Redis
Redis dashboard:
monitor everything.
Connect to your Redis cluster and build monitoring dashboards, inspect keys, track queues, and automate alerts — just by asking.
The speed of thought.
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.
Every data structure, visualized.
Redis isn’t just key-value. camelAI understands all six data structures and builds the right visualization for each.
Counters, cached responses, feature flags, rate limiters.
User profiles, session data, config objects.
Job queues, activity feeds, message buffers.
Tags, unique visitors, online users.
Leaderboards, priority queues, time-series indexes.
Event sourcing, audit trails, real-time feeds.
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.
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.”
Try this prompt“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.”
Try this prompt“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.”
Try this prompt“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.”
Try this prompt