原文见:how-twitter-uses-redis-to-scale-105tb-ram-39mm-qps-10000-ins
原文讲述作者在twitter使用redis进行scale-105tb-ram-39mm-qps-10000-ins的一些经验(其实主要列举了搭建large-scale系统需要考虑的一些情况,这点还是很值得看一下的;也讨论了这种环境下使用redis需要考虑的因素)
- Why Redis?
- Hybrid List
- BTree
- Cluster Management
- Data Insight
- Wish List for Redis
几个好的总结:
(嗯,第六点?)
- Scale demands predictability.
The larger the cluster, the more customers, the more predictable and deterministic you want your service to be. When there’s one customer and there’s a problem you can dig into a problem and it’s intriguing. When you have 70 customers you can’t keep up.