1.Kafka 官方设计文档
https://mp.weixin.qq.com/s?__biz=MzUzMTA2NTU2Ng==&mid=2247531424&idx=3&sn=455e347013f6188063b763b112d66a01&chksm=fa4a0411cd3d8d07fccf2caa5f341ebf5ee6d880470cbcccfe3f81c2aed425da13d0216c3c59&mpshare=1&scene=23&srcid=1111QC1ZnXghGdpmDiWaDiZ6&sharer_sharetime=1636619898767&sharer_shareid=f770d25bc57f1c2f9159f85750f854dc#rd
2. kafka 线上会遇到哪些问题
https://mp.weixin.qq.com/s?__biz=MzI3ODcxMzQzMw==&mid=2247548305&idx=3&sn=7a5c3fa2c8344bbd9b080db762d64d06&chksm=eb50b8a7dc2731b13dc30bf2994457b4e148c5c7ee5af16831137aea1a9eaca00bc0959332c2&mpshare=1&scene=23&srcid=1029mCBhJwGAYLznBuksqv9R&sharer_sharetime=1635488187041&sharer_shareid=f770d25bc57f1c2f9159f85750f854dc#rd
3.如何保证 MQ 消息是有序的？
https://mp.weixin.qq.com/s?__biz=MzA5ODM5MDU3MA==&mid=2650875923&idx=1&sn=3e4667f04a1fa3fdcf31f1891767df9c&chksm=8b67cf56bc1046401b5675d568aa33ef195a39f5d168ae6f4523259cf3b8cc941a6547dcc51c&mpshare=1&scene=23&srcid=1118AdNJ0GOYFXE5ZF82fbn4&sharer_sharetime=1637244709001&sharer_shareid=f770d25bc57f1c2f9159f85750f854dc#rd
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4.Kafka中值得我们学习的优秀设计
https://mp.weixin.qq.com/s/bkUVzF1moocX2ex2SciBdw
5.RabbitMQ 消息队列如何保证数据不丢失？
https://mp.weixin.qq.com/s?__biz=MzUxOTc4NjEyMw==&mid=2247522941&idx=3&sn=42e0a5098ff3b8766b24cb6ab21f9e08&chksm=f9f68199ce81088f6de0fdcb58f69a0e224a18e77d43e7dacef4e3fdbae800ddd9d52328e9e1&mpshare=1&scene=23&srcid=1209kSp9tcB2NQcDp96pk1P0&sharer_sharetime=1639050390655&sharer_shareid=f770d25bc57f1c2f9159f85750f854dc#rd
6.RocketMQ消息丢失如何排查？
https://mp.weixin.qq.com/s?__biz=MzIxMzk3Mjg5MQ==&mid=2247493473&idx=2&sn=1d58a2084a8aca8f45b23f11528e8e3b&chksm=97ac0595a0db8c8373f67332c3e5f4185da9cd47b0025a342bfae601d41a181c07520c58356a&mpshare=1&scene=23&srcid=0329heY4ojanERXGvJV6erMa&sharer_sharetime=1648534319201&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
7.深入剖析 RocketMQ 源码 - 负载均衡机制
https://mp.weixin.qq.com/s?__biz=MzI4NjY4MTU5Nw==&mid=2247493455&idx=2&sn=4f8fc9ce0fabec285a52f467d37338f6&chksm=ebdb97dddcac1ecb7326fa611bf87ec86df4f97e8158875a722ed3a3c073fda06afb0ae4f67d&mpshare=1&scene=23&srcid=0331WNfWlEI8sENXpQ9KHkIs&sharer_sharetime=1648699835856&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
8.深入理解零拷贝技术
https://mp.weixin.qq.com/s?__biz=MzUxOTc4NjEyMw==&mid=2247530008&idx=3&sn=073c9a8e3a12a16460b6c9e4464e78a6&chksm=f9f66dfcce81e4eafe346b21f3d9be0adcd5c6f9a73b6fbab1f7ccd3b3e7d0fee8e0bedd5360&mpshare=1&scene=23&srcid=03318VvMEAF6L1abquab0NNw&sharer_sharetime=1648707670665&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
9.消息队列经典十连问
