Zookeeper和etcd比較:https://www.cnblogs.com/zccgo/p/5714280.html
基于Redis的Bloomfilter布隆過濾器去重(轉(zhuǎn)載):https://www.cnblogs.com/shaosks/p/7308042.html
基于Redis的BloomFilter布隆過濾器算法去重:http://www.mamicode.com/info-detail-1469230.html
基于Redis的BloomFilter實(shí)戰(zhàn):http://blog.csdn.net/xf_87/article/details/51074642
Bloom Filter 布隆過濾器算法簡介 (增加 Counting Bloom Filter 內(nèi)容):https://my.oschina.net/kiwivip/blog/133498
如何使用bloomfilter布隆過濾器構(gòu)建大型Java緩存系統(tǒng):http://www.importnew.com/13032.html
國內(nèi)外三個不同領(lǐng)域巨頭分享的Redis實(shí)戰(zhàn)經(jīng)驗(yàn)及使用場景(轉(zhuǎn)):http://www.cnblogs.com/ajianbeyourself/p/4475183.html
用redis實(shí)現(xiàn)計(jì)數(shù)器的例子 :https://yq.aliyun.com/ziliao/58892
Redis自增實(shí)現(xiàn)計(jì)數(shù):http://blog.csdn.net/alexhendar/article/details/48315935
使用redis計(jì)數(shù)器防止并發(fā)請求 :http://pengl.com.cn/2017/09/26/%E4%BD%BF%E7%94%A8Redis%E8%AE%A1%E6%95%B0%E5%99%A8%E9%98%B2%E6%AD%A2%E5%B9%B6%E5%8F%91%E8%AF%B7%E6%B1%82/
Redis作者談Redis應(yīng)用場景(轉(zhuǎn)) :https://www.cnblogs.com/ajianbeyourself/p/4395146.html
緩存更新策略/緩存穿透/緩存雪崩 :http://blog.csdn.net/chunlongyu/article/details/53384933
mysql數(shù)據(jù)庫面試總結(jié) :https://www.cnblogs.com/wmbg/p/6800354.html
Mysql--聚簇索引&非聚簇索引 :http://blog.csdn.net/chunlongyu/article/details/53360383
mysql-redis緩存-memcached緩存--原子操作與CAS樂觀鎖 :http://blog.csdn.net/chunlongyu/article/details/53346436
高并發(fā)秒殺系統(tǒng)的優(yōu)化 :http://www.reibang.com/p/cf950af25711
秒殺系統(tǒng)設(shè)計(jì)? :https://www.zhihu.com/question/54895548/answer/146924420
如何設(shè)計(jì)一個秒殺系統(tǒng) :http://blog.csdn.net/suifeng3051/article/details/52607544
一致性哈希算法原理及其在分布式系統(tǒng)中的應(yīng)用:http://blog.csdn.net/bzhxuexi/article/details/46422027
Tair分布式緩存 :https://www.cnblogs.com/lsx1993/p/4614896.html
tair緩存系統(tǒng)實(shí)現(xiàn):http://blog.csdn.net/counterzzd/article/details/19198927
分布式消息隊(duì)列淺析 :https://www.cnblogs.com/firstdream/p/6587057.html
淘寶大秒系統(tǒng)設(shè)計(jì)詳解 :https://www.cnblogs.com/jifeng/p/5264268.html
etcd
基于zookeeper的分布式lock實(shí)現(xiàn) :http://agapple.iteye.com/blog/1184040
ZooKeeper學(xué)習(xí)第四期---構(gòu)建ZooKeeper應(yīng)用:http://www.cnblogs.com/sunddenly/p/4064992.html
ZooKeeper學(xué)習(xí)第五期--ZooKeeper管理分布式環(huán)境中的數(shù)據(jù):http://www.cnblogs.com/sunddenly/p/4092654.html
Java技術(shù)博客:https://crowhawk.github.io/
JVM:https://crowhawk.github.io/2017/08/09/jvm_1/
常見設(shè)計(jì)模式的定義独郎,應(yīng)用場景和方法:http://www.reibang.com/p/f3c76b695167
面試要點(diǎn)——23種設(shè)計(jì)模式及其應(yīng)用場景:http://blog.csdn.net/zzxian/article/details/8392984
常用設(shè)計(jì)模式的應(yīng)用場景:http://blog.sina.com.cn/s/blog_76d0381f0100x5nz.html
5種最常用的設(shè)計(jì)模式:http://blog.csdn.net/cadenzasolo/article/details/50808287
java中的document類:http://blog.csdn.net/a4986/article/details/70217127
關(guān)于Class.getResource和ClassLoader.getResource的路徑問題:http://www.cnblogs.com/yejg1212/p/3270152.html
Raft 為什么是更易理解的分布式一致性算法:https://www.cnblogs.com/mindwind/p/5231986.html
分布式一致性算法Raft簡介(上):http://www.reibang.com/p/ee7646c0f4cf#
分布式一致性算法Raft詳解:https://www.2cto.com/database/201609/546053.html
java無死角測試:https://my.oschina.net/bigsloth/blog/187238
Raft一致性算法:http://blog.csdn.net/cszhouwei/article/details/38374603
Redis自增實(shí)現(xiàn)計(jì)數(shù)
Redis自增實(shí)現(xiàn)計(jì)數(shù)Redis自增實(shí)現(xiàn)計(jì)數(shù)
Redis自增實(shí)現(xiàn)計(jì)數(shù)