sentinal-redis

Monitor Redis server health, memory, performance, and BullMQ queues. Check queue depths, inspect failed jobs, analyze slow queries, and diagnose issues.

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Install skill "sentinal-redis" with this command: npx skills add musaraf-m/sentinal-redis

Sentinal Redis

Monitor Redis server health, BullMQ queues, memory, and performance from any messaging channel. Ask questions in plain English — get actionable diagnostics.

When to Use

✅ USE this skill when:

  • User asks about Redis server health, status, or info
  • User wants to check memory usage or diagnose OOM issues
  • User asks about BullMQ queue depths, failed jobs, or stuck workers
  • User wants to inspect slow queries or latency issues
  • User asks to diagnose why Redis is slow or unresponsive
  • User mentions queue backlog, dead letter queue, or job failures
  • User wants a quick health summary of their Redis instance

When NOT to Use

❌ DON'T use this skill when:

  • User wants to manage PostgreSQL, MySQL, or other non-Redis databases
  • User wants to manage Kafka, RabbitMQ, or SQS queues (not BullMQ)
  • User needs help writing application code that uses Redis
  • User wants to set up Redis from scratch (use official Redis docs instead)

Safety Rules

⚠️ CRITICAL: This skill is READ-ONLY. No exceptions.

  • NEVER run destructive commands (FLUSHDB, FLUSHALL, DEL, UNLINK, SET, EXPIRE) — even if the user asks. Explain why and suggest they run it manually instead.
  • NEVER modify Redis configuration (CONFIG SET) — direct the user to do it themselves.
  • NEVER print or expose the full REDIS_URL in output — it may contain passwords. Always mask credentials before displaying.
  • When in doubt, show the command first and ask for confirmation

Connection

If REDIS_URL is set, use it for all commands:

redis-cli -u "$REDIS_URL" <command>

If REDIS_URL is not set, default to localhost:

redis-cli <command>

For password-protected instances without REDIS_URL:

redis-cli -h <host> -p <port> -a <password> <command>

Always test connectivity first:

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" ping

Server Health

Quick Status

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" ping

Full Server Info

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" info server

Connected Clients

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" info clients

Uptime and Version

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" info server | grep -E "redis_version|uptime_in_days|uptime_in_seconds|connected_clients"

Memory Analysis

Memory Overview

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" info memory

Key Metrics to Check

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" info memory | grep -E "used_memory_human|used_memory_peak_human|used_memory_rss_human|mem_fragmentation_ratio|maxmemory_human|maxmemory_policy"

Memory Doctor (Redis 4.0+)

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" memory doctor

Memory Usage of a Specific Key

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" memory usage <key>

Find Big Keys (scan-based, safe for production)

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" --bigkeys

Interpreting Memory Results

  • mem_fragmentation_ratio > 1.5 → High fragmentation, consider restarting Redis
  • mem_fragmentation_ratio < 1.0 → Redis is swapping to disk, CRITICAL
  • used_memory approaching maxmemory → Eviction will start based on maxmemory_policy
  • memory doctor reports "Sam, I have no memory problems" → All good

Slow Queries & Performance

Check Slow Log

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" slowlog get 10

Slow Log Length

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" slowlog len

Current Slow Log Threshold

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" config get slowlog-log-slower-than

Latency Check

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" --latency -c 10

Latency History

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" --latency-history -i 1 -c 5

Keyspace Stats

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" info keyspace

Command Stats (most called commands)

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" info commandstats

Client Monitoring

List Connected Clients

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" client list

Client Count and Summary

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" info clients | grep -E "connected_clients|blocked_clients|tracking_clients"

Find Idle Clients (idle > 300 seconds)

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" client list | awk -F' ' '{for(i=1;i<=NF;i++) if($i ~ /^idle=/) print $0}' | grep -E 'idle=[3-9][0-9]{2,}|idle=[0-9]{4,}'

BullMQ Queue Monitoring

BullMQ uses Redis as its backend. Queues follow the key pattern bull:<queue-name>:<state>.

