Databases 3 min read

How to Stress Test Redis with redis‑benchmark: Commands, Parameters, and Results

Learn how to use Redis's built-in redis‑benchmark tool to simulate concurrent clients, configure request parameters, interpret performance metrics, and visualize results, ensuring your Redis deployment is properly tested for throughput, latency, and resource utilization before production.

MaGe Linux Operations
MaGe Linux Operations
MaGe Linux Operations
How to Stress Test Redis with redis‑benchmark: Commands, Parameters, and Results

Many people install and deploy Redis without performing performance testing on its configuration and high‑availability setup, which can lead to cache penetration, avalanche, and other issues. As operations staff, you can use Redis's built‑in benchmark tool for simple load testing. redis-benchmark [option] [option value] For example, with a local Redis service at IP 10.100.81.171, you can simulate 100 concurrent users each performing 1000 requests.

redis-benchmark -h 10.100.81.171 -p 6379 -c 100 -n 100000

Parameter details:

100000 requests completed in 1.60 seconds (default 100000)

3 bytes payload per request

keep alive: 1 (single connection handling all requests)

100.00% ≤ 2 milliseconds latency

62656.64 requests per second throughput

Result snapshot:

Redis read/write benchmark with a 500‑byte payload:

redis-benchmark -h 10.100.81.171 -p 6379 -q -d 500

You can also monitor Redis server resource usage with monitoring commands or other tools:

redis‑benchmark command usage introduction:

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RedisPerformance Testing
MaGe Linux Operations
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MaGe Linux Operations

Founded in 2009, MaGe Education is a top Chinese high‑end IT training brand. Its graduates earn 12K+ RMB salaries, and the school has trained tens of thousands of students. It offers high‑pay courses in Linux cloud operations, Python full‑stack, automation, data analysis, AI, and Go high‑concurrency architecture. Thanks to quality courses and a solid reputation, it has talent partnerships with numerous internet firms.

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