How to Stress Test Redis with redis-benchmark: A Quick Guide
This guide explains how to use Redis's built-in redis-benchmark tool to simulate concurrent client load, interpret key performance metrics such as request latency and throughput, and monitor server resource usage, helping operators prevent cache-related failures like penetration and avalanche after deployment.
Many operators install Redis without testing its performance, which can cause cache penetration or avalanche issues in production.
Redis includes a built‑in benchmarking tool, redis-benchmark, that can quickly simulate load.
Basic usage: redis-benchmark [option] [option value] For example, to simulate 100 concurrent clients each sending 100 000 requests to a server at 10.100.81.171:
redis-benchmark -h 10.100.81.171 -p 6379 -c 100 -n 100000Result interpretation:
100 000 requests completed in 1.60 seconds.
3‑byte payload per request.
Keep‑alive connections (1 per client).
100 % of requests finished within ≤2 ms.
≈62 656 requests per second.
Benchmarking read/write performance with a 500‑byte payload:
redis-benchmark -h 10.100.81.171 -p 6379 -q -d 500Images below show the benchmark output and server resource usage observed via monitoring tools.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
Open Source Linux
Focused on sharing Linux/Unix content, covering fundamentals, system development, network programming, automation/operations, cloud computing, and related professional knowledge.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.