Just One Pure ITer
by leelight · Published · Updated
二
在支撑住了百亿量级的数据存储与计算后，新的问题又来了：系统架构如何避免单点故障？如何设计弹性计算资源调度机制？如何设计高容错机制？新一轮的重构，势在必行！
三
还没完！随着业务的发展，系统将迎来百亿流量的高并发挑战，这时之前的那套架构就有些吃不消了。我们需要做计算与存储的分离、自研纯内存SQL计算引擎、对MQ做削峰以及流量控制、将系统重构为动静分离的架构。新一轮的重构，被业务的发展推上了风口浪尖！
四
解决上述问题后，查询的问题又来了。我们如何设计能够支撑每秒数十万查询的高并发架构？新一轮重构，自研ElasticSearch+HBase+纯内存的查询引擎，彻底解决每秒10万查询的高并发挑战！
五
最后，我们要确保设计出来的这套亿级流量架构的高可用！通过设计MQ集群高可用方案、KV集群高可用方案、实时计算链路高可用方案、冷热数据高可用方案、真正保证亿级流量架构全链路99.99%的高可用。
同时阅读：消息中间件的缺点
[source]亿级流量架构系列专栏总结
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