How to Monitor Redis

Overview

Redis is a high-performance in-memory data structure store used as a database, cache, and message broker. Xitoring's Redis integration provides real-time monitoring of memory, CPU, throughput, and connection metrics — helping you ensure your Redis instances stay fast and reliable.

What Can It Monitor?

Connected Clients — Number of active client connections
Rejected Connections — Connections refused due to maxclients limit
Reads per Second — Rate of read operations
Writes per Second — Rate of write operations
Used Memory — Total memory consumed by Redis
Used CPU (User) — CPU time spent on user-space operations
Total Keys — Total number of keys across all databases
Hit Rate — Cache hit/miss ratio
Evicted Keys — Keys removed due to memory pressure
Blocked Clients — Clients waiting on blocking operations (BLPOP, etc.)

Prerequisites

Redis installed and running on your server
Xitogent agent installed
Redis CLI password (if authentication is enabled)

No additional modules or configuration changes are required.

How to Activate the Integration

Run the Xitogent CLI:

xitogent integrate

Select Redis from the list of available integrations. When prompted, enter your Redis CLI password. If Redis has no password configured, simply leave it blank and press Enter.

Xitogent automatically connects to Redis on port 6379 and begins collecting statistics.

The config file is created at /etc/xitogent/integrations/redis_integration.conf:

password=myredispassword

Setting Up Triggers

Available trigger parameters:

Connected Clients
Rejected Connections
Reads per Second / Writes per Second
Used Memory
Used CPU (User)
Total Keys

Navigate to Triggers on your server page, select Redis, choose a metric, set your threshold, and configure notifications.

Tips

Monitor Used Memory closely to prevent out-of-memory crashes
Set alerts on Rejected Connections to detect when maxclients is too low
Watch Evicted Keys — a rising count means Redis is under memory pressure
Track Hit Rate to ensure your cache is effective
Works on Linux servers