How does this skill identify Redis performance bottlenecks?

It analyzes slow logs, latency history, and command execution times to pinpoint specific operations that cause delays, offering actionable fixes like replacing KEYS with SCAN.

Does it support benchmarking for high-traffic scenarios?

Absolutely. It includes configurations for redis-benchmark, supporting pipelining and specific command testing to simulate production loads.

What metrics does this skill monitor?

It tracks critical health indicators including memory fragmentation ratio, instantaneous ops/sec, hit ratios, and slow log length to ensure environment stability.

Can I use this skill to manage Redis memory usage?

Yes, it provides tools for memory analysis, big key detection, and configuration of eviction policies like allkeys-lru to prevent out-of-memory errors.

Redis Performance Optimizer

Name: Redis Performance Optimizer
Author: pluginagentmarketplace

bypluginagentmarketplace

•

数据库管理

Optimizes Redis environments through advanced memory analysis, slow log troubleshooting, and high-concurrency benchmarking.

The Redis Performance skill provides a comprehensive toolkit for developers and DevOps engineers to maximize the efficiency of their Redis deployments. It offers automated analysis of memory fragmentation, latency bottlenecks, and command execution speeds, enabling users to transition from basic caching to production-grade data management. By leveraging deep-dive commands and performance-tuning patterns, this skill helps identify 'big keys,' optimize eviction policies, and benchmark throughput to ensure high availability and low-latency responses in high-traffic applications.

主要功能

01High-performance benchmarking with pipelining and custom command testing

02Observability metrics for fragmentation, hit ratios, and operations per second

03Real-time slow log monitoring and expensive command identification

041 GitHub stars

05Automated memory usage analysis and eviction policy recommendations

06Latency monitoring and bottleneck detection via LATENCY DOCTOR

使用场景

01Load testing Redis infrastructure before deploying high-traffic features

02Optimizing memory footprints for large-scale caching layers to reduce costs

03Troubleshooting production latency spikes and identifying slow-running queries

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pluginagentmarketplace/custom-plugin-redis redis-performance

For use in Claude.ai and ChatGPT

Download Skill