apache kafka技术分享系列(目录索引)

本文深入探讨了Apache Kafka的核心技术,包括设计原理、优化策略、运维管理等方面,并提供了丰富的实战案例,帮助读者全面掌握Kafka的使用技巧。

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目录索引:

Kafka使用场景

1.为何使用消息系统

2.我们为何需要搭建Apache Kafka分布式系统

3.消息队列中点对点与发布订阅区别

Kafka设计与原理分析

2) Kafka副本同步机制理解
3) Kafka文件存储机制那些事(我在美团官博发表文章)

Kafka开发与管理:

1)kafak安装与使用

2)apache kafka中server.properties配置文件参数说明

3)Apache kafka客户端开发-java

4)kafka的ZkUtils类的java版本部分代码

5)kafka log4j配置

6)apache kafka的consumer初始化时获取不到消息

7)apache kafka源码构建打包

8)apache kafka迁移与扩容工具用法


Kafka运维手册

1)如何在Kafka上创建一个Topic

2)如何在Kafka上对一个Topic增加partition

3)如何在Kafka上对一个Topic增加replicas

4)如何在Kafka中修改Topic的preferred replica

5)如何在Kafka中对Topic的leader进行均衡

6)apache kafka中topic级别配置

7)apache Kafka下线broker的操作


kafka异常分析:

1)kafka LeaderNotAvailableException

2)kafka.common.ConsumerRebalanceFailedException异常解决办法

3)  apache Kafka中partition的leader为-1情况分析

4) kafka-0.8.2.1-src编译报错解决办法


Kafka线上CaseStudy

1)Consumer rebalance失败问题定位和解决思路

2)线上Mafka集群网卡打爆原因分析及解决方案


kafka管理与运维监控相关:

1)apache kafka监控系列-监控指标

2)apache kafka jmx监控指标参数

3)apache kafka监控系列-kafka-web-console

4)apache kafka监控系列-KafkaOffsetMonitor

5)雅虎开源管理工具Kafka Manager

6)Zookeeper管理或操作Apache Kafka


kafka性能测试:

1)apache kafka性能测试命令使用和构建kafka-perf

2)Kafka性能测试报告(虚拟机版)


kafka源码分析:

1)kafka在zookeeper中存储结构

2)kafka replication设计机制

3)Kafka Producer处理逻辑

4)apache kafka源代码工程环境搭建(IDEA)

5)Kafka Controller设计机制

6) kafka broker内部架构

7)apache kafka源码分析走读-kafka整体结构分析

8)apache kafka源码分析走读-Producer分析

9)apache kafka性能优化架构分析

10)apache kafka源码分析走读-server端网络架构分析

11)apache kafka源码分析走读-ZookeeperConsumerConnector分析

12)kafka & mafka client开发与实践

13kafka的ZookeeperConsumer实现

14)Kafka通过timestamp获取offset的机制详解

15)  apache Kafka是如何实现删除数据文件(日志)的

16)kafka broker shutdown过程分析

17)   apache kafka系列之源码分析走读-kafkaApi详解

18)apache kafka系列之源码分析走读-SocketServer分析


Makfa平台

1)mafka平台架构

2) Mafka Roadmap和实现

Set up Apache Kafka clusters and develop custom message producers and consumers using practical, hands-on examples Overview Write custom producers and consumers with message partition techniques Integrate Kafka with Apache Hadoop and Storm for use cases such as processing streaming data Provide an overview of Kafka tools and other contributions that work with Kafka in areas such as logging, packaging, and so on In Detail Message publishing is a mechanism of connecting heterogeneous applications together with messages that are routed between them, for example by using a message broker like Apache Kafka. Such solutions deal with real-time volumes of information and route it to multiple consumers without letting information producers know who the final consumers are. Apache Kafka is a practical, hands-on guide providing you with a series of step-by-step practical implementations, which will help you take advantage of the real power behind Kafka, and give you a strong grounding for using it in your publisher-subscriber based architectures. Apache Kafka takes you through a number of clear, practical implementations that will help you to take advantage of the power of Apache Kafka, quickly and painlessly. You will learn everything you need to know for setting up Kafka clusters. This book explains how Kafka basic blocks like producers, brokers, and consumers actually work and fit together. You will then explore additional settings and configuration changes to achieve ever more complex goals. Finally you will learn how Kafka works with other tools like Hadoop, Storm, and so on. You will learn everything you need to know to work with Apache Kafka in the right format, as well as how to leverage its power of handling hundreds of megabytes of messages per second from multiple clients. What you will learn from this book Download and build Kafka Set up single as well as multi-node Kafka clusters and send messages Learn Kafka design internals and message compression Understand how replication works in Kafka Write Kafka message producers and consumers using the Kafka producer API Get an overview of consumer configurations Integrate Kafka with Apache Hadoop and Storm Use Kafka administration tools Approach The book will follow a step-by-step tutorial approach which will show the readers how to use Apache Kafka for messaging from scratch. Who this book is written for Apache Kafka is for readers with software development experience, but no prior exposure to Apache Kafka or similar technologies is assumed. This book is also for enterprise application developers and big data enthusiasts who have worked with other publisher-subscriber based systems and now want to explore Apache Kafka as a futuristic scalable solution. Product Details Paperback: 88 pages Publisher: Packt Publishing (October 17, 2013) Language: English ISBN-10: 1782167935 ISBN-13: 978-1782167938 Product Dimensions: 9.2 x 7.5 x 0.2 inches
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