Redis: Big Keys Destroem o Desempenho Compartilhado
The article discusses the impact of large keys in Redis on shared performance. It explains how a single large key can degrade the performance of all consumers in a multi-tenant environment due to Redis's single-threaded processing model. Strategies for detecting and mitigating the issue of big keys are also outlined, along with examples in C#.
- ▪A single large key in Redis can significantly degrade performance for all consumers in a shared environment.
- ▪Redis operates on a single-threaded event loop, meaning that slow operations block all other commands from being processed.
- ▪The article provides guidelines on what constitutes a 'big key' and how to monitor and manage them effectively.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3877582) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Lincoln Zocateli Posted on May 25 • Originally published at zocate.li Redis: Big Keys Destroem o Desempenho Compartilhado #portuguese #redis #cache #performance Introdução Se você usa Redis em um ambiente compartilhado — seja uma instância usada por múltiplos microserviços, múltiplos times ou múltiplos tenants — uma única chave grande pode degradar o desempenho de todos os outros consumidores ao mesmo tempo.
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