
Redis
- 114 installs
- 44 repo stars
- Updated May 22, 2026
- bagelhole/devops-security-agent-skills
Redis (skill) is a Claude Code skill that configures and operates Redis for caching, queues, persistence, clustering, and Sentinel high availability.
About
This skill configures, operates, and optimizes Redis for caching, queues, rate limiting, and real-time data. A developer uses it to set up redis.conf, RDB and AOF persistence, Sentinel high availability, and Cluster-mode sharding. It includes command references and common patterns like cache-aside, sliding-window rate limiting, and pub/sub.
- Caching, queues, rate limiting, and pub/sub patterns
- RDB + AOF persistence and recommended production strategy
- Sentinel high availability and Cluster-mode sharding
Redis by the numbers
- 114 all-time installs (skills.sh)
- Ranked #311 of 911 Databases skills by installs in the Skillselion catalog
- Data as of Jul 28, 2026 (Skillselion catalog sync)
redis capabilities & compatibility
- Capabilities
- database · devops
- Works with
- redis
- Use cases
- database · devops
- Platforms
- Linux
- Pricing
- Free
What redis says it does
Configure, operate, and optimize Redis for caching, queues, rate limiting, and real-time data storage.
Use both RDB and AOF together. RDB provides fast restarts and compact backups. AOF provides durability down to 1-second granularity.
Sentinel monitors Redis instances and performs automatic failover.
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| Installs | 114 |
|---|---|
| repo stars | ★ 44 |
| Last updated | May 22, 2026 |
| Repository | bagelhole/devops-security-agent-skills ↗ |
What it does
Configure and operate Redis for caching, queues, persistence, and high availability with Sentinel or Cluster mode.
Who is it for?
Engineers deploying self-managed Redis for caching, queues, or high availability.
Skip if: Managed Redis-as-a-service where server configuration is abstracted away.
When should I use this skill?
You are configuring Redis persistence, clustering, or Sentinel failover.
What you get
A configured, persistent, highly available Redis deployment.
- redis.conf configuration
- Sentinel and Cluster setup
- Caching and rate-limit patterns
By the numbers
- 6-node cluster example (3 masters + 3 replicas)
- at least three Sentinel instances recommended for quorum
Files
Redis
Configure, operate, and optimize Redis for caching, queues, rate limiting, and real-time data storage.
When to Use
- You need a low-latency in-memory cache to reduce database load.
- Your application requires rate limiting, session storage, or leaderboards.
- You need pub/sub messaging between services.
- You want a distributed lock or job queue backed by an in-memory store.
Prerequisites
- Linux server or Docker.
- Root or sudo access for package installation.
- Redis 7.x recommended for production.
Installation and Setup
# Debian / Ubuntu
sudo apt update
sudo apt install -y redis-server
# RHEL / Amazon Linux
sudo dnf install -y redis
# Start and enable
sudo systemctl enable --now redis-server
# Verify
redis-cli ping
# Expected output: PONGCore Configuration
Edit /etc/redis/redis.conf:
# Network
bind 0.0.0.0
port 6379
protected-mode yes
requirepass strong_redis_password
# Memory
maxmemory 2gb
maxmemory-policy allkeys-lru
# Connections
maxclients 10000
timeout 300
tcp-keepalive 60
# Logging
loglevel notice
logfile /var/log/redis/redis-server.log
# Security — disable dangerous commands in production
rename-command FLUSHALL ""
rename-command FLUSHDB ""
rename-command CONFIG ""
rename-command DEBUG ""sudo systemctl restart redis-serverredis-cli Commands Reference
# Connect with authentication
redis-cli -a strong_redis_password
# Connect to a remote host
redis-cli -h 10.0.0.5 -p 6379 -a strong_redis_passwordString Operations