https://mp.weixin.qq.com/s?__biz=MzUzMTA2NTU2Ng==&mid=2247539781&idx=2&sn=dbdafe2133b6f56c4d77d415d0d11f7f&chksm=fa4a23f4cd3daae2d7f95bbb125136204251985a1134c81319a56375ed470616fbad504485a7&mpshare=1&scene=23&srcid=0311Gj3hdLBmPtym9cb7AJwf&sharer_sharetime=1646957207903&sharer_shareid=f770d25bc57f1c2f9159f85750f854dc#rd
10.Kafka 怎么顺序消费
https://mp.weixin.qq.com/s?__biz=MzI3ODcxMzQzMw==&mid=2247559260&idx=2&sn=7d950a17774f19fb125692867445e5a7&chksm=eb516d6adc26e47caa6c81ef6b335b001df6209b6cc987e923cbe76c24ac38f7e82754e6a096&mpshare=1&scene=23&srcid=0317vPoSmCzxZmsMyED90a0J&sharer_sharetime=1647504033862&sharer_shareid=f770d25bc57f1c2f9159f85750f854dc#rd
-51 个核心点助你搞懂 Kafka
https://mp.weixin.qq.com/s?__biz=MzUxOTc4NjEyMw==&mid=2247529698&idx=3&sn=aac8d2607646d63296ec1cb6faa3cf7e&chksm=f9f66f06ce81e610945b89c4e979098a087a573cb1c0de102b71d033736ca78f852268692e76&mpshare=1&scene=23&srcid=03253jM5PHtVsmQWFWeAwVV0&sharer_sharetime=1648166492556&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
12.RabbitMQ如何保证全链路数据100%不丢失？
https://mp.weixin.qq.com/s?__biz=MzUxOTc4NjEyMw==&mid=2247531595&idx=2&sn=bda6318dbf31beae66b596d1e81b5a9b&chksm=f9f667afce81eeb98c4c4237b163013030ff6bb3ebb86ec1bea5594a7b69159c9e06a32bae23&mpshare=1&scene=23&srcid=0424JRiZHiKdulyMae0gHBbK&sharer_sharetime=1650811523950&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e%23rd
13.MQ设计思想(重要)
https://mp.weixin.qq.com/s?__biz=MzUzMTA2NTU2Ng==&mid=2247544858&idx=2&sn=b804c3ca23d02df100c23bbcca85e1a9&chksm=fa4a4fabcd3dc6bdc3c395a340ab91b914262551ce62ba2bf67e93d145631128a3f5bb136cbf&mpshare=1&scene=23&srcid=0521hwqY1YQwioeTHetTLrNN&sharer_sharetime=1653148434917&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e%23rd
14.SpringBoot+RabbitMQ 死信队列
https://mp.weixin.qq.com/s?__biz=MzUxOTc4NjEyMw==&mid=2247533447&idx=3&sn=67fd3e64649015d23462735c181d1a03&chksm=f9f65863ce81d175433dfeb9e6529e9dff36671e8de09bdb3fa233d299cdb3120e7c84ca5347&mpshare=1&scene=23&srcid=05271KYKZ2AKVpoWd4ihOMzQ&sharer_sharetime=1653658335494&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e%23rd
15.MQ 技术选型
https://mp.weixin.qq.com/s?__biz=MzUxOTc4NjEyMw==&mid=2247533975&idx=2&sn=fcf77b17fdce57fc5f944d5c502ec834&chksm=f9f65e73ce81d76587dbab33956167c8f45dcdfcb948c40b5bc3ea37f6b031dd7821dd884126&mpshare=1&scene=23&srcid=06044K8mAcmBIjdGMj5thvFn&sharer_sharetime=1654316297110&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e%23rd
16.5 张图带你理解 RocketMQ 延时消息机制
https://mp.weixin.qq.com/s?__biz=MzUzMzQ2MDIyMA==&mid=2247493979&idx=1&sn=a98d40bf1c1564e701f7d03e180bfbd1&chksm=faa10cc8cdd685deedb90e4e9b604acb83e5f9129cd2d782c9b917cba187b7fa3206fc99f37d&mpshare=1&scene=23&srcid=0614zkkuA9MFlsqrdnM4N89a&sharer_sharetime=1655172995077&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
