Overview of Redis Monitoring, Data Migration, and Cluster Management Tools

When operating Redis, common tasks include monitoring the instance state, migrating data, and managing master‑slave or sharded clusters. This guide presents tools for each of these areas.

Basic Monitoring with the INFO Command

Redis provides the INFO command, which returns detailed runtime statistics. By specifying a section argument, you can retrieve specific categories such as stat , commandstat , cpu , and memory . These sections reveal command execution counts, CPU usage, memory consumption, and persistence status (RDB/AOF). For replication setups, the replication section shows master‑slave synchronization details.

Prometheus‑Based Monitoring with Redis‑exporter

Prometheus is an open‑source monitoring and alerting system that scrapes metrics from exporters. The Redis‑exporter collects the output of INFO and exposes it in a format consumable by Prometheus, enabling visualization in Grafana and alerting on threshold breaches. It supports Redis versions 2.0 through 6.0 and can also report key‑size and collection element counts via the check‑keys option. Custom Lua scripts can be used for specialized metric collection.

Lightweight Alternatives: redis‑stat and Redis Live

Two smaller tools, redis‑stat (written in Ruby) and Redis Live (written in Python), also visualize INFO data and can serve as reference implementations for building custom monitors.

Data Migration with Redis‑shake

Redis‑shake, developed by Alibaba Cloud, synchronizes data between source and target instances. It operates like a replica: the source sends an RDB snapshot to Redis‑shake, which forwards it to the destination, followed by incremental command replication. Redis‑shake supports single‑instance, cluster‑to‑cluster, and proxy‑based migrations, and works for both on‑premises and cloud Redis deployments.

Data Consistency Verification with Redis‑full‑check

After migration, Redis‑full‑check compares source and target data to ensure consistency. It performs multiple rounds of comparison, storing mismatched keys in a SQLite database. Users can control the number of rounds via the comparetimes parameter and select a comparison mode ( KeyOutline, ValueOutline, or FullValue) depending on the required thoroughness.

Cluster Management with CacheCloud

CacheCloud, an open‑source platform from Sohu, automates deployment and management of Redis master‑slave, Sentinel, and Redis Cluster setups. It offers five core operations—offline/online instance, add replica, failover, and configuration management—while collecting and visualizing INFO metrics, storing historical data for troubleshooting and capacity planning.

Overall, these tools provide a comprehensive toolkit for Redis operations, from real‑time monitoring and alerting to reliable data migration and cluster administration.