SET user:1:name "Alice"
GET user:1:name
# Set with TTL (seconds)
SETEX session:abc123 3600 '{"userId":1}'
# Set only if key does not exist (distributed lock pattern)
SET lock:order:42 "worker-1" NX EX 30
# Increment counters
INCR page:views:/home
INCRBY api:quota:user:1 -1Hash Operations
HSET user:1 name "Alice" email "alice@example.com" plan "pro"
HGET user:1 email
HGETALL user:1
HINCRBY user:1 login_count 1List Operations (Queues)
LPUSH queue:emails '{"to":"alice@example.com","subject":"Welcome"}'
RPOP queue:emails
LLEN queue:emails
# Blocking pop (worker pattern)
BRPOP queue:emails 30Set and Sorted Set Operations
# Sets — unique tags
SADD article:1:tags "redis" "database" "caching"
SMEMBERS article:1:tags
SISMEMBER article:1:tags "redis"
# Sorted sets — leaderboards
ZADD leaderboard 1500 "player:1" 2300 "player:2" 1800 "player:3"
ZREVRANGE leaderboard 0 9 WITHSCORES
ZINCRBY leaderboard 100 "player:1"
ZRANK leaderboard "player:2"Key Management
KEYS user:* # avoid in production — use SCAN instead
SCAN 0 MATCH user:* COUNT 100
TTL session:abc123
PERSIST session:abc123
DEL user:old
EXPIRE user:1 86400
TYPE user:1Persistence
RDB Snapshots
# redis.conf — save snapshots at intervals
save 900 1 # snapshot if >= 1 key changed in 900 seconds
save 300 10 # snapshot if >= 10 keys changed in 300 seconds
save 60 10000 # snapshot if >= 10000 keys changed in 60 seconds
dbfilename dump.rdb
dir /var/lib/redis
rdbcompression yesAOF (Append-Only File)
appendonly yes
appendfilename "appendonly.aof"
appendfsync everysec # good balance of safety and performance
# Options: always (safest, slowest), everysec (recommended), no (OS decides)
# AOF rewrite thresholds
auto-aof-rewrite-percentage 100
auto-aof-rewrite-min-size 64mbRecommended Production Strategy
Use both RDB and AOF together. RDB provides fast restarts and compact backups. AOF provides durability down to 1-second granularity.
save 900 1
save 300 10
appendonly yes
appendfsync everysecRedis Sentinel (High Availability)
Sentinel monitors Redis instances and performs automatic failover.
Sentinel Configuration
# /etc/redis/sentinel.conf
port 26379
sentinel monitor mymaster 10.0.0.1 6379 2
sentinel auth-pass mymaster strong_redis_password
sentinel down-after-milliseconds mymaster 5000
sentinel failover-timeout mymaster 60000
sentinel parallel-syncs mymaster 1Run at least three Sentinel instances for quorum.
# Start Sentinel
redis-sentinel /etc/redis/sentinel.conf
# Query Sentinel
redis-cli -p 26379 SENTINEL masters
redis-cli -p 26379 SENTINEL get-master-addr-by-name mymaster
redis-cli -p 26379 SENTINEL replicas mymasterRedis Cluster Mode
Cluster mode distributes data across multiple shards automatically.
# Create a 6-node cluster (3 masters + 3 replicas)
redis-cli --cluster create \
10.0.0.1:6379 10.0.0.2:6379 10.0.0.3:6379 \
10.0.0.4:6379 10.0.0.5:6379 10.0.0.6:6379 \
--cluster-replicas 1 -a strong_redis_password
# Check cluster status
redis-cli -c -a strong_redis_password CLUSTER INFO
redis-cli -c -a strong_redis_password CLUSTER NODES
# Add a new node
redis-cli --cluster add-node 10.0.0.7:6379 10.0.0.1:6379
# Rebalance slots
redis-cli --cluster rebalance 10.0.0.1:6379# redis.conf for cluster nodes
cluster-enabled yes
cluster-config-file nodes.conf
cluster-node-timeout 5000Common Patterns
Caching with TTL
# Cache a database query result for 5 minutes
SET cache:user:42:profile '{"name":"Alice","plan":"pro"}' EX 300
# Cache-aside pattern (pseudocode):
# 1. GET cache:key -> if hit, return
# 2. Query database
# 3. SET cache:key result EX 300
# 4. Return resultRate Limiting (Sliding Window)
# Allow 100 requests per minute per user
# Using a sorted set with timestamps as scores
ZADD ratelimit:user:42 1700000000.123 "req-uuid-1"
ZREMRANGEBYSCORE ratelimit:user:42 0 1699999940.000
ZCARD ratelimit:user:42
