis persistence - AOF and RDB)
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services:
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redis-shared:
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image: redis:alpine
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container_name: redis-shared
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restart: unless-stopped
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command: >
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redis-server
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--appendonly yes
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--appendfsync everysec
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--maxmemory 512mb
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--maxmemory-policy allkeys-lru
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--save 60 1000
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--save 300 100
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--save 900 1
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--loglevel warning
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healthcheck:
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test: ["CMD-SHELL", "redis-cli ping | grep PONG"]
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start_period: 20s
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interval: 30s
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retries: 5
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timeout: 3s
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ports:
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- "6379:6379"
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volumes:
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- /home/jpmschweitzer/docker-data/redis-shared/data:/data
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environment:
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TZ: Europe/Amsterdam
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deploy:
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resources:
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limits:
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cpus: '0.5'
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memory: 512M
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reservations:
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memory: 128M
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networks:
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- docker-dataplane
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networks:
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docker-dataplane:
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external: true
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name: docker-dataplane
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# Setup Instructions:
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#
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# 1. Create directories:
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# mkdir -p ~/docker-data/redis-shared/data
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#
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# 2. Deploy stack:
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# docker-compose -f redis-shared.yml up -d
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#
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# 3. Verify deployment:
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# docker exec redis-shared redis-cli ping
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#
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# Database Allocation:
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#
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# Redis supports 16 databases (0-15). Assign one per application:
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#
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# DB 0: Authentik (sessions, cache, message queue)
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# DB 1: Tatlock (memory)
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# DB 2: Wiki.js
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# DB 3: Scheduler
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# DB 4: Library Desk
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# DB 5: SearXNG
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# DB 6: Tatlock (benchmarks)
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# DB 7: Nextcloud (file locking, distributed cache, sessions)
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# DB 8: Paperless (task queue, cache)
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# DB 9-15: Reserved for future applications
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#
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# Connection Examples:
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#
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# From containers on docker-dataplane network:
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# redis://redis-shared:6379/1 (Authentik, DB 1)
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# redis://redis-shared:6379/2 (Gitea, DB 2)
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#
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# From host machine:
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# redis-cli -h localhost
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# SELECT 1 (switch to database 1)
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#
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# Monitoring:
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#
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# General info:
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# docker exec redis-shared redis-cli INFO
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#
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# Memory usage:
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# docker exec redis-shared redis-cli INFO memory
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#
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# Keyspace (keys per database):
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# docker exec redis-shared redis-cli INFO keyspace
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#
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# Stats:
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# docker exec redis-shared redis-cli INFO stats
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#
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# Per-database keys:
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# docker exec redis-shared redis-cli -n 1 DBSIZE (database 1)
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# docker exec redis-shared redis-cli -n 2 DBSIZE (database 2)
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#
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# Backup:
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#
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# Trigger background save:
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# docker exec redis-shared redis-cli BGSAVE
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#
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# Copy RDB file:
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# cp ~/docker-data/redis-shared/data/dump.rdb \
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# ~/backups/redis-$(date +%Y%m%d).rdb
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#
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# Backup AOF (append-only file):
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# cp ~/docker-data/redis-shared/data/appendonly.aof \
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# ~/backups/redis-aof-$(date +%Y%m%d).aof
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#
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# Restore:
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# docker stop redis-shared
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# cp backup-dump.rdb ~/docker-data/redis-shared/data/dump.rdb
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# docker start redis-shared
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#
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# Maintenance:
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#
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# Clear specific database (DANGER - data loss!):
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# docker exec redis-shared redis-cli -n 1 FLUSHDB
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#
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# Clear all databases (DANGER - total data loss!):
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# docker exec redis-shared redis-cli FLUSHALL
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#
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# Rewrite AOF (compact log file):
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# docker exec redis-shared redis-cli BGREWRITEAOF
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#
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# Configuration Details:
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#
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# Persistence strategy (dual):
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# - AOF (Append Only File): Real-time durability, fsync every second
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# - RDB Snapshots: Periodic snapshots (every 60s if 1000+ keys changed)
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#
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# Memory policy:
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# - Max memory: 512MB
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# - Eviction: allkeys-lru (Least Recently Used eviction when full)
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#
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# Resource Usage (expected):
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# CPU: ~0.1-0.3 cores (low CPU, very efficient)
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# RAM: ~100-400MB (depends on data, capped at 512MB)
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# Storage: ~50-200MB (AOF + RDB files)
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#
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# Applications Using This Cache:
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# - Authentik (sessions, policies, background tasks)
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# - Gitea (sessions, cache, queues) - if migrated
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# - Nextcloud (file locking, distributed cache, sessions)
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# - Future applications as needed
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#
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# Performance Tips:
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# - Use pipeline commands for bulk operations
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# - Set appropriate TTL (Time To Live) on cached keys
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# - Monitor memory usage to prevent eviction storms
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# - Use database numbers to isolate application data
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