6 种实现延时消息的方案
https://mp.weixin.qq.com/s?__biz=Mzg2ODU0NTA2Mw==&mid=2247488707&idx=1&sn=7d0b1e8b6bc05264191a4c2d54e03656&chksm=ceabf38bf9dc7a9dedda7d14bb0d14a50bc71bbf0b75ca81c23726a73b46d6729abeaea1da7c&mpshare=1&scene=23&srcid=06163o6oF0IClE5ATsAAXdDh&sharer_sharetime=1655389269883&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
谁再用定时任务实现关闭订单，立马滚蛋
https://mp.weixin.qq.com/s?__biz=MzIyNDU2ODA4OQ==&mid=2247497825&idx=1&sn=4bd0dd157d59ad0b6eb9965618368d3d&chksm=e80e4e17df79c701ab4c554354dd4678576e072efc8479673af1e51312f219afe9e30011cf61&mpshare=1&scene=23&srcid=0719mZo5fLV9fS19x3GgyahR&sharer_sharetime=1658189289058&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e%23rd
如何实现过期订单关闭
https://mp.weixin.qq.com/s?__biz=MzUzMTA2NTU2Ng==&mid=2247562812&idx=1&sn=e1d9451be75b04cb8f17c19ee0f98ef8&chksm=fa4b898dcd3c009be03968d5dccb95f3d3fcee3a3955808a5d7946fa52c5117d4d02fba9eb1b&mpshare=1&scene=23&srcid=1206HZWoorFFy6ZPXtbWYpzx&sharer_sharetime=1670286429478&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e%23rd
7.深度解读 RocketMQ 存储机制
https://mp.weixin.qq.com/s?__biz=MzU4NzU0MDIzOQ==&mid=2247510433&idx=1&sn=8a225b86bba5ed2b145a4bc03f7718ed&chksm=fde89bc1ca9f12d7ca9b2c2d5a2f196dd4232a4d633f481018c8ce2b35b10928f0fde6f9feef&mpshare=1&scene=23&srcid=0609ml2OJ35s8uvBt0IKc4SI&sharer_sharetime=1654821333900&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
8.一篇文章把RabbitMQ、RocketMQ、Kafka三元归一
https://mp.weixin.qq.com/s?__biz=MzIyNDU2ODA4OQ==&mid=2247497587&idx=1&sn=44dc7799339feb1a5012dd66428543dc&chksm=e80e4105df79c813520f5daff1979115b8d4806d14ad6db4af9e32c08f0638abb53fd79eaf14&mpshare=1&scene=23&srcid=070713B0xziGOrSe6kL5n4Nc&sharer_sharetime=1657190270935&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
Spring Boot 使用 Disruptor 做内部高性能消息队列
https://mp.weixin.qq.com/s?__biz=MzUxOTc4NjEyMw==&mid=2247536711&idx=2&sn=a247aea876f9aa1d411894b6d236924f&chksm=f9f64ba3ce81c2b5e66b07ce63dccee0ddc0534d818cc11d5f1848b174badc424cce3285a687&mpshare=1&scene=23&srcid=0704kojQ1tK6D7JlpgjbRwsV&sharer_sharetime=1656943273624&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
构建高性能内存队列：Disruptor 永远滴神
https://mp.weixin.qq.com/s?__biz=MzIyNDU2ODA4OQ==&mid=2247501790&idx=1&sn=e86cea20c7eb8075227aea9be87f97dc&chksm=e80e71a8df79f8be3fe59a81be769a9f669e607e47ec33b786fe7e249fbb32a55b2a5075f185&mpshare=1&scene=23&srcid=1208T94DGi5qCgUNVHFoJr3p&sharer_sharetime=1670459046037&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e%23rd
MQ 消息丢失、重复、积压问题，如何解决？
https://mp.weixin.qq.com/s?__biz=MzI3ODcxMzQzMw==&mid=2247566765&idx=2&sn=6be6cad8002dfa4b027c88a6f28b22bf&chksm=eb51409bdc26c98de67e15e4f70313e31002988000983cbcbd73ee7fd7efdc1cd8e2c64ec718&mpshare=1&scene=23&srcid=0727p7enk3RvNVflcelnNQLl&sharer_sharetime=1658880596356&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e%23rd