EXPIRE ratelimit:user:42 60
# If ZCARD >= 100, reject the requestPub/Sub Messaging
# Terminal 1 — subscriber
redis-cli -a strong_redis_password
SUBSCRIBE notifications:order-updates
# Terminal 2 — publisher
redis-cli -a strong_redis_password
PUBLISH notifications:order-updates '{"orderId":42,"status":"shipped"}'
# Pattern subscription
PSUBSCRIBE notifications:*Distributed Locking (Redlock Pattern)
# Acquire lock
SET lock:resource:42 "worker-abc" NX EX 30
# Returns OK if acquired, nil if already held
# Release lock (use Lua script to ensure atomicity)
redis-cli -a strong_redis_password EVAL "
if redis.call('get', KEYS[1]) == ARGV[1] then
return redis.call('del', KEYS[1])
else
return 0
end
" 1 lock:resource:42 "worker-abc"Docker Compose Setup
# docker-compose.yml
version: "3.9"
services:
redis:
image: redis:7-alpine
restart: unless-stopped
ports:
- "6379:6379"
volumes:
- redis_data:/data
- ./redis.conf:/usr/local/etc/redis/redis.conf:ro
command: redis-server /usr/local/etc/redis/redis.conf
healthcheck:
test: ["CMD", "redis-cli", "-a", "strong_redis_password", "ping"]
interval: 10s
timeout: 5s
retries: 5
redis-sentinel:
image: redis:7-alpine
restart: unless-stopped
ports:
- "26379:26379"
volumes:
- ./sentinel.conf:/usr/local/etc/redis/sentinel.conf
command: redis-sentinel /usr/local/etc/redis/sentinel.conf
depends_on:
redis:
condition: service_healthy
redis-commander:
image: rediscommander/redis-commander:latest
restart: unless-stopped
ports:
- "8081:8081"
environment:
REDIS_HOSTS: "local:redis:6379:0:strong_redis_password"
depends_on:
redis:
condition: service_healthy
volumes:
redis_data:docker compose up -d
redis-cli -h 127.0.0.1 -a strong_redis_password pingMonitoring
# Real-time stats
redis-cli -a strong_redis_password INFO stats
redis-cli -a strong_redis_password INFO memory
redis-cli -a strong_redis_password INFO replication
# Key metrics to watch
redis-cli -a strong_redis_password INFO stats | grep -E "keyspace_hits|keyspace_misses"
# Hit ratio = hits / (hits + misses) — aim for > 95%
# Memory usage breakdown
redis-cli -a strong_redis_password MEMORY STATS
# Slow log (queries > 10ms by default)
redis-cli -a strong_redis_password SLOWLOG GET 10
redis-cli -a strong_redis_password SLOWLOG LEN
# Monitor all commands in real time (debugging only — impacts performance)
redis-cli -a strong_redis_password MONITOR
# Connected clients
redis-cli -a strong_redis_password CLIENT LISTTroubleshooting
| Symptom | Likely Cause | Fix |
|---|---|---|
OOM command not allowed | maxmemory limit reached | Increase maxmemory or set a stricter eviction policy |
| High latency spikes | RDB save or AOF rewrite forking | Use save "" to disable RDB if AOF is enabled; tune auto-aof-rewrite-min-size |
LOADING Redis is loading the dataset in memory | Large dataset being restored on startup | Wait for load to complete; consider smaller dataset or faster disk |
| Cache hit ratio < 90% | TTLs too short or working set exceeds memory | Increase maxmemory; review TTL strategy |
| Sentinel not failing over | Fewer than quorum Sentinels reachable | Ensure >= 3 Sentinels are running and network-connected |
CROSSSLOT error in cluster | Multi-key command spans slots | Use hash tags {user:42}:profile to colocate related keys |
Related Skills
- postgresql - Primary database that Redis caches
- mysql - Primary database that Redis caches
- mongodb - Document database that Redis can front
- database-backups - Include RDB files in backup strategy
Related skills
FAQ
How does it achieve high availability?
Redis Sentinel monitors instances and performs automatic failover, with at least three Sentinel instances for quorum.
What persistence strategy is recommended?
Use both RDB and AOF together: RDB for fast restarts and compact backups, AOF for 1-second durability.