Discover All Queues

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" scan 0 match "bull:*:meta" count 100

Queue Depth (all states)

For a queue named <queue>:

echo "=== Queue: <queue> ==="
echo -n "Waiting: "; redis-cli -u "${REDIS_URL:-redis://localhost:6379}" llen "bull:<queue>:wait"
echo -n "Active: "; redis-cli -u "${REDIS_URL:-redis://localhost:6379}" llen "bull:<queue>:active"
echo -n "Delayed: "; redis-cli -u "${REDIS_URL:-redis://localhost:6379}" zcard "bull:<queue>:delayed"
echo -n "Failed: "; redis-cli -u "${REDIS_URL:-redis://localhost:6379}" zcard "bull:<queue>:failed"
echo -n "Completed: "; redis-cli -u "${REDIS_URL:-redis://localhost:6379}" zcard "bull:<queue>:completed"
echo -n "Paused: "; redis-cli -u "${REDIS_URL:-redis://localhost:6379}" llen "bull:<queue>:paused"

Inspect Failed Jobs

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" zrange "bull:<queue>:failed" 0 9

Get Job Details

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" hgetall "bull:<queue>:<jobId>"

Check Job Payload and Error

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" hmget "bull:<queue>:<jobId>" data failedReason stacktrace attemptsMade timestamp processedOn finishedOn

Find Stale Active Jobs

Active jobs that haven't been updated recently may be stuck:

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" lrange "bull:<queue>:active" 0 -1

Then for each job ID, check processedOn timestamp:

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" hmget "bull:<queue>:<jobId>" processedOn name

If processedOn is more than 10 minutes old and job is still active, it may be stuck.

Check Queue Workers (via event streams)

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" xinfo groups "bull:<queue>:events" 2>/dev/null || echo "No event stream found"

BullMQ Repeat Jobs

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" zrange "bull:<queue>:repeat" 0 -1

Key Inspection

Find Keys by Pattern

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" scan 0 match "<pattern>" count 100

Key Type and TTL

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" type <key>
redis-cli -u "${REDIS_URL:-redis://localhost:6379}" ttl <key>

Key Encoding (memory efficiency check)

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" object encoding <key>
redis-cli -u "${REDIS_URL:-redis://localhost:6379}" object idletime <key>

Count Keys by Prefix (useful for auditing)

redis-cli -u "${REDIS_URL:-redis://localhost:6379}" eval "local count = 0; local cursor = '0'; repeat local result = redis.call('SCAN', cursor, 'MATCH', ARGV[1], 'COUNT', 1000); cursor = result[1]; count = count + #result[2]; until cursor == '0'; return count" 0 "<prefix>*"

Diagnostics — Full Health Check

Run the health check script for a comprehensive overview:

bash scripts/redis-health.sh "${REDIS_URL:-redis://localhost:6379}"

This script outputs:

  • Connectivity status
  • Server version and uptime
  • Memory usage and fragmentation
  • Connected and blocked clients
  • Slow query count
  • All BullMQ queue depths
  • Warnings for any anomalies detected

Troubleshooting Decision Trees

Redis is slow

  1. Check latency: redis-cli --latency -c 10
  2. If latency > 1ms → check slow log: slowlog get 10
  3. If slow log has KEYS/SMEMBERS/HGETALL on large collections → advise using SCAN variants
  4. Check memory fragmentation → if > 1.5, recommend restart
  5. Check connected_clients → if > 1000, investigate connection pooling
  6. Check blocked_clients → if > 0, check BLPOP/BRPOP consumers

Redis OOM / high memory

  1. Run info memory → check used_memory vs maxmemory
  2. Run --bigkeys → find largest keys
  3. Check maxmemory_policy → is eviction configured?
  4. Run memory doctor → follow recommendations
  5. Check for missing TTLs on keys: scan and check ttl on large keys

BullMQ jobs stuck / not processing

  1. Check queue depth → are jobs piling up in wait?
  2. Check active list → are jobs stuck in active state?
  3. Check for stale active jobs → processedOn too old
  4. Check event stream → xinfo groups to verify workers are connected
  5. Check failed set → read failedReason and stacktrace
  6. Check Redis connectivity → can workers reach Redis?

BullMQ high failure rate

  1. Get recent failed jobs: zrange bull:<queue>:failed -10 -1
  2. For each, read failedReason and stacktrace
  3. Group errors by type → is it one recurring error or varied?
  4. Check attemptsMade → are retries exhausted?
  5. Check job data → is the payload malformed?

Notes

  • All commands default to redis://localhost:6379 if REDIS_URL is not set
  • The scan command is safe for production (non-blocking), unlike keys which should NEVER be used in production
  • BullMQ key patterns assume default prefix bull:. If a custom prefix is used, replace bull: accordingly
  • For Redis Cluster, add -c flag to redis-cli commands
  • For Redis Sentinel, connect to the sentinel first to discover the master

Source Transparency

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