I Migrated Redis to KeyDB — Same Protocol, 5x Throughput, $0 Rewrite
The migration from Redis to KeyDB resulted in a significant performance improvement. KeyDB achieved 850k operations per second on three nodes compared to Redis's 180k on twelve nodes. This transition also reduced infrastructure costs and latency issues associated with Redis's single-threaded model.
- ▪KeyDB is a multi-threaded fork of Redis that offers a drop-in replacement with improved performance.
- ▪The migration led to a fivefold increase in throughput while reducing the number of nodes required.
- ▪The previous Redis setup was costing $8,400 per month, which was expected to rise significantly due to increasing traffic.
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 === 3844864) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } speed engineer Posted on May 27 • Originally published at Medium I Migrated Redis to KeyDB — Same Protocol, 5x Throughput, $0 Rewrite #webdev #systemdesign #backend #programming Our Redis cluster was maxing out at 180k ops/sec across 12 nodes. KeyDB handled 850k ops/sec on 3 nodes. Same commands, same clients, zero… I Migrated Redis to KeyDB — Same Protocol, 5x Throughput, $0 Rewrite Our Redis cluster was maxing out at 180k ops/sec across 12 nodes.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
Discussion
0 commentsMore from DEV.to (Top)
