Redis dashboard: monitor everything.

Connect to your Redis cluster and build monitoring dashboards, inspect keys, track queues, and automate alerts — just by asking.

redis-cli — prod-cluster6379

127.0.0.1:6379>SET session:u9847 '{"uid":"9847","role":"admin","exp":1710892800}' EX 1800
OK

127.0.0.1:6379>HGETALL user:1029

1) "name" "Alice Chen"

2) "plan" "pro"

3) "sessions" "14"

127.0.0.1:6379>ZADD leaderboard 9847"player:ace"

(integer) 1

127.0.0.1:6379>XADD events \* type "purchase" amount "49.99"

"1710892800012-0"

127.0.0.1:6379>

The speed of thought.

<1ms

avg latency
124K
ops / sec
99.7%
cache hit rate
6
data structures

What’s in your Redis right now?

camelAI connects to your cluster and gives you a visual key browser — search, filter, inspect values, and track TTLs without touching redis-cli.

Key Explorer — prod-clusterConnected
Search keys…847,291 keys

Showing 7 of 847,291 keys
Memory: 2.1 GB / 3.4 GB (62%)

Every data structure, visualized.

Redis isn’t just key-value. camelAI understands all six data structures and builds the right visualization for each.

STRING

Simple key-value
"hello" → "world"
Counters, cached responses, feature flags, rate limiters.

> SET page_views 847291

HASH

Field-value map
{ name: Alice, plan: pro }
User profiles, session data, config objects.

> HSET user:1 name Alice plan pro

LIST

Ordered queue
[ a → b → c → d ]
Job queues, activity feeds, message buffers.

> LPUSH queue:jobs task_9847

SET

Unique collection
{ a, b, c, d }
Tags, unique visitors, online users.

> SADD online:users u:1029 u:9847

SORTED SET

Ranked data
1st · 2nd · 3rd
Leaderboards, priority queues, time-series indexes.

> ZADD leaderboard 9847 player:ace

STREAM

Append-only log
▶ ▶ ▶ ▶ ▶
Event sourcing, audit trails, real-time feeds.

> XADD events * type purchase

What backend engineers build with camelAI.

Cache monitoring dashboard

Visualize hit rates, memory usage, eviction counts, and connected clients in real time. camelAI builds a live-refreshing dashboard you can share with your infra team — no Grafana setup required.

Queue depth monitor

Track list lengths, consumer lag, and processing rates across all your Redis queues. Set up cron jobs that alert you in Slack when queue depth crosses a threshold.

Session inspector

Look up any user session by ID, view TTL and contents, and see active session counts over time. Debug auth issues in seconds instead of redis-cli gymnastics.

Real-time leaderboard

Build a live leaderboard app from your sorted sets — scores update in real time, with player profiles, rank history, and exportable standings.

From CLI to dashboard in one message.

Redis Monitor — ProductionLive

Ops / sec
124,847
▲ 8% vs yesterday
Memory
2.1 GB
62% of 3.4 GB
Hit Rate
99.7%
▲ 0.2% vs yesterday
Key Count
847K
▲ 12K new today
Memory Usage 2.1 GB / 3.4 GB
0 GB 62% used 3.4 GB

Operations per Second (last 24h)

150K100K50K0
00:0004:0008:0012:0016:0020:00

Latency Distribution
p50 0.12ms
p90 0.34ms
p99 2.41ms

What will you build on your Redis data?

“Connect to our Redis cluster and build a cache monitoring dashboard showing hit rate, memory usage, eviction rate, and connected clients. Auto-refresh every 30 seconds.”

“Inspect all session keys matching session:* — show me a table with user IDs, TTL remaining, and last access time. Let me click any row to see the full session payload.”

“Monitor our email queue in Redis. Show current depth, processing rate, and average wait time. Set up a cron job that alerts #ops in Slack if queue depth exceeds 1,000.”

“Build a real-time leaderboard from our sorted set. Show top 50 players with scores, rank changes, and a line chart of score progression over the past 7 days.”

Your cache is already fast.

Now make it visible.