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.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/speed_engineer/i-migrated-redis-to-keydb-same-protocol-5x-throughput-0-rewrite-2174 |
| Publication time | Wed, 27 May 2026 03:00:00 +0000 |
| Retrieval time | 2026-05-27T03:07:56.299Z |
| Last seen | 2026-05-27T03:07:56.299Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | ZXBQnPSebOqs |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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