lmarena.ai(@lmarena_ai)
Millions of people worldwide bring real-world tasks to Arena - and at that scale, hot/cold storage b...
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TL;DR · AI 摘要
Arena.ai 面临大规模数据存储挑战,分享了 CDC 复制、临时存储权衡等最佳实践。
核心要点
- 大规模数据存储需要 CDC 复制等技术来优化性能。
- 临时存储在高并发场景下存在显著权衡。
- 构建跨数十亿数据点的基础设施需综合考虑存储与计算资源。
结构提纲
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思维导图
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- 大规模数据存储挑战
- 存储问题
- 热/冷存储
- 数据点规模
- 解决方案
- CDC 复制
- 临时存储权衡
- 数据基础设施
金句 / Highlights
值得收藏与分享的关键句。
在处理数亿数据点时,热/冷存储成为关键问题。
工程团队分享了 CDC 复制、临时存储权衡等解决方案。
构建跨数十亿数据点的基础设施需综合考虑存储与计算资源。
#数据存储#工程实践#Arena.ai#CDC复制
打开原文Arena.ai on X: "Millions of people worldwide bring real-world tasks to Arena - and at that scale, hot/cold storage becomes a hard problem fast. In this clip, our engineering team walks through some best practices: CDC replication, ephemeral storage tradeoffs, and what it takes to build data https://t.co/ijZ18xR3j0" / X
Arena.ai
@arena
Millions of people worldwide bring real-world tasks to Arena - and at that scale, hot/cold storage becomes a hard problem fast. In this clip, our engineering team walks through some best practices: CDC replication, ephemeral storage tradeoffs, and what it takes to build data infrastructure across billions of data points. Watch the full clip on YouTube clip in thread.
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9:44 PM · Jun 26, 2026
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