RabbitMQ 讲的那叫一个透彻，佩服！
https://mp.weixin.qq.com/s?__biz=MzUzMTA2NTU2Ng==&mid=2247552457&idx=1&sn=e9ba55ad37321db8f3310876e1cec890&chksm=fa4a7278cd3dfb6eb08465543a07ce129a34b2e26bff92bba7ca35f82dffacd7e3f7ee2dc6c2&mpshare=1&scene=23&srcid=0727BUnE9qWbatqhWbLbzuX6&sharer_sharetime=1658881579619&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e%23rd
Kafka之集群架构原理
https://mp.weixin.qq.com/s?__biz=MzUzMTA2NTU2Ng==&mid=2247553416&idx=3&sn=640c30e4d7c58c4d76ea836676a9ddfc&chksm=fa4a6e39cd3de72ff82dfb18b017eed2912d9a886627734797f132030ce1edb9389487714fc6&mpshare=1&scene=23&srcid=0802IFVv44MYIOTiTI5MbHvN&sharer_sharetime=1659407867215&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e%23rd
面试官： Kafka 为什么会丢消息？
https://mp.weixin.qq.com/s?__biz=Mzg2ODU0NTA2Mw==&mid=2247489112&idx=1&sn=5d80c85aa72ff8b3c9c0811185cd03bd&chksm=ceabf110f9dc78064c235677edf6d3eaa2bbb7adf270fe90497b990dbfb571102f010a38e6eb&mpshare=1&scene=23&srcid=1009HMcGLmpsnKHfN1ULnJfy&sharer_sharetime=1665275613096&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
消息队列原理和选型：Kafka、RocketMQ 、RabbitMQ 和 ActiveMQ
https://mp.weixin.qq.com/s?__biz=MzUzMTA2NTU2Ng==&mid=2247560900&idx=2&sn=ab2d6f605149806223bdbd52b6b30fbd&chksm=fa4b9175cd3c1863b5b26239aad0cd495fe647e1a4377d689d910561da5923fac4619f69a963&mpshare=1&scene=23&srcid=1108huboSgUYMU43zleAHGQO&sharer_sharetime=1667871827893&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
基于 RocketMQ 的分布式事务解决方案
https://mp.weixin.qq.com/s?__biz=MzUxOTc4NjEyMw==&mid=2247546946&idx=3&sn=e61fb1a76ca11cbb753d552aca88f911&chksm=f9f623a6ce81aab0dbb7191024e7c6fcb1ee6e2023e69387d1a1f102c7c9d9b5281c3f28e33e&mpshare=1&scene=23&srcid=1109gOdwYdORrJuFV24uKmjO&sharer_sharetime=1667954165972&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
Kafka万亿级消息实战
https://mp.weixin.qq.com/s?__biz=MzUzMTA2NTU2Ng==&mid=2247562061&idx=3&sn=5252ac63e48f16edf05020365cb50d3a&chksm=fa4b8cfccd3c05eaf26c44d2dfe90731f500e6ef7b31de38c8ad8501eff42946c2e4597b978c&mpshare=1&scene=23&srcid=1126KwEhGOyY37kgjhq3054A&sharer_sharetime=1669425139921&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
如何以最小成本实现Kafka扩缩容副本？
https://mp.weixin.qq.com/s?__biz=MzkwOTIxNDQ3OA==&mid=2247595405&idx=1&sn=cb538986af420224020d6af26422a892&chksm=c13d23ecf64aaafacbc17fa74a024f084e3b5ce8fdd34f01bc47c60af6346d79697609567eeb&mpshare=1&scene=23&srcid=0114l3n0Yzj0KJ07ya3VNKly&sharer_sharetime=1673681894423&sharer_shareid=7fec9c1809ccb850bfdebba7d4f7a81e#rd
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