oliver006/redis_exporter — explained in plain English
Analysis updated 2026-05-18
Monitor memory usage and client connections across multiple Redis servers in Prometheus.
Track command throughput and cache hit/miss rates for a production Redis instance.
Auto-discover and monitor every node in a Redis Cluster without listing them manually.
Set up alerting on Redis replication status using existing Prometheus infrastructure.
| oliver006/redis_exporter | irinesistiana/mosdns | x-motemen/ghq | |
|---|---|---|---|
| Stars | 3,625 | 3,624 | 3,624 |
| Language | Go | Go | Go |
| Setup difficulty | moderate | moderate | easy |
| Complexity | 3/5 | 3/5 | 2/5 |
| Audience | ops devops | ops devops | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires a running Prometheus setup and pointing the exporter at your Redis or Valkey instances.
This project is a bridge between Redis (and Valkey, a Redis-compatible fork) and Prometheus, a popular monitoring tool. Redis is a database that stores data in memory for fast access. Prometheus is a system that collects numbers over time from your running software so you can graph them, set alerts, and understand how things are performing. By default, Redis does not speak Prometheus's format, so this exporter sits in between: it connects to one or more Redis servers, reads their internal statistics, and presents those statistics in a format Prometheus understands. You run the exporter as its own small program alongside your Redis instances. Prometheus then polls the exporter on a regular schedule, and the exporter fetches the current stats from Redis on demand and returns them. Metrics available include memory usage, the number of connected clients, how many commands are being processed per second, hit and miss rates for cached data, replication status, and more. The exporter supports multiple Redis instances at once, so one running copy can report on several servers. It also supports Redis Cluster, where data is spread across many nodes, and it can automatically discover all the nodes in a cluster rather than requiring you to list each one manually. It works with both Valkey 7.x through 9.x and various versions of Redis. Pre-built binary downloads are available, and it can also be built from source using the Go programming language. Configuration is handled through command-line flags or environment variables, and the README documents the full list of options in detail. The full README is longer than what was shown.
A monitoring bridge that reads Redis or Valkey statistics and exposes them in a format Prometheus can collect and graph.
Mainly Go. The stack also includes Go, Prometheus, Redis.
No license information is stated in the explanation.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly ops devops.
This repo across BitVibe Labs
Verify against the repo before relying on details.